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Simple calculation using anatomical features on pre-treatment verification CT for bladder volume estimation during radiation therapy for rectal cancer

Authors
 Nalee Kim  ;  Hong In Yoon  ;  Jin Sung Kim  ;  Woong Sub Koom  ;  Jee Suk Chang  ;  Yoonsun Chung 
Citation
 BMC CANCER, Vol.20(1) : 942, 2020-10 
Journal Title
 BMC CANCER 
Issue Date
2020-10
Keywords
Bladder volume ; Computed tomography simulation ; Cone-beam CT ; Megavoltage CT
Abstract
Background: Despite detailed instruction for full bladder, patients are unable to maintain consistent bladder filling during a 5-week pelvic radiation therapy (RT) course. We investigated the best bladder volume estimation procedure for verifying consistent bladder volume. Methods: We reviewed 462 patients who underwent pelvic RT. Biofeedback using a bladder scanner was conducted before simulation and during treatment. Exact bladder volume was calculated by bladder inner wall contour based on CT images (Vctsim). Bladder volume was estimated either by bladder scanner (Vscan) or anatomical features from the presacral promontory to the bladder base and dome in the sagittal plane of CT (Vratio). The feasibility of Vratio was validated using daily megavoltage or kV cone-beam CT before treatment. Results: Mean Vctsim was 335.6 ± 147.5 cc. Despite a positive correlation between Vctsim and Vscan (R2 = 0.278) and between Vctsim and Vratio (R2 = 0.424), Vratio yielded more consistent results than Vscan, with a mean percentage error of 26.3 (SD 19.6, p < 0.001). The correlation between Vratio and Vctsim was stronger than that between Vscan and Vctsim (Z-score: - 7.782, p < 0.001). An accuracy of Vratio was consistent in megavoltage or kV cone-beam CT during treatment. In a representative case, we can dichotomize for clinical scenarios with or without bowel displacement, using a ratio of 0.8 resulting in significant changes in bowel volume exposed to low radiation doses. Conclusions: Bladder volume estimation using personalized anatomical features based on pre-treatment verification CT images was useful and more accurate than physician-dependent bladder scanners. Trial registration: Retrospectively registered.
Files in This Item:
T202004624.pdf Download
DOI
10.1186/s12885-020-07405-z
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Koom, Woong Sub(금웅섭) ORCID logo https://orcid.org/0000-0002-9435-7750
Kim, Nalee(김나리) ORCID logo https://orcid.org/0000-0003-4742-2772
Kim, Jinsung(김진성) ORCID logo https://orcid.org/0000-0003-1415-6471
Yoon, Hong In(윤홍인) ORCID logo https://orcid.org/0000-0002-2106-6856
Chang, Jee Suk(장지석) ORCID logo https://orcid.org/0000-0001-7685-3382
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/180352
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