Preoperative prediction of clinical and pathological stages for patients with esophageal cancer using PET/CT radiomics.

ABSTRACT:

Background

Preoperative stratification is critical for the management of patients with esophageal cancer (EC). To investigate the feasibility and accuracy of PET-CT-based radiomics in preoperative prediction of clinical and pathological stages for patients with EC.

Methods

Histologically confirmed 100 EC patients with preoperative PET-CT images were enrolled retrospectively and randomly divided into training and validation cohorts at a ratio of 7:3. The maximum relevance minimum redundancy (mRMR) was applied to select optimal radiomics features from PET, CT, and fused PET-CT images, respectively. Logistic regression (LR) was applied to classify the T stage (T_1,2 vs. T_3,4), lymph node metastasis (LNM) (LNM_(-) vs. LNM₍₊₎), and pathol

SUBMITTER: Lei X 

PROVIDER: S-EPMC10577114 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature