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

Radiation Oncology

Karl Bzdusek⁹  Bülent Polat⁴  Michael Myers³  Shiyu Song³  Anne Richter⁴  Markus Oechsner⁴  Prashant Kumar⁶  Yogish Mallya⁶  Stéphane Allaire¹  Matthias Guckenberger⁴  Nesrin Dogan³  Paul WH Wittendorp⁷  Charlotte L Brouwer⁷  Donald M Cannon⁵  Wolfgang A Tomé²  Nicholas Hardcastle⁸ 

[1]Radiation Medicine Program, Princess Margaret Hospital, Toronto, ON, Canada

[2]Departments of Medical Physics and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA

[3]Department of Radiation Oncology, Virginia Commonwealth University Medical Center, Richmond, VA, USA

[4]Department of Radiation Oncology, University Hospital Würzburg, Würzburg, Germany

[5]Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA

[6]Philips Electronics India Pvt. Ltd., Philips Innovation Campus, Bangalore, India

[7]Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands

[8]Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia

[9]Philips Radiation Oncology Systems, Madison, WI, USA

关键词: Head and neck cancer;    Adaptive radiotherapy;    Deformable image registration;   

Others  :  1160826
DOI  :  10.1186/1748-717X-7-90

 received in 2012-01-27, accepted in 2012-06-15,  发布年份 2012

【 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.

【 授权许可】

   
2012 Hardcastle et al.; licensee BioMed Central Ltd.

【 图 表 】

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