Data · dataset · 2024
Accurate multiple sclerosis atrophy measurement system
Listed in IISH Dataverse
Brain atrophy is recognized as a key component of multiple sclerosis (MS) but its reliable measurement at the individual level remains challenging.
Description
Besides physiological variability, differences between MRI scanners and acquisition methods are particular hurdles to reliably measure within-patient brain volume changes longitudinally. There is inconsistency between atrophy measurements of a patient scanned using different MR systems or at the same system but using different measurement (i.e., image acquisition) methods.
This inconsistency decreases the statistical power in multi-center studies and hampers the use of atrophy measurements in personalized diagnosis, prognosis and treatment of the MS patients. This dataset contained 30 pwMS and 10 HC to validate a new standardization method to reliably measure atrophy across scanners and acquisition methods. After this validation, data from MS patients across the world can be accumulated and combined into a reference database that can be used.
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Participants had a scan and rescan on three different MR scanners
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FDNQT2S ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/dnqt2s ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FDNQT… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Image 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/DNQT2S | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mri | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |