Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
Langenbeck's Archives of Surgery
Published in: Langenbeck's Archives of Surgery 3/2015

01-04-2015 | Review Article

Computer-assisted abdominal surgery: new technologies

Authors: H. G. Kenngott, M. Wagner, F. Nickel, A. L. Wekerle, A. Preukschas, M. Apitz, T. Schulte, R. Rempel, P. Mietkowski, F. Wagner, A. Termer, Beat P. Müller-Stich

Published in: Langenbeck's Archives of Surgery | Issue 3/2015

Login to get access

Abstract

Background

Computer-assisted surgery is a wide field of technologies with the potential to enable the surgeon to improve efficiency and efficacy of diagnosis, treatment, and clinical management.

Purpose

This review provides an overview of the most important new technologies and their applications.

Methods

A MEDLINE database search was performed revealing a total of 1702 references. All references were considered for information on six main topics, namely image guidance and navigation, robot-assisted surgery, human-machine interface, surgical processes and clinical pathways, computer-assisted surgical training, and clinical decision support. Further references were obtained through cross-referencing the bibliography cited in each work. Based on their respective field of expertise, the authors chose 64 publications relevant for the purpose of this review.

Conclusion

Computer-assisted systems are increasingly used not only in experimental studies but also in clinical studies. Although computer-assisted abdominal surgery is still in its infancy, the number of studies is constantly increasing, and clinical studies start showing the benefits of computers used not only as tools of documentation and accounting but also for directly assisting surgeons during diagnosis and treatment of patients. Further developments in the field of clinical decision support even have the potential of causing a paradigm shift in how patients are diagnosed and treated.
Literature
1.
2.
3.
4.
Ieiri S, Uemura M, Konishi K, Souzaki R, Nagao Y, Tsutsumi N, Akahoshi T, Ohuchida K, Ohdaira T, Tomikawa M, Tanoue K, Hashizume M, Taguchi T (2012) Augmented reality navigation system for laparoscopic splenectomy in children based on preoperative CT image using optical tracking device. Pediatr Surg Int 28(4):341–346. doi:10.​1007/​s00383-011-3034-x PubMedCrossRef
5.
Onda S, Okamoto T, Kanehira M, Suzuki F, Ito R, Fujioka S, Suzuki N, Hattori A, Yanaga K (2014) Identification of inferior pancreaticoduodenal artery during pancreaticoduodenectomy using augmented reality-based navigation system. J Hepato-Biliary-Pancreat Sci 21(4):281–287. doi:10.​1002/​jhbp.​25 CrossRef
6.
Kenngott HG, Neuhaus J, Muller-Stich BP, Wolf I, Vetter M, Meinzer HP, Koninger J, Buchler MW, Gutt CN (2008) Development of a navigation system for minimally invasive esophagectomy. Surg Endosc 22(8):1858–1865. doi:10.​1007/​s00464-007-9723-9 PubMedCrossRef
7.
Okamoto T, Onda S, Matsumoto M, Gocho T, Futagawa Y, Fujioka S, Yanaga K, Suzuki N, Hattori A (2013) Utility of augmented reality system in hepatobiliary surgery. J Hepato-Biliary-Pancreat Sci 20(2):249–253. doi:10.​1007/​s00534-012-0504-z CrossRef
8.
9.
Peterhans M, vom Berg A, Dagon B, Inderbitzin D, Baur C, Candinas D, Weber S (2011) A navigation system for open liver surgery: design, workflow and first clinical applications. Int J Med Robot 7(1):7–16. doi:10.​1002/​rcs.​360 PubMedCrossRef
