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Fibrosis Assessment in Patients with Frequent Ventricular Extrasystoles and Normal Echocardiograms: Insights from Cardiac MRI
Session:
SESSÃO DE POSTERS 47 - AVALIAÇÃO CARDÍACA POR TC E/OU RM
Speaker:
Rodrigo Neves Brandão
Congress:
CPC 2025
Topic:
B. Imaging
Theme:
03. Imaging
Subtheme:
03.3 Cardiac Magnetic Resonance
Session Type:
Cartazes
FP Number:
---
Authors:
Rodrigo Neves Brandão; Inês Pereira de Miranda; Filipa Gerardo; Carolina Mateus; Mara Sarmento; João Bicho Augusto
Abstract
<p><span style="font-size:12pt"><span style="font-family:"Times New Roman",serif"><strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">Background: </span></span></strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">Frequent ventricular extrasystoles (VEs) with normal echocardiogram findings often prompt cardiac MRI evaluation to detect myocardial fibrosis.</span></span></span></span></p> <p><span style="font-size:12pt"><span style="font-family:"Times New Roman",serif"><strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">Objective</span></span></strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">: To characterize (1) the prevalence and location of fibrosis and (2) to assess the predictors of fibrosis in such patients.</span></span></span></span></p> <p><span style="font-size:12pt"><span style="font-family:"Times New Roman",serif"><strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">Methods: </span></span></strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">We retrospectively analyzed patients referred for CMR for frequent VEs with normal echocardiograms between January 2022 and November 2024. Fibrosis was indicated by late gadolinium enhancement (LGE). Feature selection via SelectKBest (ANOVA F-test) retained the top five predictors, and a logistic regression model with L2 regularization was developed. Data were split (70% training, 30% testing) and validated using stratified 5-fold cross-validation. Model performance was assessed via precision, recall, F1-score, and accuracy.</span></span></span></span></p> <p><span style="font-size:12pt"><span style="font-family:"Times New Roman",serif"><strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">Results: </span></span></strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">Among 98 patients (54.3±12.1 years, 55% male), 26.5% exhibited fibrosis. Of these, 19.2% had subendocardial fibrosis, consistent with a myocardial infarct pattern, while 80.8% had midwall and/or subepicardial fibrosis. The basal inferolateral and basal inferior regions were the most affected (23%). Patients with fibrosis were older (58.2±10.4 vs 53.0±12.8 years, p=0.03). Predictors included age (p=0.01), hypertension (p=0.02), obesity (p=0.04) and left ventricular ejection fraction (p=0.03). The model achieved 98.8% cross-validation accuracy and 70.4% accuracy on the holdout set. Non-fibrosis cases were reliably predicted (precision 77.3%, recall 85%, F1-score 80.9%), whereas performance for fibrosis cases was reduced (precision 40%, recall 28.6%, F1-score 33.3%).</span></span></span></span></p> <p><span style="font-size:12pt"><span style="font-family:"Times New Roman",serif"><strong><span style="font-family:"Calibri",sans-serif"><span style="color:black">Conclusion:</span></span></strong><span style="font-family:"Calibri",sans-serif"><span style="color:black"> Myocardial fibrosis was detected in over a quarter of patients with frequent VEs and normal echocardiograms, predominantly in the basal inferolateral region. Older age, hypertension, obesity, and reduced ejection fraction were key predictors. Cardiac MRI and clinical integration remain crucial for risk assessment.</span></span></span></span></p>
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