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Open Access 01-12-2012 | Research

A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy

Authors: Nicholas Hardcastle, Wolfgang A Tomé, Donald M Cannon, Charlotte L Brouwer, Paul WH Wittendorp, Nesrin Dogan, Matthias Guckenberger, Stéphane Allaire, Yogish Mallya, Prashant Kumar, Markus Oechsner, Anne Richter, Shiyu Song, Michael Myers, Bülent Polat, Karl Bzdusek

Published in: Radiation Oncology | Issue 1/2012

Abstract

Background

Adaptive Radiotherapy aims to identify anatomical deviations during a radiotherapy course and modify the treatment plan to maintain treatment objectives. This requires regions of interest (ROIs) to be defined using the most recent imaging data. This study investigates the clinical utility of using deformable image registration (DIR) to automatically propagate ROIs.

Methods

Target (GTV) and organ-at-risk (OAR) ROIs were non-rigidly propagated from a planning CT scan to a per-treatment CT scan for 22 patients. Propagated ROIs were quantitatively compared with expert physician-drawn ROIs on the per-treatment scan using Dice scores and mean slicewise Hausdorff distances, and center of mass distances for GTVs. The propagated ROIs were qualitatively examined by experts and scored based on their clinical utility.

Results

Good agreement between the DIR-propagated ROIs and expert-drawn ROIs was observed based on the metrics used. 94% of all ROIs generated using DIR were scored as being clinically useful, requiring minimal or no edits. However, 27% (12/44) of the GTVs required major edits.

Conclusion

DIR was successfully used on 22 patients to propagate target and OAR structures for ART with good anatomical agreement for OARs. It is recommended that propagated target structures be thoroughly reviewed by the treating physician.

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Osorio EMV, Hoogeman MS, Al-Mamgani A, Teguh DN, Levendag PC, Heijmen BJM: Local anatomic changes in parotid and submandibular glands during radiotherapy for oropharynx cancer and correlation with dose, studied in detail with nonrigid registration. Int J Radiat Oncol Biol Phys. 2008, 70: 875-882. 10.1016/j.ijrobp.2007.10.063.CrossRef

Robar JL, Day A, Clancey J, Kelly R, Yewondwossen M, Hollenhorst H, Rajaraman M, Wilke D: Spatial and dosimetric variability of organs at risk in head-and-neck intensity-modulated radiotherapy. Int J Radiat Oncol Biol Phys. 2007, 68: 1121-1130. 10.1016/j.ijrobp.2007.01.030.CrossRefPubMed

Lee C, Langen KM, Lu W, Haimerl J, Schnarr E, Ruchala KJ, Olivera GH, Meeks SL, Kupelian PA, Shellenberger TD, MaÒon RR: Assessment of parotid gland dose changes during head and neck cancer radiotherapy using daily megavoltage computed tomography and deformable image registration. Int J Radiat Oncol Biol Phys. 2008, 71: 1563-1571. 10.1016/j.ijrobp.2008.04.013.CrossRefPubMed

O'Daniel JC, Garden AS, Schwartz DL, Wang H, Ang KK, Ahamad A, Rosenthal DI, Morrison WH, Asper JA, Zhang L, Tung S-M, Mohan R, Dong L: Parotid gland dose in intensity-modulated radiotherapy for head and neck cancer: is what you plan what you get?. Int J Radiat Oncol Biol Phys. 2007, 69: 1290-1296. 10.1016/j.ijrobp.2007.07.2345.PubMedCentralCrossRefPubMed

Yang S-N, Liao C-Y, Chen S-W, Liang J-A, Tsai M-H, Hua C-H, Lin F-J: Clinical implications of the tumor volume reduction rate in head-and-neck cancer during definitive intensity-modulated radiotherapy for organ preservation. Int J Radiat Oncol Biol Phys. 2011, 79: 1096-1103. 10.1016/j.ijrobp.2009.12.055.CrossRefPubMed

Ahn PH, Chen C-C, Ahn AI, Hong L, Scripes PG, Shen J, Lee C-C, Miller E, Kalnicki S, Garg M: Adaptive planning in intensity-modulated radiation therapy for head and neck cancers: single-institution experience and clinical implications. Int J Radiat Oncol Biol Phys. 2011, 80 (3): 677-685. 10.1016/j.ijrobp.2010.03.014.CrossRefPubMed

Guckenberger M, Wilbert J, Richter A, Baier K, Flentje M: Potential of adaptive radiotherapy to escalate the radiation dose in combined radiochemotherapy for locally advanced non-small cell lung cancer. Int J Radiat Oncol Biol Phys. 2011, 79: 901-908. 10.1016/j.ijrobp.2010.04.050.CrossRefPubMed

Woodford C, Yartsev S, Dar AR, Bauman G, Van Dyk J: Adaptive radiotherapy planning on decreasing gross tumor volumes as seen on megavoltage computed tomography images. Int J Radiat Oncol Biol Phys. 2007, 69: 1316-1322. 10.1016/j.ijrobp.2007.07.2369.CrossRefPubMed

Wu Q, Chi Y, Chen PY, Krauss DJ, Yan D, Martinez A: Adaptive replanning strategies accounting for shrinkage in head and neck IMRT. Int J Radiat Oncol Biol Phys. 2009, 75: 924-932. 10.1016/j.ijrobp.2009.04.047.CrossRefPubMed

10.

Zhang T, Chi Y, Meldolesi E, Yan D: Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy. Int J Radiat Oncol Biol Phys. 2007, 68: 522-530. 10.1016/j.ijrobp.2007.01.038.CrossRefPubMed

11.

Zhao L, Wan Q, Zhou Y, Deng X, Xie C, Wu S: The role of replanning in fractionated intensity modulated radiotherapy for nasopharyngeal carcinoma. Radiother Oncol. 2011, 98: 23-27. 10.1016/j.radonc.2010.10.009.CrossRefPubMed

12.

Al-Mayah A, Moseley J, Hunter S, Velec M, Chau L, Breen S, Brock K: Biomechanical-based image registration for head and neck radiation treatment. Phys Med Biol. 2010, 55: 6491-6500. 10.1088/0031-9155/55/21/010.CrossRefPubMed

13.

Castadot P, Lee JA, Parraga A, Geets X, Macq B, GrÈgoire V: Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors. Radiother Oncol. 2008, 89: 1-12. 10.1016/j.radonc.2008.04.010.CrossRefPubMed

14.

Sims R, Isambert A, Grégoire V, Bidault F, Fresco L, Sage J, Mills J, Bourhis J, Lefkopoulos D, Commowick O, Benkebil M, Malandain G: A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck. Radiother Oncol. 2009, 93: 474-478. 10.1016/j.radonc.2009.08.013.CrossRefPubMed

15.

Voet PWJ, Dirkx MLP, Teguh DN, Hoogeman MS, Levendag PC, Heijmen BJM: Does atlas-based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? A dosimetric analysis. Radiother Oncol. 2011, 98: 373-377. 10.1016/j.radonc.2010.11.017.CrossRefPubMed

16.

Brouwer CL, Meertens H, Bijl HP, Chouvalova O, Burlage F, Steenbakkers R, Langendijk J, Veld AVT: Computerized re-contouring of H&N organs at risk is a useful alternative to physician re-contouring. Radiother Oncol. 2010, 96: S170-183.CrossRef

17.

Tsuji SY, Hwang A, Weinberg V, Yom SS, Quivey JM, Xia P: Dosimetric evaluation of automatic segmentation for adaptive IMRT for head-and-neck cancer. Int J Radiat Oncol Biol Phys. 2010, 77: 707-714. 10.1016/j.ijrobp.2009.06.012.CrossRefPubMed

18.

Vercauteren T, Pennec X, Perchant A, Ayache N: Diffeomorphic demons: Efficient non-parametric image registration. Neuroimage. 2009, 45 (Suppl. 1): S61-S72.CrossRefPubMed

19.

Allaire S, Pekar V, Breen S, Hope A, Jaffray D: Automatic extraction of salient interest points in 3D images for contour propagation in IGRT [abstract]. Medical Physics. 2008, 35: 2972-CrossRef

20.

Dice LR: Measures of the amount of ecologic association between species. Ecology. 1945, 26: 297-302. 10.2307/1932409.CrossRef

21.

Black PE: Hausdorff distance. http://www.nist.gov/dads/HTML/hausdorffdst.html%5D,

22.

Brouwer CL, Steenbakkers RJHM, van den Heuvel E, Duppen JC, Navran A, Bijl HP, Chouvalova O, Burlage F, Meertens H, Langendijk JA, van't Veld AA: 3D Variation in delineation of head and neck organs at risk. Radiat Oncol. 2012, 7: 32-10.1186/1748-717X-7-32.PubMedCentralCrossRefPubMed

23.

Riegel AC, Berson AM, Destian S, Ng T, Tena LB, Mitnick RJ, Wong PS: Variability of gross tumor volume delineation in head-and-neck cancer using CT and PET/CT fusion. Int J Radiat Oncol Biol Phys. 2006, 65: 726-32. 10.1016/j.ijrobp.2006.01.014.CrossRefPubMed

Title: A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy
Authors: Nicholas Hardcastle
Wolfgang A Tomé
Donald M Cannon
Charlotte L Brouwer
Paul WH Wittendorp
Nesrin Dogan
Matthias Guckenberger
Stéphane Allaire
Yogish Mallya
Prashant Kumar
Markus Oechsner
Anne Richter
Shiyu Song
Michael Myers
Bülent Polat
Karl Bzdusek
Publication date: 01-12-2012
Publisher: BioMed Central
Published in: Radiation Oncology / Issue 1/2012
Electronic ISSN: 1748-717X
DOI: https://doi.org/10.1186/1748-717X-7-90

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy

Abstract

Background

Methods

Results

Conclusion

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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