10.
11.
Nozaki T, Iida Y, Morii A, Fujiuchi Y, Fuse H (2012) Laparoscopic radical nephrectomy under near real-time three-dimensional surgical navigation with C-arm cone beam computed tomography. Surg Innov 19(3):263–267. doi:10.​1177/​1553350611429690​ PubMedCrossRef
12.
Kenngott HG, Wagner M, Gondan M, Nickel F, Nolden M, Fetzer A, Weitz J, Fischer L, Speidel S, Meinzer HP, Bockler D, Buchler MW, Muller-Stich BP (2014) Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging. Surg Endosc 28(3):933–940. doi:10.​1007/​s00464-013-3249-0 PubMedCrossRef
13.
Tsutsumi N, Tomikawa M, Uemura M, Akahoshi T, Nagao Y, Konishi K, Ieiri S, Hong J, Maehara Y, Hashizume M (2013) Image-guided laparoscopic surgery in an open MRI operating theater. Surg Endosc 27(6):2178–2184. doi:10.​1007/​s00464-012-2737-y PubMedCrossRef
14.
Lamade W, Vetter M, Hassenpflug P, Thorn M, Meinzer HP, Herfarth C (2002) Navigation and image-guided HBP surgery: a review and preview. J Hepato-Biliary-Pancreat Sci 9(5):592–599. doi:10.​1007/​s005340200079 CrossRef
15.
16.
Buchs NC, Volonte F, Pugin F, Toso C, Fusaglia M, Gavaghan K, Majno PE, Peterhans M, Weber S, Morel P (2013) Augmented environments for the targeting of hepatic lesions during image-guided robotic liver surgery. J Surg Res 184(2):825–831. doi:10.​1016/​j.​jss.​2013.​04.​032 PubMedCrossRef
17.
Kranzfelder M, Staub C, Fiolka A, Schneider A, Gillen S, Wilhelm D, Friess H, Knoll A, Feussner H (2013) Toward increased autonomy in the surgical OR: needs, requests, and expectations. Surg Endosc 27(5):1681–1688. doi:10.​1007/​s00464-012-2656-y PubMedCrossRef
18.
Pandya A, Reisner L, King B, Lucas N, Composto A, Klein M, Ellis R (2014) A review of camera viewpoint automation in robotic and laparoscopic surgery. Robotics 3(3):310–329. doi:10.​3390/​robotics3030310 CrossRef
19.
20.
Kenngott HG, Fischer L, Nickel F, Rom J, Rassweiler J, Muller-Stich BP (2012) Status of robotic assistance—a less traumatic and more accurate minimally invasive surgery? Langenbeck’s Arch Surg 397(3):333–341. doi:10.​1007/​s00423-011-0859-7 CrossRef
21.
Robertson C, Close A, Fraser C, Gurung T, Jia X, Sharma P, Vale L, Ramsay C, Pickard R (2013) Relative effectiveness of robot-assisted and standard laparoscopic prostatectomy as alternatives to open radical prostatectomy for treatment of localised prostate cancer: a systematic review and mixed treatment comparison meta-analysis. BJU Int 112(6):798–812. doi:10.​1111/​bju.​12247 PubMedCrossRef
22.
Moran PS, O’Neill M, Teljeur C, Flattery M, Murphy LA, Smyth G, Ryan M (2013) Robot-assisted radical prostatectomy compared with open and laparoscopic approaches: a systematic review and meta-analysis. Int J Urol Off J Jpn Urol Assoc 20(3):312–321. doi:10.​1111/​iju.​12070
23.
24.
25.
26.
27.
Muller-Stich BP, Reiter MA, Wente MN, Bintintan VV, Koninger J, Buchler MW, Gutt CN (2007) Robot-assisted versus conventional laparoscopic fundoplication: short-term outcome of a pilot randomized controlled trial. Surg Endosc 21(10):1800–1805. doi:10.​1007/​s00464-007-9268-y PubMedCrossRef
28.
Mi J, Kang Y, Chen X, Wang B, Wang Z (2010) Whether robot-assisted laparoscopic fundoplication is better for gastroesophageal reflux disease in adults: a systematic review and meta-analysis. Surg Endosc 24(8):1803–1814. doi:10.​1007/​s00464-009-0873-9 PubMedCrossRef
29.
Gumbs AA, Croner R, Rodriguez A, Zuker N, Perrakis A, Gayet B (2013) 200 consecutive laparoscopic pancreatic resections performed with a robotically controlled laparoscope holder. Surg Endosc 27(10):3781–3791. doi:10.​1007/​s00464-013-2969-5 PubMedCrossRef
30.
Gillen S, Pletzer B, Heiligensetzer A, Wolf P, Kleeff J, Feussner H, Furst A (2014) Solo-surgical laparoscopic cholecystectomy with a joystick-guided camera device: a case-control study. Surg Endosc 28(1):164–170. doi:10.​1007/​s00464-013-3142-x PubMedCrossRef
31.
32.
John S, Poh AC, Lim TC, Chan EH (2012) The iPad tablet computer for mobile on-call radiology diagnosis? Auditing discrepancy in CT and MRI reporting. J Digit Imaging 25(5):628–634PubMedCentralPubMedCrossRef
33.
Berger E (2010) The iPad: gadget or medical godsend? Ann Emerg Med 56(1):A21–A22CrossRef
34.
35.
36.
MEVIS DF-IfBM Mobile Liver Explorer. Accessed 04 May 2014
37.
38.
39.
Muller M, Rassweiler MC, Klein J, Seitel A, Gondan M, Baumhauer M, Teber D, Rassweiler JJ, Meinzer HP, Maier-Hein L (2013) Mobile augmented reality for computer-assisted percutaneous nephrolithotomy. Int J Comput Assist Radiol Surg 8(4):663–675. doi:10.​1007/​s11548-013-0828-4 PubMedCrossRef
40.
Peregrin T (2014) Surgeons see future applications for Google Glass. Bull Am Coll Surg 99(7):9–16PubMed
41.
42.
43.
44.
45.
Rotter T, Kinsman L, James E, Machotta A, Gothe H, Willis J, Snow P, Kugler J (2010) Clinical pathways: effects on professional practice, patient outcomes, length of stay and hospital costs. Cochrane Database Syst Rev 3, CD006632. doi:10.​1002/​14651858.​CD006632.​pub2 PubMed
46.
Strasser M, Pfeifer F, Helm E, Schuler A, Altmann J (2011) Defining and reconstructing clinical processes based on IHE and BPMN 2.0. Stud Health Technol Inform 169:482–486PubMed
47.
Scheuerlein H, Rauchfuss F, Dittmar Y, Molle R, Lehmann T, Pienkos N, Settmacher U (2012) New methods for clinical pathways-Business Process Modeling Notation (BPMN) and Tangible Business Process Modeling (t.BPM). Langenbeck’s Arch Surg 397(5):755–761. doi:10.​1007/​s00423-012-0914-z CrossRef
48.
Poulymenopoulou M, Papakonstantinou D, Malamateniou F, Vassilacopoulos G (2014) Adaptive healthcare processes for personalized emergency clinical pathways. Stud Health Technol Inform 205:423–427PubMed
49.
Doebbeling BN, Burton MM, Wiebke EA, Miller S, Baxter L, Miller D, Alvarez J, Pekny J (2012) Optimizing perioperative decision making: improved information for clinical workflow planning. AMIA Annu Symp Proc 2012:154–163PubMedCentralPubMed
50.
51.
Aggarwal R, Darzi A (2005) Training in laparoscopy—which model to use? Indian J Gastroenterol 24(3):95–96PubMed
52.
53.
54.
55.
56.
Clinical Outcomes of Surgical Therapy Study Group (2004) A comparison of laparoscopically assisted and open colectomy for colon cancer. N Engl J Med 350(20):2050–2059. doi:10.​1056/​NEJMoa032651 CrossRef
57.
58.
Harrell AG, Heniford BT (2005) Minimally invasive abdominal surgery: lux et veritas past, present, and future. Am J Surg 190(2):239–243PubMedCrossRef
59.
Ayodeji ID, Schijven M, Jakimowicz J, Greve JW (2007) Face validation of the Simbionix LAP Mentor virtual reality training module and its applicability in the surgical curriculum. Surg Endosc 21(9):1641–1649. doi:10.​1007/​s00464-007-9219-7 PubMedCrossRef
60.
