Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot Study
Hypertrophic cardiomyopathy (HCM) is among the most common forms of cardiomyopathies, with a prevalence of 1:200 to 1:500 people. HCM is caused by variants in genes encoding cardiac sarcomeric proteins, of which a majority reside in <i>MYH7</i>, <i>MYBPC3</i>, and <i>TN...
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Formato: | Artigo |
Idioma: | English |
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MDPI AG
2023-12-01
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coleção: | Cardiogenetics |
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Acesso em linha: | https://www.mdpi.com/2035-8148/14/1/1 |
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author | Mila Glavaški Aleksandra Ilić Lazar Velicki |
author_facet | Mila Glavaški Aleksandra Ilić Lazar Velicki |
author_sort | Mila Glavaški |
collection | DOAJ |
description | Hypertrophic cardiomyopathy (HCM) is among the most common forms of cardiomyopathies, with a prevalence of 1:200 to 1:500 people. HCM is caused by variants in genes encoding cardiac sarcomeric proteins, of which a majority reside in <i>MYH7</i>, <i>MYBPC3</i>, and <i>TNNT2</i>. Up to 40% of the HCM cases do not have any known HCM variant. Genotype–phenotype associations in HCM remain incompletely understood. This study involved two visits of 46 adult patients with a confirmed diagnosis of HCM. In total, 174 genes were analyzed on the Next-Generation Sequencing platform, and transthoracic echocardiography was performed. Gene-specific discriminative echocardiogram findings were identified using the computer vision library Fast AI. This was accomplished with the generation of deep learning models for the classification of ultrasonic images based on the underlying genotype and a later analysis of the most decisive image regions. Gene-specific echocardiogram findings were identified: for variants in the <i>MYH7</i> gene (vs. variant not detected), the most discriminative structures were the septum, left ventricular outflow tract (LVOT) segment, anterior wall, apex, right ventricle, and mitral apparatus; for variants in <i>MYBPC3</i> gene (vs. variant not detected) these were the septum, left ventricle, and left ventricle/chamber; while for variants in the <i>TNNT2</i> gene (vs. variant not detected), the most discriminative structures were the septum and right ventricle. |
first_indexed | 2024-04-24T18:27:11Z |
format | Article |
id | doaj.art-afb23697d5274c658e8edbc703f16452 |
institution | Directory Open Access Journal |
issn | 2035-8253 2035-8148 |
language | English |
last_indexed | 2024-04-24T18:27:11Z |
publishDate | 2023-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Cardiogenetics |
spelling | doaj.art-afb23697d5274c658e8edbc703f164522024-03-27T13:30:17ZengMDPI AGCardiogenetics2035-82532035-81482023-12-0114112510.3390/cardiogenetics14010001Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot StudyMila Glavaški0Aleksandra Ilić1Lazar Velicki2Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, SerbiaFaculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, SerbiaFaculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, SerbiaHypertrophic cardiomyopathy (HCM) is among the most common forms of cardiomyopathies, with a prevalence of 1:200 to 1:500 people. HCM is caused by variants in genes encoding cardiac sarcomeric proteins, of which a majority reside in <i>MYH7</i>, <i>MYBPC3</i>, and <i>TNNT2</i>. Up to 40% of the HCM cases do not have any known HCM variant. Genotype–phenotype associations in HCM remain incompletely understood. This study involved two visits of 46 adult patients with a confirmed diagnosis of HCM. In total, 174 genes were analyzed on the Next-Generation Sequencing platform, and transthoracic echocardiography was performed. Gene-specific discriminative echocardiogram findings were identified using the computer vision library Fast AI. This was accomplished with the generation of deep learning models for the classification of ultrasonic images based on the underlying genotype and a later analysis of the most decisive image regions. Gene-specific echocardiogram findings were identified: for variants in the <i>MYH7</i> gene (vs. variant not detected), the most discriminative structures were the septum, left ventricular outflow tract (LVOT) segment, anterior wall, apex, right ventricle, and mitral apparatus; for variants in <i>MYBPC3</i> gene (vs. variant not detected) these were the septum, left ventricle, and left ventricle/chamber; while for variants in the <i>TNNT2</i> gene (vs. variant not detected), the most discriminative structures were the septum and right ventricle.https://www.mdpi.com/2035-8148/14/1/1hypertrophic cardiomyopathygene<i>MYH7</i><i>MYBPC3</i><i>TNNT2</i>variant |
spellingShingle | Mila Glavaški Aleksandra Ilić Lazar Velicki Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot Study Cardiogenetics hypertrophic cardiomyopathy gene <i>MYH7</i> <i>MYBPC3</i> <i>TNNT2</i> variant |
title | Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot Study |
title_full | Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot Study |
title_fullStr | Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot Study |
title_full_unstemmed | Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot Study |
title_short | Gene-Specific Discriminative Echocardiogram Findings in Hypertrophic Cardiomyopathy Determined Using Artificial Intelligence: A Pilot Study |
title_sort | gene specific discriminative echocardiogram findings in hypertrophic cardiomyopathy determined using artificial intelligence a pilot study |
topic | hypertrophic cardiomyopathy gene <i>MYH7</i> <i>MYBPC3</i> <i>TNNT2</i> variant |
url | https://www.mdpi.com/2035-8148/14/1/1 |
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