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Dataset Information

Multiscale spatial relationship-based model for predicting bladder wall dose in pelvic radiotherapy.


ABSTRACT:

Purpose

This research aimed to develop a prediction model to assess bladder wall dosimetry during radiotherapy for patients with pelvic tumors, thereby facilitating the refinement and evaluation of radiotherapy treatment plans to mitigate bladder toxicity.

Methods

Radiotherapy treatment plans of 49 rectal cancer patients and 45 gynecologic cancer patients were collected, and multiple linear regression analyses were used to generate prediction models for bladder wall dose parameters ( V10-45Gy(cm3)${V_{10 - 45Gy\ }}( {{\mathrm{c}}{{\mathrm{m}}^3}} )$ , Dmean(Gy)${D_{mean}}( {{\mathrm{Gy}}} )$ ). These models were based on the multiscale spatial relationship between the planning target volume (PTV) and the bladder or bladder wall. The proportion of bladder or bladder wall volu

SUBMITTER: Gao X 

PROVIDER: S-EPMC10860549 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature