Different radiomics annotation methods comparison in rectal cancer characterisation and prognosis prediction: a two-centre study.

ABSTRACT:

Objectives

To explore the performance differences of multiple annotations in radiomics analysis and provide a reference for tumour annotation in large-scale medical image analysis.

Methods

A total of 342 patients from two centres who underwent radical resection for rectal cancer were retrospectively studied and divided into training, internal validation, and external validation cohorts. Three predictive tasks of tumour T-stage (pT), lymph node metastasis (pLNM), and disease-free survival (pDFS) were performed. Twelve radiomics models were constructed using Lasso-Logistic or Lasso-Cox to evaluate and four annotation methods, 2D detailed annotation along tumour boundaries (2D), 3D detailed annotation along tumour boundaries (3D), 2D bounding box (2D_BB), and 3D bound

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC11347551 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature