Explainable ¹⁸F-FDG PET/CT radiomics model for predicting EGFR mutation status in lung adenocarcinoma: a two-center study.

ABSTRACT:

Purpose

To establish an explainable ¹⁸F-FDG PET/CT-derived prediction model to identify EGFR mutation status and subtypes (EGFR wild, EGFR-E19, and EGFR-E21) in lung adenocarcinoma (LUAD).

Methods

Baseline ¹⁸F-FDG PET/CT images of 478 patients with LUAD from 2 hospitals were collected. Data from hospital A (n = 390) was randomly split into a training group (n = 312) and an internal test group (n = 78), with data from hospital B (n = 88) utilized for external test. Further, a total of 4,760 handcrafted radiomics features (HRFs) were extracted from PET/CT scans. Candidates for the prediction model were constructed by cross-combinations of 11 feature selection methods and 7 classifiers. The optimal model was determined by combining the results of cross-cen

SUBMITTER: Zuo Y 

PROVIDER: S-EPMC11496337 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature