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

Bradley R. Foerster, Ben A. Dwamena, Myria Petrou, Ruth C. Carlos, Brian C. Callaghan, Cristina L. Churchill, Mona A. Mohamed, Claudia Bartels, Michael G Benatar, Laura Bonzano, Olga Ciccarelli, Mirco Cosottini, Cathy M. Ellis, Hannelore Ehrenreich, Nicola Filippini, Mizuki Ito, Sanjay Kalra, Elias R. Melhem, Timothy Pyra, Luca RoccatagliataJoe Senda, Gen Sobue, Martin R. Turner, Eva L. Feldman, Martin G. Pomper

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

Rationale and Objectives: There have been a large number of case-control studies using diffusion tensor imaging (DTI) in amyotrophic lateral sclerosis (ALS). The objective of this study was to perform an individual patient data (IPD) meta-analysis for the estimation of the diagnostic accuracy measures of DTI in the diagnosis of ALS using corticospinal tract data. Materials and Methods: MEDLINE, EMBASE, CINAHL, and Cochrane databases (1966-April 2011) were searched. Studies were included if they used DTI region of interest or tractography techniques to compare mean cerebral corticospinal tract fractional anisotropy values between ALS subjects and healthy controls. Corresponding authors from the identified articles were contacted to collect individual patient data. IPD meta-analysis and meta-regression were performed using Stata. Meta-regression covariate analysis included age, gender, disease duration, and Revised Amyotrophic Lateral Sclerosis Functional Rating Scale scores. Results: Of 30 identified studies, 11 corresponding authors provided IPD and 221 ALS patients and 187 healthy control subjects were available for study. Pooled area under the receiver operating characteristic curve (AUC) was 0.75 (95% CI: 0.66-0.83), pooled sensitivity was 0.68 (95% CI: 0.62-0.75), and pooled specificity was 0.73 (95% CI: 0.66-0.80). Meta-regression showed no significant differences in pooled AUC for each of the covariates. There was moderate to high heterogeneity of pooled AUC estimates. Study quality was generally high. Data from 19 of the 30 eligible studies were not ascertained, raising possibility of selection bias. Conclusion: Using corticospinal tract individual patient data, the diagnostic accuracy of DTI appears to lack sufficient discrimination in isolation. Additional research efforts and a multimodal approach that also includes ALS mimics will be required to make neuroimaging a critical component in the workup of ALS.

Original languageEnglish
Pages (from-to)1099-1106
Number of pages8
JournalAcademic Radiology
Volume20
Issue number9
DOIs
StatePublished - Sep 1 2013

Fingerprint

Diffusion Tensor Imaging
Amyotrophic Lateral Sclerosis
Meta-Analysis
Pyramidal Tracts
Area Under Curve
Healthy Volunteers
Selection Bias
Anisotropy
Neuroimaging
MEDLINE
ROC Curve
Case-Control Studies
Regression Analysis
Databases
Research

Keywords

  • Amyotrophic lateral sclerosis
  • Diagnostic accuracy
  • Diagnostic imaging
  • Diffusion tensor imaging
  • Magnetic resonance imaging
  • Meta-analysis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Foerster, B. R., Dwamena, B. A., Petrou, M., Carlos, R. C., Callaghan, B. C., Churchill, C. L., ... Pomper, M. G. (2013). Diagnostic accuracy of diffusion tensor imaging in amyotrophic lateral sclerosis: A systematic review and individual patient data meta-analysis. Academic Radiology, 20(9), 1099-1106. https://doi.org/10.1016/j.acra.2013.03.017

Diagnostic accuracy of diffusion tensor imaging in amyotrophic lateral sclerosis : A systematic review and individual patient data meta-analysis. / Foerster, Bradley R.; Dwamena, Ben A.; Petrou, Myria; Carlos, Ruth C.; Callaghan, Brian C.; Churchill, Cristina L.; Mohamed, Mona A.; Bartels, Claudia; Benatar, Michael G; Bonzano, Laura; Ciccarelli, Olga; Cosottini, Mirco; Ellis, Cathy M.; Ehrenreich, Hannelore; Filippini, Nicola; Ito, Mizuki; Kalra, Sanjay; Melhem, Elias R.; Pyra, Timothy; Roccatagliata, Luca; Senda, Joe; Sobue, Gen; Turner, Martin R.; Feldman, Eva L.; Pomper, Martin G.

In: Academic Radiology, Vol. 20, No. 9, 01.09.2013, p. 1099-1106.

