Prediction of breast cancer-related lymphedema risk after postoperative radiotherapy via multivariable logistic regression analysis.

ABSTRACT:

Purpose

We identified novel clinical and dosimetric prognostic factors affecting breast cancer-related lymphedema after postoperative radiotherapy (RT) and developed a multivariable logistic regression model to predict lymphedema in these patients.

Methods and materials

In total, 580 patients with unilateral breast cancer were retrospectively reviewed. All patients underwent breast surgery and postoperative RT with or without systemic treatment in 2015. Among the 580 patients, 532 with available RT plan data were randomly divided into training (n=372) and test (n=160) cohorts at a 7:3 ratio to generate and validate the lymphedema prediction models, respectively. An area under the curve (AUC) value was estimated to compare models.

Results

The median follow-up duration

SUBMITTER: Kim JS 

PROVIDER: S-EPMC9643832 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature