Evidence map›Paper›PMID 28684455›Full record

ArticleAJNR. American journal of neuroradiology2017

Identification and Quantitative Assessment of Different Components of Intracranial Atherosclerotic Plaque by Ex Vivo 3T High-Resolution Multicontrast MRI.

Y Jiang, W Peng, B Tian, C Zhu, L Chen, X Wang, Q Liu, Y Wang, Z Xiang, A J Degnan and 3 more

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 8 citations in OpenAlex.

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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

13 authors at 7 institutions in 5 countries.

Y JiangFrom the Department of Radiology (Y.J.), Wuhan General Hospital of the People's Liberation Army, Wuhan, China.ORCID http://orcid.org/0000-0002-5278-8384
W PengDepartments of Radiology (Y.J., W.P., B.T., L.C., X.W., Q.L., J.L.).ORCID http://orcid.org/0000-0002-5543-3677
B TianDepartments of Radiology (Y.J., W.P., B.T., L.C., X.W., Q.L., J.L.).ORCID http://orcid.org/0000-0003-2446-4363
C ZhuDepartment of Radiology and Biomedical Imaging (C.Z., D.S.), University of California, San Francisco, San Francisco, California cjr.lujianping@vip.163.com Chengcheng.Zhu@ucsf.edu.ORCID http://orcid.org/0000-0001-6898-549X
L ChenDepartments of Radiology (Y.J., W.P., B.T., L.C., X.W., Q.L., J.L.).ORCID http://orcid.org/0000-0002-3742-9439
X WangDepartments of Radiology (Y.J., W.P., B.T., L.C., X.W., Q.L., J.L.).ORCID http://orcid.org/0000-0001-7003-4917
Q LiuDepartments of Radiology (Y.J., W.P., B.T., L.C., X.W., Q.L., J.L.).ORCID http://orcid.org/0000-0002-4105-2160
Y WangPathology (Y.W., Z.X.), Changhai Hospital, Shanghai, China.ORCID http://orcid.org/0000-0002-2789-0643
Z XiangPathology (Y.W., Z.X.), Changhai Hospital, Shanghai, China.ORCID http://orcid.org/0000-0002-8041-6641
A J DegnanDepartment of Radiology (A.J.D.), University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.ORCID http://orcid.org/0000-0002-7373-0990
Z TengDepartment of Radiology (Z.T.), University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3973-6157
D SalonerDepartment of Radiology and Biomedical Imaging (C.Z., D.S.), University of California, San Francisco, San Francisco, California.ORCID http://orcid.org/0000-0002-6989-8547
J LuDepartments of Radiology (Y.J., W.P., B.T., L.C., X.W., Q.L., J.L.) cjr.lujianping@vip.163.com Chengcheng.Zhu@ucsf.edu.ORCID http://orcid.org/0000-0002-0380-7470
L-3 Communications (United States) · USSecond Military Medical University · CNUniversity of California, San Francisco · USIHI Corporation (United States) · USUniversity of Cambridge · GBUniversity of Pittsburgh Medical Center · USWuhan General Hospital of Guangzhou · CN

Funding

MRI of Structure and Function in Assessing Hemodynamic Impact on AAA EvolutionR01HL114118 · NHLBI · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI SALONER, DAVID A · 2014 to 2017
$1.8M
Determinants of Intracranial Aneurysm GrowthR01NS059944 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALONER, DAVID A · 2009 to 2013
$1.7M
NHLBI NIH HHS R01 HL114118NINDS NIH HHS R01 NS059944
6 · The paper itself

Abstract

background and purposeHigh-resolution 3T MR imaging can visualize intracranial atherosclerotic plaque. However, histologic validation is still lacking. This study aimed to evaluate the ability of 3T MR imaging to identify and quantitatively assess intracranial atherosclerotic plaque components ex vivo with histologic validation. MATERIALS AND

methodsFifty-three intracranial arterial specimens with atherosclerotic plaques from 20 cadavers were imaged by 3T MR imaging with T1, T2, and proton-density-weighted FSE and STIR sequences. The signal characteristics and areas of fibrous cap, lipid core, calcification, fibrous tissue, and healthy vessel wall were recorded on MR images and compared with histology. Fibrous cap thickness and maximum wall thickness were also quantified. The percentage of areas of the main plaque components, the ratio of fibrous cap thickness to maximum wall thickness, and plaque burden were calculated and compared.

resultsThe signal intensity of the lipid core was significantly lower than that of the fibrous cap on T2-weighted, proton-density, and STIR sequences (

conclusionsEx vivo 3T MR imaging can accurately identify and quantitatively assess intracranial atherosclerotic plaque components, providing a direct reference for in vivo intracranial plaque imaging.

Indexed as

AgedBlood VesselsCadaverCalcinosisCost of IllnessFemaleHumansImage Processing, Computer-AssistedIntracranial ArteriosclerosisLipidsMagnetic Resonance ImagingMaleMiddle AgedPlaque, AtheroscleroticLipids

Identifiers

PMID28684455
PMCPMC7963689
OpenAlexW2727379647

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.