Evidence map›Paper›PMID 28584227›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

Quantitative Analysis of Lipid-Rich Necrotic Core in Carotid Atherosclerotic Plaques by In Vivo Magnetic Resonance Imaging and Clinical Outcomes.

Jun Xia, Anyu Yin, Zhenzhou Li, Xin Liu, Xianghong Peng, Ni Xie

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Review
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  10. Review
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  12. Co-existing cerebrovascular atherosclerosis predicts subsequent vascular event: a multi-contrast cardiovascular magnetic resonance imaging study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Article
  13. Article
  14. Article
  15. Pathophysiology of cardiovascular disease in diabetes mellitus.Cardiovascular endocrinology & metabolism · 2018
    Review
  16. Detection of Atherosclerotic Plaques in the Rabbit Aorta Using Ultrasound Microbubbles Conjugated to Interleukin-18 Antibodies.Medical science monitor : international medical journal of experimental and clinical research · 2017
    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

6 authors at 4 institutions in 1 country.

Jun XiaDepartment of Radiology, Shenzhen No.2 People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen, Guangdong, China (mainland).
Anyu YinDepartment of Radiology, Shenzhen No.2 People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen, Guangdong, China (mainland).
Zhenzhou LiDepartment of Ultrasound, Shenzhen No. 2 People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen, Guangdong, China (mainland).
Xin LiuShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China (mainland).
Xianghong PengCore Laboratory, Shenzhen No. 2 People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen, Guangdong, China (mainland).
Ni XieCore Laboratory, Shenzhen No. 2 People's Hospital (the First Affiliated Hospital of Shenzhen University), Shenzhen, Guangdong, China (mainland).
Shenzhen Second People's Hospital · CNShenzhen Institutes of Advanced Technology · CNShenZhen People’s Hospital · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of this study was to explore the accuracy of in vivo magnetic resonance imaging (MRI) in the quantitative evaluation of lipid-rich necrotic core (LRNC) in carotid atherosclerotic plaques compared with histopathology, and to assess the association of LRNC size with cerebral ischemia symptoms. MATERIAL AND METHODS Thirty patients were enrolled and 19 patients (16 men and 3 women) were analyzed. All the patients were submitted to MRI on a Siemens Avanto (1.5-Tesla) device before carotid endarterectomy (CEA). The scanning protocol included three-dimensional time of flight (3D TOF), T1-weighted image (T1WI), T2-weighted image (T2WI), turbo spin-echo T2-weighted (T2-TSE), and contrast-enhanced T1-weighted image. MRI images were reviewed for quantitative measurements of LRNC areas. LRNC specimens were collected for histology. Percentages of LRNC area to total vessel area were assessed to determine the association of MRI with histological findings. RESULTS There were 151 pairs of matched MRI and pathological sections. LRNC area percentages (LRNC area/vessel area) measured by MRI and histology were 20.6±9.0% and 18.7±9.5%, respectively (r=0.69, p<0.001). Twelve out of 19 patients had symptoms (S-group; 3 had recent stroke, 3 had a recent stroke and a history of transient ischemic attack (TIA), and 6 had TIA); the remaining 7 subjects showed no symptoms (NS-group). LRNC area percentages in the S- and NS-groups were 22.2±5.8% and 12.6±10.7%, respectively (p<0.05). CONCLUSIONS MRI can quantitatively measure LRNC in carotid atherosclerotic plaques, and may be useful in predicting the rupture risk of plaques. These findings provide a basis for imaging use in individualized treatment plan.

Indexed as

Magnetic Resonance ImagingAgedCarotid ArteriesHumansImage Processing, Computer-AssistedLipidsNecrosisPlaque, AtheroscleroticTreatment OutcomeLipids

Identifiers

PMID28584227
PMCPMC5470833
OpenAlexW2622300011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.