Evidence map›Paper›PMID 36702504›Full record

ArticleAJNR. American journal of neuroradiology2023

Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.

C Tsagkas, A Horvath-Huck, T Haas, M Amann, A Todea, A Altermatt, J Müller, A Cagol, M Leimbacher, M Barakovic and 8 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

18 authors at 5 institutions in 6 countries.

C TsagkasFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering charidimos.tsagkas@usb.ch.ORCID 0000-0002-2586-6316
A Horvath-HuckDepartment of Biomedical Engineering (A.H.-H., M.A., A.C., M.B., M.W., S.P., O.B., C.G., P.C.), University of Basel, Allschwil, Switzerland charidimos.tsagkas@usb.ch.ORCID 0000-0002-3908-7049
T HaasDepartment of Medicine and Biomedical Engineering; Division of Radiological Physics (T.H., M.W., O.B.).ORCID 0000-0003-3287-3378
M AmannFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering.ORCID 0000-0001-8041-4083
A TodeaTranslational Imaging in Neurology Basel (C.T., A.T., J.M., A.C., M.B., M.W., C.G., K.P.).ORCID 0000-0003-4650-8312
A AltermattMedical Image Analysis Center AG (M.A., A.A.), Basel, Switzerland.ORCID 0000-0001-6397-0758
J MüllerFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering.ORCID 0000-0003-1394-8231
A CagolTranslational Imaging in Neurology Basel (C.T., A.T., J.M., A.C., M.B., M.W., C.G., K.P.).ORCID 0000-0002-7703-0553
M LeimbacherMedical Faculty (M.L., P.C.), University of Basel, Basel, Switzerland.ORCID 0000-0002-9079-5913
M BarakovicTranslational Imaging in Neurology Basel (C.T., A.T., J.M., A.C., M.B., M.W., C.G., K.P.).ORCID 0000-0001-8557-9223
M WeigelFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering.ORCID 0000-0002-4910-1414
S PezoldDepartment of Biomedical Engineering (A.H.-H., M.A., A.C., M.B., M.W., S.P., O.B., C.G., P.C.), University of Basel, Allschwil, Switzerland.ORCID 0000-0002-4998-8983
T SprengerFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering.ORCID 0000-0002-5390-819X
L KapposFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering.ORCID 0000-0003-4175-5509
O BieriDepartment of Medicine and Biomedical Engineering; Division of Radiological Physics (T.H., M.W., O.B.).ORCID 0000-0002-6755-5495
C GranzieraFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering.ORCID 0000-0002-4917-8761
P CattinDepartment of Biomedical Engineering (A.H.-H., M.A., A.C., M.B., M.W., S.P., O.B., C.G., P.C.), University of Basel, Allschwil, Switzerland.ORCID 0000-0001-8785-2713
K ParmarFrom the Neurologic Clinic and Policlinic, Departments of Medicine (C.T., M.A., J.M., M.W., T.S., L.K., C.G., K.P.), Clinical Research and Biomedical Engineering.ORCID 0000-0002-4251-6238
University of Basel · CHMahindra and Mahindra Limited (India) · INCentre d'Imagerie BioMedicale · CHCentre for Biomedical Engineering and Physics · SEHelios Dr. Horst Schmidt Kliniken Wiesbaden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeFully automatic quantification methods of spinal cord compartments are needed to study pathologic changes of the spinal cord GM and WM in MS in vivo. We propose a novel method for automatic spinal cord compartment segmentation (SCORE) in patients with MS. MATERIALS AND

methodsThe cervical spinal cords of 24 patients with MS and 24 sex- and age-matched healthy controls were scanned on a 3T MR imaging system, including an averaged magnetization inversion recovery acquisition sequence. Three experienced raters manually segmented the spinal cord GM and WM, anterior and posterior horns, gray commissure, and MS lesions. Subsequently, manual segmentations were used to train neural segmentation networks of spinal cord compartments with multidimensional gated recurrent units in a 3-fold cross-validation fashion. Total intracranial volumes were quantified using FreeSurfer.

resultsThe intra- and intersession reproducibility of SCORE was high in all spinal cord compartments (eg, mean relative SD of GM and WM: ≤ 3.50% and ≤1.47%, respectively) and was better than manual segmentations (all

conclusionsWe demonstrate a novel, reliable quantification method for spinal cord tissue segmentation in healthy controls and patients with MS and other neurologic disorders affecting the spinal cord. Patients with MS have reduced areas in specific spinal cord tissue compartments, which may be used as MS biomarkers.

Indexed as

Multiple SclerosisGray MatterHumansMagnetic Resonance ImagingReproducibility of ResultsSpinal Cord

Identifiers

PMID36702504
PMCPMC9891337
OpenAlexW4318071577

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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.