Evidence map›Paper›PMID 26642757›Full record

ArticleBMC cardiovascular disorders2015

Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI.

Chun-Ho Yun, Jui-Peng Tsai, Cheng-Ting Tsai, Greta S P Mok, Jing-Yi Sun, Chung-Lieh Hung, Tung-Hsin Wu, Wu-Ta Huang, Fei-Shih Yang, Jason Jeun-Shenn Lee and 4 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in BMC cardiovascular disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Pooled it
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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

14 authors.

Chun-Ho YunDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, 155 Li-Nong St., Sec. 2, Taipei, 112, Taiwan.
Jui-Peng TsaiDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, 155 Li-Nong St., Sec. 2, Taipei, 112, Taiwan.
Cheng-Ting TsaiDivision of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Greta S P MokBiomedical Imaging Laboratory, Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, SAR, China.
Jing-Yi SunDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, 155 Li-Nong St., Sec. 2, Taipei, 112, Taiwan.
Chung-Lieh HungDivision of Cardiology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Tung-Hsin WuDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, 155 Li-Nong St., Sec. 2, Taipei, 112, Taiwan. tung@ym.edu.tw.
Wu-Ta HuangDepartment of Radiology, Mackay Memorial Hospital, No. 92, Sec 2, Chungshan N. Rd, Taipei, 104, Taiwan. Hunag5379@gamil.com.
Fei-Shih YangDepartment of Radiology, Mackay Memorial Hospital, No. 92, Sec 2, Chungshan N. Rd, Taipei, 104, Taiwan.
Jason Jeun-Shenn LeeDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, 155 Li-Nong St., Sec. 2, Taipei, 112, Taiwan.
Ricardo C CuryCardiovascular MRI and CT Program, Baptist Cardiac Vascular Institute, Miami, FL, USA.
Anas FaresCardiovascular Department, University Hospitals Case Medical Center, Cleveland, USA.
Lemba Dina NshissoCardiovascular Department, University Hospitals Case Medical Center, Cleveland, USA.
Hiram G BezerraCardiovascular Department, University Hospitals Case Medical Center, Cleveland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background3 T MRI has been adopted by some centers as the primary choice for assessment of myocardial perfusion over conventional 1.5 T MRI. However, there is no data published on the potential additional value of incorporating semi-quantitative data from 3 T MRI. This study sought to determine the performance of qualitative 3 T stress magnetic resonance myocardial perfusion imaging (3 T-MRMPI) and the potential incremental benefit of using a semi-quantitative perfusion technique in patients with suspected coronary artery disease (CAD).

methodsFifty eight patients (41 men; mean age: 59 years) referred for elective diagnostic angiography underwent stress 3 T MRMPI with a 32-channel cardiac receiver coil. The MR protocol included gadolinium-enhanced stress first-pass perfusion (0.56 mg/kg, dipyridamole), rest perfusion, and delayed enhancement (DE). Visual analysis was performed in two steps. Ischemia was defined as a territory with perfusion defect at stress study but no DE or a territory with DE but additional peri-infarcted perfusion defect at stress study. Semi-quantitative analysis was calculated by using the upslope of the signal intensity-time curve during the first pass of contrast medium during dipyridamole stress and at rest. ROC analysis was used to determine the MPRI threshold that maximized sensitivity. Quantitative coronary angiography served as the reference standard with significant stenosis defined as >70 % diameter stenosis. Diagnostic performance was determined on a per-patient and per-vessel basis.

resultsQualitative assessment had an overall sensitivity and specificity for detecting significant stenoses of 77 % and 80 %, respectively. By adding MPRI analysis, in cases with negative qualitative assessment, the overall sensitivity increased to 83 %. The impact of MPRI differed depending on the territory; with the sensitivity for detection of left circumflex (LCx) stenosis improving the most after semi-quantification analysis, (66 % versus 83 %).

conclusionsPure qualitative assessment of 3 T MRI had acceptable performance in detecting severe CAD. There is no overall benefit of incorporating semi-quantitative data; however a higher sensitivity can be obtained by adding MPRI, especially in the detection of LCx lesions.

Indexed as

Coronary CirculationMagnetic Resonance ImagingAgedArea Under CurveAutomationContrast MediaCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedMyocardial Perfusion ImagingContrast Media

Identifiers

PMID26642757
PMCPMC4672524

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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.