Literature DB >> 22749050

Diagnostic accuracy using diffusion tensor imaging in the diagnosis of ALS: a meta-analysis.

Bradley R Foerster1, Ben A Dwamena, Myria Petrou, Ruth C Carlos, Brian C Callaghan, Martin G Pomper.   

Abstract

RATIONALE AND
OBJECTIVES: A number of studies have reported decreases in fractional anistropy (FA) in amyotrophic lateral sclerosis using diffusion tensor imaging (DTI). The purpose of this study was to perform a meta-analysis in order to estimate the diagnostic test accuracy measures of DTI for the diagnosis of amyotrophic lateral sclerosis (ALS).
MATERIALS AND METHODS: We searched MEDLINE (1966-April 2011), EMBASE (1999-April 2011), CINAHL (1999-April 2011), and Cochrane (2005-April 2011) databases to identify studies that measured FA in ALS subjects. Human, single-center studies using a DTI region of interest (ROI) or tractography techniques were used to compare FA values along the brain corticospinal tracts between ALS subjects and healthy controls. There were no language restrictions. Independent extraction of articles by 2 authors using predefined data fields including study quality indicators. We identified 30 case-control studies that used region of interest or tractography DTI techniques. We applied binormal receiver operative characteristic (ROC) curve analysis to assign specificity and sensitivity for each study. We applied the bivariate mixed-effects regression model using the Markov Chain Monte Carlo Simulation to calculate summary estimates for the sensitivity and specificity. We used the metan module in Stata, version 11.0, to calculate the area under the ROC curve, diagnostic odds ratio and the test effectiveness summary estimates.
RESULTS: The pooled sensitivity was 0.65 (95% CI 0.61-0.69); the pooled specificity, 0.67 (95% CI 0.63-0.72); the pooled diagnostic odds ratio, 1.88 (95% CI 1.46-2.30); the pooled test effectiveness, 1.04 (95% CI 0.81-1.27); and the pooled area under the ROC curve, 0.76 (95% CI 0.71-0.81). Subanalyses comparing magnetic resonance imaging (MRI) field strength (1.5T vs. 3.0T) and brain location (corticospinal tract average vs. internal capsule) revealed no significant differences in the test accuracy measures. Reference standard used for the diagnosis of ALS was the El Escorial criteria. There was at least moderate heterogeneity between the studies. True study quality is uncertain.
CONCLUSION: The discriminatory capability of DTI to make a diagnosis of ALS is only modest. There were no significant differences in the diagnostic test accuracy summary estimates with respect to MRI field strength or brain location.
Copyright © 2012 AUR. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2012        PMID: 22749050      PMCID: PMC4337857          DOI: 10.1016/j.acra.2012.04.012

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  64 in total

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Authors:  C M Ellis; A Simmons; D K Jones; J Bland; J M Dawson; M A Horsfield; S C Williams; P N Leigh
Journal:  Neurology       Date:  1999-09-22       Impact factor: 9.910

2.  Bayesian approaches to meta-analysis of ROC curves.

Authors:  M Hellmich; K R Abrams; A J Sutton
Journal:  Med Decis Making       Date:  1999 Jul-Sep       Impact factor: 2.583

3.  Diffusion tensor imaging reveals regional differences in the cervical spinal cord in amyotrophic lateral sclerosis.

Authors:  Govind Nair; John D Carew; Sharon Usher; Debbie Lu; Xiaoping P Hu; Michael Benatar
Journal:  Neuroimage       Date:  2010-06-28       Impact factor: 6.556

4.  Amyotrophic lateral sclerosis: diffusion-tensor and chemical shift MR imaging at 3.0 T.

Authors:  Sumei Wang; Harish Poptani; John H Woo; Lisa M Desiderio; Lauren B Elman; Leo F McCluskey; Jaroslaw Krejza; Elias R Melhem
Journal:  Radiology       Date:  2006-04-26       Impact factor: 11.105

5.  Publication bias: the problem that won't go away.

Authors:  K Dickersin; Y I Min
Journal:  Ann N Y Acad Sci       Date:  1993-12-31       Impact factor: 5.691

6.  Diffusion anisotropy of the cervical cord is strictly associated with disability in amyotrophic lateral sclerosis.

Authors:  P Valsasina; F Agosta; B Benedetti; D Caputo; M Perini; F Salvi; A Prelle; M Filippi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-10-09       Impact factor: 10.154

7.  MR imaging and localized proton spectroscopy of the precentral gyrus in amyotrophic lateral sclerosis.

Authors:  B C Bowen; P M Pattany; W G Bradley; J B Murdoch; F Rotta; A A Younis; R C Duncan; R M Quencer
Journal:  AJNR Am J Neuroradiol       Date:  2000-04       Impact factor: 3.825

8.  Fractional anisotropy values detect pyramidal tract involvement in multiple system atrophy.

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Journal:  J Neurol Sci       Date:  2008-05-23       Impact factor: 3.181

Review 9.  Biomarkers in amyotrophic lateral sclerosis.

