How molecular imaging will enable robotic precision surgery

1.

Lidsky ME, D’Angelica MI. An outlook on precision surgery. Eur J Surg Oncol 2017;43(5): 853–855. https://doi.org/10.1016/j.ejso.2016.11.014.PubMedCrossRef

2.

Liu S, Hemal A. Techniques of robotic radical prostatectomy for the management of prostate cancer: which one, when and why. Transl Androl Urol 2020;9(2):906–918. https://doi.org/10.21037/tau.2019.09.13.PubMedPubMedCentralCrossRef

3.

Petersen LJ, Zacho HD. PSMA PET for primary lymph node staging of intermediate and high-risk prostate cancer: an expedited systematic review. Cancer Imaging 2020;20(1):10. https://doi.org/10.1186/s40644-020-0290-9.PubMedPubMedCentralCrossRef

4.

Harbin AC, Eun DD. The role of extended pelvic lymphadenectomy with radical prostatectomy for high-risk prostate cancer. Urol Oncol 2015;33(5):208–216. https://doi.org/10.1016/j.urolonc.2014.11.011.PubMedCrossRef

5.

Tsai S-H, Tseng P-T, Sherer BA, Lai Y-C, Lin P-Y, Wu C-K, Stoller ML. Open versus robotic partial nephrectomy: Systematic review and meta-analysis of contemporary studies. Int J Med Robot 2019;15(1):e1963. https://doi.org/10.1002/rcs.1963.PubMedCrossRef

6.

Wang J, Li X, Wu H, Zhang Y, Wang F. A Meta-Analysis of Robotic Surgery in Endometrial Cancer: Comparison with Laparoscopy and Laparotomy. Dis Markers 2020;2020:2503753. https://doi.org/10.1155/2020/2503753.PubMedPubMedCentralCrossRef

7.

Schwartz G, Sancheti M, Blasberg J. Robotic Thoracic Surgery. Surg Clin North Am 2020;100(2):237–248. https://doi.org/10.1016/j.suc.2019.12.001.PubMedCrossRef

8.

Guerra F, Di Marino M, Coratti A. Robotic Surgery of the Liver and Biliary Tract. J Laparoendosc Adv Surg Tech A 2019;29(2):141–146. https://doi.org/10.1089/lap.2017.0628.PubMedCrossRef

9.

Addison P, Agnew JL, Martz J. Robotic Colorectal Surgery. Surg Clin North Am 2020; 100(2):337–360. https://doi.org/10.1016/j.suc.2019.12.012.PubMedCrossRef

10.

Finegersh A, Holsinger FC, Gross ND, Orosco RK. Robotic Head and Neck Surgery. Surg Oncol Clin N Am 2019;28(1):115–128. https://doi.org/10.1016/j.soc.2018.07.008.PubMedCrossRef

11.

Zhou M, Hamad M, Weiss J, Eslami A, Huang K, Maier M, Lohmann CP, Navab N, Knoll A, Nasseri MA. Towards Robotic Eye Surgery: Marker-Free, Online Hand-Eye Calibration Using Optical Coherence Tomography Images. IEEE Robot Autom Lett 2018;3(4):3944–3951. https://doi.org/10.1109/LRA.2018.2858744.CrossRef

12.

Nuzzi R, Brusasco L. State of the art of robotic surgery related to vision: brain and eye applications of newly available devices. Eye Brain 2018;10:13–24. https://doi.org/10.2147/EB.S148644.PubMedPubMedCentralCrossRef

13.

Liu Z, Wang S, Dong D, Wei J, Fang C, Zhou X, Sun K, Li L, Li B, Wang M, Tian J. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges. Theranostics 2019;9(5):1303–1322. https://doi.org/10.7150/thno.30309.PubMedPubMedCentralCrossRef

14.

Weissleder R. Molecular imaging: exploring the next frontier. Radiology 1999;212(3):609–614. https://doi.org/10.1148/radiology.212.3.r99se18609.PubMedCrossRef

15.

van Leeuwen FWB, Schottelius M, Brouwer OR, Vidal-Sicart S, Achilefu S, Klode J, Wester H-J, Buckle T. Trending: Radioactive and Fluorescent Bimodal/Hybrid Tracers as Multiplexing Solutions for Surgical Guidance. J Nucl Med 2020;61(1):13–19. https://doi.org/10.2967/jnumed.119.228684.PubMedCrossRef

16.

Mondal SB, O’Brien CM, Bishop K, Fields RC, Margenthaler JA, Achilefu S. Repurposing Molecular Imaging and Sensing for Cancer Image-Guided Surgery. J Nucl Med 2020;61(8):1113–1122. https://doi.org/10.2967/jnumed.118.220426.PubMedPubMedCentralCrossRef

17.

Povoski SP, Neff RL, Mojzisik CM, O’Malley DM, Hinkle GH, Hall NC, Murrey DA, Knopp MV, Martin EW. A comprehensive overview of radioguided surgery using gamma detection probe technology. World J Surg Oncol 2009;7:11. https://doi.org/10.1186/1477-7819-7-11.PubMedPubMedCentralCrossRef

18.

van Oosterom MN, Rietbergen DDD, Welling MM, Poel HGVD, Maurer T, van Leeuwen FWB. Recent advances in nuclear and hybrid detection modalities for image-guided surgery. Expert Rev Med Dev 2019;16(8):711–734. https://doi.org/10.1080/17434440.2019.1642104.CrossRef

19.

van Leeuwen FWB, Hardwick JCH, van Erkel AR. Luminescence-based Imaging Approaches in the Field of Interventional Molecular Imaging. Radiology 2015;276(1):12–29. https://doi.org/10.1148/radiol.2015132698.PubMedCrossRef

20.

Qian L, Wu JY, DiMaio SP, Navab N, Kazanzides P. A Review of Augmented Reality in Robotic-Assisted Surgery. IEEE Trans Med Robot Bion 2020;2(1):1–16. https://doi.org/10.1109/TMRB.2019.2957061.CrossRef

21.

Meershoek P, van Oosterom MN, Simon H, Mengus L, Maurer T, van Leeuwen PJ, Wit EMK, van der Poel HG, van Leeuwen FWB. Robot-assisted laparoscopic surgery using DROP-IN radioguidance: first-in-human translation. Eur J Nucl Med Mol Imaging 2019;46(1):49–53. https://doi.org/10.1007/s00259-018-4095-z.PubMedCrossRef

22.

Dell’Oglio P, Meershoek P, Maurer T, Wit EMK, van Leeuwen PJ, van der Poel HG, van Leeuwen FWB, van Oosterom MN. A DROP-IN Gamma Probe for Robot-assisted Radioguided Surgery of Lymph Nodes During Radical Prostatectomy. Eur Urol 2021;79(1):124–132. https://doi.org/10.1016/j.eururo.2020.10.031.PubMedCrossRef

23.

Harke NN, Godes M, Wagner C, Addali M, Fangmeyer B, Urbanova K, Hadaschik B, Witt JH. Fluorescence-supported lymphography and extended pelvic lymph node dissection in robot-assisted radical prostatectomy: a prospective, randomized trial. World J Urol 2018;36(11):1817–1823. https://doi.org/10.1007/s00345-018-2330-7.PubMedCrossRef

24.

van den Berg NS, Buckle T, KleinJan GH, van der Poel HG, van Leeuwen FWB. Multispectral Fluorescence Imaging During Robot-assisted Laparoscopic Sentinel Node Biopsy: A First Step Towards a Fluorescence-based Anatomic Roadmap. Eur Urol 2017;72(1):110–117. https://doi.org/10.1016/j.eururo.2016.06.012.CrossRef

25.

Rozenholc A, Samouelian V, Warkus T, Gauthier P, Provencher D, Sauthier P, Gauthier F, Drakopoulos P, Cormier B. Green versus blue: Randomized controlled trial comparing indocyanine green with methylene blue for sentinel lymph node detection in endometrial cancer. Gynecol Oncol 2019;153 (3):500–504. https://doi.org/10.1016/j.ygyno.2019.03.103.PubMedCrossRef

26.

Marino MV, Di Saverio S, Podda M, Gomez Ruiz M, Gomez Fleitas M. The Application of Indocyanine Green Fluorescence Imaging During Robotic Liver Resection: A Case-Matched Study. World J Surg 2019;43(10):2595–2606. https://doi.org/10.1007/s00268-019-05055-2.PubMedCrossRef

27.

Jafari MD, Lee KH, Halabi WJ, Mills SD, Carmichael JC, Stamos MJ, Pigazzi A. The use of indocyanine green fluorescence to assess anastomotic perfusion during robotic assisted laparoscopic rectal surgery. Surg Endosc 2013;27(8):3003–3008. https://doi.org/10.1007/s00464-013-2832-8.PubMedCrossRef

28.

van Leeuwen FWB, van Oosterom MN, Meershoek P, van Leeuwen PJ, Berliner C, van der Poel HG, Graefen M, Maurer T. Minimal-Invasive Robot-Assisted Image-Guided Resection of Prostate-Specific Membrane Antigen-Positive Lymph Nodes in Recurrent Prostate Cancer. Clin Nucl Med 2019;44(7): 580–581. https://doi.org/10.1097/RLU.0000000000002600.PubMedCrossRef

29.

Eder A.-C., Omrane MA, Stadlbauer S, Roscher M, Khoder WY, Gratzke C, Kopka K, Eder M, Meyer PT, Jilg CA, Ruf J. The PSMA-11-derived hybrid molecule PSMA-914 specifically identifies prostate cancer by preoperative PET/CT and intraoperative fluorescence imaging. Eur J Nucl Med Mol Imaging. 2021. https://doi.org/10.1007/s00259-020-05184-0.

30.

Hekman MC, Rijpkema M, Muselaers CH, Oosterwijk E, Hulsbergen-Van de Kaa CA, Boerman OC, Oyen WJ, Langenhuijsen JF, Mulders PF. Tumor-targeted Dual-modality Imaging to Improve Intraoperative Visualization of Clear Cell Renal Cell Carcinoma: A First in Man Study. Theranostics 2018;8(8):2161–2170. https://doi.org/10.7150/thno.23335.PubMedPubMedCentralCrossRef

31.

