SynthesisAcademic radiology2012
Diagnostic accuracy using diffusion tensor imaging in the diagnosis of ALS: a meta-analysis.
Synthesis in Academic radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- 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.European radiology · 2019Pooled it
- Diagnostic accuracy of diffusion tensor imaging in amyotrophic lateral sclerosis: a systematic review and individual patient data meta-analysis.Academic radiology · 2013Pooled it
- Voxel-mirrored homotopic connectivity in upper motor neuron-dominant amyotrophic lateral sclerosis is associated with different spread directions.Brain imaging and behavior · 2026Article
- Identifying amyotrophic lateral sclerosis using diffusion tensor imaging, and correlation with neurofilament markers.Scientific reports · 2024Article
- Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development.International journal of molecular sciences · 2023Review
- MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging.Journal of magnetic resonance imaging : JMRI · 2020Review
- ALS blood expression profiling identifies new biomarkers, patient subgroups, and evidence for neutrophilia and hypoxia.Journal of translational medicine · 2019Article
- Beyond fractional anisotropy in amyotrophic lateral sclerosis: the value of mean, axial, and radial diffusivity and its correlation with electrophysiological conductivity changes.Neuroradiology · 2018Article
- Emerging Magnetic Resonance Imaging Techniques and Analysis Methods in Amyotrophic Lateral Sclerosis.Frontiers in neurology · 2018Review
- Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis.Frontiers in neuroscience · 2018Review
- Quantitative FLAIR MRI in Amyotrophic Lateral Sclerosis.Academic radiology · 2017Article
- Structural explanation of poor prognosis of amyotrophic lateral sclerosis in the non-demented state.European journal of neurology · 2017Article
- Neuroimaging Endpoints in Amyotrophic Lateral Sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017Review
- Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres.NeuroImage · 2015Article
- What does imaging reveal about the pathology of amyotrophic lateral sclerosis?Current neurology and neuroscience reports · 2015Review
- Neuroimaging as a New Diagnostic Modality in Amyotrophic Lateral Sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2015Review
- Diffusion tensor MRI of the corpus callosum in amyotrophic lateral sclerosis.Journal of magnetic resonance imaging : JMRI · 2014Article
- Diffusion tensor imaging in amyotrophic lateral sclerosis--increased sensitivity with optimized region-of-interest delineation.Clinical neuroradiology · 2014Article
- Multimodal MRI as a diagnostic biomarker for amyotrophic lateral sclerosis.Annals of clinical and translational neurology · 2014Article
- The extracellular domain of neurotrophin receptor p75 as a candidate biomarker for amyotrophic lateral sclerosis.PloS one · 2014Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
RATIONALE AND
objectivesA 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
methodsWe 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.
resultsThe 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.
conclusionThe 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.
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Registered trials
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