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CMR T1 Mapping for Diagnosis of Cardiac Amyloidosis

Native T1 Cardiac Magnetic Resonance Imaging for Diagnosis of Cardiac Amyloidosis

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04862273
Acronym
CMR for CA
Enrollment
112
Registered
2021-04-27
Start date
2021-04-01
Completion date
2024-12-01
Last updated
2026-04-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac Amyloidosis, Heart Failure NYHA Class II, Heart Failure NYHA Class III, Heart Failure NYHA Class IV, Heart Failure With Mid Range Ejection Fraction, Heart Failure With Preserved Ejection Fraction, Hypertrophy, Left Ventricular

Brief summary

The study aims to test the diagnostic accuracy of T1 mapping for the diagnosis of cardiac amyloidosis prospectively. The hypothesis is that T1 mapping in older patients with symptomatic heart failure, increased LV wall thickness and elevated cardiac biomarkers is non-inferior to the reference method to diagnose cardiac amyloidosis (CA). As secondary measure, a web-based ATTR probability estimator for the diagnosis of CA will be evaluated.

Detailed description

Cardiac amyloidosis (CA) is an important differential diagnosis in older patients with symptomatic heart failure with preserved or mid-range ejection fraction and increased left ventricular wall thickness. The prevalence of CA among patients with heart failure and left ventricular (LV) hypertrophy is approximately 13%. However, diagnosis of CA is challenging because specific clinical signs are often lacking. Amyloid fibrils deposit in the extracellular space of the myocardium increases myocardial T1 values on cardiac magnetic resonance (CMR). Therefore, T1 imaging provides a promising non-invasive method to identify CA. A preliminary retrospective analysis of 128 patients with increased LV wall thickness identified an area under the curve of 0.9954 (p\<0.0001) for native T1 to detect CA. The optimal cut-off value was 1341ms, with a sensitivity of 100% and a specificity of 97%. The investigators aim to test the diagnostic accuracy of T1 mapping for the diagnosis of CA compared to the reference method prospectively. Moreover, the web-based ATTR probability estimator for the diagnosis of CA will be evaluated.

Interventions

DIAGNOSTIC_TESTNative T1 CMR

Observed method

DIAGNOSTIC_TESTWeb-based ATTR probability estimator (Pfizer, New York)

Observed method

DIAGNOSTIC_TEST99mTc-DPD scintigraphy

Reference method

DIAGNOSTIC_TESTLaboratory screening for multiple myeloma / AL amyloidosis

Reference method

PROCEDURECardiac biopsy

If non-invasive tests for CA (99mTc-DPD scintigraphy, biochemistry) are inconclusive

Sponsors

University of Leipzig
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age ≥ 60 years * Symptomatic heart failure (NYHA II-IV) with LVEF ≥40% * Increased LV wall thickness (≥12mm end-diastolic) * NT-proBNP ≥1000pg/mL * Elevated hs-troponin T ≥14ng/L

Exclusion criteria

* Contraindications for CMR * Acute myocarditis * Acute myocardial infarction \<1 month * Severe aortic stenosis and RAISE score \< 2 points

Design outcomes

Primary

MeasureTime frameDescription
Diagnostic accuracy of T1 mapping for diagnosis of CAup to 7 daysComparison of CMR T1 mapping to the reference method for diagnosis of CA

Secondary

MeasureTime frameDescription
Diagnostic accuracy of ATTR probability estimator to predict CAup to 7 daysComparison of a probability score to predict ATTR with the final diagnosis of ATTR
Association of parametric T1 values with cardiovascular outcome1 yearAll-cause death, cardiovascular death and heart failure hospitalizations
Association of ATTR probability estimator values with cardiovascular outcome1 yearAll-cause death, cardiovascular death and heart failure hospitalizations

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 14, 2026