Evidence map›Paper›PMID 41816076›Full record

ArticleQuantitative imaging in medicine and surgery2026

Simultaneous quantitative evaluation of both iliac arteries and veins via accelerated four-dimensional flow in healthy controls and patients with deep vein thrombosis: a pilot study.

Qiming Liu, Xinyu Wang, Qifan Lu, Li Song, Xin Guan, Julio Sotelo, Sergio Uribe, Chen Zhang, Giese Daniel, Congrui Sun and 1 more

Abstract read
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Article 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.

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5 · Who and what money

Authors and funding

11 authors.

Qiming Liu *Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Xinyu Wang *Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Qifan LuDepartment of Medicine, High School Affiliated to Shanghai Fudan University, Shanghai, China.
Li SongDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Xin GuanDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, China.
Julio SoteloDepartamento de Informática, Universidad Técnica Federico Santa María, Santiago, Chile.
Sergio UribeDepartment of Medical Imaging and Radiation Sciences, Monash University, Melbourne, Australia.
Chen ZhangMR Research Collaboration, Siemens Healthineers, Beijing, China.
Giese DanielResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Congrui SunDepartment of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Qi YangDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding iliac hemodynamics in both healthy individuals and patients with vascular diseases is important from both physiological and pathological perspectives, and the four-dimensional (4D) flow technique is a valuable tool for the accurate quantification of hemodynamics. However, conventional 4D flow acquisition is time-consuming. Therefore, this study aimed to evaluate the hemodynamics of the iliac arteries and veins using both conventional single-velocity encoding (VENC) and compressed sensing (CS)-accelerated dual-VENC 4D flow sequences in healthy controls (HCs) and patients with deep vein thrombosis (DVT). Methods: This study included HCs and patients with DVT between December 2024 and April 2025. Two conventional single-VENC 4D flow sequences with high and low VENCs and a dual-VENC CS-accelerated sequence were performed and postprocessed by two experienced readers. Quality control, including test-retest reliability, agreement between techniques, and intra- and inter-reader agreement, was performed, and the correlation between age and flow parameters was also calculated. Results: The acquisition time for conventional high-VENC, low-VENC, and CS dual-VENC 4D flow was 10.6, 10.7, and 8.8 min, respectively. In the quality control analysis, the intraclass correlation coefficients (ICCs) for test-retest reliability, intraobserver, and interobserver agreements were all >0.85 (P≤0.001). In arterial segments, both velocity and wall shear stress (WSS) measured by the CS methods were lower than those obtained by conventional methods, with the underestimation percent ranging from 2.8% to 11.8% in HCs and from 1.9% to 14.8% in patients with DVT. For venous segments, CS-based measurements underestimated velocity and WSS by 1.1-12.0% in HCs and 1.3-14.2% in patients with DVT. Negative correlations were found between age and arterial velocity (R=-0.33), arterial WSS (R=-0.34), and venous velocity (R=-0.29) (all P values <0.05). Conclusions: The study results indicate that the CS dual-VENC 4D flow sequence is feasible for rapid simultaneous assessment of iliac arteries and veins in both HCs and patients with DVT. However, the underestimation caused by CS should be noted.

Indexed as

deep vein thrombosis (DVT)Four-dimensional flow magnetic resonance imaging (4D flow MRI)hemodynamicsiliac arteryiliac vein

Identifiers

PMID41816076
PMCPMC12971334

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