Evidence map›Paper›PMID 34875458›Full record

Observational studyNeuroImage. Clinical2022

Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique.

Carmen Tur, Francesco Grussu, Floriana De Angelis, Ferran Prados, Baris Kanber, Alberto Calvi, Arman Eshaghi, Thalis Charalambous, Rosa Cortese, Declan T Chard and 4 more

2 registry-linked trialsOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT00647348 phase2completednot on this map

A Phase II Randomised, Placebo-controlled Clinical Trial of Simvastatin in Patients With Secondary Progressive Multiple Sclerosis.

TypeinterventionalSponsorImperial College LondonRan2008 to 2011Enrolled140ConditionsSecondary Progressive Multiple SclerosisArmsSimvastatin, Placebo
NCT01910259 phase2completednot on this map

A Multi-arm Phase IIB Randomised, Double Blind Placebo-controlled Clinical Trial Comparing the Efficacy of Three Neuroprotective Drugs in Secondary Progressive Multiple Sclerosis.

TypeinterventionalSponsorUniversity College, LondonRan2014 to 2018Enrolled445ConditionsSecondary Progressive Multiple SclerosisArmsAmiloride, Riluzole, Fluoxetine, Placebo
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 3 countries.

Carmen TurNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; MS Centre of Catalonia (Cemcat), Vall d'Hebron Institute of Research, Vall d'Hebron Barcelona Hospital Campus, Spain. Electronic address: c.tur@ucl.ac.uk.
Francesco GrussuNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
Floriana De AngelisNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK.
Ferran PradosNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Centre for Medical Image Computing, Medical Physics and Biomedical Engineering Department, University College London, UK; e-Health Center, Universitat Oberta de Catalunya, Spain.
Baris KanberCentre for Medical Image Computing, Medical Physics and Biomedical Engineering Department, University College London, UK.
Alberto CalviNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK.
Arman EshaghiNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
Thalis CharalambousNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK.
Rosa CorteseNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK.
Declan T ChardNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK.
Jeremy ChatawayNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK.
Alan J ThompsonNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK.
Olga CiccarelliNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, UK.
Claudia A M Gandini Wheeler-KingshottNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, UK; Department of Brain and Behavioural Sciences, University of Pavia, Italy; Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy. Electronic address: c.wheeler-kingshott@ucl.ac.uk.
University College London · GBNational Hospital for Neurology and Neurosurgery · GBUniversity of Pavia · ITVall d'Hebron Hospital Universitari · ESVall d'Hebron Institute of Oncology

Funding

Medical Research Council MC_PC_13089Medical Research Council MR/T046422/1
6 · The paper itself

Abstract

Predicting disability in progressive multiple sclerosis (MS) is extremely challenging. Although there is some evidence that the spatial distribution of white matter (WM) lesions may play a role in disability accumulation, the lack of well-established quantitative metrics that characterise these aspects of MS pathology makes it difficult to assess their relevance for clinical progression. This study introduces a novel approach, called SPACE-MS, to quantitatively characterise spatial distributional features of brain MS lesions, so that these can be assessed as predictors of disability accumulation. In SPACE-MS, the covariance matrix of the spatial positions of each patient's lesional voxels is computed and its eigenvalues extracted. These are combined to derive rotationally-invariant metrics known to be common and robust descriptors of ellipsoid shape such as anisotropy, planarity and sphericity. Additionally, SPACE-MS metrics include a neuraxis caudality index, which we defined for the whole-brain lesion mask as well as for the most caudal brain lesion. These indicate how distant from the supplementary motor cortex (along the neuraxis) the whole-brain mask or the most caudal brain lesions are. We applied SPACE-MS to data from 515 patients involved in three studies: the MS-SMART (NCT01910259) and MS-STAT1 (NCT00647348) secondary progressive MS trials, and an observational study of primary and secondary progressive MS. Patients were assessed on motor and cognitive disability scales and underwent structural brain MRI (1.5/3.0 T), at baseline and after 2 years. The MRI protocol included 3DT1-weighted (1x1x1mm

Indexed as

Multiple SclerosisMultiple Sclerosis, Chronic ProgressiveWhite MatterBrainHumansMagnetic Resonance ImagingAnisotropyCaudalityLesion spatial distributionMagnetic resonance imagingMultiple sclerosisSPACE-MS

Identifiers

PMID34875458
PMCPMC8654632
OpenAlexW3215459037

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.