Evidence map›Paper›PMID 37638198›Full record

ArticleFrontiers in neurology2023

Distinct characteristics and severity of brain magnetic resonance imaging lesions in women and men with multiple sclerosis assessed using verified texture analysis measures.

Zahra Hosseinpour, Olayinka Oladosu, Wei-Qiao Liu, G Bruce Pike, V Wee Yong, Luanne M Metz, Yunyan Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Zahra HosseinpourDepartment of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.
Olayinka OladosuDepartment of Neuroscience, Faculty of Graduate Studies, University of Calgary, Calgary, AB, Canada.
Wei-Qiao LiuDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
G Bruce PikeDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
V Wee YongDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
Luanne M MetzDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
Yunyan ZhangDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and goal: Method: Texture analysis used an optimized gray-level co-occurrence matrix (GLCM) method based on FLAIR MRI from 200 relapsing-remitting MS participants. Two top-performing metrics were calculated: texture contrast and dissimilarity. Lesion identification applied a percentile approach according to texture values calculated: ≤ 25 percentile for hREM and ≥75 percentile for sDEM. Results: The sDEM had a greater total normalized volume yet smaller average size, and worse MRI texture than hREM. In lesion distribution mapping, the two lesion types appeared to overlap largely in location and were present the most in the corpus callosum and periventricular regions. Further, in sDEM, the normalized volume was greater and in hREM, the average size was smaller in men than women. There were no other significant results in clinical variable-associated analyses. Conclusion: Percentile statistics of competitive MRI texture measures may be a promising method for probing select types of brain MS lesion pathology. Associated findings can provide another useful dimension for improved measurement and monitoring of disease activity in MS. The different characteristics of sDEM and hREM between men and women likely adds new information to the literature, deserving further confirmation.

Indexed as

brain MRIgray-level co-occurrence matrixlesion severitymultiple sclerosispercentile thresholdingsex differencetexture analysis

Identifiers

PMID37638198
PMCPMC10449451
OpenAlexW4385718302

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.