Evidence map›Paper›PMID 23901315›Full record

ArticleKorean journal of radiology

Optimizing the imaging protocol for ex vivo coronary artery wall using high-resolution MRI: an experimental study on porcine and human.

Jiong Yang, Tao Li, Xiaoming Cui, Weihua Zhou, Xin Li, Xinwu Zhang

Abstract readComparative Study
In one paragraph

Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiong YangDepartment of Medical, The General Hospital of Chinese People's Armed Police Forces, Beijing 100039, China.
Tao Li
Xiaoming Cui
Weihua Zhou
Xin Li
Xinwu Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo optimize the MR imaging protocol for coronary arterial wall depiction in vitro and characterize the coronary atherosclerotic plaques. MATERIALS AND

methodsMRI examination was prospectively performed in ten porcine hearts in order to optimize the MR imaging protocol. Various surface coils were used for coronary arterial wall imaging with the same parameters. Then, the image parameters were further optimized for high-resolution coronary wall imaging. The signal-noise ratio (SNR) and contrast-noise ratio (CNR) of images were measured. Finally, 8 human cadaver hearts with coronary atherosclerotic plaques were prospectively performed with MRI examination using optimized protocol in order to characterize the coronary atherosclerotic plaques.

resultsThe SNR and CNR of MR image with temporomandibular coil were the highest of various surface coils. High-resolution and high SNR and CNR for ex vivo coronary artery wall depiction can be achieved using temporomandibular coil with 512 × 512 in matrix. Compared with histopathology, the sensitivity and specificity of MRI for identifying advanced plaques were: type IV-V (lipid, necrosis, fibrosis), 94% and 95%; type VI (hemorrhage), 100% and 98%; type VII (calcification), 91% and 100%; and type VIII (fibrosis without lipid core), 100% and 98%, respectively.

conclusionTemporomandibular coil appears to be dramatically superior to eight-channel head coil and knee coil for ex vivo coronary artery wall imaging, providing higher spatial resolution and improved the SNR. Ex vivo high-resolution MRI has capability to distinguish human coronary atherosclerotic plaque compositions and accurately classify advanced plaques.

Indexed as

Image EnhancementAged, 80 and overAnimalsCoronary Artery DiseaseCoronary VesselsDiagnosis, DifferentialDisease Models, AnimalHumansMagnetic Resonance ImagingMalePlaque, AtheroscleroticProspective StudiesSensitivity and SpecificitySwineAtherosclerosisCoronary vesselsMagnetic resonance imagingPathology

Identifiers

PMID23901315
PMCPMC3725352

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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.