@article{MTMT:33708891,
	title = {Comparison of a Precision Care Strategy With Usual Testing to Guide Management of Stable Patients With Suspected Coronary Artery Disease: The Precise Randomized Trial},
	url = {https://m2.mtmt.hu/api/publication/33708891},
	author = {Douglas, Pamela S. and Nanna, Michael and Kelsey, Michelle and Yow, Eric S. and Mark, Daniel B. and Patel, Manesh R. and Rogers, Campbell and Udelson, James E. and Fordyce, Christopher and Curzen, Nick and Pontone, Gianluca and Maurovich-Horvat, Pál and De, Bruyne Bernard and Greenwood, John and Marinescu, Victor and Leipsic, Jonathon and Stone, Gregg and Ben-Yehuda, Ori and Berry, Colin and Hogan, Shea and Redfors, Bjorn and Ali, Ziad A. and Byrne, Robert and Kramer, Christopher M. and Yeh, Robert W. and Martinez, Beth and Mullen, Sarah and Huey, Whitney and Anstrom, Kevin and Al-Khalidi, Hussein and Vemulapalli, Sreekanth},
	journal-iso = {CIRCULATION},
	journal = {CIRCULATION},
	volume = {146},
	unique-id = {33708891},
	issn = {0009-7322},
	keywords = {Cardiac & Cardiovascular Systems},
	year = {2022},
	eissn = {1524-4539},
	pages = {E578-E579},
	orcid-numbers = {Maurovich-Horvat, Pál/0000-0003-0885-736X}
}

@article{MTMT:32820773,
	title = {The Predictive Value of Left Atrial Strain Following Transcatheter Aortic Valve Implantation on Anatomical and Functional Reverse Remodeling in a Multi-Modality Study},
	url = {https://m2.mtmt.hu/api/publication/32820773},
	author = {Vattay, Borbála and Nagy, Anikó Ilona and Apor, Astrid and Kolossváry, Márton József and Manouras, Aristomenis and Vecsey-Nagy, Milán and Molnár, Levente Domonkos and Boussoussou, Melinda and Bartykowszki, Andrea and Jermendy, Ádám Levente and Kováts, Tímea and Zsarnóczay, Emese and Maurovich-Horvat, Pál and Merkely, Béla Péter and Szilveszter, Bálint},
	doi = {10.3389/fcvm.2022.841658},
	journal-iso = {FRONT CARDIOVASC MED},
	journal = {FRONTIERS IN CARDIOVASCULAR MEDICINE},
	volume = {9},
	unique-id = {32820773},
	issn = {2297-055X},
	year = {2022},
	eissn = {2297-055X},
	orcid-numbers = {Vattay, Borbála/0000-0003-2255-5456; Nagy, Anikó Ilona/0000-0002-0519-5172; Apor, Astrid/0000-0002-9132-0979; Kolossváry, Márton József/0000-0002-5570-991X; Vecsey-Nagy, Milán/0000-0001-9306-289X; Boussoussou, Melinda/0000-0002-0798-4319; Jermendy, Ádám Levente/0000-0001-8295-0840; Zsarnóczay, Emese/0000-0002-7952-8478; Maurovich-Horvat, Pál/0000-0003-0885-736X; Merkely, Béla Péter/0000-0001-6514-0723; Szilveszter, Bálint/0000-0003-1530-4288}
}

