The aimof the present study was to evaluate the performance of sagittalMR localizer (MR-loc), in terms of diagnostic accuracy and intra- and inter-observer agreement in the detection of vertebral fractures (VFs). Threehundred MR examinations of the thoracic and/or lumbar spine were randomly collected. A semi-quantitative approach was used and morphometric analysis was performed when a VF was suspected. MR-loc images were evaluated blindly by three radiologists in two different sessions. A full diagnostic sagittal T1-weighted fast spin echoMRsequencewas used as standard of reference (RS). Degenerative arthritis was also scored on RS. Only vertebral bodies which were assessable by both MR-loc and RS were considered for the analysis. Area under the receiver operating characteristic curve (AUROC), Cohen kappa statistic, and linear-by-linear association were used for statistical analysis. Kappa values were compared by means of the z distribution. A total of 2186 vertebraewere analysed in 300MRI exams (147males, 153 females, 59.4±16.4 y.o.). Sixty-seven out of 2136 (3.1%) VFs were identified in 23/300 (7.7%) patients submitted to MRI. In the detection of VFs, sensitivity and specificity of MR-loc were both 100% (accuracy AUROC = 1.000). Inter-observer agreement was excellent (k= 0.938± 0.013),while intra-observer agreementwas perfect (k= 1.000). The diagnostic performance was independent from degenerative arthritis, vertebral level, type and grade of VFs. MR-loc is a simple but accurate tool in the detection of VFs. It should be introduced for systematic evaluation in the detection of VFs in MR examinations performed in daily clinical practice.

Localizer sequences of magnetic resonance imaging accurately identify osteoporotic vertebral fractures / A. Bazzocchi; G. Garzillo; F. Fuzzi; D. Diano; U. Albisinni; E. Salizzoni; G. Battista; G. Guglielmi. - In: BONE. - ISSN 8756-3282. - STAMPA. - 61:(2014), pp. 158-163. [10.1016/j.bone.2014.01.013]

Localizer sequences of magnetic resonance imaging accurately identify osteoporotic vertebral fractures

SALIZZONI, EUGENIO;BATTISTA, GIUSEPPE;
2014

Abstract

The aimof the present study was to evaluate the performance of sagittalMR localizer (MR-loc), in terms of diagnostic accuracy and intra- and inter-observer agreement in the detection of vertebral fractures (VFs). Threehundred MR examinations of the thoracic and/or lumbar spine were randomly collected. A semi-quantitative approach was used and morphometric analysis was performed when a VF was suspected. MR-loc images were evaluated blindly by three radiologists in two different sessions. A full diagnostic sagittal T1-weighted fast spin echoMRsequencewas used as standard of reference (RS). Degenerative arthritis was also scored on RS. Only vertebral bodies which were assessable by both MR-loc and RS were considered for the analysis. Area under the receiver operating characteristic curve (AUROC), Cohen kappa statistic, and linear-by-linear association were used for statistical analysis. Kappa values were compared by means of the z distribution. A total of 2186 vertebraewere analysed in 300MRI exams (147males, 153 females, 59.4±16.4 y.o.). Sixty-seven out of 2136 (3.1%) VFs were identified in 23/300 (7.7%) patients submitted to MRI. In the detection of VFs, sensitivity and specificity of MR-loc were both 100% (accuracy AUROC = 1.000). Inter-observer agreement was excellent (k= 0.938± 0.013),while intra-observer agreementwas perfect (k= 1.000). The diagnostic performance was independent from degenerative arthritis, vertebral level, type and grade of VFs. MR-loc is a simple but accurate tool in the detection of VFs. It should be introduced for systematic evaluation in the detection of VFs in MR examinations performed in daily clinical practice.
2014
Localizer sequences of magnetic resonance imaging accurately identify osteoporotic vertebral fractures / A. Bazzocchi; G. Garzillo; F. Fuzzi; D. Diano; U. Albisinni; E. Salizzoni; G. Battista; G. Guglielmi. - In: BONE. - ISSN 8756-3282. - STAMPA. - 61:(2014), pp. 158-163. [10.1016/j.bone.2014.01.013]
A. Bazzocchi; G. Garzillo; F. Fuzzi; D. Diano; U. Albisinni; E. Salizzoni; G. Battista; G. Guglielmi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/256884
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