Evidence map›Paper›PMID 42582390›Full record

ReviewQuantitative imaging in medicine and surgery2026

Clinical applications of 4D flow magnetic resonance imaging in hepatic vascular disorders: practical biomarkers, protocol design, and translational implementation.

Hanxiang Liu, Lingyun Xu, Jing Yang, Liang Chen, Yuwei Chen, Yueyan Zhao, Shuguang Han, Jiali Wang, Tong Wang, Tongyu Wang and 5 more

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 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

15 authors.

Hanxiang Liu *School of Medical Imaging, Xuzhou Medical University, Xuzhou, China.
Lingyun Xu *School of Medical Imaging, Xuzhou Medical University, Xuzhou, China.
Jing YangDepartment of Interventional Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Liang ChenSchool of Anesthesiology, Xuzhou Medical University, Xuzhou, China.
Yuwei ChenSchool of Medical Imaging, Xuzhou Medical University, Xuzhou, China.
Yueyan ZhaoSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China.
Shuguang HanDepartment of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Jiali WangDepartment of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Tong WangDepartment of Biology, Duke University, Durham, NC, USA.
Tongyu WangShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Rongkai YanDepartment of Radiology, The Ohio State University, Columbus, OH, USA.
Huixian ZhouDepartment of Internal Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA.
Jiling ZengDepartment of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Qingqiao ZhangDepartment of Interventional Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Siyuan SongDepartment of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID https://orcid.org/0009-0006-2078-7084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic vascular disorders include portal hypertension in cirrhosis, Budd-Chiari syndrome (BCS), hepatic vascular malformations, and vascular complications after liver transplantation. These diseases depend on blood-flow direction, flow redistribution, and pressure transmission, and not only on gross vessel shape. Doppler ultrasound, computed tomography angiography (CTA), and digital subtraction angiography (DSA) are widely used in current clinical practice, but each has distinct limits for full hemodynamic assessment, and repeated follow-up can be difficult to implement effectively in daily clinical work. Four-dimensional flow magnetic resonance imaging (4D flow MRI) is a time-resolved three-dimensional (3D) phase-contrast MRI method with three-directional velocity encoding (VENC). It provides volumetric flow and multidirectional velocity data across the cardiac cycle, and it allows flexible retrospective plane placement and comprehensive network-level analysis. It can accurately measure flow volume, peak and mean velocity, retrograde fraction, fractional flow change, and shear-related metrics. It also supports pressure-gradient estimation when combined with physics-based modeling in selected clinical settings. Hepatic imaging still faces multiple major constraints, including VENC tradeoffs, respiratory motion, limited small-vessel resolution, and the need for unified standardized acquisition and analysis. Workflow limits from segmentation and plane placement can be greatly reduced by modern automated analysis. This review systematically summarizes technical foundations, processing steps, disease-focused applications, and practical barriers for clinical translation.

Indexed as

Budd-Chiari syndrome (BCS)Four-dimensional flow magnetic resonance imaging (4D flow MRI)hemodynamicsportal hypertensiontransjugular intrahepatic portosystemic shunt (TIPS)

Identifiers

PMID42582390
PMCPMC13457754

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.