Determining rib fracture age from CT scans with a radiomics-based combined model: a multicenter retrospective study.

ABSTRACT:

Objectives

We aimed to develop a combined model based on clinical and radiomic features to classify fracture age.

Methods

We included 1219 rib fractures from 239 patients from our center between March 2016 and September 2022. We created an external dataset using 120 rib fractures from 32 patients from another center between October 2019 and August 2023. According to tasks (fracture age between < 3 and ≥ 3 weeks, 3-12, and > 12 weeks), the internal dataset was randomly divided into training and internal test sets. A radiomic model was built using radiomic features. A combined model was constructed using clinical features and radiomic signatures by multivariate logistic regression, visualized as a nomogram. Internal and external test sets were used to validate model performanc

SUBMITTER: Tang Y 

PROVIDER: S-EPMC10710975 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature