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Related Experiment Video

Updated: May 14, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

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Published on: April 11, 2025

Cardiac MRI in MINOCA: Current Evidence, Parametric Mapping Advances, and Future AI Applications-A Systematic Review.

Diana Alexandra Pepelea¹, Roxana E Coroiu^1,2, Eliza M Aron^1,2

¹Clinical Laboratory of Radiology and Medical Imaging, Brasov's Emergency County Hospital, Calea Bucuresti, Nr. 25-27, 500326 Brasov, Romania.

Diagnostics (Basel, Switzerland)

|May 13, 2026

Summary

Cardiac magnetic resonance (CMR) significantly improves diagnosis and reclassification of myocardial infarction with nonobstructive coronary arteries (MINOCA), especially when performed early with parametric mapping. Advanced techniques like AI show future promise.

Keywords:

MINOCA Radiomics/AI T1/T2 mapping cardiac magnetic resonance diagnostic yield extracellular volume (ECV)late gadolinium enhancement (LGE)myocardial infarction with nonobstructive coronary arteries

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Area of Science:

Cardiology
Medical Imaging
Artificial Intelligence

Background:

Myocardial infarction with nonobstructive coronary arteries (MINOCA) presents diverse etiologies, including ischemic and non-ischemic causes.
Cardiac magnetic resonance (CMR) is crucial for diagnosing MINOCA.
Parametric mapping and AI/radiomics offer potential advancements.

Purpose of the Study:

To review current CMR evidence in MINOCA.
To highlight advances in parametric mapping.
To explore future directions in AI and radiomics for MINOCA.

Main Methods:

Systematic literature search of PubMed and DOAJ.
Inclusion of prospective and retrospective CMR studies in adults with MINOCA.
Thematic synthesis of data into diagnostic yield, reclassification, timing, prognosis, and future directions.

Main Results:

CMR shows substantial diagnostic yield and consistently reclassifies MINOCA diagnoses.
Parametric mapping (T1, T2, ECV) provides incremental diagnostic and prognostic value.
Early CMR (1-2 weeks) enhances diagnostic yield; AI/radiomics show promise but require validation.

Conclusions:

Early CMR with standardized parametric mapping improves diagnostic yield and reclassification in MINOCA.
Mapping aids in detecting inflammatory/diffuse injuries and prognostic stratification.
Future refinements include AI, radiomics, and OCT, requiring prospective validation.