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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1983 1
1987 2
1990 1
1991 2
1992 2
1993 2
1994 3
1995 4
1996 4
1998 2
1999 5
2000 4
2001 8
2002 4
2003 10
2004 10
2005 13
2006 10
2007 15
2008 19
2009 18
2010 18
2011 20
2012 28
2013 33
2014 21
2015 25
2016 30
2017 37
2018 26
2019 34
2020 42
2021 38
2022 30
2023 39
2024 12

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479 results

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Page 1
2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: The Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT).
Galiè N, Humbert M, Vachiery JL, Gibbs S, Lang I, Torbicki A, Simonneau G, Peacock A, Vonk Noordegraaf A, Beghetti M, Ghofrani A, Gomez Sanchez MA, Hansmann G, Klepetko W, Lancellotti P, Matucci M, McDonagh T, Pierard LA, Trindade PT, Zompatori M, Hoeper M; ESC Scientific Document Group. Galiè N, et al. Eur Heart J. 2016 Jan 1;37(1):67-119. doi: 10.1093/eurheartj/ehv317. Epub 2015 Aug 29. Eur Heart J. 2016. PMID: 26320113 Free article. No abstract available.
Cardiac Computed Tomography: Assessment of Coronary Inflammation and Other Plaque Features.
Oikonomou EK, West HW, Antoniades C. Oikonomou EK, et al. Arterioscler Thromb Vasc Biol. 2019 Nov;39(11):2207-2219. doi: 10.1161/ATVBAHA.119.312899. Epub 2019 Sep 12. Arterioscler Thromb Vasc Biol. 2019. PMID: 31510795 Free article. Review.
Our expanding understanding of the biological mechanisms of coronary atherosclerosis and rapid technological advances in the field of medical imaging has established cardiac computed tomography as a first-line diagnostic test in the assessment of suspected coronary …
Our expanding understanding of the biological mechanisms of coronary atherosclerosis and rapid technological advances in the field of medica …
Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.
West HW, Siddique M, Williams MC, Volpe L, Desai R, Lyasheva M, Thomas S, Dangas K, Kotanidis CP, Tomlins P, Mahon C, Kardos A, Adlam D, Graby J, Rodrigues JCL, Shirodaria C, Deanfield J, Mehta NN, Neubauer S, Channon KM, Desai MY, Nicol ED, Newby DE, Antoniades C; ORFAN Investigators. West HW, et al. JACC Cardiovasc Imaging. 2023 Jun;16(6):800-816. doi: 10.1016/j.jcmg.2022.11.018. Epub 2023 Feb 8. JACC Cardiovasc Imaging. 2023. PMID: 36881425 Free PMC article.
BACKGROUND: Epicardial adipose tissue (EAT) volume is a marker of visceral obesity that can be measured in coronary computed tomography angiograms (CCTA). ...The model was tested in patients with challenging anatomy and scan artifacts and applied to a longitu …
BACKGROUND: Epicardial adipose tissue (EAT) volume is a marker of visceral obesity that can be measured in coronary computed …
Development and application of artificial intelligence in cardiac imaging.
Jiang B, Guo N, Ge Y, Zhang L, Oudkerk M, Xie X. Jiang B, et al. Br J Radiol. 2020 Sep 1;93(1113):20190812. doi: 10.1259/bjr.20190812. Epub 2020 Feb 6. Br J Radiol. 2020. PMID: 32017605 Free PMC article.
In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging, starting with radiomics, basic algorithms of deep learning and application tasks of algorithms, until recently the availability of the public database. ...From thes …
In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging, starting with radiomics, basic algo …
Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers.
Antoniades C, Tousoulis D, Vavlukis M, Fleming I, Duncker DJ, Eringa E, Manfrini O, Antonopoulos AS, Oikonomou E, Padró T, Trifunovic-Zamaklar D, De Luca G, Guzik T, Cenko E, Djordjevic-Dikic A, Crea F. Antoniades C, et al. Eur Heart J. 2023 Oct 12;44(38):3827-3844. doi: 10.1093/eurheartj/ehad484. Eur Heart J. 2023. PMID: 37599464 Review.
