著者

斎藤 勇哉 Peter A. Wijeratne 鎌形 康司 Christina Andica 内田 航 明石 俊昭 和田 昭彦 堀 正明 青木 茂樹

出版者

日本磁気共鳴医学会

雑誌

日本磁気共鳴医学会雑誌 (ISSN:09149457)

巻号頁・発行日

pp.2023-1790, (Released:2023-05-25)

参考文献数

28

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Corticobasal syndrome (CBS) and progressive supranuclear palsy (PSP) are sporadic atypical parkinsonian disorders associated with 4-repeat tauopathies. These neurodegenerative conditions closely overlap in their clinical information, pathology, and genetic risk factors ; therefore, it is difficult to accurately diagnose CBS and PSP. Recently, an unsupervised machine-learning technique, called Subtype and Stage Inference (SuStaIn), has been proposed to reveal the data-driven disease phenotypes with distinct temporal progression patterns from widely available cross-sectional data. To clarify the differences in the temporal white matter (WM) degeneration patterns between CBS and PSP, this study applied SuStaIn for fractional anisotropy (FA) in regional WM, which was sensitive to WM degeneration, based on cross-sectional brain diffusion MRI (dMRI) data. We obtained dMRI data from 15 healthy controls, 26 patients with CBS, and 25 patients with PSP. FA was calculated after fitting the diffusion tensor model to the corrected dMRI data for susceptibility and eddy-current induced geometric distortions and inter-volume subject motion. SuStaIn was applied to the cross-sectional regional WM tract FAs to identify both the disease subtypes and their trajectories with distinct WM degeneration patterns. To assess the performance of SuStaIn, the classification accuracy and sensitivity for CBS and PSP were calculated. SuStaIn revealed that the CBS degeneration started from the fornix and stria terminalis (FSTs) and corpus callosum (CC), followed by the posterior corona radiata (PCR), posterior thalamic radiation (PTR), and cerebral peduncle (CP), and subsequently extended to the cingulum. Finally, it reached the superior cerebral peduncle (SCP) and corticospinal tract (CST). In contrast, the PSP degeneration started from the SCP and cingulum, followed by the CST, and subsequently extended to the FST and CC. Eventually, it reached the PCR, PTR, and CP. Accordingly, SuStaIn classified CBS and PSP with 0.863 accuracy (sensitivity : CBS, 0.885 ; PSP, 0.840). The results suggested the utility of SuStaIn for classifying patients with CBS and PSP and identifying temporal WM degeneration patterns in patients with CBS and PSP.

著者

齊藤 麻美 萩原 彰文 鎌形 康司 Andica Christina 青木 茂樹

出版者

日本神経治療学会

雑誌

神経治療学 (ISSN:09168443)

巻号頁・発行日

vol.35, no.3, pp.167-171, 2018 (Released:2018-12-25)

参考文献数

9

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Human brain MR imaging has made remarkable advances since the 1970s with many improvements in imaging technologies, such as shorter scanning methods and the use of higher magnetic fields.A quantitative MRI (qMRI) method with QRAPMASTER (quantification method using quantification of relaxation times and proton density by multi–echo acquisition of saturation–recovery using turbo spin–echo readout) pulse sequence, or well known as synthetic MRI (synthetic MR AB, Linköping, Sweden), enables simultaneous quantification of T1 and T2 relaxation rates, and proton density (PD) in a clinically acceptable time. Based on these quantitative values and with dedicated post–processing software, it is possible to obtain any contrast weighted images, such as T1–weighted, T2–weighted and inversion recovery images, automated brain segmentation and myelin measurement. In addition, axon volume fraction and g–ratio can also be estimated by combining this method and neurite orientation dispersion and density imaging (NODDI). Here, we provide an overview of synthetic MRI in brain diseases, such as Sturge–Weber syndrome and multiple sclerosis.Diffusion MRI has also shown many developments in the last 40 years since its development. One of the advanced diffusion MRI techniques called Oscillating gradient spin–echo (OGSE) was proposed recently. With OGSE it is possible to reduce the diffusion time compare to conventional diffusion MRI technique. Therefore, OGSE has the potential to distinguish between spatial and viscous restriction. In this article, we show the use of OGSE in epidermoid cyst and acute brain infarction cases.