Evidence map›Paper›PMID 37581029›Full record

ArticleQuantitative imaging in medicine and surgery2023

Quantitative two-dimensional phase-contrast magnetic resonance imaging characterization of lower extremity venous disease: venous reflux versus venous obstruction.

Yao-Kuang Huang, Yin-Chen Hsu, Yuan-Hsi Tseng, Chih-Chen Kao, Yeh Giin Ngo, Chung-Yuan Lee, Teng-Yao Yang, Kuo-Song Chang, Pang-Yen Chen, Shih-Chung Wang and 3 more

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Article in Quantitative imaging in medicine and surgery, 2023. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yao-Kuang HuangDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital Chiayi Branch, Chiayi.
Yin-Chen HsuCollege of Medicine, Chang Gung University, Taoyuan.
Yuan-Hsi TsengDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital Chiayi Branch, Chiayi.
Chih-Chen KaoDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital Chiayi Branch, Chiayi.
Yeh Giin NgoCollege of Medicine, Chang Gung University, Taoyuan.
Chung-Yuan LeeCollege of Medicine, Chang Gung University, Taoyuan.
Teng-Yao YangCollege of Medicine, Chang Gung University, Taoyuan.
Kuo-Song ChangDepartment of Emergency Medicine, Mackay Memorial Hospital, Taipei.
Pang-Yen ChenDepartment of Nursing, Yuanpei University of Medical Technology, Hsinchu.
Shih-Chung WangDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital Chiayi Branch, Chiayi.
Sheng-Ya ChenDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital Chiayi Branch, Chiayi.
Yu-Hui LinDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital Chiayi Branch, Chiayi.
Chien-Wei ChenCollege of Medicine, Chang Gung University, Taoyuan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lower extremity venous disease (LEVD) is a complex disorder, and determining the etiology of LEVD is paramount for treatment selection. Two-dimensional phase-contrast magnetic resonance imaging (2D PC-MRI) can provide an objective measure of hemodynamic status and may help differentiate between different etiologies of LEVD. A total of 271 participants, including 256 symptomatic patients with venous lower extremity disease and 15 healthy volunteers, were collected in this cohort study. Methods: It is a single-center prospective observational study using 2D PC-MRI analysis to assess the hemodynamic characteristics of patients with LEVD among participants recruited between April 2017 and October 2021 at a tertiary hospital. The approval institutional review board number for this study were 201802137B0, 201901058B0, 202100938B0, and 202102344B0. Participants were classified as venous reflux (VR) and venous obstruction (VO) by standard ultrasonography. 2D PC-MRI by 1.5 T scanner revealed stroke volume (SV), forward flow volume (FFV), absolute stroke volume (ASV), mean flux (MF), velocity time integral (VTI), and mean velocity (MV) for each selected venous segments. Results: 2D PC-MRI assessed 167 diseased legs from the 116 VR patients [mean age ± standard deviation (SD): 57.9±12.8 years; 39 males] and 113 diseased legs from the 95 VO patients (mean age ± SD: 66.4±12.8 years; 42 males). 2D PC-MRI analysis demonstrated discrimination ability to differentiate from VR to VO [SV, FFV, ASV, MF, VTI, and MV in the various venous segments, respectively, P≤0.001; area under the curve (AUC) =62-68.8%, P≤0.001 by Mann-Whitney Conclusions: Quantitative 2D PC-MRI analysis is capable of differentiating VR from VO. It also provides an important diagnostic capability for preoperative evaluation.

Indexed as

Magnetic resonance imaging (MRI)non-contrastobstructionphase contrastrefluxvenous disease

Identifiers

PMID37581029
PMCPMC10423378

What Socratic holds

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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 Socratic graph.