BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging
| Autor: | Mirela T. Cazzolato, Jamilly Gomes Maciel, Caetano Traina, Agma J. M. Traina, Jonathan S. Ramos, Marcello Henrique Nogueira-Barbosa |
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| Rok vydání: | 2021 |
| Předmět: |
musculoskeletal diseases
Bone mineral medicine.medical_specialty medicine.diagnostic_test business.industry Osteoporosis Magnetic resonance imaging musculoskeletal system medicine.disease Sagittal plane Osteopenia medicine.anatomical_structure Lumbar medicine Radiology Densitometry business Bone mass |
| Zdroj: | CBMS |
| DOI: | 10.1109/cbms52027.2021.00089 |
| Popis: | Bone densitometry (DEXA) is the international reference standard to evaluate Bone Mineral Density (BMD) and diagnose osteoporosis. However, DEXA is far from ideal when used to predict fragility fractures, which are strongly related to morbidity and mortality. According to the literature, spine MRI texture features correlate well with DEXA measurements. For this reason, we conducted an extensive empirical study aimed at assessing fragility fractures secondary to osteoporosis. To perform the evaluations, we developed a radiomic-based approach called BEAUT (BonE Analysis Using Texture). We performed experiments on a meaningful database composed of 47 T2-weighted sagittal sequences from lumbar spine MRI. The patients were diagnosed with osteopenia or osteoporosis according to DEXA (patients with low bone mass). BEAUT achieved an accuracy of 92% and 97% AUC with feature selection to discriminate between patients from groups ‘Fractures’ and ‘No Fractures’. The results support claiming that texture features potentially discriminate subjects with bone mass loss, spotting those at risk of fragility fractures. |
| Databáze: | OpenAIRE |
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