Evidence map›Paper›PMID 29098439›Full record

ArticleEuropean radiology2018

Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study.

Dongye Li, Huilin Zhao, Xiaoyi Chen, Shuo Chen, Huiyu Qiao, Le He, Rui Li, Jianrong Xu, Chun Yuan, Xihai Zhao

Abstract read
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In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  11. PET/MRI of atherosclerosis.Cardiovascular diagnosis and therapy · 2020
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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

10 authors at 5 institutions in 2 countries.

Dongye LiCentre for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China.
Huilin ZhaoDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaoyi ChenCentre for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China.
Shuo ChenCentre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China.
Huiyu QiaoCentre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China.
Le HeCentre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China.
Rui LiCentre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China.
Jianrong XuDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chun YuanCentre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China.
Xihai ZhaoCentre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China. xihaizhao@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-8953-0566
Tsinghua University · CNCapital Medical University · CNShanghai Jiao Tong University · CNChinese Institute for Brain Research · CNUniversity of Washington · US

Funding

Beijing Municipal Science and Technology Project D131100002313002National Natural Science Foundation of China 81271536National Natural Science Foundation of China 81361120402
6 · The paper itself

Abstract

objectivesTo investigate the usefulness of Simultaneous Non-contrast Angiography and intraPlaque haemorrhage (SNAP) imaging in characterising carotid intraplaque haemorrhage (IPH) compared with magnetisation-prepared rapid acquisition gradient-echo (MP-RAGE) sequence.

methodsFifty-four symptomatic patients (mean age: 63.1 ± 5.7 years, 38 males) with carotid atherosclerosis were recruited and underwent carotid MR imaging. The presence and area of IPH on SNAP and MP-RAGE images were determined. The agreement in identifying IPH and its area between SNAP and MP-RAGE was analysed.

resultsOf 1368 slices with acceptable image quality in 54 patients, 13% and 22.6% were found to have IPH on MP-RAGE and SNAP images, respectively. There was moderate agreement between MP-RAGE and SNAP sequences in identifying IPH (κ = 0.511, p = 0.029). The area of IPH on SNAP images was significantly larger than that on MP-RAGE images (17.9 ± 18.2 mm

conclusionCompared with the MP-RAGE sequence, SNAP imaging detects more IPHs, particularly for smaller IPHs, suggesting that SNAP imaging might be a more sensitive tool for identification of carotid haemorrhagic plaques. KEY POINTS: • Moderate agreement was found between SNAP and MP-RAGE in identification of IPH • SNAP imaging might be a more sensitive tool to detect carotid IPHs • Compared with the MP-RAGE sequence, SNAP imaging can detect carotid IPHs with smaller size • SNAP imaging can help clinicians to optimise the treatment strategy.

Indexed as

AdultAgedAged, 80 and overAngiographyCarotid ArteriesCarotid Artery DiseasesFemaleHemorrhageHumansMagnetic Resonance ImagingMaleMiddle AgedAtherosclerosisCarotid arteryIntraplaque haemorrhage (IPH)Magnetic resonance imagingSNAP

Identifiers

PMID29098439
OpenAlexW2765686185

What OpenQuestion holds

Textmetadata
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.