Evidence map›Paper›PMID 41735492›Full record

ArticleScientific reports2026

Differentiating ischemic from healthy myocardium using cardiovascular magnetic resonance dipyridamole rest and stress T1 mapping.

Yuan-Ting Chang, Chen-Yen Chien, Wei-Ming Huang, Chung-Lieh Hung, Qiang Zhang, Ricardo A Gonzales, Matthew K Burrage, Stefan K Piechnik, Vanessa M Ferreira, Chun-Ho Yun

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yuan-Ting Chang *Department of Radiology, Mackay Memorial Hospital, Taipei, Taiwan.
Chen-Yen Chien *Department of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Wei-Ming HuangDepartment of Radiology, Mackay Memorial Hospital, Taipei, Taiwan.
Chung-Lieh HungDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Qiang ZhangDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Ricardo A GonzalesDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Matthew K BurrageDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Stefan K PiechnikDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Vanessa M FerreiraDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Chun-Ho YunDepartment of Radiology, Mackay Memorial Hospital, Taipei, Taiwan. med202657@gmail.com.

Funding

Mackay Memorial Hospital 110-2314-B-195-020National Science Council NSTC 114-2314-B-195-016-
6 · The paper itself

Abstract

Cardiovascular magnetic resonance (CMR) stress T1 mapping using adenosine and regadenoson can differentiate ischemic, infarcted, and healthy myocardium. However, the effect of dipyridamole remains unclear. This study evaluates whether dipyridamole-induced stress T1-mapping can distinguish myocardial tissue types. Twenty-five healthy controls and 20 patients with coronary artery disease (CAD) underwent rest and dipyridamole stress T1-mapping (ShMOLLI), followed by gadolinium-based quantitative perfusion imaging at 1.5T. Native T1 values and stress T1 reactivity (dT1) were assessed across different myocardial tissues. Correlations between dT1 and myocardial blood flow (MBF) were examined. In healthy controls, global rest T1 was 934 ± 26ms, with a stress-induced increase of 6.5 ± 0.6% (p < 0.0001). Infarcted myocardium showed elevated resting T1 (1146 ± 71 ms) with an absent stress response (dT1 = -0.9%±1.8%). Ischemic myocardium had mildly elevated rest T1 (965 ± 26 ms; p < 0.001) and blunted reactivity (dT1 = 1.3 ± 0.6%) compared to healthy myocardium. Remote myocardium had rest T1 similar to normal tissue (936 ± 19 ms; p > 0.05) but reduced stress reactivity (dT1 = 4.5 ± 1.1%; p < 0.0001) compared to norm. dT1 strongly correlated with stress MBF (r = 0.80) and myocardial perfusion reserve (r = 0.70) (both p < 0.0001). Dipyridamole-induced stress T1-mapping can differentiate infarcted, ischemic, and healthy myocardium, supporting its use in non-contrast CMR for myocardial tissue characterization.

Indexed as

Coronary Artery DiseaseDipyridamoleHeartMagnetic Resonance ImagingMyocardial IschemiaMyocardiumAgedCase-Control StudiesCoronary CirculationFemaleHumansMaleMiddle AgedPerfusion Magnetic Resonance ImagingDipyridamoleCardiovascular magnetic resonanceDipyridamoleShMOLLIT1 mapping

Identifiers

PMID41735492
PMCPMC12988102

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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.