Evidence map›Paper›PMID 42499797›Full record

ReviewFrontiers in cardiovascular medicine2026

Computational studies on visceral artery lesions and aortic pathologies involving visceral branches: a comprehensive review for the clinician.

Siting Li, Tianai Wu, Xiaoning Sun, Xiao Liu, Zenghan Cao, Fangda Li, Rong Zeng, Shiyi Yang, Yuehong Zheng

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Siting Li *Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Tianai Wu *Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaoning SunDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiao LiuKey Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Zenghan CaoDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Fangda LiDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Rong ZengDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Shiyi YangKey Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Yuehong ZhengDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral arteries, including the celiac artery, superior mesenteric artery, and renal arteries, play a critical role in supplying blood to abdominal organs. Lesions affecting these arteries can be classified into two categories: primary visceral artery pathologies and secondary involvement due to aortic diseases, sometimes leading to serious complications such as ischemia, organ failure, and rupture. Computational modeling approaches have emerged as a valuable tool for analyzing complex hemodynamics in artery diseases. This review provides a critical overview of computational fluid dynamics (CFD) studies on lesions of or involving visceral arteries. CFD could help understanding how biomechanical forces contribute to the development and growth of aneurysms, stenosis, and dissections, as well as predicting the risk of thrombosis, restenosis, and graft failure after endovascular repair of aortic lesions involving the visceral branches. Significant challenges remain, including model simplifications, the lack of patient-specific boundary conditions, and inadequate clinical imaging data due to the complex and individualized anatomy of visceral arteries. Advancements in fluid-structure interaction modeling, real-time hemodynamic data acquisition from imaging modalities, and machine learning-based image segmentation are expected to enhance simulation accuracy and clinical relevance. CFD has the potential to refine the diagnosis and treatment of visceral artery diseases and improve clinical outcomes.

Indexed as

aneurysmbiomechanicscomputational fluid dynamicsdissectionvisceral artery

Identifiers

PMID42499797
PMCPMC13395936

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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.