Evidence map›Paper›PMID 42840269›Full record

ArticleFrontiers in aging neuroscience2026

Reconsideration of the DTI-ALPS index as a glymphatic surrogate: disease-specific findings in small vessel disease due to cerebral amyloid angiopathy or arteriolosclerosis.

Yaping Zhou, Xingqi Pan, Ziyi Xia, Yuhui Sha, Gan Sun, Fei Han, Ming Yao, Lixin Zhou, Liyun Tu, Feng Feng and 3 more

Abstract read
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In one paragraph

Article in Frontiers in aging neuroscience, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yaping Zhou *State Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xingqi Pan *State Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ziyi Xia *School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Yuhui ShaState Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Gan SunNational Infrastructures for Translational Medicine, Peking Union Medical College Hospital, Institute of Clinical Medicine, Theranostics and Translational Research Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fei HanState Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ming YaoState Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lixin ZhouState Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Liyun TuSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Feng FengState Key Laboratory of Complex Severe and Rare Diseases, Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Joanna M WardlawInstitute for Neuroscience and Cardiovascular Research, UK Dementia Research Institute Centre, BHF-UK DRI Centre for Vascular Dementia Research, Row Fogo Centre for Research into Aging and the Brain, University of Edinburgh, Edinburgh, United Kingdom.
Yi-Cheng ZhuState Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jun NiState Key Laboratory of Complex Severe and Rare Diseases, Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To explore the disease-specific performance of diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index in cerebral amyloid angiopathy (CAA) and arteriolosclerosis CSVD (aCSVD). Methods: We retrospectively enrolled probable CAA or aCSVD patients who underwent 5.0T MRI. Disease-specific DTI-ALPS characteristics and the correlations with clinical, imaging markers, and cognition were evaluated. Regression models were applied according to outcome distributions. Multiple comparisons were controlled using the Benjamini-Hochberg false discovery rate (FDR) procedure. Results: A total of 134 participants (56 probable CAA and 78 arteriolosclerosis, mean age 64.9 ± 10.0 years, 64.9% males) were enrolled. DTI-ALPS index was significantly lower in aCSVD than in CAA ( Conclusion: DTI-ALPS index is heterogenous across distinct angiopathies but consistently associated with white matter microstructural damage. These subtype-specific findings question the relevance of DTI-ALPS index and caution against using DTI-ALPS index as a universal glymphatic surrogate.

Indexed as

cerebral amyloid angiopathycerebral small vessel diseasediffusion tensor imagingglymphatic systemNeuroImage

Identifiers

PMID42840269
PMCPMC13638668

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