A radiology-based differential diagnostic model for pelvic chondrosarcoma using random forest algorithms

ObjectiveTo develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.MethodsTwo hundred and thirty-eight patients (39.50% with pelvic chondrosarcoma; median age, 4...

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Bibliographic Details

Published in:	Frontiers in Oncology
Main Authors:	Xiao Ma, Yutong Jiang, Nong Lin, Zhaoming Ye, Hengyuan Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2026-05-01
Subjects:	diagnostic model differential diagnosis pelvic chondrosarcoma radiology random forest
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2026.1818815/full