Shum CF, Bahler CD, Low PS, Ratliff TL, Kheyfets SV, Natarajan JP, Sandusky GE, Sundaram CP. Novel Use of Folate-Targeted Intraoperative Fluorescence, OTL38, in Robot-Assisted Laparoscopic Partial Nephrectomy: Report of the First Three Cases. J Endourol Case Rep 2016;2(1): 189–197. https://doi.org/10.1089/cren.2016.0104.PubMedPubMedCentralCrossRef

32.

Predina JD, Newton AD, Keating J, Barbosa EM, Okusanya O, Xia L, Dunbar A, Connolly C, Baldassari MP, Mizelle J, Delikatny EJ, Kucharczuk JC, Deshpande C, Kularatne SA, Low P, Drebin J, Singhal S. Intraoperative Molecular Imaging Combined With Positron Emission Tomography Improves Surgical Management of Peripheral Malignant Pulmonary Nodules. Ann Surg 2017;266(3): 479–488. https://doi.org/10.1097/SLA.0000000000002382.PubMedCrossRef

33.

van Oosterom MN, Simon H, Mengus L, Welling MM, van der Poel HG, van den Berg NS, van Leeuwen FW. Revolutionizing (robot-assisted) laparoscopic gamma tracing using a drop-in gamma probe technology. Am J Nucl Med Mol Imaging 2016;6(1):1–17.PubMedPubMedCentral

34.

Andras I, Mazzone E, van Leeuwen FWB, De Naeyer G, van Oosterom MN, Beato S, Buckle T, O’Sullivan S, van Leeuwen PJ, Beulens A, Crisan N, D’Hondt F, Schatteman P, van Der Poel H, Dell’Oglio P, Mottrie A. Artificial intelligence and robotics: a combination that is changing the operating room. World J Urol 2020;38(10):2359–2366. https://doi.org/10.1007/s00345-019-03037-6.PubMedCrossRef

35.

Valdés Olmos R A, Rietbergen DD, Vidal-Sicart S, Manca G, Giammarile F, Mariani G. Contribution of SPECT/CT imaging to radioguided sentinel lymph node biopsy in breast cancer, melanoma, and other solid cancers: from “open and see” to “see and open”. Q J Nucl Med Mol Imaging 2014;58(2): 127–139.PubMed

36.

Kido S, Hirano Y, Mabu S. Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation. Adv Exp Med Biol 2020;1213:47–58. https://doi.org/10.1007/978-3-030-33128-3_3.PubMedCrossRef

37.

Currie G, Rohren E. Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning. Semin Nucl Med 2021;51(2):102–111. https://doi.org/10.1053/j.semnuclmed.2020.08.002.PubMedCrossRef

38.

Zhou X. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches. Adv Exp Med Biol 2020;1213:135–147. https://doi.org/10.1007/978-3-030-33128-3_9.PubMedCrossRef

39.

Burwinkel H, Kazi A, Vivar G, Albarqouni S, Zahnd G, Navab N, Ahmadi S-A. Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, Lecture Notes in Computer Science. In: Shen D, Liu T, Peters T M, Staib L H, Essert C, Zhou S, Yap P-T, and Khan A, editors. Cham: Springer International Publishing; 2019. p. 640–648.

40.

Dong X, Lei Y, Wang T, Thomas M, Tang L, Curran WJ, Liu T, Yang X. Automatic multiorgan segmentation in thorax CT images using U-net-GAN. Med Phys 2019;46(5): 2157–2168. https://doi.org/10.1002/mp.13458.PubMedCrossRef

41.

Han M, Yao G, Zhang W, Mu G, Zhan Y, Zhou X, Gao Y. Segmentation of CT thoracic organs by multi-resolution vb-nets. Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019. In: Petitjean C, Ruan S, Lambert Z, and Dubray B, editors, CEUR Workshop Proceedings. CEUR-WS.org; 2019. http://ceur-ws.org/Vol-2349/SegTHOR2019_paper_1.pdf.

42.

He T, Hu J, Song Y, Guo J, Yi Z. Multi-task learning for the segmentation of organs at risk with label dependence. Med Image Anal 2020;61:101666. https://doi.org/10.1016/j.media.2020.101666.PubMedCrossRef

43.

Lavdas I, Glocker B, Kamnitsas K, Rueckert D, Mair H, Sandhu A, Taylor SA, Aboagye EO, Rockall AG. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach. Med Phys 2017;44(10):5210–5220. https://doi.org/10.1002/mp.12492.PubMedCrossRef

44.

Feng X, Qing K, Tustison NJ, Meyer CH, Chen Q. Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images. Med Phys 2019;46(5):2169–2180. https://doi.org/10.1002/mp.13466.PubMedCrossRef

45.

Zhao Y, Gafita A, Vollnberg B, Tetteh G, Haupt F, Afshar-Oromieh A, Menze B, Eiber M, Rominger A, Shi K. Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT. Eur J Nucl Med Mol Imaging 2020;47(3):603–613. https://doi.org/10.1007/s00259-019-04606-y.PubMedCrossRef

46.

Zhong Z, Kim Y, Zhou L, Plichta K, Allen B, Buatti J, Wu X. 3D fully convolutional networks for co-segmentation of tumors on PET-CT images. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018); 2018. p. 228–231.

47.

Li L, Zhao X, Lu W, Tan S. Deep Learning for Variational Multimodality Tumor Segmentation in PET/CT. Neurocomputing 2020;392:277–295. https://doi.org/10.1016/j.neucom.2018.10.099.PubMedCrossRef

48.

Chen H, Chen H, Wang L. Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT Images. Head and Neck Tumor Segmentation, Lecture Notes in Computer Science. In: Andrearczyk V, Oreiller V, and Depeursinge A, editors. Cham: Springer International Publishing; 2021. p. 53–58.

49.

Huang B, Chen Z, Wu P-M, Ye Y, Feng S-T, Wong C-Y O, Zheng L, Liu Y, Wang T, Li Q, Huang B. Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study. Contrast Media Mol Imaging 2018;2018:8923028. https://doi.org/10.1155/2018/8923028.PubMedPubMedCentralCrossRef

50.

Jemaa S, Fredrickson J, Carano RAD, Nielsen T, de Crespigny A, Bengtsson T. Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks. J Digit Imaging 2020;33(4):888–894. https://doi.org/10.1007/s10278-020-00341-1.PubMedPubMedCentralCrossRef

51.

Liu L, Zhang B, Wang H. Organ Localization in PET/CT Images using Hierarchical Conditional Faster R-CNN Method. Proceedings of the Third International Symposium on Image Computing and Digital Medicine, ISICDM 2019. New York: Association for Computing Machinery; 2019. p. 249–253.

52.

Amyar A, Ruan S, Gardin I, Chatelain C, Decazes P, Modzelewski R. 3-D RPET-NET: Development of a 3-D PET Imaging Convolutional Neural Network for Radiomics Analysis and Outcome Prediction. IEEE Trans Radiat Plasma Med Sci 2019;3(2):225–231. https://doi.org/10.1109/TRPMS.2019.2896399.CrossRef

53.

Wang C, Liu C, Chang Y, Lafata K, Cui Y, Zhang J, Sheng Y, Mowery Y, Brizel D, Yin F-F. Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application. Front Oncol 2020;10:1592. https://doi.org/10.3389/fonc.2020.01592.PubMedPubMedCentralCrossRef

54.

Testori A, Rastrelli M, De Fiori E, Soteldo J, Della Vigna P, Trifir G, Mazzarol G, Travaini LL, Verrecchia F, Ratto EL, Bellomi M. Radio-guided ultrasound lymph node localization: feasibility of a new technique for localizing and excising nonpalpable lymph nodes ultrasound suspicious for melanoma metastases. Melanoma Res 2010;20(3):197–202. https://doi.org/10.1097/CMR.0b013e3283350527.PubMedCrossRef

55.

Vilar Tabanera A, Ajuria O, Rioja ME, Caba ns Montero J. Selective Neck Dissection Guided by a Radioactive I125 Seed for Papillary Thyroid Carcinoma Recurrence. Cir Esp 2020;98(8):478–481. https://doi.org/10.1016/j.ciresp.2020.04.018.PubMedCrossRef

56.

Einspieler I, Novotny A, Okur A, Essler M, Martignoni ME. First experience with image-guided resection of paraganglioma. Clin Nucl Med 2014;39(8):e379–381. https://doi.org/10.1097/RLU.0000000000000239.PubMedCrossRef

57.

Badenes-Romero A, Orozco-Cortés J, Balaguer-Mu noz D, Abreu SÁnchez P, Mut Dólera T, Gómez-Abril S A, Dolz-Gaitón R, Cabellero Calabuig E, Cueto Caadas B, Latorre Agraz I, Reyes Ojeda MD, Plancha Mansanet C, Esteban Hurtado A. Detección radioguiada de lesión oculta no palpable (ROLL) en un caso de metÁstasis abdominal de tumor neuroendocrino. Rev Esp Enferm Dig 2020;112(10):768–771. https://doi.org/10.17235/reed.2020.6926/2020.PubMedCrossRef

58.

Reiner BI, Siegel EL, Hooper F, Pomerantz SM, Protopapas Z, Pickar E, Killewich L. Picture archiving and communication systems and vascular surgery: clinical impressions and suggestions for improvement. J Digit Imaging 1996;9(4):167–171. https://doi.org/10.1007/BF03168613.PubMedCrossRef

59.

Bhayani SB, Snow DC. Novel dynamic information integration during da Vinci robotic partial nephrectomy and radical nephrectomy. J Robot Surg 2008;2(2):67–69. https://doi.org/10.1007/s11701-008-0083-9.PubMedCrossRef

60.

Porpiglia F, Fiori C, Checcucci E, Amparore D, Bertolo R. Hyperaccuracy Three-dimensional Reconstruction Is Able to Maximize the Efficacy of Selective Clamping During Robot-assisted Partial Nephrectomy for Complex Renal Masses. Eur Urol 2018;74(5):651–660. https://doi.org/10.1016/j.eururo.2017.12.027.PubMedCrossRef

61.

Navab N, Blum T, Wang L, Okur A, Wendler T. First Deployments of Augmented Reality in Operating Rooms. Computer 2012;45(7):48–55. https://doi.org/10.1109/MC.2012.75.CrossRef

62.

Vorbeck F, Cartellieri M, Ehrenberger K, Imhof H. Intraoperative navigation in paranasal sinus surgery with the Philips “Neuroguide” system. Radiologe 2000;40(3):227–232. https://doi.org/10.1007/s001170050661.PubMedCrossRef

63.

Su L-M, Vagvolgyi BP, Agarwal R, Reiley CE, Taylor RH, Hager GD. Augmented Reality During Robot-assisted Laparoscopic Partial Nephrectomy: Toward Real-Time 3D-CT to Stereoscopic Video Registration. Urol 2009;73(4):896–900. https://doi.org/10.1016/j.urology.2008.11.040.PubMedCrossRef

64.

Robu MR, Ramalhinho J, Thompson S, Gurusamy K, Davidson B, Hawkes D, Stoyanov D, Clarkson MJ. Global rigid registration of CT to video in laparoscopic liver surgery. Int J Comput Assist Radiol Surg 2018;13(6):947–956. https://doi.org/10.1007/s11548-018-1781-z.PubMedPubMedCentralCrossRef

65.

Hattab G, Arnold M, Strenger L, Allan M, Arsentjeva D, Gold O, Simpfendörfer T, Maier-Hein L, Speidel S. Kidney edge detection in laparoscopic image data for computer-assisted surgery : Kidney edge detection. Int J Comput Assist Radiol Surg 2020;15(3):379–387. https://doi.org/10.1007/s11548-019-02102-0.PubMedCrossRef

66.

Luo H, Yin D, Zhang S, Xiao D, He B, Meng F, Zhang Y, Cai W, He S, Zhang W, Hu Q, Guo H, Liang S, Zhou S, Liu S, Sun L, Guo X, Fang C, Liu L, Jia F. Augmented reality navigation for liver resection with a stereoscopic laparoscope. Comput Methods Programs Biomed 2020;187:105099. https://doi.org/10.1016/j.cmpb.2019.105099.PubMedCrossRef

67.

Samei G, Tsang K, Kesch C, Lobo J, Hor S, Mohareri O, Chang S, Goldenberg SL, Black PC, Salcudean S. A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy. Med Image Anal 2020;60:101588. https://doi.org/10.1016/j.media.2019.101588.PubMedCrossRef

68.

Hughes-Hallett A, Pratt P, Mayer E, Marco AD, Yang G-Z, Vale J, Darzi A. Intraoperative Ultrasound Overlay in Robot-assisted Partial Nephrectomy: First Clinical Experience. Eur Urol 2014; 65(3):671–672. https://doi.org/10.1016/j.eururo.2013.11.001.PubMedCrossRef

69.

van Oosterom MN, van der Poel HG, Navab N, van de Velde CJH, van Leeuwen FWB. Computer-assisted surgery: virtual- and augmented-reality displays for navigation during urological interventions. Curr Opin Urol 2018;28(2):205–213. https://doi.org/10.1097/MOU.0000000000000478.

70.

Shekhar R, Dandekar O, Bhat V, Philip M, Lei P, Godinez C, Sutton E, George I, Kavic S, Mezrich R, Park A. Live augmented reality: a new visualization method for laparoscopic surgery using continuous volumetric computed tomography. Surg Endosc 2010;24(8): 1976–1985. https://doi.org/10.1007/s00464-010-0890-8.PubMedCrossRef

71.

Bernhardt S, Nicolau SA, Agnus V, Soler L, Doignon C, Marescaux J. Automatic localization of endoscope in intraoperative CT image: A simple approach to augmented reality guidance in laparoscopic surgery. Med Image Anal 2016;30:130–143. https://doi.org/10.1016/j.media.2016.01.008.PubMedCrossRef

72.

Vetter C, Lasser T, Wendler T, Navab N. 1D-3D registration for functional nuclear imaging. Med Image Comput Comput Assist Interv 2011;14(Pt 1):227–234.PubMed

73.

Pinto F, Fuerst B, Frisch B, Navab N. Radiopositive Tissue Displacement Compensation for SPECT-guided Surgery. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Lecture Notes in Computer Science. In: Navab N, Hornegger J, Wells W M, and Frangi A, editors. Cham: Springer International Publishing; 2015. p. 536–543.

74.

Brouwer OR, van den Berg NS, Mathéron H M, Wendler T, van der Poel HG, Horenblas S, Valdés Olmos R A, van Leeuwen FWB. Feasibility of Intraoperative Navigation to the Sentinel Node in the Groin Using Preoperatively Acquired Single Photon Emission Computerized Tomography Data: Transferring Functional Imaging to the Operating Room. J Urol 2014;192(6):1810–1816. https://doi.org/10.1016/j.juro.2014.03.127.PubMedCrossRef

75.

Brouwer OR, Buckle T, Bunschoten A, Kuil J, Vahrmeijer AL, Wendler T, Valdés-Olmos R A, van der Poel HG, van Leeuwen FWB. Image navigation as a means to expand the boundaries of fluorescence-guided surgery. Phys Med Biol 2012;57(10):3123–3136. https://doi.org/10.1088/0031-9155/57/10/3123.PubMedCrossRef

76.

KleinJan GH, van den Berg NS, van Oosterom MN, Wendler T, Miwa M, Bex A, Hendricksen K, Horenblas S, van Leeuwen FWB. Toward (Hybrid) Navigation of a Fluorescence Camera in an Open Surgery Setting. J Nucl Med 2016;57(10):1650–1653. https://doi.org/10.2967/jnumed.115.171645.PubMedCrossRef

77.

van Oosterom MN, Meershoek P, KleinJan GH, Hendricksen K, Navab N, van de Velde CJH, van der Poel HG, van Leeuwen FWB. Navigation of Fluorescence Cameras during Soft Tissue Surgery-Is it Possible to Use a Single Navigation Setup for Various Open and Laparoscopic Urological Surgery Applications?. J Urol 2018;199(4):1061–1068. https://doi.org/10.1016/j.juro.2017.09.160.

78.

Azargoshasb S, Houwing KHM, Roos PR, van Leeuwen SI, Boonekamp M, Mazzone E, Bauwens K, Dell’Oglio P, van Leeuwen F, van Oosterom MN. Optical navigation of a DROP-IN gamma probe as a means to strengthen the connection between robot-assisted and radioguided surgery. J Nucl Med. 2021 https://doi.org/10.2967/jnumed.120.259796.

79.

Volonté F, Buchs NC, Pugin F, Spaltenstein J, Schiltz B, Jung M, Hagen M, Ratib O, Morel P. Augmented reality to the rescue of the minimally invasive surgeon. The usefulness of the interposition of stereoscopic images in the Da Vinci robotic console. Int J Med Robot 2013;9(3):e34–38. https://doi.org/10.1002/rcs.1471.PubMedCrossRef

80.

López-Mir F, Naranjo V, Fuertes JJ, Alcaiz M, Bueno J, Pareja E. Design and Validation of an Augmented Reality System for Laparoscopic Surgery in a Real Environment. BioMed Res Int 2013; 2013:758491. https://doi.org/10.1155/2013/758491.PubMedPubMedCentralCrossRef

81.

Wagner A, Ploder O, Enislidis G, Truppe M, Ewers R. Virtual image guided navigation in tumor surgery–technical innovation. J Craniomaxillofac Surg 1995; 23 (5): 217–213. https://doi.org/10.1016/s1010-5182(05)80155-6.PubMedCrossRef

82.

King AP, Edwards PJ, Maurer CR, de Cunha DA, Hawkes DJ, Hill DL, Gaston RP, Fenlon MR, Strong AJ, Chandler CL, Richards A, Gleeson MJ. A system for microscope-assisted guided interventions. Stereotact Funct Neurosurg 1999;72(2-4):107–111. https://doi.org/10.1159/000029708.PubMedCrossRef

83.

Bichlmeier C, Heining SM, Feuerstein M, Navab N. The virtual mirror: a new interaction paradigm for augmented reality environments. IEEE Trans Med Imaging 2009;28(9):1498–1510. https://doi.org/10.1109/TMI.2009.2018622.PubMedCrossRef

84.

Bichlmeier C, Sandro Michael H, Mohammad R, Nassir N. Laparoscopic Virtual Mirror for Understanding Vessel Structure: Evaluation Study by Twelve Surgeons. Proceedings of the 6th International Symposium on Mixed and Augmented Reality (ISMAR). Nara, Japan; 2007. p. 125–128.

85.

Bichlmeier C, Kipot M, Holdstock S, Heining SM, Euler E, Navab N. A Practical Approach for Intraoperative Contextual In-Situ Visualization. International Workshop on Augmented environments for Medical Imaging including Augmented Reality in Computer-aided Surgery (AMI-ARCS 2009). New York: MICCAI Society; 2009.

86.

Kutter O, Aichert A, Bichlmeier C, Michael R, Ockert B, Euler E, Navab N. Real-time Volume Rendering for High Quality Visualization. in Augmented Reality. International Workshop on Augmented environments for Medical Imaging including Augmented Reality in Computer-aided Surgery (AMI-ARCS 2008; 2008.

87.

Pakhomov D, Shen W, Navab N. Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS). Las Vegas: IEEE; October 2020. p. 8499–8504.

88.

Pauly O, Diotte B, Fallavollita P, Weidert S, Euler E, Navab N. Machine learning-based augmented reality for improved surgical scene understanding. Comput Med Imaging Graph 2015;41: 55–60. https://doi.org/10.1016/j.compmedimag.2014.06.007.PubMedCrossRef

89.

Ojodu I, Ogunsemoyin A, Hopp S, Pohlemann T, Ige O, Akinola O. C-arm fluoroscopy in orthopaedic surgical practice. Eur J Orthop Surg Traumatol 2018;28(8):1563–1568. https://doi.org/10.1007/s00590-018-2234-7.PubMedCrossRef

90.

Kamiyama T, Kakisaka T, Orimo T. Current role of intraoperative ultrasonography in hepatectomy. Surg Today. 2021. https://doi.org/10.1007/s00595-020-02219-9.

91.

Noh T, Mustroph M, Golby AJ. Intraoperative Imaging for High-Grade Glioma Surgery. Neurosurg Clin N Am 2021;32(1):47–54. https://doi.org/10.1016/j.nec.2020.09.003.PubMedCrossRef

92.

MacCuaig WM, Jones MA, Abeyakoon O, McNally LR. Development of Multispectral Optoacoustic Tomography as a Clinically Translatable Modality for Cancer Imaging. Radiol Imaging Cancer 2020;2 (6):e200066. https://doi.org/10.1148/rycan.2020200066.PubMedPubMedCentralCrossRef

93.

Ferrer-Roca O. 2010. Telepathology and Optical Biopsy. https://doi.org/10.1155/2009/740712.

94.

Pinto M, Zorn KC, Tremblay J-P, Desroches J, Dallaire F, Aubertin K, Marple ET, Kent C, Leblond F, Trudel D, Lesage F. Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures. JBO 2019;24(2): 025001. https://doi.org/10.1117/1.JBO.24.2.025001.PubMedCentral

95.

Wendler T, Traub J, Ziegler SI, Navab N. Navigated three dimensional beta probe for optimal cancer resection. Med Image Comput Comput Assist Interv 2006;9(Pt 1):561–569.PubMed

96.

Wendler T, Hartl A, Lasser T, Traub J, Daghighian F, Ziegler SI, Navab N. Towards intra-operative 3D nuclear imaging: reconstruction of 3D radioactive distributions using tracked gamma probes. Med Image Comput Comput Assist Interv 2007;10(Pt 2):909–917. https://doi.org/10.1007/978-3-540-75759-7_110.PubMed

97.

Bluemel C, Matthies P, Herrmann K, Povoski SP. 3D Scintigraphic Imaging and Navigation in Radioguided Surgery: Freehand SPECT Technology and its Clinical Applications. Expert Rev Med Devices. 2016. https://doi.org/10.1586/17434440.2016.1154456.

98.

Maurer T, Robu S, Schottelius M, Schwamborn K, Rauscher I, van den Berg NS, van Leeuwen FWB, Haller B, Horn T, Heck MM, Gschwend JE, Schwaiger M, Wester H-J, Eiber M. 99mTechnetium-based Prostate-specific Membrane Antigenradioguided Surgery in Recurrent Prostate Cancer. Eur Urol 2019;75(4):659–666. https://doi.org/10.1016/j.eururo.2018.03.013.PubMedCrossRef

99.

Michel R, Hofer C. Radiation safety precautions for sentinel lymph node procedures. Health Phys 2004;86(2 Suppl):S35–37. https://doi.org/10.1097/00004032-200402001-00011.PubMedCrossRef

100.

Piert M, Burian M, Meisetschläger G, Stein HJ, Ziegler S, Nährig J, Picchio M, Buck A, Siewert JR, Schwaiger M. Positron detection for the intraoperative localisation of cancer deposits. Eur J Nucl Med Mol Imaging 2007;34(10):1534–1544. https://doi.org/10.1007/s00259-007-0430-5.PubMedPubMedCentralCrossRef

101.

Hoffman EJ, Tornai MP, Janecek M, Patt BE, Iwanczyk JS. Intraoperative probes and imaging probes. Eur J Nucl Med 1999;26(8):913–935. https://doi.org/10.1007/s002590050468.PubMedCrossRef

102.

van der Poel HG, Meershoek P, Grivas N, KleinJan G, van Leeuwen FWB, Horenblas S. Sentinel node biopsy and lymphatic mapping in penile and prostate cancer. Urologe A 2017;56(1):13–17. https://doi.org/10.1007/s00120-016-0270-7.PubMedCrossRef

103.

Rossetti D, Vitale SG, Tropea A, Biondi A, Lagan A S. New procedures for the identification of sentinel lymph node: shaping the horizon of future management in early stage uterine cervical cancer. Updates Surg 2017;69(3):383–388. https://doi.org/10.1007/s13304-017-0456-6.PubMedCrossRef

104.

Gunelli R, Fiori M, Salaris C, Salomone U, Urbinati M, Vici A, Zenico T, Bertocco M. The role of intraoperative ultrasound in small renal mass robotic enucleation. Arch Ital Urol Androl 2016; 88(4):311–313. https://doi.org/10.4081/aiua.2016.4.311.PubMedCrossRef

105.

Collamati F, van Oosterom MN, De Simoni M, Faccini R, Fischetti M, Mancini Terracciano C, Mirabelli R, Moretti R, Heuvel JO, Solfaroli Camillocci E, van Beurden F, van der Poel HG, Valdes Olmos RA, van Leeuwen PJ, van Leeuwen FWB, Morganti S. A DROP-IN beta probe for robot-assisted 68Ga-PSMA radioguided surgery: first ex vivo technology evaluation using prostate cancer specimens. EJNMMI Res 2020;10(1):92. https://doi.org/10.1186/s13550-020-00682-6.PubMedPubMedCentralCrossRef

106.

Heller S, Zanzonico P. Nuclear probes and intraoperative gamma cameras. Semin Nucl Med 2011;41(3):166–181. https://doi.org/10.1053/j.semnuclmed.2010.12.004.PubMedCrossRef

107.

Hellingman D, Vidal-Sicart S Herrmann K, Nieweg O E, Povoski S P, (eds). 2016. The Use of Intraoperative Small and Large Field of View Gamma Cameras for Radioguided Surgery. Cham: Springer International Publishing.

108.

Tsuchimochi M, Hayama K. Intraoperative gamma cameras for radioguided surgery: technical characteristics, performance parameters, and clinical applications. Phys Med 2013; 29(2):126–138. https://doi.org/10.1016/j.ejmp.2012.05.002.PubMedCrossRef

109.

Gitsch E, Philipp K, Pateisky N. Intraoperative lymph scintigraphy during radical surgery for cervical cancer. J Nucl Med 1984;25(4):486–489.PubMed

110.

Vermeeren L, Valdés Olmos R A, Meinhardt W, Bex A, van der Poel HG, Vogel WV, Sivro F, Hoefnagel CA, Horenblas S. Intraoperative radioguidance with a portable gamma camera: a novel technique for laparoscopic sentinel node localisation in urological malignancies. Eur J Nucl Med Mol Imaging 2009;36(7):1029–1036. https://doi.org/10.1007/s00259-009-1100-6.PubMedCrossRef

111.

Vermeeren L, Meinhardt W, Bex A, van der Poel HG, Vogel WV, Hoefnagel CA, Horenblas S, Valdés Olmos R A. Paraaortic sentinel lymph nodes: toward optimal detection and intraoperative localization using SPECT/CT and intraoperative real-time imaging. J Nucl Med 2010;51(3):376–382. https://doi.org/10.2967/jnumed.109.071779.PubMedCrossRef

112.

Kang HG, Song SH, Han YB, Lee H-Y, Kim KM, Hong SJ. Proof-of-concept of a multimodal laparoscope for simultaneous NIR/gamma/visible imaging using wavelength division multiplexing. Opt Express 2018;26(7):8325–8339. https://doi.org/10.1364/OE.26.008325.PubMedCrossRef

113.

Wendler T, Herrmann K, Schnelzer A, Lasser T, Traub J, Kutter O, Ehlerding A, Scheidhauer K, Schuster T, Kiechle M, Schwaiger M, Navab N, Ziegler SI, Buck AK. First demonstration of 3-D lymphatic mapping in breast cancer using freehand SPECT. Eur J Nucl Med Mol Imaging 2010;37(8):1452–1461. https://doi.org/10.1007/s00259-010-1430-4.PubMedCrossRef

114.

Freesmeyer M, Opfermann T, Winkens T. Hybrid integration of real-time US and freehand SPECT: proof of concept in patients with thyroid diseases. Radiology 2014;271(3):856–861. https://doi.org/10.1148/radiol.14132415.PubMedCrossRef

115.

Freesmeyer M, Winkens T, Opfermann T, Elsner P, Runnebaum I, Darr A. Real-time ultrasound and freehand-SPECT. Experiences with sentinel lymph node mapping. Nuklearmedizin 2014;53(6):259–264. https://doi.org/10.3413/Nukmed-0680-14-06.PubMedCrossRef

116.

Bluemel C, Safak G, Cramer A, Wöckel A, Gesierich A, Hartmann E, Schmid J-S, Kaiser F, Buck AK, Herrmann K. Fusion of freehand SPECT and ultrasound: First experience in preoperative localization of sentinel lymph nodes. Eur J Nucl Med Mol Imaging 2016;43(13):2304–2312. https://doi.org/10.1007/s00259-016-3443-0.PubMedCrossRef

117.

Bluemel C, Kirchner P, Kajdi GW, Werner RA, Herrmann K. Localization of Parathyroid Adenoma With Real-Time Ultrasound: Freehand SPECT Fusion. Clin Nucl Med 2016;41(3):e141–142. https://doi.org/10.1097/RLU.0000000000000960.PubMedCrossRef

118.

Monge F, Shakir DI, Lejeune F, Morandi X, Navab N, Jannin P. Acquisition models in intraoperative positron surface imaging. Int J Comput Assist Radiol Surg 2017;12(4):691–703. https://doi.org/10.1007/s11548-016-1487-z.PubMedCrossRef

119.

Shakir DI, Okur A, Hart A, Matthies P, Ziegler SI, Essler M, Lasser T, Navab N. Towards intra-operative PET for head and neck cancer: lymph node localization using high-energy probes. Med Image Comput Comput Assist Interv 2012;15(Pt 1):430–437. https://doi.org/10.1007/978-3-642-33415-3_53.PubMed

120.

Frisch B. Combining endoscopic ultrasound with Time-Of-Flight PET: The EndoTOFPET-US Project. Nuclear Instrum Methods Phys Res Sect A: Accel Spectrometers, Detect Assoc Equipment 2013;732: 577–580. https://doi.org/10.1016/j.nima.2013.05.027.CrossRef

121.

Liyanaarachchi MR, Shimazoe K, Takahashi H, Nakagawa K, Kobayashi E, Sakuma I. Development and evaluation of a prototype detector for an intraoperative laparoscopic coincidence imaging system with PET tracers. Int J CARS 2021;16(1):29–39. https://doi.org/10.1007/s11548-020-02282-0.CrossRef

122.

Markus A, Ray ASC, Bolla D, Müller J, Diener P-A, Wendler T, Hornung R. Sentinel lymph node biopsy in endometrial and cervical cancers using freehand SPECTfirst experiences. Gynecol Surg 2016;13(4):499–506. https://doi.org/10.1007/s10397-016-0969-x.CrossRef

123.

Müller J, Putora PM, Schneider T, Zeisel C, Brutsche M, Baty F, Markus A, Kick J. Handheld single photon emission computed tomography (handheld SPECT) navigated video-assisted thoracoscopic surgery of computer tomography-guided radioactively marked pulmonary lesions. Interact Cardiovasc Thorac Surg 2016;23(3):345–350. https://doi.org/10.1093/icvts/ivw136.PubMedCrossRef

124.

Fuerst B, Sprung J, Pinto F, Frisch B, Wendler T, Simon H, Mengus L, van den Berg NS, van der Poel HG, van Leeuwen FWB, Navab N. First Robotic SPECT for Minimally Invasive Sentinel Lymph Node Mapping. IEEE Trans Med Imaging 2016;35(3):830–838. https://doi.org/10.1109/TMI.2015.2498125.PubMedCrossRef

125.

Huang B, Tsai Y-Y, Cartucho J, Vyas K, Tuch D, Giannarou S, Elson DS. Tracking and visualization of the sensing area for a tethered laparoscopic gamma probe. Int J CARS 2020;15(8): 1389–1397. https://doi.org/10.1007/s11548-020-02205-z.CrossRef

126.

Matthies P, Sharma K, Okur A, Gardiazabal J, Vogel J, Lasserl T, Navab N. First use of mini gamma cameras for intra-operative robotic SPECT reconstruction. Med Image Comput Comput Assist Interv;16(Pt 1):163–170. https://doi.org/10.1007/978-3-642-40811-3_21.

127.

Matthies P, Gardiazabal J, Okur A, Vogel J, Lasser T, Navab N. Mini gamma cameras for intra-operative nuclear tomographic reconstruction. Med Image Anal 2014;18(8):1329–1336. https://doi.org/10.1016/j.media.2014.04.009.PubMedCrossRef

128.

Gardiazabal J, Matthies P, Vogel J, Frisch B, Navab N, Ziegler S, Lasser T. Flexible mini gamma camera reconstructions of extended sources using step and shoot and list mode. Med Phys 2016; 43(12):6418. https://doi.org/10.1118/1.4966700.PubMedCrossRef

129.

Gardiazabal J, Esposito M, Matthies P, Okur A, Vogel J, Kraft S, Frisch B, Lasser T, Navab N. Towards personalized interventional SPECT-CT imaging. Med Image Comput Comput Assist Interv 2014;17(Pt 1):504–511. https://doi.org/10.1007/978-3-319-10404-1_63.PubMed

130.

Rietbergen DDD, Meershoek P, van Oosterom MN, Roestenberg M, van Erkel AR, Smit F, van der Hage JA, Valdés Olmos R A, van Leeuwen FWB. Freehand-SPECT with 99mTc-HDP as tool to guide percutaneous biopsy of skeletal lesions detected on bone scintigraphy. Rev Esp Med Nucl Imagen Mol 2019;38(4):218–223. https://doi.org/10.1016/j.remn.2019.01.003.PubMed

131.

Schilling C, Gnansegaran G, Thavaraj S, McGurk M. Intraoperative sentinel node imaging versus SPECT/CT in oral cancer - A blinded comparison. Eur J Surg Oncol 2018;44(12):1901–1907. https://doi.org/10.1016/j.ejso.2018.08.026.PubMedCrossRef

132.

Jeremiasse B, van den Bosch CH, Wijnen MWHA, Terwisscha van Scheltinga CEJ, Fiocco MF, van der Steeg AFW. Systematic review and meta-analysis concerning near-infrared imaging with fluorescent agents to identify the sentinel lymph node in oncology patients. Eur J Surg Oncol 2020;46(11):2011–2022. https://doi.org/10.1016/j.ejso.2020.07.012.PubMedCrossRef

133.

Lee JYK, Cho SS, Stummer W, Tanyi JL, Vahrmeijer AL, Rosenthal E, Smith B, Henderson E, Roberts DW, Lee A, Hadjipanayis CG, Bruce JN, Newman JG, Singhal S. Review of clinical trials in intraoperative molecular imaging during cancer surgery. J Biomed Opt 2019;24(12): 1–8. https://doi.org/10.1117/1.JBO.24.12.120901.PubMedCrossRef

134.

Lee G-W, Park J-Y, Kim D-Y, Suh D-S, Kim J-H, Kim Y-M, Kim Y-T, Nam J-H. Usefulness of sentinel lymph node mapping using indocyanine green and fluorescent imaging in the diagnosis of lymph node metastasis in endometrial cancer. J Obstet Gynaecol:1–7. 2020. https://doi.org/10.1080/01443615.2020.1787965.

135.

Mehdorn A-S, Beckmann JH, Braun F, Becker T, Egberts J-H. Usability of Indocyanine Green in Robot-Assisted Hepatic Surgery. J Clin Med. 2021;10(3). https://doi.org/10.3390/jcm10030456.

136.

Ko YJ, Kim WJ, Kim K, Kwon IC. Advances in the strategies for designing receptor-targeted molecular imaging probes for cancer research. J Control Release 2019;305:1–17. https://doi.org/10.1016/j.jconrel.2019.04.030.PubMedCrossRef

137.

Stoffels I, Dissemond J, Pöppel T, Schadendorf D, Klode J. Intraoperative Fluorescence Imaging for Sentinel Lymph Node Detection: Prospective Clinical Trial to Compare the Usefulness of Indocyanine Green vs Technetium Tc 99m for Identification of Sentinel Lymph Nodes. JAMA Surg 2015;150(7): 617–623. https://doi.org/10.1001/jamasurg.2014.3502.PubMedCrossRef

138.

van Beurden F, van Willigen DM, Vojnovic B, van Oosterom MN, Brouwer OR, der Poel HG, Kobayashi H, van Leeuwen FWB, Buckle T. Multi-Wavelength Fluorescence in Image-Guided Surgery, Clinical Feasibility and Future Perspectives. Mol Imaging 2020;19:1536012120962333. https://doi.org/10.1177/1536012120962333.PubMedPubMedCentral

139.

Meershoek P, KleinJan GH, Oosterom M N v, Wit EMK, Willigen D M v, Bauwens KP, Gennep E J v, Mottrie AM, Poel H G vd, Leeuwen F W B v. Multispectral-Fluorescence Imaging as a Tool to Separate Healthy from Disease-Related Lymphatic Anatomy During Robot-Assisted Laparoscopy. J Nucl Med 2018;59(11):1757–1760. https://doi.org/10.2967/jnumed.118.211888.PubMedCrossRef

140.

van Willigen DM, van den Berg NS, Buckle T, KleinJan GH, Hardwick JC, van der Poel HG, van Leeuwen FWB. Multispectral fluorescence guided surgery; a feasibility study in a phantom using a clinical-grade laparoscopic camera system. Am J Nucl Med Mol Imaging 2017;7(3):138– 147.PubMedPubMedCentral

141.

Francaviglia N, Iacopino DG, Costantino G, Villa A, Impallaria P, Meli F, Maugeri R. Fluorescein for resection of high-grade gliomas: A safety study control in a single center and review of the literature. Surg Neurol Int. 2017;8. https://doi.org/10.4103/sni.sni_89_17.

142.

Ladurner R, Lerchenberger M, Al Arabi N, Gallwas JKS, Stepp H, Hallfeldt KKJ. Parathyroid AutofluorescenceHow Does It Affect Parathyroid and Thyroid Surgery? A 5 Year Experience. Molecules 2019;24(14):2560. https://doi.org/10.3390/molecules24142560.PubMedCentralCrossRef

143.

Kriegmair MC, Rother J, Grychtol B, Theuring M, Ritter M, Günes C, Michel MS, Deliolanis NC, Bolenz C. Multiparametric Cystoscopy for Detection of Bladder Cancer Using Real-time Multispectral Imaging. Eur Urol 2020;77(2):251–259. https://doi.org/10.1016/j.eururo.2019.08.024.PubMedCrossRef

144.

Kaibori M, Matsui K, Ishizaki M, Iida H, Okumura T, Sakaguchi T, Inoue K, Ikeura T, Asano H, Kon M. Intraoperative Detection of Superficial Liver Tumors by Fluorescence Imaging Using Indocyanine Green and 5-aminolevulinic Acid. Anticancer Res 2016;36(4):1841–1849. https://ar.iiarjournals.org/content/36/4/1841.PubMed

145.

Laios A, Volpi D, Tullis IDC, Woodward M, Kennedy S, Pathiraja PNJ, Haldar K, Vojnovic B, Ahmed AA. A prospective pilot study of detection of sentinel lymph nodes in gynaecological cancers using a novel near infrared fluorescence imaging system. BMC Res Notes 2015;8 (1):608. https://doi.org/10.1186/s13104-015-1576-z.PubMedPubMedCentralCrossRef

146.

Meershoek P, KleinJan GH, van Willigen DM, Bauwens KP, Spa SJ, van Beurden F, van Gennep EJ, Mottrie AM, van der Poel HG, Buckle T, van Leeuwen FWB, van Oosterom MN. Multi-wavelength fluorescence imaging with a da Vinci Fireflya technical look behind the scenes. J Robotic Surg. 2020. https://doi.org/10.1007/s11701-020-01170-8.

147.

Hu Z, Fang C, Li B, Zhang Z, Cao C, Cai M, Su S, Sun X, Shi X, Li C, Zhou T, Zhang Y, Chi C, He P, Xia X, Chen Y, Gambhir SS, Cheng Z, Tian J. First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows. Nat Biomed Eng 2020;4(3):259–271. https://doi.org/10.1038/s41551-019-0494-0.PubMedCrossRef

148.

Vargas SH, Ghosh SC, Azhdarinia A. New Developments in Dual-Labeled Molecular Imaging Agents. J Nucl Med 2019;60(4):459–465. https://doi.org/10.2967/jnumed.118.213488.CrossRef

149.

van der Poel HG, Buckle T, Brouwer OR, Valdés Olmos R A, van Leeuwen FWB. Intraoperative Laparoscopic Fluorescence Guidance to the Sentinel Lymph Node in Prostate Cancer Patients: Clinical Proof of Concept of an Integrated Functional Imaging Approach Using a Multimodal Tracer. Eur Urol 2011;60 (4):826–833. https://doi.org/10.1016/j.eururo.2011.03.024.PubMedCrossRef

150.

KleinJan GH, van Werkhoven E, van den Berg NS, Karakullukcu MB, Zijlmans HJMAA, van der Hage JA, van de Wiel BA, Buckle T, Klop WMC, Horenblas S, Valdés Olmos R A, van der Poel HG, van Leeuwen FWB. The best of both worlds: a hybrid approach for optimal pre- and intraoperative identification of sentinel lymph nodes. Eur J Nucl Med Mol Imaging 2018;45(11): 1915–1925. https://doi.org/10.1007/s00259-018-4028-x.

151.

Dell’Oglio P, de Vries HM, Mazzone E, KleinJan GH, Donswijk ML, van der Poel HG, Horenblas S, van Leeuwen FWB, Brouwer OR. Hybrid Indocyanine Green99mTc-nanocolloid for Single-photon Emission Computed Tomography and Combined Radio- and Fluorescence-guided Sentinel Node Biopsy in Penile Cancer: Results of 740 Inguinal Basins Assessed at a Single Institution. Eur Urol 2020;78(6): 865–872. https://doi.org/10.1016/j.eururo.2020.09.007.PubMedCrossRef

152.

Christensen A, Juhl K, Charabi B, Mortensen J, Kiss K, Kær A, von Buchwald C. Feasibility of Real-Time Near-Infrared Fluorescence Tracer Imaging in Sentinel Node Biopsy for Oral Cavity Cancer Patients. Ann Surg Oncol 2016;23(2):565–572. https://doi.org/10.1245/s10434-015-4883-7.PubMedCrossRef

153.

Paredes P, Vidal-Sicart S, Campos F, Tapias A, SÁnchez N, Martínez S, Carballo L, Pahisa J, Torné A, Ordi J, Carmona F, Lomea F. Role of ICG-99mTc-nanocolloid for sentinel lymph node detection in cervical cancer: a pilot study. Eur J Nucl Med Mol Imaging 2017;44(11):1853–1861. https://doi.org/10.1007/s00259-017-3706-4.PubMedCrossRef

154.

Schaafsma BE, Verbeek FPR, Rietbergen DDD, van der Hiel B, van der Vorst JR, Liefers G-J, Frangioni JV, van de Velde CJH, van Leeuwen FWB, Vahrmeijer AL. Clinical trial of combined radio- and fluorescence-guided sentinel lymph node biopsy in breast cancer. Br J Surg 2013;100(8):1037–1044. https://doi.org/10.1002/bjs.9159.

155.

Stoffels I, Leyh J, Pöppel T, Schadendorf D, Klode J. Evaluation of a radioactive and fluorescent hybrid tracer for sentinel lymph node biopsy in head and neck malignancies: prospective randomized clinical trial to compare ICG-(99m)Tc-nanocolloid hybrid tracer versus (99m)Tc-nanocolloid. Eur J Nucl Med Mol Imaging 2015;42(11):1631–1638. https://doi.org/10.1007/s00259-015-3093-7.PubMedCrossRef

156.

Santini C, Kuil J, Bunschoten A, Pool S, Blois E, Ridwan Y, Essers J, Bernsen MR, Leeuwen F W B v, Jong M d. Evaluation of a Fluorescent and Radiolabeled Hybrid Somatostatin Analog In Vitro and in Mice Bearing H69 Neuroendocrine Xenografts. J Nucl Med 2016;57(8):1289–1295. https://doi.org/10.2967/jnumed.115.164970.PubMedCrossRef

157.

Schottelius M, Wurzer A, Wissmiller K, Beck R, Koch M, Gorpas D, Notni J, Buckle T, Oosterom MN, Steiger K, Ntziachristos V, Schwaiger M, Leeuwen F W B v, Wester H-J. Synthesis and Preclinical Characterization of the PSMA-Targeted Hybrid Tracer PSMA-I&F for Nuclear and Fluorescence Imaging of Prostate Cancer. J Nucl Med 2019;60(1):71–78. https://doi.org/10.2967/jnumed.118.212720.PubMedPubMedCentralCrossRef

158.

Johnson L, Pinder SE, Douek M. Deposition of superparamagnetic iron-oxide nanoparticles in axillary sentinel lymph nodes following subcutaneous injection. Histopathology 2013;62(3):481–486. https://doi.org/10.1111/his.12019.PubMedCrossRef

159.

Thompson W, ArgÁez C. Magnetic Localization System for Sentinel Lymph Node Biopsy: A Review of the Diagnostic Accuracy, Cost-Effectiveness, and Guidelines, CADTH Rapid Response Reports. Ottawa: Canadian Agency for Drugs and Technologies in Health; 2020. http://www.ncbi.nlm.nih.gov/books/NBK562944/.

160.

Jedryka MA, Klimczak P, Kryszpin M, Matkowski R. Superparamagnetic iron oxide: a novel tracer for sentinel lymph node detection in vulvar cancer. Int J Gynecol Cancer 2020;30(9):1280–1284. https://doi.org/10.1136/ijgc-2020-001458.PubMedCrossRef

161.

Winter A, Kowald T, Paulo TS, Goos P, Engels S, Gerullis H, Schiffmann J, Chavan A, Wawroschek F. Magnetic resonance sentinel lymph node imaging and magnetometer-guided intraoperative detection in prostate cancer using superparamagnetic iron oxide nanoparticles. Int J Nanomedicine 2018;13:6689–6698. https://doi.org/10.2147/IJN.S173182.PubMedPubMedCentralCrossRef

162.

Winter A, Kowald T, Engels S, Wawroschek F. Magnetic Resonance Sentinel Lymph Node Imaging and Magnetometer-Guided Intraoperative Detection in Penile Cancer, using Superparamagnetic Iron Oxide Nanoparticles: First Results. Urol Int 2020;104(3-4):177–180. https://doi.org/10.1159/000502017.PubMedCrossRef

163.

Pi nro-Madrona A, NicolÁs-Ruiz F, Rull-Ortu no R, Vidal-Sicart S, Caba ns-Montero J, Rioja-Martín M E, Rodríguez-FernÁndez R, Gil-Olarte MA, GonzÁlez-García B, SÁnchez J H-G. Correlation between ferromagnetic and isotopic tracers for sentinel lymph node detection in cutaneous melanoma: IMINEM study. J Surg Oncol. 2020. https://doi.org/10.1002/jso.26303.

164.

Imai K, Kawaharada Y, Ogawa J-I, Saito H, Kudo S, Takashima S, Saito Y, Atari M, Ito A, Terata K, Yoshino K, Sato Y, Motoyama S, Minamiya Y. Development of a New Magnetometer for Sentinel Lymph Node Mapping Designed for Video-Assisted Thoracic Surgery in Non-Small Cell Lung Cancer. Surg Innov 2015;22(4):401–405. https://doi.org/10.1177/1553350615585421.PubMedCrossRef

165.

Forte S, Kubik-Huch RA, Leo C. Improvement in breast magnetic resonance imaging after a sentinel procedure for breast cancer with superparamagnetic tracers. Eur J Radiol Open 2019;6:215–219. https://doi.org/10.1016/j.ejro.2019.05.006.PubMedPubMedCentralCrossRef

166.

Frantellizzi V, Conte M, Pontico M, Pani A, Pani R, De Vincentis G. New Frontiers in Molecular Imaging with Superparamagnetic Iron Oxide Nanoparticles (SPIONs): Efficacy, Toxicity, and Future Applications. Nucl Med Mol Imaging 2020;54(2):65–80. https://doi.org/10.1007/s13139-020-00635-w.PubMedPubMedCentralCrossRef

167.

Manohar S, Vaartjes SE, van Hespen JCG, Klaase JM, van den Engh FM, Steenbergen W, van Leeuwen TG. Initial results of in vivo non-invasive cancer imaging in the human breast using near-infrared photoacoustics. Opt Express 2007;15(19):12277–12285. https://doi.org/10.1364/oe.15.012277.PubMedCrossRef

168.

Ermilov SA, Khamapirad T, Conjusteau A, Leonard MH, Lacewell R, Mehta K, Miller T, Oraevsky AA. Laser optoacoustic imaging system for detection of breast cancer. J Biomed Opt 2009;14(2):024007. https://doi.org/10.1117/1.3086616.PubMedCrossRef

169.

Razansky D, Harlaar NJ, Hillebrands JL, Taruttis A, Herzog E, Zeebregts CJ, van Dam GM, Ntziachristos V. Multispectral optoacoustic tomography of matrix metalloproteinase activity in vulnerable human carotid plaques. Mol Imaging Biol 2012;14(3):277–285. https://doi.org/10.1007/s11307-011-0502-6.PubMedCrossRef

170.

Stoffels I, Jansen P, Petri M, Goerdt L, Brinker TJ, Griewank KG, Poeppel TD, Schadendorf D, Klode J. Assessment of Nonradioactive Multispectral Optoacoustic Tomographic Imaging With Conventional Lymphoscintigraphic Imaging for Sentinel Lymph Node Biopsy in Melanoma. JAMA Netw Open 2019; 2(8):e199020. https://doi.org/10.1001/jamanetworkopen.2019.9020.PubMedPubMedCentralCrossRef

171.

Diot G, Metz S, Noske A, Liapis E, Schroeder B, Ovsepian SV, Meier R, Rummeny E, Ntziachristos V. Multispectral Optoacoustic Tomography (MSOT) of Human Breast Cancer. Clin Cancer Res 2017;23(22):6912–6922. https://doi.org/10.1158/1078-0432.CCR-16-3200.PubMedCrossRef

172.

Attia ABE, Chuah SY, Razansky D, Ho CJH, Malempati P, Dinish US, Bi R, Fu CY, Ford SJ, Lee J S-S, Tan MWP, Olivo M, Thng STG. Noninvasive real-time characterization of non-melanoma skin cancers with handheld optoacoustic probes. Photoacoustics 2017; 7:20–26. https://doi.org/10.1016/j.pacs.2017.05.003.PubMedPubMedCentralCrossRef

173.

Nitkunanantharajah S, Haedicke K, Moore TB, Manning JB, Dinsdale G, Berks M, Taylor C, Dickinson MR, Jüstel D, Ntziachristos V, Herrick AL, Murray AK. Three-dimensional optoacoustic imaging of nailfold capillaries in systemic sclerosis and its potential for disease differentiation using deep learning. Sci Rep 2020;10(1):16444. https://doi.org/10.1038/s41598-020-73319-2.PubMedPubMedCentralCrossRef

174.

Chlis N-K, Karlas A, Fasoula N-A, Kallmayer M, Eckstein H-H, Theis FJ, Ntziachristos V, Marr C. A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography. Photoacoustics 2020;20:100203. https://doi.org/10.1016/j.pacs.2020.100203.PubMedPubMedCentralCrossRef

175.

Haka AS, Volynskaya Z, Gardecki JA, Nazemi J, Lyons J, Hicks D, Fitzmaurice M, Dasari RR, Crowe JP, Feld MS. In vivo margin assessment during partial mastectomy breast surgery using raman spectroscopy. Cancer Res 2006;66(6):3317–3322. https://doi.org/10.1158/0008-5472.CAN-05-2815.PubMedCrossRef

176.

Palermo A, Fosca M, Tabacco G, Marini F, Graziani V, Santarsia MC, Longo F, Lauria A, Cesareo R, Giovannoni I, Taffon C, Rocchia M, Manfrini S, Crucitti P, Pozzilli P, Crescenzi A, Rau JV. Raman Spectroscopy Applied to Parathyroid Tissues: A New Diagnostic Tool to Discriminate Normal Tissue from Adenoma. Anal Chem 2018;90(1):847–854. https://doi.org/10.1021/acs.analchem.7b03617.PubMedCrossRef

177.

Horsnell J, Stonelake P, Christie-Brown J, Shetty G, Hutchings J, Kendall C, Stone N. Raman spectroscopy–a new method for the intra-operative assessment of axillary lymph nodes. Analyst 2010; 135(12):3042–3047. https://doi.org/10.1039/c0an00527d.PubMedCrossRef

178.

Barroso EM, Smits RWH, Bakker Schut TC, ten Hove I, Hardillo JA, Wolvius EB, Baatenburg de Jong RJ, Koljenovi S, Puppels GJ. Discrimination between oral cancer and healthy tissue based on water content determined by Raman spectroscopy. Anal Chem 2015;87(4):2419–2426. https://doi.org/10.1021/ac504362y.PubMedCrossRef

179.

Barroso EM, Ten Hove I, Bakker Schut TC, Mast H, van Lanschot CGF, Smits RWH, Caspers PJ, Verdijk R, Noordhoek Hegt V, Baatenburg de Jong RJ, Wolvius EB, Puppels GJ, Koljenovi S. Raman spectroscopy for assessment of bone resection margins in mandibulectomy for oral cavity squamous cell carcinoma. Eur J Cancer 2018;92:77–87. https://doi.org/10.1016/j.ejca.2018.01.068.PubMedCrossRef

180.

Jermyn M, Mok K, Mercier J, Desroches J, Pichette J, Saint-Arnaud K, Bernstein L, Guiot M-C, Petrecca K, Leblond F. Intraoperative brain cancer detection with Raman spectroscopy in humans. Sci Transl Med 2015;7(274):274ra19. https://doi.org/10.1126/scitranslmed.aaa2384.PubMedCrossRef

181.

Desroches J, Jermyn M, Mok K, Lemieux-Leduc C, Mercier J, St-Arnaud K, Urmey K, Guiot M-C, Marple E, Petrecca K, Leblond F. Characterization of a Raman spectroscopy probe system for intraoperative brain tissue classification. Biomed Opt Express 2015;6(7):2380–2397. https://doi.org/10.1364/BOE.6.002380.PubMedPubMedCentralCrossRef

182.

Rau JV, Fosca M, Graziani V, Taffon C, Rocchia M, Caricato M, Pozzilli P, Onetti Muda A, Crescenzi A. Proof-of-concept Raman spectroscopy study aimed to differentiate thyroid follicular patterned lesions. Sci Rep 2017;7(1):14970. https://doi.org/10.1038/s41598-017-14872-1.PubMedPubMedCentralCrossRef

183.

Jermyn M, Desroches J, Mercier J, Tremblay M-A, St-Arnaud K, Guiot M-C, Petrecca K, Leblond F. Neural networks improve brain cancer detection with Raman spectroscopy in the presence of operating room light artifacts. J Biomed Opt 2016;21(9):94002. https://doi.org/10.1117/1.JBO.21.9.094002.PubMedCrossRef

184.

Yu M, Yan H, Xia J, Zhu L, Zhang T, Zhu Z, Lou X, Sun G, Dong M. Deep convolutional neural networks for tongue squamous cell carcinoma classification using Raman spectroscopy. Photodiagnosis Photodyn Ther 2019;26:430–435. https://doi.org/10.1016/j.pdpdt.2019.05.008.PubMedCrossRef

185.

Hollon TC, Pandian B, Urias E, Save AV, Adapa AR, Srinivasan S, Jairath NK, Farooq Z, Marie T, Al-Holou WN, Eddy K, Heth JA, Khalsa SSS, Conway K, Sagher O, Bruce JN, Canoll P, Freudiger CW, Camelo-Piragua S, Lee H, Orringer DA. Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks. Neuro Oncol. 2020. https://doi.org/10.1093/neuonc/noaa162.

186.

Livermore LJ, Isabelle M, Bell IM, Edgar O, Voets NL, Stacey R, Ansorge O, Vallance C, Plaha P. Raman spectroscopy to differentiate between fresh tissue samples of glioma and normal brain: a comparison with 5-ALA-induced fluorescence-guided surgery. J Neurosurg:1–11. 2020. https://doi.org/10.3171/2020.5.JNS20376.

187.

Pouw B, de Wit-van der Veen LJ, van der Hage JA, Vrancken Peeters M-J T F D, Wesseling J, Stokkel MPM, Valdés Olmos R A. Radio-guided seed localization for breast cancer excision: an ex-vivo specimen-based study to establish the accuracy of a freehand-SPECT device in predicting resection margins. Nucl Med Commun 2014;35(9):961–966. https://doi.org/10.1097/MNM.0000000000000159.PubMedCrossRef

188.

Bluemel C, Cramer A, Grossmann C, Kajdi GW, Malzahn U, Lamp N, Langen H-J, Schmid J, Buck AK, Grimminger H-J, Herrmann K. iROLL: does 3-D radioguided occult lesion localization improve surgical management in early-stage breast cancer? Eur. J. Nucl. Med. Mol. Imaging. 2015. https://doi.org/10.1007/s00259-015-3121-7.

189.

van Oosterom MN, Meershoek P, Welling MM, Pinto F, Matthies P, Simon H, Wendler T, Navab N, van de Velde CJH, van der Poel HG, van Leeuwen FWB. Extending the Hybrid Surgical Guidance Concept With Freehand Fluorescence Tomography. IEEE Trans Med Imaging 2020; 39(1):226–235. https://doi.org/10.1109/TMI.2019.2924254.

190.

Ankersmit M, Hoekstra OS, van Lingen A, Bloemena E, Jacobs MJM, Vugts DJ, Bonjer HJ, van Dongen GMS, Meijerink WJHJ. Perioperative PET/CT lymphoscintigraphy and fluorescent real-time imaging for sentinel lymph node mapping in early staged colon cancer. Eur J Nucl Med Mol Imaging 2019;46(7):1495–1505. https://doi.org/10.1007/s00259-019-04284-w.PubMedPubMedCentralCrossRef

191.

Povoski SP, Hall NC, Murrey DA, Chow AZ, Gaglani JR, Bahnson EE, Mojzisik CM, Kuhrt MP, Hitchcock CL, Knopp MV, Martin EW. Multimodal imaging and detection approach to 18F-FDG-directed surgery for patients with known or suspected malignancies: a comprehensive description of the specific methodology utilized in a single-institution cumulative retrospective experience. World J Surg Oncol 2011;9:152. https://doi.org/10.1186/1477-7819-9-152.PubMedPubMedCentralCrossRef

192.

Alsadoun N, Devouassoux-Shisheboran M. Pathological process for sentinel lymph node. Bull Cancer 2020;107(6):642–652 (fre). https://doi.org/10.1016/j.bulcan.2019.11.003.PubMedCrossRef

193.

Kwon S-Y, Miller SJ. Mohs surgery for melanoma in situ. Dermatol Clin 2011;29(2):175–183, vii–viii. https://doi.org/10.1016/j.det.2011.01.001.PubMedCrossRef

194.

St John ER, Al-Khudairi R, Ashrafian H, Athanasiou T, Takats Z, Hadjiminas DJ, Darzi A, Leff DR. Diagnostic Accuracy of Intraoperative Techniques for Margin Assessment in Breast Cancer Surgery: A Meta-analysis. Ann Surg 2017;265(2):300–310. https://doi.org/10.1097/SLA.0000000000001897.PubMedCrossRef

195.

Mannelli G, Comini LV, Piazza C. Surgical margins in oral squamous cell cancer: intraoperative evaluation and prognostic impact. Curr Opin Otolaryngol Head Neck Surg 2019; 27 (2): 98–103. https://doi.org/10.1097/MOO.0000000000000516.PubMedCrossRef

196.

Sighinolfi MC, Eissa A, Spandri V, Puliatti S, Micali S, Reggiani Bonetti L, Bertoni L, Bianchi G, Rocco B. Positive surgical margin during radical prostatectomy: overview of sampling methods for frozen sections and techniques for the secondary resection of the neurovascular bundles. BJU Int 2020; 125(5):656–663. https://doi.org/10.1111/bju.15024.PubMedCrossRef

197.

