Szczegóły publikacji

Opis bibliograficzny

Diffusion tensor imaging metrics as natural markers of multiple sclerosis-induced brain disorders with a low Expanded Disability Status Scale score / Artur Tadeusz KRZYŻAK, Julia LASEK, Zofia SCHNEIDER, Marcin Wnuk, Amira Bryll, Tadeusz Popiela, Agnieszka Słowik // NeuroImage ; ISSN 1053-8119. — 2024 — vol. 290 art. no. 120567, s. 1–10. — Bibliogr. s. 9–10, Abstr. — Publikacja dostępna online od: 2024-03-11

Autorzy (7)

Słowa kluczowe

diffusion tensor imaginghealthy controlexpanded disability status scaleb matrix spatial distributionmultiple sclerosisdiffusion tensor metrics

Dane bibliometryczne

ID BaDAP153622
Data dodania do BaDAP2024-06-17
Tekst źródłowyURL
DOI10.1016/j.neuroimage.2024.120567
Rok publikacji2024
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaNeuroImage

Abstract

Non-invasive and effective differentiation along with determining the degree of deviations compared to the healthy cohort is important in the case of various brain disorders, including multiple sclerosis (MS). Evaluation of the effectiveness of diffusion tensor metrics (DTM) in 3T DTI for recording MS-related deviations was performed using a time-acceptable MRI protocol with unique comprehensive detection of systematic errors related to spatial heterogeneity of magnetic field gradients. In a clinical study, DTMs were acquired in segmented regions of interest (ROIs) for 50 randomly selected healthy controls (HC) and 50 multiple sclerosis patients. Identical phantom imaging was performed for each clinical measurement to estimate and remove the influence of systematic errors using the b-matrix spatial distribution in the DTI (BSD-DTI) technique. In the absence of statistically significant differences due to age in healthy volunteers and patients with multiple sclerosis, the existence of significant differences between groups was proven using DTM. Moreover, a statistically significant impact of spatial systematic errors occurs for all ROIs and DTMs in the phantom and for approximately 90 % in the HC and MS groups. In the case of a single patient measurement, this appears for all the examined ROIs and DTMs. The obtained DTMs effectively discriminate healthy volunteers from multiple sclerosis patients with a low mean score on the Expanded Disability Status Scale. The magnitude of the group differences is typically significant, with an effect size of approximately 0.5, and similar in both the standard approach and after elimination of systematic errors. Differences were also observed between metrics obtained using these two approaches. Despite a small alterations in mean DTMs values for groups and ROIs (1–3 %), these differences were characterized by a huge effect (effect size ∼0.8 or more). These findings indicate the importance of determining the spatial distribution of systematic errors specific to each MR scanner and DTI acquisition protocol in order to assess their impact on DTM in the ROIs examined. This is crucial to establish accurate DTM values for both individual patients and mean values for a healthy population as a reference. This approach allows for an initial reliable diagnosis based on DTI metrics. © 2024 The Author(s)

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Diagnostic performance of a multi-shell DTI protocol and its subsets with B-matrix spatial distribution correction in differentiating early multiple sclerosis patients from healthy controls / Artur Tadeusz KRZYŻAK, Julia LASEK, Agnieszka Słowik // Frontiers in Neurology [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1664-2295. — 2025 — vol. 16 art. no. 1618582, s. 1–9. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 9, Abstr. — Publikacja dostępna online od: 2025-07-28. — A. T. Krzyżak, J. Lasek - dod. afiliacja: The LaTiS NMR - Tomography and Spectroscopy Laboratory, Kraków, Poland