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Atlas-based Auto-Segmentation for Postoperative Radiotherapy Planning in Endometrial and Cervical Cancers

Authors
 Nalee Kim  ;  Jee Suk Chang  ;  Yong Bae Kim  ;  Jin Sung Kim 
Citation
 RADIATION ONCOLOGY, Vol.15(1) : 106, 2020-04 
Journal Title
RADIATION ONCOLOGY
Issue Date
2020-04
Keywords
Auto segmentation ; Computer-assisted radiotherapy planning ; Gynecologic cancer ; Intensity-modulated radiation therapy ; Radiotherapy
Abstract
Background: Since intensity-modulated radiation therapy (IMRT) has become popular for the treatment of gynecologic cancers, the contouring process has become more critical. This study evaluated the feasibility of atlas-based auto-segmentation (ABAS) for contouring in patients with endometrial and cervical cancers.

Methods: A total of 75 sets of planning CT images from 75 patients were collected. Contours for the pelvic nodal clinical target volume (CTV), femur, and bladder were carefully generated by two skilled radiation oncologists. Of 75 patients, 60 were randomly registered in three different atlas libraries for ABAS in groups of 20, 40, or 60. ABAS was conducted in 15 patients, followed by manual correction (ABASc). The time required to generate all contours was recorded, and the accuracy of segmentation was assessed using Dice's coefficient (DC) and the Hausdorff distance (HD) and compared to those of manually delineated contours.

Results: For ABAS-CTV, the best results were achieved with groups of 60 patients (DC, 0.79; HD, 19.7 mm) and the worst results with groups of 20 patients (DC, 0.75; p = 0.012; HD, 21.3 mm; p = 0.002). ABASc-CTV performed better than ABAS-CTV in terms of both HD and DC (ABASc [n = 60]; DC, 0.84; HD, 15.6 mm; all p < 0.017). ABAS required an average of 45.1 s, whereas ABASc required 191.1 s; both methods required less time than the manual methods (p < 0.001). Both ABAS-Femur and simultaneous ABAS-Bilateral-femurs showed satisfactory performance, regardless of the atlas library used (DC > 0.9 and HD ≤10.0 mm), with significant time reduction compared to that needed for manual delineation (p < 0.001). However, ABAS-Bladder did not prove to be feasible, with inferior results regardless of library size (DC < 0.6 and HD > 40 mm). Furthermore, ABASc-Bladder required a longer processing time than manual contouring to achieve the same accuracy.

Conclusions: ABAS could help physicians to delineate the CTV and organs-at-risk (e.g., femurs) in IMRT planning considering its consistency, efficacy, and accuracy.
Files in This Item:
T202001656.pdf Download
DOI
10.1186/s13014-020-01562-y
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Kim, Nalee(김나리) ORCID logo https://orcid.org/0000-0003-4742-2772
Kim, Yong Bae(김용배) ORCID logo https://orcid.org/0000-0001-7573-6862
Kim, Jinsung(김진성) ORCID logo https://orcid.org/0000-0003-1415-6471
Chang, Jee Suk(장지석) ORCID logo https://orcid.org/0000-0001-7685-3382
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/176222
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