SynthesisNeuroradiology2023
Commercial volumetric MRI reporting tools in multiple sclerosis: a systematic review of the evidence.
Synthesis in Neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Expert Panel Consensus Guidelines of the German Society of Neuroradiology on the Use of Magnetic Resonance Imaging in the Diagnosis and Monitoring of Multiple Sclerosis.Clinical neuroradiology · 2026Guideline
- Spinal cord imaging in multiple sclerosis: from diagnosis to disease progression.Journal of neurology · 2026Review
- Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.Scientific reports · 2026Article
- An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.Neuroradiology · 2026Article
- The relationship between objective and subjective cognitive performance and clinical and MRI disease burden in early multiple sclerosis.Scientific reports · 2026Article
- The role of neuroimaging in neurotoxicity after chimeric antigen receptor T-cell therapy.Therapeutic advances in neurological disorders · 2026Review
- Prospective clinical evaluation of automatic lesion assessment in patients with multiple sclerosis.Neuroradiology · 2025Article
- User requirements for quantitative radiological reports in multiple sclerosis.European radiology · 2025Article
- Advancing MS care: Are QReports the next leap in imaging?European radiology · 2025Article
- Scan-rescan reliability assessment of brain volumetric analysis across scanners and software solutions.Scientific reports · 2025Article
- Multiple Sclerosis-Specific Reference Curves for Brain Volumes to Explain Disease Severity.Neurology · 2025Observational
- Machine learning integration of MRI and gait reveals mobility phenotypes in multiple sclerosis.Brain communications · 2025Article
- AI-driven MRI analysis reveals brain atrophy patterns in benign relapsing-remitting multiple sclerosis.Frontiers in neurology · 2025Article
- Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis.The Lancet regional health. Europe · 2024Review
- Artificial Intelligence and Multiple Sclerosis.Current neurology and neuroscience reports · 2024Review
- The new era of artificial intelligence in neuroradiology: current research and promising tools.Arquivos de neuro-psiquiatria · 2024Article
- Changes in MRI Workflow of Multiple Sclerosis after Introduction of an AI-Software: A Qualitative Study.Healthcare (Basel, Switzerland) · 2024Article
- Perceptual super-resolution in multiple sclerosis MRI.Frontiers in neuroscience · 2024Article
- Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods.NeuroImage. Clinical · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMRI is integral to the diagnosis of multiple sclerosis (MS) and is important for clinical prognostication. Quantitative volumetric reporting tools (QReports) can improve the accuracy and objectivity of MRI-based assessments. Several QReports are commercially available; however, validation can be difficult to establish and does not currently follow a common pathway. To aid evidence-based clinical decision-making, we performed a systematic review of commercial QReports for use in MS including technical details and published reports of validation and in-use evaluation.
methodsWe categorized studies into three types of testing: technical validation, for example, comparison to manual segmentation, clinical validation by clinicians or interpretation of results alongside clinician-rated variables, and in-use evaluation, such as health economic assessment.
resultsWe identified 10 companies, which provide MS lesion and brain segmentation and volume quantification, and 38 relevant publications. Tools received regulatory approval between 2006 and 2020, contextualize results to normative reference populations, ranging from 620 to 8000 subjects, and require T1- and T2-FLAIR-weighted input sequences for longitudinal assessment of whole-brain volume and lesions. In MS, six QReports provided evidence of technical validation, four companies have conducted clinical validation by correlating results with clinical variables, only one has tested their QReport by clinician end-users, and one has performed a simulated in-use socioeconomic evaluation.
conclusionWe conclude that there is limited evidence in the literature regarding clinical validation and in-use evaluation of commercial MS QReports with a particular lack of clinician end-user testing. Our systematic review provides clinicians and institutions with the available evidence when considering adopting a quantitative reporting tool for MS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.