Validation of a Machine Learning Model for Predicting Postmastectomy Radiotherapy Recommendation Following Immediate Breast Reconstruction.

ABSTRACT:

Background

Postmastectomy radiotherapy (PMRT) in the context of immediate implant-based breast reconstruction (IIBBR) is associated with long-term morbidity. The likelihood of PMRT may influence the type and timing of breast reconstruction chosen in the preoperative setting. This study aimed to validate a machine learning (ML) model for predicting the probability of PMRT recommendations in IIBBR patients, in accordance with the transparent reporting of studies on prediction models for individual prognosis or diagnosis guidelines.

Methods

The study cohort comprised 224 breast cancer patients who underwent mastectomy with IIBBR from January 2021 to December 2022. Data were collected on 12 patient characteristics identified as predictive in our ML model. Preoperative characteri

SUBMITTER: Lee JJ 

PROVIDER: S-EPMC12689033 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature