Literature DB >> 24473374

Localizer sequences of magnetic resonance imaging accurately identify osteoporotic vertebral fractures.

A Bazzocchi1, G Garzillo2, F Fuzzi2, D Diano2, U Albisinni3, E Salizzoni2, G Battista2, G Guglielmi4.   

Abstract

The aim of the present study was to evaluate the performance of sagittal MR localizer (MR-loc), in terms of diagnostic accuracy and intra- and inter-observer agreement in the detection of vertebral fractures (VFs). Three-hundred 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 echo MR sequence was 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 vertebrae were analysed in 300 MRI exams (147 males, 153 females, 59.4±16.4y.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 agreement was 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.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fracture prevention; Osteoporosis; Radiology; Screening

Mesh:

Year:  2014        PMID: 24473374     DOI: 10.1016/j.bone.2014.01.013

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  5 in total

1.  A new diagnostic score to detect osteoporosis in patients undergoing lumbar spine MRI.

Authors:  Michele Bandirali; Giovanni Di Leo; Giacomo Davide Edoardo Papini; Carmelo Messina; Luca Maria Sconfienza; Fabio Massimo Ulivieri; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2015-04-22       Impact factor: 5.315

Review 2.  Vertebral Fracture Identification as Part of a Comprehensive Risk Assessment in Patients with Osteoporosis.

Authors:  John T Schousboe
Journal:  Curr Osteoporos Rep       Date:  2018-10       Impact factor: 5.096

Review 3.  Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia.

Authors:  Sara Guerri; Daniele Mercatelli; Maria Pilar Aparisi Gómez; Alessandro Napoli; Giuseppe Battista; Giuseppe Guglielmi; Alberto Bazzocchi
Journal:  Quant Imaging Med Surg       Date:  2018-02

4.  High bone marrow fat in patients with Cushing's syndrome and vertebral fractures.

Authors:  Francesco Ferraù; Salvatore Giovinazzo; Erika Messina; Agostino Tessitore; Sergio Vinci; Gherardo Mazziotti; Andrea Lania; Francesca Granata; Salvatore Cannavò
Journal:  Endocrine       Date:  2019-08-02       Impact factor: 3.633

5.  Readability of extraspinal organs on scout images of lumbar spine MRI according to different protocols.

Authors:  Ja Yeon You; Joon Woo Lee; Jiwoon Seo; Jee Won Chai; Hee Dong Chae; Heung Sik Kang
Journal:  PLoS One       Date:  2021-05-13       Impact factor: 3.240

  5 in total

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