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.
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.
Authors: Michele Bandirali; Luca M Sconfienza; Alberto Aliprandi; Giovanni Di Leo; Daniele Marchelli; Fabio M Ulivieri; Francesco Sardanelli Journal: Radiol Med Date: 2013-12-03 Impact factor: 3.469
Authors: W D Leslie; L M Giangregorio; M Yogendran; M Azimaee; S Morin; C Metge; P Caetano; L M Lix Journal: Osteoporos Int Date: 2011-04-08 Impact factor: 4.507
Authors: Christian Cordes; Thomas Baum; Michael Dieckmeyer; Stefan Ruschke; Maximilian N Diefenbach; Hans Hauner; Jan S Kirschke; Dimitrios C Karampinos Journal: Front Endocrinol (Lausanne) Date: 2016-06-27 Impact factor: 5.555
Authors: Alessandro Liguori; Federica Galli; Martina Gurgitano; Anna Borelli; Marco Pandolfi; Ferdinando Caranci; Alberto M Magenta Biasina; Giovanni G M Pompili; Claudia L Piccolo; Vittorio Miele; Carlo Masciocchi; Giampaolo Carrafiello Journal: Acta Biomed Date: 2018-01-19