{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T03:04:12Z","timestamp":1761102252255,"version":"3.37.3"},"reference-count":51,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Cardiac resynchronization therapy (CRT) improves functional classification among patients with left ventricle malfunction and ventricular electric conduction disorders. However, a high percentage of subjects under CRT (20%\u201330%) do not show any improvement. Nonetheless the presence of mechanical contraction dyssynchrony in ventricles has been proposed as an indicator of CRT response. This work proposes an automated classification model of severity in ventricular contraction dyssynchrony. The model includes clinical data such as left ventricular ejection fraction (LVEF), QRS and P-R intervals, and the 3 most significant factors extracted from the factor analysis of dynamic structures applied to a set of equilibrium radionuclide angiography images representing the mechanical behavior of cardiac contraction. A control group of 33 normal volunteers (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mn fontstyle=\"italic\">28<\/mml:mn><mml:mo>\u00b1<\/mml:mo><mml:mn fontstyle=\"italic\">5<\/mml:mn><\/mml:math>years, LVEF of<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mn fontstyle=\"italic\">59.7<\/mml:mn><mml:mi>%<\/mml:mi><mml:mo>\u00b1<\/mml:mo><mml:mn fontstyle=\"italic\">5.8<\/mml:mn><mml:mi>%<\/mml:mi><\/mml:math>) and a HF group of 42 subjects (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mn fontstyle=\"italic\">53.12<\/mml:mn><mml:mo>\u00b1<\/mml:mo><mml:mn fontstyle=\"italic\">15.05<\/mml:mn><\/mml:math>years, LVEF &lt; 35%) were studied. The proposed classifiers had hit rates of 90%, 50%, and 80% to distinguish between absent, mild, and moderate-severe interventricular dyssynchrony, respectively. For intraventricular dyssynchrony, hit rates of 100%, 50%, and 90% were observed distinguishing between absent, mild, and moderate-severe, respectively. These results seem promising in using this automated method for clinical follow-up of patients undergoing CRT.<\/jats:p>","DOI":"10.1155\/2017\/3087407","type":"journal-article","created":{"date-parts":[[2017,2,19]],"date-time":"2017-02-19T16:02:46Z","timestamp":1487520166000},"page":"1-9","source":"Crossref","is-referenced-by-count":3,"title":["Automated Classification of Severity in Cardiac Dyssynchrony Merging Clinical Data and Mechanical Descriptors"],"prefix":"10.1155","volume":"2017","author":[{"given":"Alejandro","family":"Santos-D\u00edaz","sequence":"first","affiliation":[{"name":"Bioengineering Department, Instituto Tecnol\u00f3gico y de Estudios Superiores de Monterrey, Campus Ciudad de M\u00e9xico, Mexico City, Mexico"}]},{"given":"Raquel","family":"Vald\u00e9s-Cristerna","sequence":"additional","affiliation":[{"name":"Neuroimaging Laboratory, Electrical Engineering Department, Universidad Aut\u00f3noma Metropolitana Iztapalapa, Mexico City, Mexico"}]},{"given":"Enrique","family":"Vallejo","sequence":"additional","affiliation":[{"name":"Centro Medico ABC (American British Cowdray Hospital), Mexico City, Mexico"}]},{"given":"Salvador","family":"Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Nuclear Cardiology Department, Instituto Nacional de Cardiolog\u00eda \u201cIgnacio Ch\u00e1vez\u201d, Mexico City, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7390-0814","authenticated-orcid":true,"given":"Luis","family":"Jim\u00e9nez-\u00c1ngeles","sequence":"additional","affiliation":[{"name":"Engineering in Biomedical Systems Department, Faculty of Engineering, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Mexico City, 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