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Dataset Information

Radiomics analysis using MR imaging of subchondral bone for identification of knee osteoarthritis.


ABSTRACT:

Background

To develop a magnetic resonance imaging (MRI)-based radiomics predictive model for the identification of knee osteoarthritis (OA), based on the tibial and femoral subchondral bone, and compare with the trabecular structural parameter-based model.

Methods

Eighty-eight consecutive knees were scanned with 3T MRI and scored using MRI osteoarthritis Knee Scores (MOAKS), in which 56 knees were diagnosed to have OA. The modality of sagittal three-dimensional balanced fast-field echo sequence (3D BFFE) was used to image the subchondral bone. Four trabecular structural parameters (bone volume fraction [BV/TV], trabecular thickness [Tb.Th], trabecular separation [Tb.Sp], and trabecular number) and 93 radiomics features were extracted from four regions of the lateral and med

SUBMITTER: Xue Z 

PROVIDER: S-EPMC9476345 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature