Literature DB >> 23849102

The quantitative diagnostic capability of routine MR imaging and diffusion-weighted imaging in osteoporosis patients.

Hisanobu Koyama1, Hisahiro Yoshihara, Motoshige Kotera, Tetsuya Tamura, Kazuro Sugimura.   

Abstract

OBJECTIVES: To determine the quantitative diagnostic capability of magnetic resonance imaging (MRI), compared to dual-energy X-ray absorptiometry (DEXA), for osteoporosis.
MATERIALS AND METHODS: Eight male volunteers and eight patients underwent both DEXA and MRI. Results were obtained from each subject's L2 to L4, for a total of 48 lumbar vertebrae. Based on their bone mineral density (BMD) acquired from DEXA, the vertebrae were classified as follows: normal (n=28), osteopenic (n=0), and osteoporotic (n=20). All MR examinations were performed on a 1.5-T scanner to obtain T1-weighted imaging (T1WI), fat-suppression T2-weighted imaging (FS-T2WI), and diffusion-weighted imaging (DWI). These quantitative MR parameters were determined: T1WI and FS-T2WI signal-to-noise ratios and DWI apparent diffusion coefficient values. To determine the diagnostic capability of MRI as an osteoporosis indicator, MR parameters were assessed statistically.
RESULTS: All MR parameters significantly correlated with BMD (T1WI: r=-0.64, FS-T2WI: r=-0.36, DWI: r=-0.29), with significant differences among normal and osteoporotic vertebrae (P<.05). By receiver operating characteristic analysis, the area under the curve of T1WI was significantly higher than others (P<.05). When adapted as feasible threshold values, sensitivity, specificity, and accuracy of T1WI were 95.0% (19/20), 92.9% (26/28), and 93.8% (45/48), respectively.
CONCLUSION: Routine MRI, in particular T1WI, had a potential for the assessment of osteoporosis.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion-weighted imaging; MRI; Osteoporosis

Mesh:

Year:  2013        PMID: 23849102     DOI: 10.1016/j.clinimag.2013.05.001

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  7 in total

1.  Sensitivity and specificity assessment of DWI and ADC for the diagnosis of osteoporosis in postmenopausal patients.

Authors:  Mohammad Momeni; Mohammad Asadzadeh; Karim Mowla; Mohammad Ghasem Hanafi; Mohammad Momen Gharibvand; Aliakbar Sahraeizadeh
Journal:  Radiol Med       Date:  2019-09-17       Impact factor: 3.469

Review 2.  Quantitative imaging methods in osteoporosis.

Authors:  Ling Oei; Fjorda Koromani; Fernando Rivadeneira; M Carola Zillikens; Edwin H G Oei
Journal:  Quant Imaging Med Surg       Date:  2016-12

3.  What is changed in the diagnosis of osteoporosis: the role of radiologists.

Authors:  Giuseppe Guglielmi; Rosario Francesco Balzano; Xiaoguang Cheng
Journal:  Quant Imaging Med Surg       Date:  2018-02

4.  Bone marrow magnetic resonance imaging of the clivus in pediatric leukemia patients and normal controls.

Authors:  Tatsuya Nishii; Atsushi K Kono; Yoshinobu Akasaka; Takeshi Mori; Akira Hayakawa; Kazumoto Iijima; Kazuro Sugimura
Journal:  Jpn J Radiol       Date:  2015-02-05       Impact factor: 2.374

5.  Apparent diffusion coefficient maps in the assessment of surgical patients with lumbar spine degeneration.

Authors:  Evgenii Belykh; Andrey A Kalinin; Arpan A Patel; Eric J Miller; Michael A Bohl; Ivan A Stepanov; Liudmila A Bardonova; Talgat Kerimbaev; Anton O Asantsev; Morgan B Giers; Mark C Preul; Vadim A Byvaltsev
Journal:  PLoS One       Date:  2017-08-28       Impact factor: 3.240

6.  Magnetic resonance imaging at 3.0-T in postmenopausal osteoporosis: a prospective study and review of the literature.

Authors:  Mirko Trentadue; Carlo Sozzi; Luca Idolazzi; Gianluigi Lazzarini; Riccardo Sante Murano; Davide Gatti; Maurizio Rossini; Enrico Piovan
Journal:  Radiol Bras       Date:  2022 Jul-Aug

Review 7.  Vertebral Imaging in the Diagnosis of Osteoporosis: a Clinician's Perspective.

Authors:  Sharon H Chou; Meryl S LeBoff
Journal:  Curr Osteoporos Rep       Date:  2017-12       Impact factor: 5.163

  7 in total

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