A new diagnostic score to detect osteoporosis in patients undergoing lumbar spine MRI.
Eur Radiol
; 25(10): 2951-9, 2015 Oct.
Article
em En
| MEDLINE
| ID: mdl-25899417
OBJECTIVES: Signal intensity of lumbar-spine at magnetic resonance imaging (MRI) correlates to bone mineral density (BMD). Our aim was to define a quantitative MRI-based score to detect osteoporosis on lumbar-spine MRI. METHODS: After Ethics Committee approval, we selected female patients who underwent both lumbar-spine MRI and dual-energy X-ray absorptiometry (DXA) and a reference group of 131 healthy females (20-29 years) who underwent lumbar-spine MRI. We measured the intra-vertebral signal-to-noise ratio in L1-L4. We introduced an MRI-based score (M-score), on the model of T-score. M-score diagnostic performance in diagnosing osteoporosis was estimated against DXA using receiver operator characteristic (ROC) analysis. RESULTS: We included 226 patients (median age 65 years), 70 (31%) being osteoporotic at DXA. MRI signal-to-noise ratio correlated to BMD (r = -0.677, P < 0.001). M-score negatively correlated to T-score (r = -0.682, P < 0.001). Setting a 90%-specificity, an M-score threshold of 5.5 was found, distinguishing osteoporosis from non-osteoporosis (sensitivity 54%; ROC AUC 0.844). Thirty-one (14%) patients had a fragility fracture, with osteoporosis detected in 15 (48%) according to M-score and eight (26%) according to T-score (P = 0.016). CONCLUSIONS: M-score obtained on lumbar spine MRI is a quantitative method correlating with osteoporosis. Its diagnostic value remains to be demonstrated on a large prospective cohort of patients. KEY POINTS: ⢠M-score is a quantitative score potentially screening osteoporosis on lumbar-spine MRI; ⢠This method showed good intra- and inter-reader reproducibility; ⢠M-score may be used for identifying patients who should undergo DXA.
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1
Base de dados:
MEDLINE
Assunto principal:
Osteoporose
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
Limite:
Aged
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Female
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Humans
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article