Automatic segmentation of cardiac structures for breast cancer radiotherapy. (October 2019)

• Record Type: Journal Article
• Authors: Jung, Jae Won; Lee, Choonik; Mosher, Elizabeth G.; Mille, Matthew M.; Yeom, Yeon Soo; Jones, Elizabeth C.; Choi, Minsoo; Lee, Choonsik
• Is Part Of: Physics and imaging in radiation oncology. Volume 12(2019)
• Page Start: 44
• Page End: 48
• Publication Date: 2019-10
• Subjects: Cardiac structures -- Automatic segmentation -- Deformation -- Breast radiotherapy; Radiotherapy -- Periodicals; Radiation dosimetry -- Periodicals; Cancer -- Imaging -- Periodicals; Oncology -- Periodicals; 615.842
• DOI: 10.1016/j.phro.2019.11.007
• Languages: English
• ISSNs: 2405-6316

Abstract

Highlights: We developed an automatic method to segment cardiac sub-structures for radiotherapy planning CTs. The Dice Similarity Coefficients and Average Surface Distance were up to 97% and < 11 mm, respectively. The whole heart showed the absolute dose difference < 0.3 Gy whereas the coronary arteries showed < 2.3 Gy in breast radiotherapy simulations. No notable improvement in our method beyond 10 atlases and using the manual guide points. Abstract: Background and purpose: We developed an automatic method to segment cardiac substructures given a radiotherapy planning CT images to support epidemiological studies or clinical trials looking at cardiac disease endpoints after radiotherapy. Material and methods: We used a most-similar atlas selection algorithm and 3D deformation combined with 30 detailed cardiac atlases. We cross-validated our method within the atlas library by evaluating geometric comparison metrics and by comparing cardiac doses for simulated breast radiotherapy between manual and automatic contours. We analyzed the impact of the number of cardiac atlas in the library and the use of manual guide points on the performance of our method. Results: The Dice Similarity Coefficients from the cross-validation reached up to 97% (whole heart) and 80% (chambers). The Average Surface Distance for the coronary arteries was less than 10.3 mm on average, with the best agreement (7.3 mm) in the left anterior descending artery (LAD). The dose comparison for simulated breast radiotherapy showed differences less than 0.06 Gy for the whole heart and atria, and 0.3 Gy for the ventricles. For the coronary arteries, the dose differences were 2.3 Gy (LAD) and 0.3 Gy (other arteries). The sensitivity analysis showed no notable improvement beyond ten atlases and the manual guide points does not significantly improve performance. Conclusion: We developed an automated method to contour cardiac substructures for radiotherapy CTs. When combined with accurate dose calculation techniques, our method should be useful for cardiac dose reconstruction of a large number of patients in epidemiological studies or clinical trials.