Schijven MP, Jakimowicz JJ, Broeders IA, Tseng LN (2005) The Eindhoven laparoscopic cholecystectomy training course—improving operating room performance using virtual reality training: results from the first E.A.E.S. accredited virtual reality trainings curriculum. Surg Endosc 19(9):1220–1226. doi:10.​1007/​s00464-004-2240-1 PubMedCrossRef
61.
Zendejas B, Cook DA, Bingener J, Huebner M, Dunn WF, Sarr MG, Farley DR (2011) Simulation-based mastery learning improves patient outcomes in laparoscopic inguinal hernia repair: a randomized controlled trial. Ann Surg 254(3):502–509. doi:10.​1097/​SLA.​0b013e31822c6994​, discussion 509–511PubMedCrossRef
62.
Pape-Koehler C, Chmelik C, Aslund AM, Heiss MM (2010) An interactive and multimedia-based manual of surgical procedures: Webop—an approach to improve surgical education. Zentralbl Chir 135(5):467–471. doi:10.​1055/​s-0030-1262538 PubMedCrossRef
63.
64.
65.
66.
Nickel F, Bintintan VV, Gehrig T, Kenngott HG, Fischer L, Gutt CN, Muller-Stich BP (2013) Virtual reality does not meet expectations in a pilot study on multimodal laparoscopic surgery training. World J Surg 37(5):965–973. doi:10.​1007/​s00268-013-1963-3 PubMedCrossRef
67.
68.
Zimmerman H, Latifi R, Dehdashti B, Ong E, Jie T, Galvani C, Waer A, Wynne J, Biffar D, Gruessner R (2011) Intensive laparoscopic training course for surgical residents: program description, initial results, and requirements. Surg Endosc 25(11):3636–3641. doi:10.​1007/​s00464-011-1770-6 PubMedCrossRef
69.
70.
Musen MA, Middleton B, Greenes RA (2014) Clinical decision-support systems. In: Biomedical informatics. Springer, pp 643–674
71.
Shortliffe EH (1976) Computer-based medical consultations, MYCIN. Artificial intelligence series, vol 2. Elsevier, New York
72.
Stojadinovic A, Bilchik A, Smith D, Eberhardt JS, Ward EB, Nissan A, Johnson EK, Protic M, Peoples GE, Avital I, Steele SR (2013) Clinical decision support and individualized prediction of survival in colon cancer: bayesian belief network model. Ann Surg Oncol 20(1):161–174. doi:10.​1245/​s10434-012-2555-4 PubMedCrossRef
73.
Cucchetti A, Vivarelli M, Heaton ND, Phillips S, Piscaglia F, Bolondi L, La Barba G, Foxton MR, Rela M, O’Grady J, Pinna AD (2007) Artificial neural network is superior to MELD in predicting mortality of patients with end-stage liver disease. Gut 56(2):253–258. doi:10.​1136/​Gut.​2005.​084434 PubMedCentralPubMedCrossRef
74.
75.
Metadata
Title
Computer-assisted abdominal surgery: new technologies
Authors
H. G. Kenngott
M. Wagner
F. Nickel
A. L. Wekerle
A. Preukschas
M. Apitz
T. Schulte
R. Rempel
P. Mietkowski
F. Wagner
A. Termer
Beat P. Müller-Stich
Publication date
01-04-2015
Publisher
Springer Berlin Heidelberg
Published in
Langenbeck's Archives of Surgery / Issue 3/2015
Print ISSN: 1435-2443
Electronic ISSN: 1435-2451
DOI
https://doi.org/10.1007/s00423-015-1289-8

Other articles of this Issue 3/2015

Langenbeck's Archives of Surgery 3/2015 Go to the issue

Original Article

Surgical resection of metastases to the adrenal gland: a single center experience

Original Article

Prehospital fluid management of abdominal organ trauma patients—a matched pair analysis

How-I-Do-It article

Towards cybernetic surgery: robotic and augmented reality-assisted liver segmentectomy

Original Article

Necessity of therapy for post-thyroidectomy hypocalcaemia: a multi-centre experience

Original Article

Sternotomy for substernal goiter: retrospective study of 52 operations

Original Article

Laparoscopic adrenalectomy—10-year experience at a teaching hospital