@article{MTMT:32210487,
	title = {Patients with Moderate Non-Culprit Coronary Lesions of Recent Acute Coronary Syndrome. A Comparison of Fractional Flow Reserve and Dobutamine Stress Echocardiography},
	url = {https://m2.mtmt.hu/api/publication/32210487},
	author = {Ahres, Abdelkrim and Jablonkai, Balázs and Schrancz, Ágnes and Balogh, Zsuzsanna and Kenessey, Andrea and Baranyai, Tamás and Őze, Ágnes and Szigeti, Zsolt and Rubóczky, Gábor and Nagybaczoni, Béla and Apor, Astrid and Simon, Judit and Szilveszter, Bálint and Kolossváry, Márton József and Merkely, Béla Péter and Maurovich-Horvat, Pál and Andrássy, Péter},
	doi = {10.1536/ihj.20-760},
	journal-iso = {INT HEART J},
	journal = {INTERNATIONAL HEART JOURNAL},
	volume = {62},
	unique-id = {32210487},
	issn = {1349-2365},
	year = {2021},
	eissn = {1349-3299},
	pages = {952-961},
	orcid-numbers = {Ahres, Abdelkrim/0000-0002-0270-7187; Jablonkai, Balázs/0000-0003-0125-3029; Apor, Astrid/0000-0002-9132-0979; Simon, Judit/0000-0001-8063-3462; Szilveszter, Bálint/0000-0003-1530-4288; Kolossváry, Márton József/0000-0002-5570-991X; Merkely, Béla Péter/0000-0001-6514-0723; Maurovich-Horvat, Pál/0000-0003-0885-736X}
}

@article{MTMT:31270854,
	title = {P43 The Association of Irritable Affective Temperament with 24-Hour Brachial and Central Blood Pressure and Hemodynamic Parameters in Untreated Hypertensive Men},
	url = {https://m2.mtmt.hu/api/publication/31270854},
	author = {Kőrösi, Beáta Zita and Batta, Dóra and Vecsey-Nagy, Milán and Gonda, Xénia and Rihmer, Zoltán and Nemcsik-Bencze, Zsófia and László, Andrea and Nemcsik, János},
	doi = {10.2991/artres.k.191224.074},
	journal-iso = {ARTERY RES},
	journal = {ARTERY RESEARCH},
	volume = {25},
	unique-id = {31270854},
	issn = {1872-9312},
	year = {2020},
	eissn = {1876-4401},
	pages = {S83},
	orcid-numbers = {Kőrösi, Beáta Zita/0000-0003-4995-6401; Batta, Dóra/0000-0001-7207-8665; Vecsey-Nagy, Milán/0000-0001-9306-289X; Gonda, Xénia/0000-0001-9015-4203; Rihmer, Zoltán/0000-0002-5104-0569; László, Andrea/0000-0002-8619-9684; Nemcsik, János/0000-0002-3573-0287}
}

@article{MTMT:31189485,
	title = {The Association Between Marital Status, Coronary Computed Tomography Imaging Biomarkers, and Mortality in a Lung Cancer Screening Population},
	url = {https://m2.mtmt.hu/api/publication/31189485},
	author = {Celeng, Csilla and Takx, Richard A.P. and Lessmann, Nikolas and Maurovich-Horvat, Pál and Leiner, Tim and Išgum, Ivana and de Jong, Pim A.},
	doi = {10.1097/RTI.0000000000000457},
	journal-iso = {J THORAC IMAG},
	journal = {JOURNAL OF THORACIC IMAGING},
	volume = {35},
	unique-id = {31189485},
	issn = {0883-5993},
	year = {2020},
	eissn = {1536-0237},
	pages = {204-209},
	orcid-numbers = {Maurovich-Horvat, Pál/0000-0003-0885-736X}
}

@article{MTMT:31189447,
	title = {The year in cardiology: imaging},
	url = {https://m2.mtmt.hu/api/publication/31189447},
	author = {Pennell, Dudley and Delgado, Victoria and Knuuti, Juhani and Maurovich-Horvat, Pál and Bax, Jeroen J},
	doi = {10.1093/eurheartj/ehz930},
	journal-iso = {EUR HEART J},
	journal = {EUROPEAN HEART JOURNAL},
	volume = {41},
	unique-id = {31189447},
	issn = {0195-668X},
	year = {2020},
	eissn = {1522-9645},
	pages = {739-747},
	orcid-numbers = {Maurovich-Horvat, Pál/0000-0003-0885-736X}
}

