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Correlation between automatically obtained longitudinal shortening of the left ventricle and the presence of late enhancement on CMR
Session:
Sessão de Posters 24 - Biomarcadores em Cardiologia
Speaker:
Miguel Carias
Congress:
CPC 2024
Topic:
J. Preventive Cardiology
Theme:
28. Risk Factors and Prevention
Subtheme:
28.14 Risk Factors and Prevention - Other
Session Type:
Cartazes
FP Number:
---
Authors:
Miguel Carias De Sousa; Marta Paralta; António Almeida; Rafael Viana; Bruno Piçarra; Ângela Bento; Manuel Trinca
Abstract
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Introduction:</span></strong><span style="font-size:10.0pt"> Artificial intelligence (AI) plays a crucial role in the assessment of left ventricular (LV) function in cardiac magnetic resonance (CMR) due to its ability to streamline and enhance the analysis of complex imaging data. The generation of automatic parameters for LV function can revolutionize the way cardiac imaging data is analyzed, offering greater efficiency, accuracy, and potential for early detection and personalized treatment strategies.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Purpose:</span></strong><span style="font-size:10.0pt"> This study aims to determine if there is a relationship between the measurement of longitudinal LV shortening and other functional parameters in CMR within a clinical setting.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Methods:</span></strong><span style="font-size:10.0pt"> We retrospectively analyzed a population of patients submitted to CMR and divided them into three groups: those without structural disease, those with dilated cardiomyopathy (DCM) and those with hypertrophic cardiomyopathy (HCM). We documented demographic factors, LV ejection fraction (LVEF), presence of late-gadolinium enhancement (LGE) and the longitudinal LV shortening obtained through AI in CMR for all groups. We then performed univariate analysis by Pearson correlation to establish the relationship between variables and ROC curves to evaluate diagnostic sensitivity.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Results:</span></strong><span style="font-size:10.0pt"> Out of 103 patients, 22,3% (n=23) had no structural disease, considered the control group, 37,9% (n=39) had HCM and 39.8% (n=41) had DCM. 59,2% were male, with mean age of 55</span><span style="font-size:10.0pt">±</span><span style="font-size:10.0pt">16 years, with no differences between groups. When evaluating a combined group of both cardiomyopathies, the presence of LGE was associated with significantly lower LVEF (53,9% vs 42,5%, p=0,007) and lower the longitudinal LV shortening (-11,8% vs -8,1%, p<0,001). When considering separate groups, although there were no relevant differences in LVEF, the presence of LGE is associated with lower the longitudinal LV shortening in HCM (-13,0% vs -10,0%, p=0,007), failing to reach significancy in DCM group probably due to reduced sample size. A ROC curve was evaluated in the combined group revealing a strong sensitivity for longitudinal LV shortening as an early diagnostic marker of LGE (AUC=0,848), with a cutoff value under -12,93% for being a predictor of presence of LGE.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="font-size:10.0pt">Conclusions:</span></strong><span style="font-size:10.0pt"> There is an association between longitudinal LV shortening and the presence of LGE in patients with HCM and DCM, although with greater significance in patients with HCM. This AI generated parameter is a sensitive diagnostic marker for presence of LGE, possibly contributing to earlier diagnosis and arrythmia and sudden death risk stratification of patients with cardiomyopathies.</span></span></span></p>
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