Evidence map›Paper›PMID 41973103›Full record

ArticleNeuroradiology2026

3D quantitative synthetic MRI for assessing Alzheimer's clinical syndrome, subjective cognitive impairment, and mild cognitive impairment.

Shimpei Kato, Akifumi Hagiwara, Shohei Fujita, Wataru Uchida, Koji Kamagata, Toshihiro Furuta, Hiroyuki Akai, Osamu Abe, Yumiko Motoi, Nobutaka Hattori and 1 more

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Article in Neuroradiology, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shimpei KatoDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Akifumi HagiwaraDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan. a-hagiwara@juntendo.ac.jp.
Shohei FujitaDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Wataru UchidaDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Koji KamagataDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Toshihiro FurutaDepartment of Radiology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Hiroyuki AkaiDepartment of Radiology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Osamu AbeDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yumiko MotoiDepartment of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
Nobutaka HattoriDepartment of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
Shigeki AokiDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

Funding

Fusion Oriented REsearch for disruptive Science and Technology JPMJFR231PJapan Agency for Medical Research and Development JP24wm0625310Japan Agency for Medical Research and Development, Japan JP19dm0307101Japan Society for the Promotion of Science 20K20185Japan Society for the Promotion of Science 23K07189Japan Society for the Promotion of Science 23K27556
6 · The paper itself

Abstract

purposeFor Alzheimer's Clinical Syndrome (ACS) and early cognitive decline (mild and subjective cognitive impairment, MCI/SCI), we used three-dimensional (3D) quantitative synthetic magnetic resonance imaging (MRI) with an interleaved Look-Locker acquisition sequence and a T2 preparation pulse (QALAS), which can acquire quantitative parameters in a single scan, to investigate the potential of quantitative parameters to add supplemental information to the structural imaging.

methodsTwenty-four ACS patients, 19 patients with MCI/SCI, and 24 age- and sex-matched healthy controls (HCs) underwent MRI. The differences in longitudinal relaxation time (qT1), transverse relaxation time (qT2), proton density (PD), myelin volume fraction (MVF), and gray matter volume among the groups were evaluated using voxel-based quantification (VBQ) and voxel-based morphometry (VBM). Logistic regression analyses were developed to distinguish between the ACS, MCI/SCI, and HC groups.

resultsIn the VBM and VBQ analyses, patients with ACS had significantly lower gray matter volume and MVF and higher qT1, qT2, and PD compared to the HC group. Compared to VBM, VBQ analysis identified broader areas of significance specifically in the insula and cerebellum vermis, known to atrophy as the disease progresses. Subtle differences in PD and MVF were observed between MCI/SCI and HC groups, and the AUC was significantly higher when the quantitative measures obtained with 3D-QALAS were combined than when logistic regression was performed with the brain volume alone (quantitative measures and volume: 0.79; volume: 0.58; p = 0.034).

conclusions3D-QALAS integrates quantitative relaxometry and myelin-sensitive metrics reflecting water content and myelin integrity with structural information.

Indexed as

Alzheimer DiseaseBrainCognitive DysfunctionImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAgedFemaleHumansMaleReproducibility of ResultsSensitivity and SpecificityAlzheimer's diseaseBrainSynthetic magnetic resonance imagingVoxel-based morphometry analysesVoxel-based quantification analyses

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.