Evidence map›Paper›PMID 39722699›Full record

ArticleFrontiers in neurology2024

Cranial volume measurement with artificial intelligence and cognitive scales in patients with clinically isolated syndrome.

Özlem Albuz, Ibrahim Acir, Ozan Haşimoğlu, Melis Suskun, Elif Hocaoğlu, Vildan Yayla

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. 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
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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.

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

6 authors.

Özlem AlbuzBakırköy Dr. Sadi Konuk Eğitim ve Araştırma Hastanesi, Istanbul, Türkiye.
Ibrahim AcirBakırköy Dr. Sadi Konuk Eğitim ve Araştırma Hastanesi, Istanbul, Türkiye.
Ozan HaşimoğluBasaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.
Melis SuskunBakırköy Dr. Sadi Konuk Eğitim ve Araştırma Hastanesi, Istanbul, Türkiye.
Elif HocaoğluBakırköy Dr. Sadi Konuk Eğitim ve Araştırma Hastanesi, Istanbul, Türkiye.
Vildan YaylaBakırköy Dr. Sadi Konuk Eğitim ve Araştırma Hastanesi, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to investigate the relationship between volumetric measurements of specific brain regions which were measured with artificial intelligence (AI) and various neuropsychological tests in patients with clinically isolated syndrome. Materials and methods: A total of 28 patients diagnosed with CIS were included in the study. The patients were administered Öktem Verbal Memory Processes Test, Symbol Digit Modalities Test (SDMT), Backward-Forward Digit Span Test, Stroop Test, Trail Making Test, Controlled Oral Word Association Test (COWAT), Brief Visuospatial Memory Test, Judgement of Line Orientation Test, Beck Depression Scale, Beck Anxiety Scale and Fatigue Severity Scale. Artificial intelligence assisted BrainLab Elements Results: Of the patients included in the study, 78.6% were female and 21.4% were male, with an average age of 33 years. Verbal Memory Processes Test, SDMT, Backward-Forward Digit Span, JLOT, and Stroop Test showed significant correlations with multiple anatomical regions, particularly the anterior thalamic nucleus, which was associated with the highest number of cognitive tests. The JLOT exhibited the strongest correlation with six different brain regions ( Conclusion: The Judgement of Line Orientation and Stroop Tests, correlated with multiple brain regions, especially the anterior thalamic nucleus, underscoring the importance of these tests in assessing cognitive function in CIS.

Indexed as

artificial intelligenceBrainLabbrain volume analysisclinically isolated syndromemultiple sclerosis

Identifiers

PMID39722699
PMCPMC11668644

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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.