Evidence map›Paper›PMID 36124369›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Black-blood Venous Imaging (BBVI): A Contrast-Free and High-Resolution Magnetic Resonance Approach for Diagnosing IVCS - a Proof of Concept Study.

Zhangbo Cheng, Hang Wang, Shengmei Lin, Lei Yin, Jiawei Su, Yunhong Lei, Yongrong Lan, Jun Yan, Tao Han, Mingping Ma and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. 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, top 76% of its field
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, 2 citations in OpenAlex.

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

11 authors at 2 institutions in 1 country.

Zhangbo ChengDepartment of Cardiovascular Surgery, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.ORCID 0000-0001-8768-0771
Hang WangDepartment of Cardiovascular Surgery, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Shengmei LinDepartment of Radiology, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Lei YinDepartment of Radiology, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Jiawei SuDepartment of Radiology, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Yunhong LeiDepartment of Cardiovascular Surgery, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Yongrong LanDepartment of Cardiovascular Surgery, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Jun YanDepartment of Cardiovascular Surgery, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Tao HanDepartment of Cardiovascular Surgery, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Mingping MaDepartment of Radiology, Fujian Provincial Clinical College of Fujian Medical University, 117861Fujian Provincial Hospital, Fuzhou, China.
Guoxi XieDepartment of Biomedical Engineering of Basic Medical School, 26468Guangzhou Medical University, Guangzhou, China.
Fujian Medical University · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIliac vein compression syndrome (IVCS) diagnosis heavily relies on an imaging test. However, non-invasive and contrast-free imaging test for the diagnosis of IVCS remains a big challenge. To address this issue, this prospective study aimed to assess the image quality and diagnostic performance of a magnetic resonance imaging technique, black-blood venous imaging (BBVI), in detecting IVCS by comparing it with contrast-enhanced computed tomography venography (CTV) and using invasive digital subtraction angiography (DSA) as the reference.

methodsWe enrolled 105 patients, and all patients underwent BBVI, CTV, and DSA examinations. We compared the consistency of CTV and BBVI image quality and their consistency in diagnosing the rate of iliac vein stenosis in IVCS patients. Using the consensus DSA as a reference, the sensitivity, specificity, positive and negative predictive values, and accuracy of BBVI and CTV and their diagnostic agreement with DSA were calculated.

resultsBBVI demonstrated high sensitivity, specificity, and accuracy for the diagnosis of IVCS, without contrast agents. BBVI and CTV are quite in diagnosis IVCS. Quite SE (67.8% vs 68.3%), SP (94.8% vs 94.8%), PPV (98.0% vs 98.0%), NPV (46.2% vs 46.9%) and ACC (75.3% vs 75.7%) were obtained by BBVI in comparison with CTV.

conclusionBBVI has comparable diagnostic performance with CTV. It may be a viable alternative to CTV techniques in screening the IVCS without contrast agents and free of ionizing radiation.

Indexed as

May-Thurner SyndromeContrast MediaHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyProof of Concept StudyProspective StudiesContrast Mediablack-blood venous imagingcardiovascular magnetic resonanceiliac vein compression syndrome

Identifiers

PMID36124369
PMCPMC9490483
OpenAlexW4296473850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.