Evidence map›Paper›PMID 42902599›Full record

ArticleRenal failure2026

Bilateral peripheral CT venography for evaluating central venous lesions in dysfunctional arteriovenous fistulas: feasibility, safety, and radiation dose in hemodialysis patients.

Hongwei Zhang, Hongming Liu, Zhi Zou, Shunqiang Chen, Lili Shi, Yongli Li, Shewei Dou

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Article in Renal failure, 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

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7 authors.

Hongwei ZhangDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.ORCID 0009-0009-8275-5178
Hongming LiuDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Zhi ZouDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.ORCID 0009-0003-7220-3827
Shunqiang ChenDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Lili ShiDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Yongli LiDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.ORCID 0000-0002-3175-0272
Shewei DouDepartment of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.ORCID 0000-0002-8434-7751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCentral venous stenosis and occlusion are major causes of arteriovenous fistula (AVF) dysfunction in hemodialysis patients. This study aimed to evaluate the feasibility, safety, radiation exposure, and anatomical findings of bilateral peripheral CT venography for central venous assessment in patients with dysfunctional AVFs.

methodsThis single-center retrospective cohort study included 46 consecutive hemodialysis patients with dysfunctional AVFs who underwent bilateral peripheral CT venography between August 2023 and June 2025. Technical success, procedure-related adverse events, radiation dose parameters, central venous lesion characteristics, and agreement with available comparative imaging modalities were analyzed. Comparative imaging findings from puncture-based angiography and/or duplex ultrasonography were assessed descriptively.

resultsAll 46 examinations were technically successful (100%), with a mean procedure duration of 4 minutes (range, 3-5 minutes). Minor adverse events included one patient of contrast extravasation (2.2%) and 3 of mild allergic reactions (6.5%); no severe procedure-related complications were documented. The mean CTDIvol and DLP were 11.87 mGy and 784.15 mGy·cm, respectively. Central venous abnormalities were identified in 44 patients (95.7%), including stenosis in 31 (67.4%), occlusion in 11 (23.9%), and aneurysmal changes in 2 (4.3%). Comparative imaging was available in 38 patients, and CT venography showed agreement with available findings in 37 cases (97.4%). This agreement was interpreted as descriptive concordance rather than formal diagnostic accuracy.

conclusionsBilateral peripheral CT venography demonstrated high technical feasibility, acceptable safety, and effective visualization of central venous abnormalities in hemodialysis patients with dysfunctional AVFs. Further prospective studies are needed to validate its diagnostic performance and clinical impact. ADVANCES IN KNOWLEDGE: This technique enables efficient, noninvasive assessment of central venous pathology with minimal risk, supporting its potential as a practical alternative to conventional imaging in hemodialysis patients.

Indexed as

Arteriovenous Shunt, SurgicalComputed Tomography AngiographyPhlebographyRenal DialysisAdultAgedConstriction, PathologicFeasibility StudiesFemaleHumansMaleMiddle AgedRadiation DosageRetrospective StudiesArteriovenous fistulacentral venous stenosisCT venographyhemodialysisvascular access

Identifiers

PMID42902599
PMCPMC13689794

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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.