Obesity is a modifiable cardiovascular risk factor, but adipose tissue (AT) depots in humans are anatomically, histologically, and functionally heterogeneous. ...In this position paper, the state-of-the-art knowledge of various AT depots is reviewed providing a consensus d …
Obesity is a modifiable cardiovascular risk factor, but adipose tissue (AT) depots in humans are anatomically, histologically, and fu …
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Oikonomou EK, Williams MC, Kotanidis CP, Desai MY, Marwan M, Antonopoulos AS, Thomas KE, Thomas S, Akoumianakis I, Fan LM, Kesavan S, Herdman L, Alashi A, Centeno EH, Lyasheva M, Griffin BP, Flamm SD, Shirodaria C, Sabharwal N, Kelion A, Dweck MR, Van Beek EJR, Deanfield J, Hopewell JC, Neubauer S, Channon KM, Achenbach S, Newby DE, Antoniades C. Oikonomou EK, et al. Eur Heart J. 2019 Nov 14;40(43):3529-3543. doi: 10.1093/eurheartj/ehz592. Eur Heart J. 2019. PMID: 31504423 Free PMC article.
Adipose tissue wavelet-transformed mean attenuation (captured by FAI) was the most sensitive radiomic feature in describing tissue inflammation (TNFA expression), while features of radiomic texture were related to adipose tissue fibrosis (COL1A1 expression) a …
Adipose tissue wavelet-transformed mean attenuation (captured by FAI) was the most sensitive radiomic feature in describing tissue …
Computed Tomography Perfusion-Based Prediction of Core Infarct and Tissue at Risk: Can Artificial Intelligence Help Reduce Radiation Exposure?
Bathla G, Liu Y, Zhang H, Sonka M, Derdeyn C. Bathla G, et al. Stroke. 2021 Dec;52(12):e755-e759. doi: 10.1161/STROKEAHA.121.034266. Epub 2021 Oct 21. Stroke. 2021. PMID: 34670412
BACKGROUND AND PURPOSE: We explored the feasibility of automated, arterial input function independent, vendor neutral prediction of core infarct, and penumbral tissue using complete and partial computed tomographic perfusion data sets through neural networks. …
BACKGROUND AND PURPOSE: We explored the feasibility of automated, arterial input function independent, vendor neutral prediction of c …
Coronary Computed Tomography Angiography: Beyond Obstructive Coronary Artery Disease.
Tonet E, Boccadoro A, Micillo M, Cocco M, Cossu A, Pompei G, Giganti M, Campo G. Tonet E, et al. Life (Basel). 2023 Apr 26;13(5):1086. doi: 10.3390/life13051086. Life (Basel). 2023. PMID: 37240730 Free PMC article. Review.
Nowadays, coronary computed tomography angiography (CCTA) has a role of paramount importance in the diagnostic algorithm of ischemic heart disease (IHD), both in stable coronary artery disease (CAD) and acute chest pain. ...These markers include: (i) e …
Nowadays, coronary computed tomography angiography (CCTA) has a role of paramount importance in the diagnostic algorithm …
Assessment of the correlation between arterial lumen density and its metabolic activity in atherosclerotic patients using (18)F-FDG positron emission tomography/computed tomography.
Al-Enezi MS. Al-Enezi MS. Am J Nucl Med Mol Imaging. 2023 Feb 15;13(1):18-25. eCollection 2023. Am J Nucl Med Mol Imaging. 2023. PMID: 36923601 Free PMC article.
Nineteen participants were imaged with computed tomography (CT) and positron emission tomography (PET) with (18)F-FDG in a dynamic mode. ...Data is clustered using Automatic Hierarchical K-means algorithm (AKH) with silhouette-coefficient. Arterial …
Nineteen participants were imaged with computed tomography (CT) and positron emission tomography (PET) with (18)F-FDG i …
Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion.
Monti CB, Codari M, van Assen M, De Cecco CN, Vliegenthart R. Monti CB, et al. J Thorac Imaging. 2020 May;35 Suppl 1:S58-S65. doi: 10.1097/RTI.0000000000000490. J Thorac Imaging. 2020. PMID: 32195886 Free article. Review.
In fact, ML allows the efficient handling of big volumes of data, allowing to tackle issues that were unfeasible before, especially with deep learning, which utilizes multilayered neural networks. Cardiac computed tomography (CT) is also experiencing a rise in exami …
In fact, ML allows the efficient handling of big volumes of data, allowing to tackle issues that were unfeasible before, especially with dee …
479 results