Abstract #0365

Improved and automated detection of papillary muscle infarction using joint bright- and black-blood LGE MRI

Théo Richard¹, Victor de Villedon de Naide ^1,2, Victor Nogues¹, Thaïs Génisson¹, Kalvin Narceau¹, Pauline Gut^1,3, Manuel Villegas-Martinez^1,2, Kun He¹, Rabea Klaar^4,5, Baptiste Durand^1,2, Thibault Boullé², Soumaya Sridi², Jean-David Maes², Konstantinos Vlachos^1,2, Guido Caluori¹, Pierre Jaïs^1,2, Matthias Stuber^1,3,6, Hubert Cochet^1,2, and Aurelien Bustin^1,2,3

¹IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France, ²Department of Cardiothoracic Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, ³Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁴Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany, ⁵Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany, ⁶Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

Synopsis

Keywords: Myocardium, Diagnosis/Prediction

Motivation: Papillary muscle infarction (PMI) diagnosis is challenging because gold standard bright-blood MRI provides a poor contrast between damaged tissue and blood pool. Recent black-blood imaging overcomes this limitation by improving the scar-to-blood contrast.

Goal(s): To develop a co-registered joint bright- and black-blood technology (SPOT) to improve visual PMI detection, while allowing an automated PMI detection algorithm (auto-PMI).

Approach: 198 patients were imaged using both sequences. Number of patients with PMI were compared by two radiologists. Auto-PMI used SPOT images to detect PMI. Sensitivity was reported.

Results: Radiologists detected significantly more PMI with SPOT. SPOT and auto-PMI outperformed the reference bright-blood sensitivity.

Impact: As PMI is a key information for the prognosis of patients suffering from acute coronary syndrome such as myocardial infarction, improving the precision of its diagnosis using SPOT is crucial for better patient care.

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