Evidence map›Paper›PMID 32661842›Full record

ArticleMagma (New York, N.Y.)2021

Combine contrast-enhanced 3D T2-weighted short inversion time inversion recovery MR neurography with MR angiography at 1.5 T in the assessment of brachial plexopathy.

Zhengdao Xu, Tonghua Zhang, Jianxin Chen, Zongbao Liu, Tao Wang, Yijiang Hu, Jiahui Zhang, Feifei Xue

Abstract read
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In one paragraph

Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Magnetic resonance tractography of the brachial plexus: step-by-step.Quantitative imaging in medicine and surgery · 2022
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  6. Review
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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

8 authors at 2 institutions in 1 country.

Zhengdao XuDepartment of Radiology, The Affiliated Zhangjiagang Hospital of Soochow University, 68 Jiyang West Road, Zhangjiagang, 215600, Jiangsu, China.ORCID http://orcid.org/0000-0001-5096-3217
Tonghua ZhangDepartment of Radiology, The Affiliated Zhangjiagang Hospital of Soochow University, 68 Jiyang West Road, Zhangjiagang, 215600, Jiangsu, China.ORCID http://orcid.org/0000-0003-1613-1817
Jianxin ChenDepartment of Radiology, The Affiliated Zhangjiagang Hospital of Soochow University, 68 Jiyang West Road, Zhangjiagang, 215600, Jiangsu, China.ORCID http://orcid.org/0000-0001-7240-0650
Zongbao LiuDepartment of Orthopedics, The Affiliated Zhangjiagang Hospital of Soochow University, 68 Jiyang West Road, Zhangjiagang, 215600, Jiangsu, China. liuzongbao1102@163.com.ORCID http://orcid.org/0000-0002-3033-6213
Tao WangDepartment of Hand Surgery and Shanghai Key Laboratory for Peripheral Nerve and Microsurgery, Fudan University Huashan Hospital, 12 Wulumuqi Middle Road, Shanghai, 200040, China.ORCID http://orcid.org/0000-0002-0021-3669
Yijiang HuDepartment of Radiology, The Affiliated Zhangjiagang Hospital of Soochow University, 68 Jiyang West Road, Zhangjiagang, 215600, Jiangsu, China.ORCID http://orcid.org/0000-0003-0036-7980
Jiahui ZhangDepartment of Radiology, The Affiliated Zhangjiagang Hospital of Soochow University, 68 Jiyang West Road, Zhangjiagang, 215600, Jiangsu, China.ORCID http://orcid.org/0000-0003-0096-4953
Feifei XueDepartment of Radiology, The Affiliated Zhangjiagang Hospital of Soochow University, 68 Jiyang West Road, Zhangjiagang, 215600, Jiangsu, China.ORCID http://orcid.org/0000-0003-1105-041X
Soochow University · CNFudan University · CN

Funding

Shanghai Key Laboratory for Peripheral Nerve and Microsurgery 17DZ2270500Zhangjiagang Bureau of Technology ZKS1729
6 · The paper itself

Abstract

purposeTo explore the benefits of using a single injection of contrast agent at a 1.5 T system to perform both contrast-enhanced MR angiography (MRA) and 3D-T2-STIR MR neurography (MRN) to assess of brachial plexopathy.

methodsIn this prospective study, 27 patients with suspected brachial plexopathy, received an imaging procedure composed sequentially of non-enhanced 3D-T2-STIR, CE-MRA, and contrast-enhanced 3D-T2-STIR, using a 1.5 T MR scanner. Signal intensities and contrast ratios were compared with and without contrast agent. The non-enhanced and contrast-enhanced 3D-T2-STIR images were mixed for two experienced radiologists to rate image diagnostic quality in a blind manner. 3D images of MRN and MRA were merged to reveal the spatial relation between brachial plexopathy and concomitant vascular disorders.

resultsBy comparing the non-enhanced with contrast-enhanced 3D-T2-STIR images, it revealed that the use of the contrast agent in 3D-T2-STIR MRN could significantly suppress the background signals contributed by small vein (P < 0.001), lymph node (P < 0.001), muscle (P < 0.001) and bone (P < 0.001). This improved the contrast ratios between the brachial plexus and its surrounding tissues (P < 0.001) and boosted the image's quality score (P < 0.01). Examining both CE-MRA and 3D-T2-STIR images revealed a relatively high incidence of concurrent vascular dysfunction in brachial plexopathy, with 39% of confirmed cases accompanied with subclavian and axillary vessel abnormalities.

conclusionCombining contrast-enhanced 3D-T2-STIR MRN with MRA at a 1.5 T system significantly suppresses background signals, improves brachial-plexus display, and provides a direct assessment for both brachial plexus lesion and surrounding vascular injury.

Indexed as

Brachial PlexusBrachial Plexus NeuropathiesAngiographyHumansMagnetic Resonance ImagingProspective StudiesBrachial plexopathyBrachial plexusContrast agentMagnetic resonance angiographyMagnetic resonance neurography

Identifiers

PMID32661842
OpenAlexW3042577705

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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.