Research output: Contribution to journalArticle

Foerster, BR, Dwamena, BA, Petrou, M, Carlos, RC, Callaghan, BC, Churchill, CL, Mohamed, MA, Bartels, C, Benatar, MG, Bonzano, L, Ciccarelli, O, Cosottini, M, Ellis, CM, Ehrenreich, H, Filippini, N, Ito, M, Kalra, S, Melhem, ER, Pyra, T, Roccatagliata, L, Senda, J, Sobue, G, Turner, MR, Feldman, EL & Pomper, MG 2013, 'Diagnostic accuracy of diffusion tensor imaging in amyotrophic lateral sclerosis: A systematic review and individual patient data meta-analysis', Academic Radiology, vol. 20, no. 9, pp. 1099-1106. https://doi.org/10.1016/j.acra.2013.03.017
Foerster, Bradley R. ; Dwamena, Ben A. ; Petrou, Myria ; Carlos, Ruth C. ; Callaghan, Brian C. ; Churchill, Cristina L. ; Mohamed, Mona A. ; Bartels, Claudia ; Benatar, Michael G ; Bonzano, Laura ; Ciccarelli, Olga ; Cosottini, Mirco ; Ellis, Cathy M. ; Ehrenreich, Hannelore ; Filippini, Nicola ; Ito, Mizuki ; Kalra, Sanjay ; Melhem, Elias R. ; Pyra, Timothy ; Roccatagliata, Luca ; Senda, Joe ; Sobue, Gen ; Turner, Martin R. ; Feldman, Eva L. ; Pomper, Martin G. / Diagnostic accuracy of diffusion tensor imaging in amyotrophic lateral sclerosis : A systematic review and individual patient data meta-analysis. In: Academic Radiology. 2013 ; Vol. 20, No. 9. pp. 1099-1106.
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T2 - A systematic review and individual patient data meta-analysis

AU - Foerster, Bradley R.

AU - Dwamena, Ben A.

AU - Petrou, Myria

AU - Carlos, Ruth C.

AU - Callaghan, Brian C.

AU - Churchill, Cristina L.

AU - Mohamed, Mona A.

AU - Bartels, Claudia

AU - Benatar, Michael G

AU - Bonzano, Laura

AU - Ciccarelli, Olga

AU - Cosottini, Mirco

AU - Ellis, Cathy M.

AU - Ehrenreich, Hannelore

AU - Filippini, Nicola

AU - Ito, Mizuki

AU - Kalra, Sanjay

AU - Melhem, Elias R.

AU - Pyra, Timothy

AU - Roccatagliata, Luca

AU - Senda, Joe

AU - Sobue, Gen

AU - Turner, Martin R.

AU - Feldman, Eva L.

AU - Pomper, Martin G.

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N2 - Rationale and Objectives: There have been a large number of case-control studies using diffusion tensor imaging (DTI) in amyotrophic lateral sclerosis (ALS). The objective of this study was to perform an individual patient data (IPD) meta-analysis for the estimation of the diagnostic accuracy measures of DTI in the diagnosis of ALS using corticospinal tract data. Materials and Methods: MEDLINE, EMBASE, CINAHL, and Cochrane databases (1966-April 2011) were searched. Studies were included if they used DTI region of interest or tractography techniques to compare mean cerebral corticospinal tract fractional anisotropy values between ALS subjects and healthy controls. Corresponding authors from the identified articles were contacted to collect individual patient data. IPD meta-analysis and meta-regression were performed using Stata. Meta-regression covariate analysis included age, gender, disease duration, and Revised Amyotrophic Lateral Sclerosis Functional Rating Scale scores. Results: Of 30 identified studies, 11 corresponding authors provided IPD and 221 ALS patients and 187 healthy control subjects were available for study. Pooled area under the receiver operating characteristic curve (AUC) was 0.75 (95% CI: 0.66-0.83), pooled sensitivity was 0.68 (95% CI: 0.62-0.75), and pooled specificity was 0.73 (95% CI: 0.66-0.80). Meta-regression showed no significant differences in pooled AUC for each of the covariates. There was moderate to high heterogeneity of pooled AUC estimates. Study quality was generally high. Data from 19 of the 30 eligible studies were not ascertained, raising possibility of selection bias. Conclusion: Using corticospinal tract individual patient data, the diagnostic accuracy of DTI appears to lack sufficient discrimination in isolation. Additional research efforts and a multimodal approach that also includes ALS mimics will be required to make neuroimaging a critical component in the workup of ALS.

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