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- W4387516205 abstract "To analyze tumor response and toxicity from the perspective of the cumulative radiotherapy dose to the target and organs at risk (OARs) with computed tomography (CT)-based image-guided adaptive brachytherapy planning for patients with locally advanced cervical carcinoma.Patients were treated with two-dimensional concurrent chemoradiotherapy to the whole pelvis followed by intracavitary brachytherapy (ICBT) with dose prescription to point 'A'. CT image-based planning with delineation of the high-risk clinical target volume (HR-CTV), urinary bladder, rectum, and sigmoid colon was performed by generating dose-volume histogram (DVH) data and optimizing doses to the target and OARs. Follow-up assessments were performed for the response to disease and late toxicity, with the generation of data for statistical analysis.This study enrolled 136 patients. The delineated HR-CTV ranged from 20.9 cc to 37.1 cc, with a median of 30.2 cc. The equivalent dose in 2 Gy per fraction (EQD2) for point 'A' ranged from 71.31 Gy to 79.75 Gy with a median of 75.1 Gy, and the EQD2 HR-CTV D90 ranged from 71.9 Gy to 89.7 Gy with a median value of 85.1 Gy. Of the patients, 69.2% showed complete response. After a median follow-up of 25 months, 50 patients remained disease-free, of whom 74.0% received ≥85 Gy to HR-CTV D90 while 26.0% received <85 Gy to HR-CTV D90.Amidst the unavailability of magnetic resonance facilities in low-middle-income countries, the incorporation of CT image-based treatment planning into routine practice for ICBT provides the scope to delineate volumes of target and OARs and to generate DVH data, which can prove to be a better surrogate for disease response and toxicity." @default.
- W4387516205 created "2023-10-12" @default.
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- W4387516205 date "2023-10-11" @default.
- W4387516205 modified "2023-10-12" @default.
- W4387516205 title "Clinical outcome after HDR intracavitary brachytherapy with traditional point ‘A’ dose prescription in locally advanced carcinoma of uterine cervix: dosimetric analysis from the perspective of CT imaging-based 3D treatment planning" @default.
- W4387516205 doi "https://doi.org/10.5468/ogs.23048" @default.
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- W4387516205 hasPublicationYear "2023" @default.
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