Evidence map›Paper›PMID 41255812›Full record

ArticleJournal of clinical practice and research2023

Comparison of T2W FLAIR Images of Patients with Multiple Sclerosis and Ischemic Gliosis via Histogram Analysis.

Murat Baykara, Mustafa Yıldırım, İsmail Taşkent, Hanefi Yıldırım, Duran Tavut

Abstract read
In one paragraph

Article in Journal of clinical practice and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Murat BaykaraDepartment of Radiology, Fırat University Faculty of Medicine, Elazığ, Türkiye.
Mustafa YıldırımDepartment of Radilogy, University of Health Sciences, Elazığ Fethi Sekin City Hospital, Elazığ, Türkiye.
İsmail TaşkentDepartment of Radiology, Muş State Hospital, Muş, Türkiye.
Hanefi YıldırımDepartment of Radiology, Fırat University Faculty of Medicine, Elazığ, Türkiye.
Duran TavutDepartment of Radilogy, University of Health Sciences, Elazığ Fethi Sekin City Hospital, Elazığ, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In some cases, it may be challenging to differentiate radiologically between ischemic gliotic foci and multiple sclerosis (MS) plaques. This study aims to evaluate the effectiveness of histogram analysis in the differentiation of MS plaque and ischemic gliosis lesions on the T2-weighted (T2WI) FLAIR sequence. Materials and Methods: This study was conducted on the Magnetic Resonance Imaging (MRI) examinations of patients diagnosed with ischemic gliosis and multiple sclerosis. Inactive lesions of 43 patients with ischemic gliosis and 46 with multiple sclerosis imaged by the same device were included in the study. Histogram analysis parameters of both groups were calculated. The entire image analysis algorithm was obtained through in-house software coded in MATLAB. Both groups were compared using a student's t-test. The diagnostic value of the parameters was detected with the receiver operating characteristic (ROC) curve. Results: Mean gray level intensity, the standard deviation of the histogram, and entropy values calculated via minimum, maximum and median values were significantly higher in patients with ischemic gliosis. ROC curve analysis indicated that a threshold value of 545.19 for mean gray level intensity has 69.8% specificity and 69.6% sensitivity. Conclusion: Histogram analysis may help differentiate MS and ischemic gliosis.

Indexed as

gliosishistogram analysisımage processingMRIMultiple Sclerosis

Identifiers

PMID41255812
PMCPMC12478776

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