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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Multiple Sclerosis and Neuroimmunology
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1500140
This article is part of the Research Topic Use of Big Data and Artificial Intelligence in Multiple Sclerosis View all 4 articles

Cranial Volume Measurement with Artificial Intelligence and Cognitive Scales in Patients with Clinically Isolated Syndrome

Provisionally accepted
Özlem Albuz Özlem Albuz 1Ibrahim ACIR Ibrahim ACIR 1*Ozan Haşimoğlu Ozan Haşimoğlu 2Melis Suskun Melis Suskun 1Elif Hocaoğlu Elif Hocaoğlu 1Vildan Yayla Vildan Yayla 1
  • 1 Bakırköy Dr.Sadi Konuk Eğitim ve Araştırma Hastanesi, Istanbul, Türkiye
  • 2 Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye

The final, formatted version of the article will be published soon.

    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™ Atlas-Based Automatic Segmentation program was used for calculating volumes. The measured volumes were compared with the reference database. In addition, neuropsychological test performances and volumetric measurements of the patients were compared. 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 (p<0.001).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.

    Keywords: Multiple Sclerosis, clinically isolated syndrome, artificial intelligence, Brainlab, Brain volume analysis

    Received: 22 Sep 2024; Accepted: 29 Nov 2024.

    Copyright: © 2024 Albuz, ACIR, Haşimoğlu, Suskun, Hocaoğlu and Yayla. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ibrahim ACIR, Bakırköy Dr.Sadi Konuk Eğitim ve Araştırma Hastanesi, Istanbul, Türkiye

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.