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Radiomic analysis of the proximal femur in osteoporosis women using 3T MRI

2023·8 Zitationen·Frontiers in RadiologyOpen Access
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8

Zitationen

3

Autoren

2023

Jahr

Abstract

Introduction: . Radiomics provides a framework to analyze the textural information of MR images. The purpose of this study was to analyze the radiomic features and its abilityto differentiate between subjects with and without prior fragility fracture. Methods: = 45 female OP subjects: 15 with fracture history (Fx) and 30 without fracture history (nFx) using a high-resolution 3D Fast Low Angle Shot (FLASH) sequence at 3T. Second and first order radiomic features were calculated in the trabecular region of the proximal femur on T1-weighted MRI signal of a matched dataset. Significance of the feature's predictive ability was measured using Wilcoxon test and Area Under the ROC (AUROC) curve analysis. The features were correlated DXA and FRAX score. Result: < 0.05) with low to moderate correlation with FRAX and DXA. Conclusion: Radiomic features can measure bone health in MRI of proximal femur and has the potential to predict fracture.

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Autoren

Institutionen

Themen

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationBone and Joint Diseases
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