Evidence map›Paper›PMID 41033759›Full record

ArticleBMJ open2025

Diagnostic and therapeutic impact of ultrasound tomography in lower extremity varicose veins: protocol for a paired accuracy study and randomised controlled trial in a tertiary hospital in China.

Wei Zhang, Feiyin Lan, Sumin Yuan, Jingyi Guo, Yi Li, Ye Pan, Yuanyi Zheng

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. 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

7 authors.

Wei ZhangDepartment of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-4148-5916
Feiyin LanDepartment of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, China.
Sumin YuanDepartment of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, China.
Jingyi GuoClinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi Li *Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, China.
Ye Pan *Department of Vascular Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuanyi Zheng *Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Ultrasound in Medicine, Shanghai, China zhengyuanyi@163.com.ORCID http://orcid.org/0000-0002-1328-0641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic venous disease, particularly lower extremity varicose veins (VVs) and incompetent perforating veins (IPVs), is a prevalent condition associated with significant morbidity, including venous ulcers and post-surgical recurrence. Current diagnostic modalities for IPVs-such as digital subtraction angiography, CT venography, magnetic resonance venography and conventional ultrasound-are limited by ionising radiation, operator dependency or inadequate spatial resolution. Ultrasound tomography (UT), an emerging automated 3D imaging technology, offers comparable resolution, wider field of view and reduced operator bias compared with conventional ultrasound. Preliminary studies suggest UT improves IPV detection rates, yet its diagnostic accuracy and clinical utility remain unvalidated in large-scale trials. This study aims to evaluate UT's diagnostic performance and its impact on surgical outcomes in a paired-design and randomised controlled trial (RCT), addressing a critical gap in non-invasive venous assessment.

methodsThis study combines a paired diagnostic trial and a prospective, triple-blind RCT. In the paired trial (n=84), patients with VVs (Clinical-Etiological-Anatomical-Pathophysiological C2-C5) receive both conventional ultrasound and UT combined with Doppler examination to compare IPV detection sensitivity against surgical findings. The RCT (n=264) randomises patients to conventional ultrasound group (control group) or conventional ultrasound+UT group (intervention group). After examination, all patients undergo standardised treatment (radiofrequency ablation with sclerotherapy and selective IPV ligation), with follow-up extending to 5 years. The primary endpoint is 1-year recurrence rates and secondary endpoints, including 3-month, 3-year and 5-year recurrence rates, as well as Venous Clinical Severity Scores, quality of life and Aberdeen Varicose Vein Questionnaire scores. ETHICS AND DISSEMINATION: The study has been approved by the Ethics Committee of Shanghai Sixth People's Hospital (approval number: 2024-132). Written informed consent will be obtained from each participant, and final results will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: The study has been registered on Chinese Clinical Trial Registry (http://www.chictr.org.cn), identifier: ChiCTR2500097289.

Indexed as

Lower ExtremityVaricose VeinsAdultChinaFemaleHumansMaleMiddle AgedProspective StudiesRandomized Controlled Trials as TopicTertiary Care CentersUltrasonographyClinical ProtocolsULTRASONOGRAPHYVASCULAR MEDICINE

Identifiers

PMID41033759
PMCPMC12496035

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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.