A diagnostic index based on quantitative susceptibility mapping and voxel-based morphometry may improve early diagnosis of Alzheimer's disease.

Autor: Sato R; Innovative Technology Laboratory, FUJIFILM Healthcare Corporation, Tokyo, Japan. ryota.sato.bt@fujifilm.com.; Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan. ryota.sato.bt@fujifilm.com., Kudo K; Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan., Udo N; Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan., Matsushima M; Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan., Yabe I; Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan., Yamaguchi A; Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan., Tha KK; Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Sapporo, Hokkaido, Japan., Sasaki M; Institute for Biomedical Sciences, Iwate Medical University, Morioka, Iwate, Japan., Harada M; Department of Radiology, Tokushima University, Tokushima, Japan., Matsukawa N; Department of Neurology, Nagoya City University, Nagoya, Aichi, Japan., Amemiya T; Innovative Technology Laboratory, FUJIFILM Healthcare Corporation, Tokyo, Japan., Kawata Y; Radiation Diagnostic Systems Division, FUJIFILM Healthcare Corporation, Tokyo, Japan., Bito Y; Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan.; Radiation Diagnostic Systems Division, FUJIFILM Healthcare Corporation, Tokyo, Japan., Ochi H; Innovative Technology Laboratory, FUJIFILM Healthcare Corporation, Tokyo, Japan.; Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan., Shirai T; Innovative Technology Laboratory, FUJIFILM Healthcare Corporation, Tokyo, Japan.; Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Hokkaido, Japan.
Jazyk: angličtina
Zdroj: European radiology [Eur Radiol] 2022 Jul; Vol. 32 (7), pp. 4479-4488. Date of Electronic Publication: 2022 Feb 08.
DOI: 10.1007/s00330-022-08547-3
Abstrakt: Objectives: Voxel-based morphometry (VBM) is widely used to quantify the progression of Alzheimer's disease (AD), but improvement is still needed for accurate early diagnosis. We evaluated the feasibility of a novel diagnosis index for early diagnosis of AD based on quantitative susceptibility mapping (QSM) and VBM.
Methods: Thirty-seven patients with AD, 24 patients with mild cognitive impairment (MCI) due to AD, and 36 cognitively normal (NC) subjects from four centers were included. A hybrid sequence was performed by using 3-T MRI with a 3D multi-echo GRE sequence to obtain both a T1-weighted image for VBM and phase images for QSM. The index was calculated from specific voxels in QSM and VBM images by using a linear support vector machine. The method of voxel extraction was optimized to maximize diagnostic accuracy, and the optimized index was compared with the conventional VBM-based index using receiver operating characteristic analysis.
Results: The index was optimal when voxels were extracted as increased susceptibility (AD > NC) in the parietal lobe and decreased gray matter volume (AD < NC) in the limbic system. The optimized proposed index showed excellent performance for discrimination between AD and NC (AUC = 0.94, p = 1.1 × 10 -10 ) and good performance for MCI and NC (AUC = 0.87, p = 1.8 × 10 -6 ), but poor performance for AD and MCI (AUC = 0.68, p = 0.018). Compared with the conventional index, AUCs were improved for all cases, especially for MCI and NC (p < 0.05).
Conclusions: In this preliminary study, the proposed index based on QSM and VBM improved the diagnostic performance between MCI and NC groups compared with the VBM-based index.
Key Points: • We developed a novel diagnostic index for Alzheimer's disease based on quantitative susceptibility mapping (QSM) and voxel-based morphometry (VBM). • QSM and VBM images can be acquired simultaneously in a single sequence with little increasing scan time. • In this preliminary study, the proposed diagnostic index improved the discriminative performance between mild cognitive impairment and normal control groups compared with the conventional VBM-based index.
(© 2022. The Author(s), under exclusive licence to European Society of Radiology.)
Databáze: MEDLINE
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