Innovative regression model-based decision support tool for optimizing radiotherapy techniques in thoracic esophageal cancer.

ABSTRACT:

Background

Modern radiotherapy exemplified by intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT), has transformed esophageal cancer treatment. Facing challenges in treating thoracic esophageal cancer near vital organs, this study introduces a regression model-based decision support tool for the optimal selection of radiotherapy techniques.

Methods

We enrolled 106 patients diagnosed with locally advanced thoracic esophageal cancer in this study and designed individualized IMRT and VMAT radiotherapy plans for each patient. Detailed dosimetric analysis was performed to evaluate the differences in dose distribution between the two radiotherapy techniques across various thoracic regions. Single-factor and multifactorial logistic regression an

SUBMITTER: Li Y 

PROVIDER: S-EPMC11303316 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature