Evidence map›Paper›PMID 37402004›Full record

ArticleEuropean radiology2023

Noninvasive investigations of human glymphatic dynamics in a diseased model.

Chia-Hung Wu, Yu Kuo, Feng-Chi Chang, Jiing-Feng Lirng, Yu-Hsiang Ling, Yen-Feng Wang, Hsiu-Mei Wu, Jong-Ling Fuh, Chung-Jung Lin, Shuu-Jiun Wang and 1 more

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Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Dynamic Pathophysiological Insight into the Brain by NIR-II Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Review
  8. Article
  9. 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

11 authors.

Chia-Hung WuDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Yu KuoDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Feng-Chi ChangDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Jiing-Feng LirngDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Yu-Hsiang LingSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yen-Feng WangSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Hsiu-Mei WuDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Jong-Ling FuhSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chung-Jung LinDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Shuu-Jiun WangSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. sjwang@vghtpe.gov.tw.
Shih-Pin ChenSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. chensp1977@gmail.com.ORCID http://orcid.org/0000-0003-3492-9902

Funding

Ministry of Health and Welfare MOHW107-TDU-B-211-123001Ministry of Health and Welfare MOHW108-TDU-B-211-133001Ministry of Science and Technology, Taiwan 108-2314-B-010-022-MY3Ministry of Science and Technology, Taiwan 110-2314-B-075-005Ministry of Science and Technology, Taiwan 110-2314-B-075-032Ministry of Science and Technology, Taiwan 110-2321-B-010-005Ministry of Science and Technology, Taiwan 110-2326-B-A49A-501-MY3Ministry of Science and Technology, Taiwan 111-2314-B-075 -025 -MY3Ministry of Science and Technology, Taiwan 111-2321-B-A49-004Ministry of Science and Technology, Taiwan MOST 108-2314-B-010-023-MY3Taipei Veterans General Hospital V109B-009Taipei Veterans General Hospital V109D52-001-MY3-2Taipei Veterans General Hospital V110C-037Taipei Veterans General Hospital V110C-102Taipei Veterans General Hospital V111B-032Taipei Veterans General Hospital V111C-028Taipei Veterans General Hospital V112B-007Taipei Veterans General Hospital V112C-053Taipei Veterans General Hospital V112C-059Taipei Veterans General Hospital V112D67-001-MY3-1Taipei Veterans General Hospital V112D67-002-MY3-1Taipei Veterans General Hospital VGH-111-C-006-1Taipei Veterans General Hospital VGH-111-C-111Taipei Veterans General Hospital VGH-111-C-158Taipei Veterans General Hospital VGHUST110-G1-3-1the Veterans General Hospitals and University System of Taiwan Joint Research Program VGHUST110-G1-5-2Yen Tjing Ling Medical Foundation CI-109-3Yen Tjing Ling Medical Foundation CI-111-2Yen Tjing Ling Medical Foundation CI-112-2
6 · The paper itself

Abstract

objectivesTo explore human glymphatic dynamics in a diseased model via a noninvasive technique.

methodsPatients with reversible vasoconstriction syndrome (RCVS) presenting with blood-brain barrier disruption, i.e., para-arterial gadolinium leakage on 3-T 3-dimensional isotropic contrast-enhanced T2-fluid-attenuated inversion recovery (CE-T2-FLAIR) magnetic resonance imaging (MRI), were prospectively enrolled. Consecutive 9-min-CE-T2-FLAIR for 5-6 times (early panel) after intravenous gadolinium-based contrast agent (GBCA) administration and one time-varying deferred scan of noncontrast T2-FLAIR (delayed panel) were performed. In Bundle 1, we measured the calibrated signal intensities (cSIs) of 10 different anatomical locations. In Bundle 2, brain-wide measurements of para-arterial glymphatic volumes, means, and medians of the signal intensities were conducted. We defined mean (mCoIs) or median (mnCoIs) concentration indices as products of volumes and signal intensities.

resultsEleven subjects were analyzed. The cSIs demonstrated early increase (9 min) in perineural spaces: (cranial nerve [CN] V, p = 0.008; CN VII + VII, p = 0.003), choroid plexus (p = 0.003), white matter (p = 0.004) and parasagittal dura (p = 0.004). The volumes, mCoIs, and mnCoIs demonstrated increasing rates of enhancement after 9 to 18 min and decreasing rates after 45 to 54 min. The GBCA was transported centrifugally and completely removed within 961-1086 min after administration.

conclusionsThe exogenous GBCA leaked into the para-arterial glymphatics could be completely cleared around 961 to 1086 min after administration in a human model of BBB disruption. The tracer enhancement started variously in different intracranial regions but was eventually cleared centrifugally to brain convexity, probably towards glymphatic-meningeal lymphatics exits. CLINICAL RELEVANCE STATEMENT: Glymphatic clearance time intervals and the centrifugal directions assessed by a noninvasive approach may have implications for clinical glymphatic evaluation in the near future. KEY POINTS: • This study aimed to investigate the human glymphatic dynamics in a noninvasive diseased model. • The intracranial MR-detectable gadolinium-based contrast agents were removed centrifugally within 961 to 1086 min. • The glymphatic dynamics was demonstrable by enhancing MRI in an in vivo diseased model noninvasively.

Indexed as

BrainGadoliniumContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingContrast MediaGadoliniumGadolinium DTPABlood-brain barrierContrast mediaGadoliniumMagnetic resonance imagingVasoconstriction

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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.