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Multimodal mAgnetic Resonance imaGIng in Cardiovascular Disease (MAGIC)

26. juli 2026 oppdatert av: Second Affiliated Hospital, School of Medicine, Zhejiang University

Multimodal-MRI in Cardiovascular Diseases

This single-center, prospective, observational cohort study aims to evaluate the clinical application value of multi-modal cardiovascular magnetic resonance (CMR) imaging in patients with cardiovascular diseases (CVD).

While traditional imaging methods have limitations in fully evaluating myocardial tissue characteristics, multi-modal CMR offers a comprehensive, non-invasive "one-stop" assessment. It can simultaneously evaluate heart structure, function, tissue features (such as fibrosis and edema), and hemodynamics.

The study plans to enroll patients with suspected or confirmed CVD. Participants will undergo a comprehensive multi-modal CMR scan (including Cine, T1/T2 mapping, Late Gadolinium Enhancement, and 4D flow sequences) as part of their evaluation. In addition to clinical evaluation, the study will explore sequence optimization (e.g., comparing pre-contrast vs. post-contrast Cine, and 3-slice vs. 9-slice T1 mapping) and evaluate deep learning-based virtual native enhancement (VNE) models trained under different sequence protocols.

By tracking clinical outcomes, the study seeks to establish a standardized imaging assessment system to improve the early detection, accurate diagnosis, risk stratification, and prognostic prediction for various types of cardiovascular diseases.

Studieoversikt

Status

Rekruttering

Forhold

Intervensjon / Behandling

Detaljert beskrivelse

Cardiovascular disease (CVD) remains a leading cause of global mortality and disability. Accurate and early assessment of cardiac structure, function, and myocardial tissue characteristics is crucial for optimal clinical management. Cardiac Magnetic Resonance (CMR) has evolved from single morphological imaging into advanced multi-modal imaging. By integrating Cine, Late Gadolinium Enhancement (LGE), T1/T2 mapping, and 4D flow techniques, multi-modal CMR serves as a "gold standard" that provides a comprehensive macroscopic and cellular-level evaluation, including the identification of myocardial fibrosis, edema, and complex hemodynamic alterations.

Despite its clinical potential, systematic research comparing the diagnostic efficacy and prognostic value of multi-modal CMR features across a broad spectrum of cardiovascular diseases (such as ischemic heart disease, non-ischemic cardiomyopathy, and valvular diseases) is still lacking. Furthermore, optimization of scan efficiency, standardization of sequence acquisition protocols, and the development of contrast-free or AI-driven virtual imaging techniques (such as deep learning-based virtual native enhancement ) represent critical avenues to enhance clinical utility.

This prospective, observational registry study is designed to address this gap by establishing a large-scale, standardized CMR imaging database. Approximately 2,000 patients with clinically suspected or confirmed CVD will be consecutively enrolled. Following routine clinical care pathways, participants will undergo a "one-stop" multi-modal CMR examination using 3.0T MRI scanners.

To refine imaging protocols and validate novel synthetic imaging algorithms, a subset/sub-cohort analysis will specifically investigate the impacts of acquisition parameters-comparing performance between pre-contrast Cine vs. post-contrast Cine, as well as 3-slice vs. 9-slice T1 mapping protocols-on downstream machine learning/deep learning models for virtual native enhancement and tissue characterization.

The primary objectives are to: 1) systematically delineate the imaging feature spectrum across different CVD subtypes; 2) optimize multi-modal CMR acquisition protocols and validate deep learning models for virtual image generation (e.g., VNE); 3) assess the sensitivity of hemodynamic and tissue-characterization parameters (especially T1 mapping and extracellular volume [ECV]) in detecting early cardiac damage; and 4) explore the correlation between multi-modal CMR parameters and major adverse cardiovascular events (MACE) during the follow-up period. Ultimately, this study aims to provide robust, evidence-based support for precision diagnosis and risk stratification in cardiovascular medicine.

Studietype

Observasjonsmessig

Registrering (Antatt)

2000

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studer Kontakt Backup

Studiesteder

  • Kina
    • Zhejiang
      • Hangzhou, Zhejiang, Kina, 310009
        • Rekruttering
        • The Second Affiliated Hospital Zhejiang University School of Medicine
        • Ta kontakt med:

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen
  • Eldre voksen

Tar imot friske frivillige

Nei

Prøvetakingsmetode

Ikke-sannsynlighetsprøve

Studiepopulasjon

The study population consists of consecutive adult patients (aged 18 years and older) who are clinically suspected or confirmed to have cardiovascular diseases (CVD), including but not limited to ischemic heart disease, non-ischemic cardiomyopathy, myocarditis, and valvular heart disease. These participants are enrolled from the Second Affiliated Hospital Zhejiang University School of Medicine. They are patients who are scheduled to undergo a multi-modal cardiac magnetic resonance (CMR) examination as part of their clinical evaluation to determine disease etiology or assess myocardial tissue characteristics.

Beskrivelse

Inclusion Criteria:

  • Aged 18 years and older, with no gender restrictions.

Clinically suspected or confirmed cardiovascular disease (including but not limited to ischemic heart disease, non-ischemic cardiomyopathy, myocarditis, valvular disease, etc.), requiring a cardiac magnetic resonance (CMR) examination to determine the etiology or evaluate myocardial tissue characteristics.

No contraindications to magnetic resonance examination, and able to cooperate with breath-holding instructions.

Voluntarily participate in this study and sign a written informed consent form.

Exclusion Criteria:

  • Absolute contraindications: Implantation of non-MRI compatible metallic foreign bodies (e.g., old pacemakers, implantable cardioverter-defibrillators [ICD], aneurysm clips, etc.).

Relative contraindications: Severe claustrophobia, unable to complete the examination despite communication.

Severe renal insufficiency.

Special populations: Pregnant or lactating women.

Presence of severe arrhythmias (e.g., persistent atrial fibrillation) leading to severely impaired magnetic resonance signal acquisition, rendering the image quality inadequate for diagnosis.

Poor expected compliance: Unable to complete follow-up, or deemed unsuitable for enrollment by the investigator for other reasons.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Diagnostic Efficacy of Multi-modal CMR Parameters (AUC)
Tidsramme: Baseline (at the time of CMR scan)
The Area Under the Receiver Operating Characteristic Curve (AUC) will be calculated to assess the diagnostic performance of multi-modal CMR parameters (specifically T1 mapping and extracellular volume [ECV]) in differentiating various types of cardiovascular diseases (e.g., ischemic vs. non-ischemic). The final clinical diagnosis based on ESC/ACC guidelines will serve as the gold standard.
Baseline (at the time of CMR scan)

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Correlation Between Imaging Parameters and Clinical Indicators
Tidsramme: Baseline
To evaluate the Pearson or Spearman correlation coefficients between multi-modal CMR parameters (such as LGE, T1/T2 mapping, 4D flow metrics) and clinical functional/laboratory indicators.
Baseline
Incidence of Major Adverse Cardiovascular Events (MACE)
Tidsramme: Up to 3 years
To evaluate the occurrence rate of MACE during the follow-up period. MACE is defined as a composite of cardiac death, readmission for heart failure, malignant arrhythmia (sustained ventricular tachycardia/ventricular fibrillation), and non-fatal myocardial infarction.
Up to 3 years
Model performance for virtual native enhancement across different sequence acquisition protocols
Tidsramme: At baseline
Model performance for virtual LGE generation across sequence protocols: Structural Similarity Index Measure (SSIM)
At baseline
Model performance for virtual LGE generation across sequence protocols: Peak Signal-to-Noise Ratio (PSNR)
Tidsramme: At baseline
Peak Signal-to-Noise Ratio (PSNR) will be evaluated to compare virtual LGE algorithms trained on pre- vs. post-contrast Cine and 3-slice vs. 9-slice T1 mapping protocols.
At baseline
Model performance for virtual LGE generation across sequence protocols: DICE coefficient
Tidsramme: At baseline
DICE coefficient will be evaluated to compare virtual LGE algorithms trained on pre- vs. post-contrast Cine and 3-slice vs. 9-slice T1 mapping protocols.
At baseline

Samarbeidspartnere og etterforskere

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Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Publikasjoner og nyttige lenker

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Generelle publikasjoner

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

1. januar 2026

Primær fullføring (Antatt)

31. desember 2028

Studiet fullført (Antatt)

31. desember 2028

Datoer for studieregistrering

Først innsendt

26. mai 2026

Først innsendt som oppfylte QC-kriteriene

26. mai 2026

Først lagt ut (Faktiske)

1. juni 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

28. juli 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

26. juli 2026

Sist bekreftet

1. mai 2026

Mer informasjon

Begreper knyttet til denne studien

Nøkkelord

Ytterligere relevante MeSH-vilkår

Andre studie-ID-numre

  • 2026-0319

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

IPD-planbeskrivelse

The individual participant data (IPD) will not be shared because of current institutional policies and national data security regulations regarding the protection of patient privacy and human genetic resources. The data contains sensitive medical imaging information that is restricted from being transferred or shared outside the participating institution without specific governmental and ethical approvals.

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

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