Evidence map›Paper›PMID 34120627›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2021

Identification of high risk clinical and imaging features for intracranial artery dissection using high-resolution cardiovascular magnetic resonance.

Zhang Shi, Xia Tian, Bing Tian, Zakaria Meddings, Xuefeng Zhang, Jing Li, David Saloner, Qi Liu, Zhongzhao Teng, Jianping Lu

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 10 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

10 authors at 2 institutions in 2 countries.

Zhang Shi *Department of Radiology, Changhai Hospital, Naval Medical University, 10 Building, 168 Changhai Road, Yangpu, Shanghai, 200433, China.
Xia Tian *Department of Radiology, Changhai Hospital, Naval Medical University, 10 Building, 168 Changhai Road, Yangpu, Shanghai, 200433, China.
Bing TianDepartment of Radiology, Changhai Hospital, Naval Medical University, 10 Building, 168 Changhai Road, Yangpu, Shanghai, 200433, China. tianbing2003@163.com.ORCID 0000-0003-2446-4363
Zakaria MeddingsDepartment of Radiology, Addenbrooks' Hospital, University of Cambridge, Cambridge, UK.
Xuefeng ZhangDepartment of Radiology, Changhai Hospital, Naval Medical University, 10 Building, 168 Changhai Road, Yangpu, Shanghai, 200433, China.
Jing LiDepartment of Radiology, Changhai Hospital, Naval Medical University, 10 Building, 168 Changhai Road, Yangpu, Shanghai, 200433, China.
David SalonerDepartment of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA.
Qi LiuDepartment of Radiology, Changhai Hospital, Naval Medical University, 10 Building, 168 Changhai Road, Yangpu, Shanghai, 200433, China.
Zhongzhao TengDepartment of Radiology, Addenbrooks' Hospital, University of Cambridge, Cambridge, UK.
Jianping LuDepartment of Radiology, Changhai Hospital, Naval Medical University, 10 Building, 168 Changhai Road, Yangpu, Shanghai, 200433, China. cjr.lujianping@vip.163.com.
Second Military Medical University · CNUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntracranial artery dissection (IAD) often causes headache and cerebral vascular ischemic events. The imaging characteristics of IAD remain unclear. This study aims to characterize the appearance of culprit and non-culprit IAD using high-resolution cardiovascular magnetic resonance imaging (hrCMR) and quantify the incremental value of hrCMR in identifying higher risk lesions.

methodsImaging data from patients who underwent intervention examination or treatment using digital subtraction angiography (DSA) and hrCMR using a 3 T CMR system within 30 days after the onset of neurological symptoms were collected. The CMR protocol included diffusion-weighted imaging (DWI), black blood T1-, T2- and contrast-enhanced T1-weighted sequences. Lesions were classified as culprit and non-culprit according to imaging findings and patient clinical presentations. Univariate and multivariate analyses were performed to assess the difference between culprit and non-culprit lesions and complementary value of hrCMR in identifying higher risk lesions.

resultsIn total, 75 patients were included in this study. According to the morphology, lesions could be classified into five types: Type I, classical dissection (n = 50); Type II, fusiform aneurysm (n = 1); Type III, long dissected aneurysm (n = 3); Type IV, dolichoectatic dissecting aneurysm (n = 9) and Type V, saccular aneurysm (n = 12). Regression analyses showed that age and hypertension were both associated with culprit lesions (age: OR, 0.83; 95% CI 0.75-0.92; p < 0.001 and hypertension: OR, 66.62; 95% CI 5.91-751.11; p = 0.001). Hematoma identified by hrCMR was significantly associated with culprit lesions (OR, 16.80; 95% CI 1.01-280.81; p = 0.037). Moreover, 17 cases (16 lesions were judged to be culprit) were diagnosed as IAD but not visible in DSA and 15 were Type I lesion.

conclusionhrCMR is helpful in visualizing and characterizing IAD. It provides a significant complementary value over DSA for the diagnosis of IAD.

Indexed as

Aortic DissectionArteriesDissectionHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMagnetic Resonance SpectroscopyPredictive Value of TestsCardiovascular magnetic resonanceIntracranial artery dissectionIntramural hematomaMRIStroke

Identifiers

PMID34120627
PMCPMC8201847
OpenAlexW3169851899

What OpenQuestion holds

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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.