Dinneen E, Haider A, Grierson J, Freeman A, Oxley J, Briggs T, Nathan S, Williams NR, Brew-Graves C, Persad R, Aning J, Jamieson C, Ratynska M, Ben-Salha I, Ball R, Clow R, Allen C, Heffernan-Ho D, Kelly J, Shaw G. NeuroSAFE frozen section during robot-assisted radical prostatectomy (RARP): Peri-operative and Histopathological Outcomes from the NeuroSAFE PROOF Feasibility Randomised Controlled Trial. BJU Int. 2020. https://doi.org/10.1111/bju.15256.

198.

Kim Y-G, Kim S, Cho CE, Song IH, Lee HJ, Ahn S, Park SY, Gong G, Kim N. Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections. Sci Rep 2020;10(1):21899. https://doi.org/10.1038/s41598-020-78129-0.PubMedPubMedCentralCrossRef

199.

Marsh JN, Matlock MK, Kudose S, Liu T-C, Stappenbeck TS, Gaut JP, Swamidass SJ. Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections. IEEE Trans Med Imaging 2018;37(12):2718–2728. https://doi.org/10.1109/TMI.2018.2851150.PubMedPubMedCentralCrossRef

200.

Shi F, Liang Z, Zhang Q, Wang C, Liu X. The performance of one-step nucleic acid amplification assay for intraoperative detection of sentinel lymph node macrometastasis in breast cancer: An updated meta-analysis. Breast 2018;39:39–45. https://doi.org/10.1016/j.breast.2018.03.005.PubMedCrossRef

201.

Zhou M, Wang X, Jiang L, Chen X, Bao X, Chen X. The diagnostic value of one step nucleic acid amplification (OSNA) in differentiating lymph node metastasis of tumors: A systematic review and meta-analysis. Int J Surg 2018;56:49–56. https://doi.org/10.1016/j.ijsu.2018.05.010.PubMedCrossRef

202.

Rauscher I, Horn T, Eiber M, Gschwend JE, Maurer T. Novel technology of molecular radio-guidance for lymph node dissection in recurrent prostate cancer by PSMA-ligands. World J Urol 2018;36(4):603–608. https://doi.org/10.1007/s00345-018-2200-3.PubMedCrossRef

203.

Metser U, McVey R, Ferguson SE, Halankar J, Bernardini MQ. Intraoperative lymph node evaluation using 18F-FDG and a hand-held gamma probe in endometrial cancer surgery–a pilot study. Eur J Gynaecol Oncol 2016;37(3):362– 366.PubMed

204.

Gola S, Doyle-Lindrud S. The MarginProbeⓇ System: An Innovative Approach to Reduce the Incidence of Positive Margins Found After Lumpectomy. Clin J Oncol Nurs 2016;20(6):598–599. https://doi.org/10.1188/16.CJON.598-599.PubMedCrossRef

205.

Fanjul-Vélez F, Pampín-SuÁrez S, Arce-Diego JL. Application of Classification Algorithms to Diffuse Reflectance Spectroscopy Measurements for Ex Vivo Characterization of Biological Tissues. Entropy (Basel). 2020;22(7). https://doi.org/10.3390/e22070736.

206.

Paredes P, Vidal-Sicart S, Zanón G, Roé N, Rubí S, Lafuente S, Pavía J, Pons F. Radioguided occult lesion localisation in breast cancer using an intraoperative portable gamma camera: first results. Eur J Nucl Med Mol Imaging 2008;35(2):230–235. https://doi.org/10.1007/s00259-007-0640-x.PubMedCrossRef

207.

Vidal-Sicart S, Rioja ME, Paredes P, Keshtgar MR, Valdés Olmos R A. Contribution of perioperative imaging to radioguided surgery. Q J Nucl Med Mol Imaging 2014;58(2):140–160.PubMed

208.

Ciarrocchi E, Belcari N. Cerenkov luminescence imaging: physics principles and potential applications in biomedical sciences. EJNMMI Phys 2017;4(1):14. https://doi.org/10.1186/s40658-017-0181-8.PubMedPubMedCentralCrossRef

209.

Das S, Thorek DLJ, Grimm J. Cerenkov imaging. Adv Cancer Res 2014;124:213–234. https://doi.org/10.1016/B978-0-12-411638-2.00006-9.PubMedPubMedCentralCrossRef

210.

Spinelli AE, Boschi F. Novel biomedical applications of Cerenkov radiation and radioluminescence imaging. Phys Med 2015;31(2):120–129. https://doi.org/10.1016/j.ejmp.2014.12.003.PubMedCrossRef

211.

Glaser AK, Zhang R, Andreozzi JM, Gladstone DJ, Pogue BW. Cherenkov radiation fluence estimates in tissue for molecular imaging and therapy applications. Phys Med Biol 2015;60(17):6701–6718. https://doi.org/10.1088/0031-9155/60/17/6701.PubMedPubMedCentralCrossRef

212.

Thorek DL, Robertson R, Bacchus WA, Hahn J, Rothberg J, Beattie BJ, Grimm J. Cerenkov imaging - a new modality for molecular imaging. Am J Nucl Med Mol Imaging 2012;2(2): 163–173.PubMedPubMedCentral

213.

Darr C, Harke NN, Radtke JP, Yirga L, Kesch C, Grootendorst MR, Fendler WP, Costa PF, Rischpler C, Praus C, Haubold J, Reis H, Hager T, Herrmann K, Binse I, Hadaschik B. Intraoperative 68Ga-PSMA Cerenkov Luminescence Imaging for Surgical Margins in Radical Prostatectomy: A Feasibility Study. J Nucl Med 2020;61(10):1500–1506. https://doi.org/10.2967/jnumed.119.240424.PubMedPubMedCentralCrossRef

214.

Olde Heuvel J, de Wit-van der Veen BJ, van der Poel HG, Bekers EM, Grootendorst MR, Vyas KN, Slump CH, Stokkel MPM. 68Ga-PSMA Cerenkov luminescence imaging in primary prostate cancer: first-in-man series. Eur J Nucl Med Mol Imaging 2020;47(11):2624–2632. https://doi.org/10.1007/s00259-020-04783-1.PubMedPubMedCentralCrossRef

215.

Chin PTK, Welling MM, Meskers SCJ, Valdes Olmos RA, Tanke H, van Leeuwen FWB. Optical imaging as an expansion of nuclear medicine: Cerenkov-based luminescence vs fluorescence-based luminescence. Eur J Nucl Med Mol Imaging 2013;40(8):1283–1291. https://doi.org/10.1007/s00259-013-2408-9.PubMedCrossRef

216.

Yu X, Hu C, Zhang W, Zhou J, Ding Q, Sadiq MT, Fan Z, Yuan Z, Liu L. Feasibility evaluation of micro-optical coherence tomography (μ OCT) for rapid brain tumor type and grade discriminations: μ OCT images versus pathology. BMC Med Imaging 2019;19(1):102. https://doi.org/10.1186/s12880-019-0405-6.PubMedPubMedCentralCrossRef

217.

Valdés Olmos R A, Vidal-Sicart S, Giammarile F, Zaknun JJ, Van Leeuwen FW, Mariani G. The GOSTT concept and hybrid mixed/virtual/augmented reality environment radioguided surgery. Q J Nucl Med Mol Imaging 2014;58(2):207–215.PubMed

218.

Wester H-J, Schottelius M. PSMA-Targeted Radiopharmaceuticals for Imaging and Therapy. Semin Nucl Med 2019;49(4):302–312. https://doi.org/10.1053/j.semnuclmed.2019.02.008.PubMedCrossRef

219.

Lei Y, Fu Y, Wang T, Qiu RLJ, Curran WJ, Liu T, Yang X. Deep Learning in Multi-organ Segmentation. 2020. arXiv:2001.10619.

220.

Alam IS, Steinberg I, Vermesh O, van den Berg NS, Rosenthal EL, van Dam GM, Ntziachristos V, Gambhir SS, Hernot S, Rogalla S. Emerging Intraoperative Imaging Modalities to Improve Surgical Precision. Mol Imaging Biol 2018;20(5):705–715. https://doi.org/10.1007/s11307-018-1227-6.PubMedCrossRef

221.

Herrmann K, Nieweg O E, Povoski S P (eds.) Radioguided Surgery: Current Applications and Innovative Directions in Clinical Practice; 2016. Springer International Publishing.

222.

Azargoshasb S, van Alphen S, Slof LJ, Rosiello G, Puliatti S, van Leeuwen SI, Houwing KM, Boonekamp M, Verhart J, Dell’Oglio P, van der Hage J, van Oosterom MN, van Leeuwen FWB. The click-on gamma probe, a second-generation tethered robotic gamma probe that improves dexterity and surgical decision-making. Eur J Nucl Med Molec Imaging. 2021. (in press).

223.

Leal Ghezzi T, Campos Corleta O. 30 Years of Robotic Surgery. World J Surg 2016;40(10): 2550–2557. https://doi.org/10.1007/s00268-016-3543-9.PubMedCrossRef

224.

Jiang B, Azad TD, Cottrill E, Zygourakis CC, Zhu AM, Crawford N, Theodore N. New spinal robotic technologies. Front Med 2019;13(6):723–729. https://doi.org/10.1007/s11684-019-0716-6.PubMedCrossRef

225.

Smith JA, Jivraj J, Wong R, Yang V. 30 Years of Neurosurgical Robots: Review and Trends for Manipulators and Associated Navigational Systems. Ann Biomed Eng 2016;44(4):836–846. https://doi.org/10.1007/s10439-015-1475-4.PubMedCrossRef

226.

Esteban J, Simson W, Requena Witzig S, Rienmüller A, Virga S, Frisch B, Zettinig O, Sakara D, Ryang Y-M, Navab N, Hennersperger C. Robotic ultrasound-guided facet joint insertion. Int J Comput Assist Radiol Surg 2018;13(6):895–904. https://doi.org/10.1007/s11548-018-1759-x.PubMedCrossRef

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Keynote webinar | Spotlight on medication adherence

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