Evidence map›Paper›PMID 40160589›Full record

ReviewReviews in cardiovascular medicine2025

The Role of 4D Flow MRI-derived Wall Shear Stress in Aortic Disease: A Comprehensive Review.

Ying Liu, Xiaolin Mu, Yixin Wang, Zhe Xu, Yang Song

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

5 authors.

Ying LiuDepartment of Radiology, Central Hospital of Dalian University of Technology, 116033 Dalian, Liaoning, China.
Xiaolin MuDepartment of Radiology, Central Hospital of Dalian University of Technology, 116033 Dalian, Liaoning, China.ORCID https://orcid.org/0000-0003-3449-9658
Yixin WangDepartment of Radiology, Central Hospital of Dalian University of Technology, 116033 Dalian, Liaoning, China.
Zhe XuDepartment of Radiology, Central Hospital of Dalian University of Technology, 116033 Dalian, Liaoning, China.
Yang SongDepartment of Radiology, Central Hospital of Dalian University of Technology, 116033 Dalian, Liaoning, China.ORCID https://orcid.org/0000-0001-7409-7923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic diseases, such as aortic dissection and aortic rupture, often lead to catastrophic complications, significantly increasing morbidity and mortality. Population-based screening for early detection in asymptomatic individuals is not feasible due to high costs and practical challenges. However, recent advancements in four dimensions (4D) Flow magnetic resonance imaging (MRI) offer a comprehensive tool for evaluating hemodynamic changes within the aortic lumen. This technology allows for the quantification and visualization of flow patterns and the calculation of advanced hemodynamic parameters, such as wall shear stress (WSS). WSS is crucial in the development, risk stratification, and surgical outcomes of aortic diseases and their complications, enabling noninvasive and quantitative screening of high-risk populations. This review explores the current status and limitations of 4D flow MRI-derived WSS imaging for aortic disease.

Indexed as

4D flowaorticmagnetic resonance imagingwall shear stress

Identifiers

PMID40160589
PMCPMC11951489

What OpenQuestion holds

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Registered trials

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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.