Computational studies on visceral artery lesions and aortic pathologies involving visceral branches: a comprehensive

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Siting Li1,2, Tianai Wu1,2, Xiaoning Sun1,2

  • 1Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Frontiers in Cardiovascular Medicine
|July 25, 2026
PubMed

Insights

Computational fluid dynamics (CFD) models analyze visceral artery diseases, aiding in understanding biomechanical forces and predicting complications. Advancements aim to improve diagnosis and treatment for better patient outcomes.

Area of Science:

  • Medical Imaging and Computational Biology
  • Vascular Surgery and Interventional Radiology

Background:

  • Visceral arteries (celiac, superior mesenteric, renal) are vital for abdominal organ perfusion.
  • Lesions can be primary or secondary to aortic disease, causing ischemia, organ failure, or rupture.
  • Computational modeling offers insights into complex hemodynamics within these arteries.

Purpose of the Study:

  • To critically review computational fluid dynamics (CFD) studies on visceral artery lesions.
  • To explore CFD's role in understanding disease mechanisms and predicting complications.
  • To identify challenges and future directions for CFD in visceral artery disease.

Main Methods:

  • Review of existing computational fluid dynamics (CFD) literature.
  • Analysis of CFD applications in visceral artery pathologies like aneurysms, stenosis, and dissections.
  • Discussion of CFD's predictive capabilities for thrombosis, restenosis, and graft failure.

Main Results:

  • CFD aids in understanding biomechanical forces driving aneurysm and stenosis development.
  • CFD can predict risks associated with endovascular repair of aortic lesions involving visceral branches.
  • Current CFD models face challenges due to anatomical complexity and data limitations.

Conclusions:

  • CFD holds significant potential for refining diagnosis and treatment of visceral artery diseases.
  • Future advancements in fluid-structure interaction and machine learning will enhance simulation accuracy.
  • Improved CFD modeling can lead to better clinical outcomes for patients with visceral artery conditions.

Keywords:
aneurysmbiomechanicscomputational fluid dynamicsdissectionvisceral artery

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