Evidence map›Paper›PMID 32975662›Full record

ArticleEuropean radiology2021

A clinical strategy to improve the diagnostic accuracy of 1.5-T non-contrast MR coronary angiography for detection of coronary artery disease: combination of whole-heart and volume-targeted imaging.

Lu Lin, Liang Wang, Xiao-Na Zhang, Xiao Li, Jian Wang, Zhu-Jun Shen, Wei Chen, Zheng-Yu Jin, Yi-Ning Wang

Abstract read
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In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Diagnostic accuracy of whole heart coronary magnetic resonance angiography: a systematic review and meta-analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Pooled it
  2. Article
  3. Review
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  5. Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  6. Article
  7. A clinical strategy to improve the diagnostic performance of 3T non-contrast coronary MRA and noninvasively evaluate coronary distensibility: combination of diastole and systole imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
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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

9 authors.

Lu LinDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Liang WangDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Xiao-Na ZhangDepartment of Health Care & Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Xiao LiDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Jian WangDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Zhu-Jun ShenDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Wei ChenDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Zheng-Yu JinDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China. jinzy@pumch.cn.
Yi-Ning WangDepartment of Health Care & Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China. wangyining@pumch.cn.ORCID http://orcid.org/0000-0003-3193-2487

Funding

Central Research Institure Fund of Peking Union Medical College 3332020008National Key R&D Program during the 13th Five-Year period (CN) NO. 2016YFC1300402National Natural Science Foundation of China NO. 81873891Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences Gran NO. 2018RC320004
6 · The paper itself

Abstract

objectivesTo evaluate the diagnostic performance of 1.5-T non-contrast MR coronary angiography (MRCA) for detection of coronary artery disease (CAD) using whole-heart imaging combined with volume-targeted imaging.

methodsForty-five patients scheduled for conventional coronary angiography (CAG) underwent 1.5-T free-breathing non-contrast steady-state free-precession MRCA, including whole-heart and subsequent three-vessel volume-targeted imaging. Coronary stenosis was evaluated as follows: (1) by whole-heart MRCA alone; (2) by combined MRCA (whole-heart plus volume-targeted images). The diagnostic performance for significant stenosis (≥ 50% diameter reduction) was evaluated and compared using CAG as a reference standard.

resultsCombined MRCA was completed in all 45 patients with a total acquisition time of 16.6 ± 3.3 min. The sensitivity, specificity, and accuracy of combined MRCA per patient were 97% (95% confidence interval 84-100%), 83% (52-98%), and 93% (82-98%), respectively. The areas under the receiver operating characteristic curve of combined MRCA were significantly higher than those of whole-heart MRCA on a per patient (0.97 versus 0.85, p = 0.0078) and per vessel (0.96 versus 0.86, p < 0.0001) basis. Compared with whole-heart MRCA, combined MRCA showed equally high sensitivity but significantly improved specificity on a per patient (83% versus 25%, p = 0.016) and per vessel (85% versus 50%, p < 0.0001) basis.

conclusions1.5-T non-contrast MRCA combining whole-heart and volume-targeted imaging can detect significant CAD with high sensitivity and moderate specificity. Combined MRCA significantly improves specificity compared with whole-heart imaging alone. KEY POINTS: • 1.5-T non-contrast MRCA with combined whole-heart and volume-targeted imaging can detect CAD with high sensitivity and moderate specificity comparable with coronary CTA. • Compared with whole-heart imaging alone, combined imaging provides improved diagnostic accuracy, especially specificity.

Indexed as

Coronary Artery DiseaseCoronary StenosisCoronary AngiographyHumansMagnetic Resonance AngiographySensitivity and SpecificityCoronary angiographyCoronary artery diseaseDiagnostic testMagnetic resonance angiography

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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.