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

被引：71

作者：

Hardcastle, Nicholas ^{[1
,2
,3
]}

Tome, Wolfgang A. ^{[1
,3
,4
,5
]}

Cannon, Donald M. ^{[1
]}

Brouwer, Charlotte L. ^{[6
]}

Wittendorp, Paul W. H. ^{[6
]}

Dogan, Nesrin ^{[7
]}

Guckenberger, Matthias ^{[8
]}

Allaire, Stephane ^{[9
]}

Mallya, Yogish ^{[10
]}

Kumar, Prashant

Oechsner, Markus ^{[8
]}

Richter, Anne ^{[8
]}

Song, Shiyu ^{[7
]}

Myers, Michael ^{[7
]}

Polat, Buelent ^{[8
]}

Bzdusek, Karl ^{[11
]}

机构：

[1] Univ Wisconsin, Dept Human Oncol, Madison, WI 53706 USA

[2] Peter MacCallum Canc Ctr, Dept Phys Sci, Melbourne, Vic 8006, Australia

[3] Univ Wollongong, Ctr Med Radiat Phys, Wollongong, NSW, Australia

[4] Univ Wisconsin, Dept Med Phys, Madison, WI 53706 USA

[5] Univ Wisconsin, Dept Biomed Engn, Madison, WI USA

[6] Univ Groningen, Univ Med Ctr Groningen, Dept Radiat Oncol, Groningen, Netherlands

[7] Virginia Commonwealth Univ, Med Ctr, Dept Radiat Oncol, Richmond, VA USA

[8] Univ Hosp Wurzburg, Dept Radiat Oncol, Wurzburg, Germany

[9] Princess Margaret Hosp, Radiat Med Program, Toronto, ON M4X 1K9, Canada

[10] Philips Elect India Pvt Ltd, Bangalore, Karnataka, India

[11] Philips Radiat Oncol Syst, Madison, WI USA

来源：

RADIATION ONCOLOGY | 2012年 / 7卷

关键词：

Deformable image registration; Adaptive radiotherapy; Head and neck cancer; INTENSITY-MODULATED RADIOTHERAPY; MEGAVOLTAGE COMPUTED-TOMOGRAPHY; CANCER; VARIABILITY; STRATEGIES;

D O I：

10.1186/1748-717X-7-90

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 [肿瘤学];

摘要：

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.

引用

页数：7

共 23 条

[1]

ADAPTIVE PLANNING IN INTENSITY-MODULATED RADIATION THERAPY FOR HEAD AND NECK CANCERS: SINGLE-INSTITUTION EXPERIENCE AND CLINICAL IMPLICATIONS [J].