Pathology-interpretable radiomic model for predicting clinical outcome in patients with osteosarcoma: a retrospective, multicenter study.

ABSTRACT:

Background

Osteosarcoma is the most prevalent primary malignant bone tumor. Radiomic models show promise in globally evaluating the prognosis of osteosarcoma; however, they lack biological interpretability. We aimed to develop a radiomic model using MRI to predict disease-free survival (DFS) in osteosarcoma patients and provide the underlying pathobiology of the model.

Methods

This retrospective study included 270 patients (training set, n = 166; external test set 1, n = 56; external test set 2, n = 48) with surgically treated and histology-proven osteosarcoma from 14 tertiary centers. A total of 1130 radiomic features were extracted from baseline MRI data. After dimensionality reduction, the radiomic model was developed on the training set and tested on the external test se

SUBMITTER: Ren Q 

PROVIDER: S-EPMC12573972 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature