A CT-based radiomics nomogram for predicting histologic grade and outcome in chondrosarcoma.

ABSTRACT:

Objective

The preoperative identification of tumor grade in chondrosarcoma (CS) is crucial for devising effective treatment strategies and predicting outcomes. The study aims to build and validate a CT-based radiomics nomogram (RN) for the preoperative identification of tumor grade in CS, and to evaluate the correlation between the RN-predicted tumor grade and postoperative outcome.

Methods

A total of 196 patients (139 in the training cohort and 57 in the external validation cohort) were derived from three different centers. A clinical model, radiomics signature (RS) and RN (which combines significant clinical factors and RS) were developed and validated to assess their ability to distinguish low-grade from high-grade CS with area under the curve (AUC). Additionally, Kaplan-

SUBMITTER: Li X 

PROVIDER: S-EPMC11007871 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature