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ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2025

Hemodynamics and restenosis risk assessment in Budd-Chiari syndrome: A CFD study.

Shikun Zhang, Zhen Wang, Wenyue Sun, Qingrong Zhou, Hui Tang, Junbin Xu, Peijun Qi, Yinghong Zhao, Fei Wang, Chao Chen

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Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Not yet cited in PubMed.

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1 · What the graph read from it

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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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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Shikun ZhangCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Zhen WangCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Wenyue SunCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Qingrong ZhouCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Hui TangCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Junbin XuCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Peijun QiDepartment of Ultrasound, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yinghong ZhaoCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Fei WangCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.
Chao ChenCollege of Medical Imaging, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and ObjectiveBudd-Chiari syndrome (BCS) presents challenges in postoperative restenosis risk prediction due to unclear hemodynamic pathophysiology. Despite advances in interventional therapies, tools linking hemodynamic abnormalities to vascular remodeling are lacking. This study aimed to evaluate hemodynamic changes in BCS patients with inferior vena cava (IVC) stenosis using patient-specific MRI and computational fluid dynamics (CFD) to establish predictive biomarkers and optimize management.Methods3D IVC models were reconstructed from preoperative, postoperative, and healthy control MRI data. Dynamic hemodynamic parameters, including flow velocity, pressure gradients, wall shear stress (WSS), and vortex patterns, were analyzed via CFD simulations under physiologically accurate boundary conditions.ResultsPreoperative IVC stenosis caused severe disturbances. Post-intervention, parameters decreased (e.g., peak stenotic velocity from 1.91 m/s to 0.97 m/s; trans-stenotic pressure gradient from 3562 Pa to 1404 Pa) but remained higher than normal (peak velocity: 0.27 m/s; pressure fluctuation: Δ1225 Pa). Persistent vortices near stent edges and incomplete pressure normalization were observed, correlating with restenosis incidence. These findings highlight unresolved WSS (post-op peak WSS: 18.2 Pa vs normal: 6.18 Pa) and abnormal flow dynamics (e.g., prolonged vortex duration) as key recurrence risks.ConclusionThis study provides a hemodynamic framework for BCS, showing that intervention alleviates stenosis but doesn't restore normal flow. Residual stress emphasizes the need for adjunct therapies. The CFD approach offers predictive insights, advocating personalized monitoring for improved BCS outcomes.

Indexed as

Budd-Chiari syndromecomputational fluid dynamicshemodynamicspre- and post-surgery

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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.