Evidence map›Paper›PMID 40838861›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Assessment of Small Vessel Density Changes in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalophy (CADASIL) by High-Resolution Black-Blood MRI.

Zidong Yang, Fanhua Guo, Steve Mendoza, Ziyang Huang, Yingying Li, Yunqing Ying, Xin Cheng, Qi Yang, Yonggang Shi, Danny J J Wang

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zidong YangLaboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0003-3427-5267
Fanhua GuoLaboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Steve MendozaLaboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Ziyang HuangLaboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Yingying LiDepartment of Radiology, Beijing Chaoyang Hospital, Beijing, China.
Yunqing YingDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Xin ChengDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Qi YangDepartment of Radiology, Beijing Chaoyang Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-5773-0456
Yonggang ShiDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Danny J J WangLaboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-0840-7062

Funding

Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)RF1AG084072 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JIANG, XUEJUAN, SHI, YONGGANG · 2023 to 2023
$2.5M
High Capacity, High Performance Storage System for NeuroscienceS10OD032285 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2022 to 2022
$1.7M
BBB Permeability Imaging in CADASILR01NS114382 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2020 to 2024
$1.2M
National Health Commission of the People's Republic of China 2023ZD0504900National Health Commission of the People's Republic of China 2023ZD0504903National Natural Science Foundation of China 82025018National Natural Science Foundation of China 82402207NIA NIH HHS RF1 AG084072NIH HHS R01NS114382NIH HHS RF1AG084072NIH HHS S10 OD032285NIH HHS S10OD032285NINDS NIH HHS R01 NS114382
6 · The paper itself

Abstract

backgroundDirect assessments of cerebral small vessels in Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) remain a challenge. PURPOSE: To investigate changes of cerebral small vessels in CADASIL using iso-0.5 mm black-blood MRI. STUDY TYPE: Case control study. POPULATION: Thirty-six genetically confirmed CADASIL patients (23 female, 43 ± 12.48 years) and 35 matched healthy controls (27 female, 40 ± 11.57 years). FIELD STRENGTH/SEQUENCE: 3T using a T1-weighted turbo spin-echo with variable flip angles sequence. ASSESSMENT: Vessel density images (VDIs) were derived from black-blood MRI by using a semi-automatic pipeline with a Jerman filter. The differences in VDI were assessed between CADASIL and control groups. The relationships between changes in VDI and cognitive performance and disease burden were studied in the CADASIL group. STATISTICAL TESTS: Two-tailed independent samples t-tests were employed to assess the difference in VDI between CADASIL and control groups. Generalized linear mixed-effect models were used to assess the associations of VDI with cognitive performance and disease burden. Voxel-wise analyses were performed to further explore the associations of regional VDI with cognitive performance and disease burden after FDR correction.

resultsReduced mean VDI was found in gray matter of CADASIL patients (1.31 ± 0.06) compared to controls (1.35 ± 0.03), which was significantly associated with lower MoCA scores (β = 52.89, SE = 12.99, 95% CI [26.38, 79.40]), and higher cerebral small vessel disease (cSVD) burden scores (β = -14.34, SE = 3.22, 95% CI [-20.91, -7.76]) in CADASIL patients. Voxel-wise analyses revealed reduced regional VDI in regions of the temporal pole, insula, cingulate cortex, and orbitofrontal cortex in CADASIL patients. DATA

conclusionThe VDI technique based on high-resolution black-blood MRI demonstrated changes in regional VDI in CADASIL patients and offers a noninvasive imaging tool to advance the understanding of the mechanisms underlying cSVD. EVIDENCE LEVEL: 3. TECHNICAL EFFICIENCY: Stage 2.

Indexed as

CADASILMagnetic Resonance ImagingAdultBrainCase-Control StudiesFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedBlack‐blood MRICADASILcerebral small vessel diseasevessel density imaging

Identifiers

PMID40838861
PMCPMC12462767

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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.