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American Heart Association

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Final ID: Su2083

Quantitative Cardiac Magnetic Resonance Standardized Signal Intensity Comparison in Dilated Cardiomyopathy versus Cardiac Sarcoidosis

Abstract Body (Do not enter title and authors here): Introduction/Background: Dilated cardiomyopathy (DCM) and cardiac sarcoidosis (CS) manifest unique late gadolinium enhancement (LGE) patterns on cardiac magnetic resonance (CMR), indicative of differing distributions of myocardial scar tissue. Nevertheless, these LGE patterns lack specificity, leading to significant overlap between the two conditions.

Goals/Aims: This study seeks to introduce a novel quantitative method employing z-score analysis of LGE-CMR signal intensity to objectively evaluate and compare the spatial distribution of LGE intensity between DCM and CS.

Methods/Approach: The retrospective cohort included 22 NICM patients (13 DCM, 9 CS) that underwent pre-procedural CMR prior to ventricular tachycardia (VT) ablation between November 2018 to May 2023. LGE images were delineated into sub-endocardial, mid-myocardial, and sub-epicardial layers, categorized into anterior, lateral, inferior, and septal walls based on the AHA 17 segment model for LV myocardial segmentation. CMR signal intensities were standardized as z-scores: z = (x−μ)/σ, where x is the MRI signal intensity for a specific myocardial segment and layer, and μ and σ are the mean and standard deviation across all myocardial segments and layers of the LV, to characterize regional intensity variations.

Results/Data: Compared to patients with DCM, those with CS exhibited significantly higher CMR signal intensity z-scores in the septum (β=0.32, p=0.009), particularly in the endocardial third of the right ventricular side (β=0.56, p=0.001). A z-score greater than 0.40 in this area was associated with a CS diagnosis, with an area under the ROC curve of 0.692 in 5-fold cross-validation.

Conclusions: Patients with CS exhibit higher affinity for contrast in the septum, particularly on the RV endocardium. Standardized analysis of CMR signal intensities provides a novel, quantitative method for distinguishing CS from DCM, with the former exhibiting higher CMR signal intensity z-scores in the septum.
  • Liao, Ting-wei Ernie  ( University of Pennsylvania School of Medicine , Philadelphia , Pennsylvania , United States )
  • Xu, Lingyu  ( University of Pennsylvania School of Medicine , Philadelphia , Pennsylvania , United States )
  • Khoshknab, Mirmilad  ( University of Pennsylvania School of Medicine , Philadelphia , Pennsylvania , United States )
  • Mather, Paul  ( University of Pennsylvania School of Medicine , Philadelphia , Pennsylvania , United States )
  • Bravo, Paco  ( University of Pennsylvania School of Medicine , Philadelphia , Pennsylvania , United States )
  • Desjardins, Benoit  ( Centre Hospitalier de l'Université de Montréal , Montréal , Quebec , Canada )
  • Nazarian, Saman  ( University of Pennsylvania School of Medicine , Philadelphia , Pennsylvania , United States )
  • Author Disclosures:
    Ting-Wei Ernie Liao: DO NOT have relevant financial relationships | Lingyu Xu: DO have relevant financial relationships ; Research Funding (PI or named investigator):American Heart Association:Active (exists now) | MirMilad Khoshknab: DO NOT have relevant financial relationships | Paul Mather: DO have relevant financial relationships ; Consultant:Impulse Dynamics:Active (exists now) ; Consultant:Astra Zeneca:Past (completed) ; Consultant:Novartis:Past (completed) | Paco Bravo: No Answer | Benoit Desjardins: DO NOT have relevant financial relationships | Saman Nazarian: DO have relevant financial relationships ; Consultant:Biosense Webster:Active (exists now) ; Research Funding (PI or named investigator):ADAS Software:Active (exists now) ; Research Funding (PI or named investigator):Biosense Webster:Active (exists now) ; Consultant:Dyne Pharmaceuticals:Active (exists now)
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Inflamed, Infiltrated, Inherited and Arrhythmic

Sunday, 11/17/2024 , 11:30AM - 12:30PM

Abstract Poster Session

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