Authors:  Martin R Turner; Matthew C Kiernan; P Nigel Leigh; Kevin Talbot
Journal:  Lancet Neurol       Date:  2009-01       Impact factor: 44.182

10.  The accuracy of magnetic resonance imaging in patients with suspected multiple sclerosis. The Rochester-Toronto Magnetic Resonance Imaging Study Group.

Authors:  A I Mushlin; A S Detsky; C E Phelps; P W O'Connor; D K Kido; W Kucharczyk; D W Giang; C Mooney; C M Tansey; W J Hall
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  22 in total

1.  Diffusion tensor imaging in amyotrophic lateral sclerosis--increased sensitivity with optimized region-of-interest delineation.

Authors:  T Prokscha; J Guo; S Hirsch; J Braun; I Sack; T Meyer; M Scheel
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2.  Upper motor neuron involvement in amyotrophic lateral sclerosis evaluated by triple stimulation technique and diffusion tensor MRI.

Authors:  Jasna Furtula; Birger Johnsen; Jesper Frandsen; Anders Rodell; Peter Broegger Christensen; Kirsten Pugdahl; Anders Fuglsang-Frederiksen
Journal:  J Neurol       Date:  2013-01-09       Impact factor: 4.849

3.  Beyond fractional anisotropy in amyotrophic lateral sclerosis: the value of mean, axial, and radial diffusivity and its correlation with electrophysiological conductivity changes.

Authors:  Ana Filipa Geraldo; João Pereira; Pedro Nunes; Sofia Reimão; Rita Sousa; Miguel Castelo-Branco; Susana Pinto; Jorge Guedes Campos; Mamede de Carvalho
Journal:  Neuroradiology       Date:  2018-03-22       Impact factor: 2.804

Review 4.  Neuroimaging as a New Diagnostic Modality in Amyotrophic Lateral Sclerosis.

Authors:  Esther Verstraete; Bradley R Foerster
Journal:  Neurotherapeutics       Date:  2015-04       Impact factor: 7.620

5.  Structural explanation of poor prognosis of amyotrophic lateral sclerosis in the non-demented state.

Authors:  H-J Kim; S-I Oh; M de Leon; X Wang; K-W Oh; J-S Park; A Deshpande; M Buj; S H Kim
Journal:  Eur J Neurol       Date:  2016-10-18       Impact factor: 6.089

Review 6.  25 years of neuroimaging in amyotrophic lateral sclerosis.

Authors:  Bradley R Foerster; Robert C Welsh; Eva L Feldman
Journal:  Nat Rev Neurol       Date:  2013-08-06       Impact factor: 42.937

Review 7.  Diagnostic accuracy of diffusion tensor imaging in amyotrophic lateral sclerosis: a systematic review and individual patient data meta-analysis.

Authors:  Bradley R Foerster; Ben A Dwamena; Myria Petrou; Ruth C Carlos; Brian C Callaghan; Cristina L Churchill; Mona A Mohamed; Claudia Bartels; Michael Benatar; Laura Bonzano; Olga Ciccarelli; Mirco Cosottini; Cathy M Ellis; Hannelore Ehrenreich; Nicola Filippini; Mizuki Ito; Sanjay Kalra; Elias R Melhem; Timothy Pyra; Luca Roccatagliata; Joe Senda; Gen Sobue; Martin R Turner; Eva L Feldman; Martin G Pomper
Journal:  Acad Radiol       Date:  2013-09       Impact factor: 3.173

8.  Diffusion tensor MRI of the corpus callosum in amyotrophic lateral sclerosis.

Authors:  Molly C Chapman; Laura Jelsone-Swain; Timothy D Johnson; Kirsten L Gruis; Robert C Welsh
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9.  Diagnostic accuracy of hepatic proton density fat fraction measured by magnetic resonance imaging for the evaluation of liver steatosis with histology as reference standard: a meta-analysis.

Authors:  Yali Qu; Mou Li; Gavin Hamilton; Yingzhen N Zhang; Bin Song
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Review 10.  Mechanisms, models and biomarkers in amyotrophic lateral sclerosis.

Authors:  Martin R Turner; Robert Bowser; Lucie Bruijn; Luc Dupuis; Albert Ludolph; Michael McGrath; Giovanni Manfredi; Nicholas Maragakis; Robert G Miller; Seth L Pullman; Seward B Rutkove; Pamela J Shaw; Jeremy Shefner; Kenneth H Fischbeck
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2013-05       Impact factor: 4.092

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