Evidence map›Paper›PMID 32320276›Full record

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

Comparison Between the Diagnostic Performance of 1.5 T and 3.0 T field Strengths for Detecting Deep Vein Thrombosis Using Magnetic Resonance Black-Blood Thrombus Imaging.

Yufeng Ye, Xueping He, Chen Huang, Caiyun Shi, Wei Deng, Wenfeng Luo, Jianke Liang, Zhuonan He, Huan Mao, Qiwei Liang and 3 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

13 authors at 4 institutions in 1 country.

Yufeng YeDepartment of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.ORCID https://orcid.org/0000-0002-9843-475X
Xueping HeDepartment of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
Chen HuangMedical Imaging Institute of Panyu, Guangzhou, China.
Caiyun ShiPaul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China.
Wei DengDepartment of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
Wenfeng LuoDepartment of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
Jianke LiangDepartment of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
Zhuonan HeDepartment of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
Huan MaoDepartment of Biomedical Engineering, School of Basic Medical Sciences, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Qiwei LiangMedical Imaging Institute of Panyu, Guangzhou, China.
Dongya ChenPhysical Examination Section, Guangzhou Panyu Central Hospital, Guangzhou, China.
Hanwei ChenMedical Imaging Institute of Panyu, Guangzhou, China.ORCID https://orcid.org/0000-0002-9618-542X
Guoxi XieDepartment of Biomedical Engineering, School of Basic Medical Sciences, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Panyu Hospital of Chinese Medicine · CNGuangzhou Medical University · CNPanyu District Central Hospital · CNShenzhen Institutes of Advanced Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMagnetic resonance (MR) black-blood thrombus imaging (BTI) is an accurate diagnostic technique for detecting deep vein thrombosis (DVT) but to date there have been no studies comparing the diagnostic performance and consistency of this technique at different field strengths. In this study, we evaluated and compared the diagnostic performance of BTI for detecting DVT at 1.5 T and 3.0 T field strengths.

methodsA total of 40 patients with DVT were enrolled in this study from November 2015 up to October 2018. All patients underwent BTI, a contrast-free T1-weighted MR imaging technique for detecting DVT, and contrast-enhanced MR venography (CE-MRV) at 1.5 T or 3.0 T field strengths. The MR data analyses used 1160 segments from the venous lumen of the 40 patients. The signal-to-noise ratio and contrast-to-noise ratio between thrombus and muscle/lumen were calculated to compare BTI at 1.5 T or 3.0 T to determine the image performance for thrombus detection at 1.5 T or 3.0 T. Two physicians blinded to the study evaluated all BTI images and calculated the overall sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV), accuracy, and diagnostic consistency at 1.5 T and 3.0 T. These images and values were compared to control CE-MRV images that had been obtained by 2 senior physicians and used as reference standards. In addition, the reliability and consistency of diagnoses between observers were also evaluated.

resultsTwo study-blind physicians reviewed all BTI images to diagnose thrombus and to determine SE, SP, PPV, NPV, and accuracy. There were no statistical differences in SE, SP, PPV, NPV, or accuracy between the 1.5 T and 3.0 T groups.

conclusionsBlack-blood thrombus imaging has high SE, SP, and accuracy for DVT diagnosis both at 1.5 T and 3.0 T field strengths. This noninvasive diagnostic technique, which does not require the use of contrast agents, can be widely used in the clinical screening of DVT and follow-up after treatment.

Indexed as

FemaleHumansMagnetic Resonance AngiographyMaleVenous Thrombosisblack-blood thrombus imagingdeep vein thrombosismagnetic resonance imaging

Identifiers

PMID32320276
PMCPMC7288798
OpenAlexW3018848831

What OpenQuestion holds

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Registered trials

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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.