@article{MTMT:31189418,
	title = {Left Ventricular Intramyocardial Fat Detected on Cardiac Computed Tomography in Patients With Stable Chest Pain},
	url = {https://m2.mtmt.hu/api/publication/31189418},
	author = {Karády, Júlia and Mayrhofer, Thomas and Foldyna, Borek and Ivanov, Alexander and Kikuchi, Yasuka and Ferencik, Maros and Lu, Michael T. and Puchner, Stefan B. and Emami, Hamed and Meyersohn, Nandini M. and Bittner, Daniel O. and Maurovich-Horvat, Pál and Douglas, Pamela S. and Hoffmann, Udo},
	doi = {10.1016/j.jcmg.2019.12.012},
	journal-iso = {JACC-CARDIOVASC IMAG},
	journal = {JACC-CARDIOVASCULAR IMAGING},
	volume = {13},
	unique-id = {31189418},
	issn = {1936-878X},
	year = {2020},
	eissn = {1876-7591},
	pages = {1282-1284},
	orcid-numbers = {Karády, Júlia/0000-0002-6640-6260; Maurovich-Horvat, Pál/0000-0003-0885-736X}
}

@article{MTMT:31164616,
	title = {Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy. the SEMMELWEIS-CRT score},
	url = {https://m2.mtmt.hu/api/publication/31164616},
	author = {Tokodi, Márton and Schwertner, Walter Richard and Kovács, Attila and Tősér, Zoltán and Staub, Levente and Sárkány, András and Lakatos, Bálint and Behon, Anett and Boros, András Mihály and Perge, Péter and Kutyifa, Valentina and Széplaki, Gábor and Gellér, László Alajos and Merkely, Béla Péter and Kosztin, Annamária},
	doi = {10.1093/eurheartj/ehz902},
	journal-iso = {EUR HEART J},
	journal = {EUROPEAN HEART JOURNAL},
	volume = {41},
	unique-id = {31164616},
	issn = {0195-668X},
	abstract = {Our aim was to develop a machine learning (ML)-based risk stratification system to predict 1-, 2-, 3-, 4-, and 5-year all-cause mortality from pre-implant parameters of patients undergoing cardiac resynchronization therapy (CRT).Multiple ML models were trained on a retrospective database of 1510 patients undergoing CRT implantation to predict 1- to 5-year all-cause mortality. Thirty-three pre-implant clinical features were selected to train the models. The best performing model [SEMMELWEIS-CRT score (perSonalizEd assessMent of estiMatEd risk of mortaLity With machinE learnIng in patientS undergoing CRT implantation)], along with pre-existing scores (Seattle Heart Failure Model, VALID-CRT, EAARN, ScREEN, and CRT-score), was tested on an independent cohort of 158 patients. There were 805 (53%) deaths in the training cohort and 80 (51%) deaths in the test cohort during the 5-year follow-up period. Among the trained classifiers, random forest demonstrated the best performance. For the prediction of 1-, 2-, 3-, 4-, and 5-year mortality, the areas under the receiver operating characteristic curves of the SEMMELWEIS-CRT score were 0.768 (95% CI: 0.674-0.861; P < 0.001), 0.793 (95% CI: 0.718-0.867; P < 0.001), 0.785 (95% CI: 0.711-0.859; P < 0.001), 0.776 (95% CI: 0.703-0.849; P < 0.001), and 0.803 (95% CI: 0.733-0.872; P < 0.001), respectively. The discriminative ability of our model was superior to other evaluated scores.The SEMMELWEIS-CRT score (available at semmelweiscrtscore.com) exhibited good discriminative capabilities for the prediction of all-cause death in CRT patients and outperformed the already existing risk scores. By capturing the non-linear association of predictors, the utilization of ML approaches may facilitate optimal candidate selection and prognostication of patients undergoing CRT implantation.},
	keywords = {machine learning; heart failure; risk stratification; cardiac resynchronization therapy; Precision Medicine; Mortality prediction},
	year = {2020},
	eissn = {1522-9645},
	pages = {1747-1756},
	orcid-numbers = {Tokodi, Márton/0000-0003-3036-4131; Schwertner, Walter Richard/0000-0002-6206-243X; Kovács, Attila/0000-0003-2320-6434; Lakatos, Bálint/0000-0002-7627-5620; Behon, Anett/0000-0002-9852-2768; Perge, Péter/0000-0003-1256-3532; Kutyifa, Valentina/0000-0002-0016-289X; Széplaki, Gábor/0000-0003-3795-1240; Gellér, László Alajos/0000-0001-6802-6360; Merkely, Béla Péter/0000-0001-6514-0723; Kosztin, Annamária/0000-0001-6647-2623}
}

@article{MTMT:31164615,
	title = {Computed Tomographic Angiography for Risk Stratification in Patients with Acute Chest Pain - The Triple Rule-out Concept in the Emergency Department.},
	url = {https://m2.mtmt.hu/api/publication/31164615},
	author = {Monica, Marton-Popovici and Merkely, Béla Péter and Szilveszter, Bálint and Drobni, Zsófia and Maurovich-Horvat, Pál},
	doi = {10.2174/1573405614666180604095120},
	journal-iso = {CURR MED IMAGING},
	journal = {CURRENT MEDICAL IMAGING},
	volume = {16},
	unique-id = {31164615},
	issn = {1573-4056},
	abstract = {Acute chest pain is one of the most common reasons for Emergency Department (ED) visits and hospital admissions. As this could represent the first symptom of a lifethreatening condition, urgent identification of the etiology of chest pain is of utmost importance in emergency settings. Such high-risk conditions that can present with acute chest pain in the ED include Acute Coronary Syndromes (ACS), Pulmonary Embolisms (PE) and Acute Aortic Syndromes (AAS).The concept of Triple Rule-out Computed Tomographic Angiography (TRO-CTA) for patients presenting with acute chest pain in the ED is based on the use of coronary computed tomographic angiography as a single imaging technique, able to diagnose or exclude three lifethreatening conditions in one single step: ACS, AAS and PE. TRO-CTA protocols have been proved to be efficient in the ED for diagnosis or exclusion of life-threatening conditions and for differentiation between various etiologies of chest pain, and application of the TRO-CTA protocol in the ED for acute chest pain of uncertain etiology has been shown to improve the further clinical evaluation and outcomes of these patients.This review aims to summarize the main indications and techniques used in TRO protocols in EDs, and the role of TRO-CTA protocols in risk stratification of patients with acute chest pain.},
	keywords = {Pulmonary Embolism; Chest Pain; Aortic dissection; acute coronary syndromes; cardiac computedtomography; triple rule-out.},
	year = {2020},
	eissn = {1875-6603},
	pages = {98-110},
	orcid-numbers = {Merkely, Béla Péter/0000-0001-6514-0723; Szilveszter, Bálint/0000-0003-1530-4288; Drobni, Zsófia/0000-0002-1355-5318; Maurovich-Horvat, Pál/0000-0003-0885-736X}
}

@article{MTMT:31038539,
	title = {Left ventricular and atrial strain imaging with cardiac computed tomography: Validation against echocardiography},
	url = {https://m2.mtmt.hu/api/publication/31038539},
	author = {Szilveszter, Bálint and Nagy, Anikó Ilona and Vattay, Borbála and Apor, Astrid and Kolossváry, Márton József and Bartykowszki, Andrea and Simon, Judit and Drobni, Zsófia and Tóth, Attila and Suhai, Ferenc Imre and Merkely, Béla Péter and Maurovich-Horvat, Pál},
	doi = {10.1016/j.jcct.2019.12.004},
	journal-iso = {J CARDIOVASC COMPUT TOMOGR},
	journal = {JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY},
	volume = {14},
	unique-id = {31038539},
	issn = {1934-5925},
	year = {2020},
	eissn = {1876-861X},
	pages = {363-369},
	orcid-numbers = {Szilveszter, Bálint/0000-0003-1530-4288; Nagy, Anikó Ilona/0000-0002-0519-5172; Vattay, Borbála/0000-0003-2255-5456; Apor, Astrid/0000-0002-9132-0979; Kolossváry, Márton József/0000-0002-5570-991X; Simon, Judit/0000-0001-8063-3462; Drobni, Zsófia/0000-0002-1355-5318; Tóth, Attila/0000-0002-4081-7168; Suhai, Ferenc Imre/0000-0002-5268-3873; Merkely, Béla Péter/0000-0001-6514-0723; Maurovich-Horvat, Pál/0000-0003-0885-736X}
}