Evidence map›Paper›PMID 33392028›Full record

ArticleQuantitative imaging in medicine and surgery2021

Time-efficient and contrast-free magnetic resonance imaging approach to the diagnosis of deep vein thrombosis on black-blood gradient-echo sequence: a pilot study.

Huan Mao, Xiuhong Guan, Kewen Peng, Yanjun Cai, Jing Yang, Xueping He, Hanwei Chen, Xiaoyong Zhang, Xiaoming Bi, Xin Liu and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. 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
0.5field-weighted citation impact, top 28% 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, 4 citations in OpenAlex.

  1. Review
  2. Review
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

14 authors at 6 institutions in 2 countries.

Huan MaoDepartment of Biomedical Engineering, The Sixth Affiliated Hospital, School of Basic Sciences, Guangzhou Medical University, Guangzhou, China.
Xiuhong GuanDepartment of Biomedical Engineering, The Sixth Affiliated Hospital, School of Basic Sciences, Guangzhou Medical University, Guangzhou, China.
Kewen PengDepartment of Radiology, Nanshan People's Hospital, Shenzhen, China.
Yanjun CaiDepartment of Biomedical Engineering, The Sixth Affiliated Hospital, School of Basic Sciences, Guangzhou Medical University, Guangzhou, China.
Jing YangDepartment of Biomedical Engineering, The Sixth Affiliated Hospital, School of Basic Sciences, Guangzhou Medical University, Guangzhou, China.
Xueping HeDepartment of Radiology, Panyu Central Hospital, Guangzhou, China.
Hanwei ChenDepartment of Radiology, Panyu Central Hospital, Guangzhou, China.
Xiaoyong ZhangMR Collaborations, Siemens Healthcare Ltd., Shenzhen, China.
Xiaoming BiMR R&D, Siemens Healthineers, Los Angeles, CA, USA.
Xin LiuPaul C. Lauterbur Biomedical Imaging Center, Shenzhen Institutes of Advanced Technology, Shenzhen, China.
Debiao LiBiomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Zhaoyang FanBiomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Zhixian DengDepartment of Biomedical Engineering, The Sixth Affiliated Hospital, School of Basic Sciences, Guangzhou Medical University, Guangzhou, China.
Guoxi XieDepartment of Biomedical Engineering, The Sixth Affiliated Hospital, School of Basic Sciences, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNCedars-Sinai Medical Center · USPanyu District Central Hospital · CNShenzhen Institutes of Advanced Technology · CNSiemens (China) · CNSiemens Healthcare (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlack-blood thrombus imaging (BTI) has shown to be advantageous for the diagnosis of deep vein thrombosis (DVT). However, previous techniques using fast spin echo have a high specific absorption rate. As DANTE (delay alternating with nutation for tailored excitation) black-blood preparation can suppress blood flows over a broad range of velocities, we hypothesized that a DANTE black-blood preparation combined with a fast low-angle shot (FLASH) gradient-echo readout-DANTE-FLASH could be used to diagnose DVT.

methodsEleven healthy volunteers and 30 suspected DVT patients were recruited to undergo DANTE-FLASH and magnetic resonance direct thrombus imaging (MRDTI). The suspected DVT patients were also examined by ultrasound (US). For the segment level, a total of 1,066 venous vessel segments were analyzed. Using US and MRDTI as the references, the sensitivity (SE), specificity (SP), positive and negative predictive values (PPV and NPV), and accuracy (ACC) of DANTE-FLASH were calculated. To quantitatively compare image quality between DANTE-FLASH and MRDTI, image signal-to-noise ratio (SNR), apparent contrast-to-noise ratio (CNR) between muscle and the venous lumen, and the apparent CNR between the thrombus and venous lumen were measured. Additionally, diagnostic confidence, image quality, and clot burden were also evaluated.

resultsUsing the consensus results of US and MRDTI as a standard reference, the diagnostic SE, SP, PPV, NPV, and ACC of DANTE-FLASH for the 2 readers were 97.0% and 93.2%, 99.0% and 98.2%, 93.4% and 87.9%, 99.6% and 99.0%, and 98.8% and 97.6%, respectively. According to the image quantitative analysis results, DANTE-FLASH demonstrated higher image SNR and CNR than MRDTI. The image quality and diagnostic confidence scores of DANTE-FLASH were higher than MRDTI (3.66±0.44

conclusionsDANTE-FLASH provided better image quality than MRDTI and accurately detected thrombi. It may, therefore, serve as a safe and convenient alternative for the diagnosis of DVT.

Indexed as

Deep vein thrombosis (DVT)magnetic resonance imagingthrombus

Identifiers

PMID33392028
PMCPMC7719944
OpenAlexW3093225338

What OpenQuestion holds

Textmetadata
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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.