Search Results - "Maaniitty, T"

18F-FDG PET/CT in the diagnosis of infective endocarditis by Salminen, L, Ballo, H, Maaniitty, T, Vasankari, T, Nammas, W, Knuuti, J, Hohenthal, U, Saraste, A

“…Abstract Background Increased uptake of 18F-fluorodeoxyglucose (FDG) by positron-emission tomography/computed tomography (PET/CT) is one of the diagnostic…”
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Artificial intelligence-based automated plaque quantification from CCTA to predict acute coronary syndrome on top of obstructive or ischemic coronary artery disease by Bar, S, Maaniitty, T, Nabeta, T, Bax, J J, Earls, J P, Min, J, Saraste, A, Knuuti, J

“…Abstract Background Artificial intelligence (AI)-based quantitative computed tomography (AI-QCT) is a novel tool for automated plaque characterization and…”
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The use of lipid-lowering medication after diagnostic imaging procedures in patients with chest pain by Maaniitty, T, Maenpaa, M, Harjulahti, E, Kujala, I, Stenstrom, I, Nammas, W, Knuuti, J, Saraste, A

“…Abstract Background Coronary CT angiography (CTA) combined with myocardial perfusion imaging accurately detects both non-obstructive and obstructive coronary…”
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Prognostic value of a novel artificial intelligence-based coronary computed tomography angiography-derived ischemia algorithm for patients with suspected coronary artery disease by Baer, S, Nabeta, T, Maaniitty, T, Bax, J J, Saraste, A, Earls, J, Min, J K, Knuuti, J

“…Abstract Introduction Coronary computed tomography angiography (CCTA) has emerged as the first-line, non-invasive imaging tool to detect coronary artery…”
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Incremental value of a CCTA-derived AI-based ischemia algorithm over standard CCTA interpretation for coronary ischemia in patients with suspected coronary artery disease by Nabeta, T, Bar, S, Maaniitty, T, Min, J K, Earls, J P, Bax, J J, Saraste, A, Knuuti, J

“…Abstract Background Coronary computed tomography angiography (CCTA) is a widely used non-invasive test to diagnose coronary artery stenosis in patients with…”
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The incremental value of PET perfusion imaging over coronary CT angiography in predicting outcome. A study using machine learning by Kujala, I, Lehtonen, E, Tamminen, J, Maaniitty, T, Saraste, A, Teuho, J, Knuuti, J, Klen, R

“…Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Academy of Finland, Turku University Hospital…”
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Polygenic risk scores in predicting the presence of coronary artery disease in symptomatic patients - A validation study utilizing an accurate phenotype based on state-of-the-art imaging by Kujala, I, Vangipurapu, J, Maaniitty, T, Saraste, A, Kere, J, Knuuti, J

“…Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Academy of Finland Turku University Hospital…”
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Hybrid CTA/PET imaging of coronary artery disease in non-diabetic, prediabetic and diabetic patients evaluated for chest pain by Maenpaa, M, Kujala, I, Harjulahti, E, Stenstrom, I, Nammas, W, Knuuti, J, Saraste, A, Maaniitty, T

“…Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Academy of Finland Finnish…”
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P4700Hybrid PET/CT imaging in evaluation of symptomatic patients with previous coronary artery bypass grafting by Maaniitty, T, Jaakkola, S, Saraste, A, Knuuti, J

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Location-specific prognostic significance of plaque burden, stenosis, and plaque morphology in coronary artery disease by Jukema, R, Teemu Maaniitty, T, Nurmohammed, N S, Raijmakers, P G, Planken, R N, Twisk, J, Van Der Harst, P, Cramer, M J M, Min, J K, Earls, J, Knaapen, P, Saraste, A, Knuuti, J, Danad, I

“…Abstract Background The prognostic significance of coronary plaque localization, percentage atheroma volume (PAV), stenosis, and plaque morphology has been…”
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Prognostic value of quantitative anatomical and functional measures of coronary artery disease in diabetic and non-diabetic patients by Maenpaa, M, Jukema, R, Van Diemen, P, Stenstrom, I, Raijmakers, P, Sprengers, R, Planken, R, Earls, J, Bax, J, Min, J, Knaapen, P, Knuuti, J, Danad, I, Saraste, A, Maaniitty, T

“…Abstract Background Diabetes is associated with increased risk of coronary artery disease (CAD). However, the relative prognostic importance of anatomical and…”
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Warranty period of normal CCTA and [15O]H2O PET in chest pain patients by Jukema, R, Maaniitty, T, Van Diemen, P, Berkhof, H, Raijmakers, P, Sprengers, R, Planken, R, Knaapen, P, Saraste, A, Danad, I, Knuuti, J

“…Abstract Background Normal coronary computed tomography angiography (CTA) and positron emission tomography (PET) are associated with an excellent prognosis…”
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Prognostic value of combined coronary CT angiography and myocardial perfusion imaging in women and men by Kujala, I, Nammas, W, Maaniitty, T, Stenstrom, I, Klen, R, Bax, J J, Knuuti, J, Saraste, A

“…Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): State Research Funding for Turku…”
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Prognostic Value Of A Novel Artificial Intelligence-based CCTA-derived Ischemia Algorithm In Patients With Suspected Coronary Artery Disease: Comparison Against Hybrid CCTA/PET Perfusion Imaging by Maaniitty, T., Bär, S., Nabeta, T., Saraste, A., Bax, J., Earls, J., Min, J., Knuuti, J.

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Incremental Prognostic Value Of A Novel Artificial Intelligence-Based CCTA-Derived Ischemia Algorithm Among Patients With Normal And Reduced Myocardial Perfusion by Bär, S., Maaniitty, T., Nabeta, T., Saraste, A., Bax, J., Earls, J., Min, J., Knuuti, J.

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Prognostic Value Of A Novel Artificial Intelligence-based CCTA-derived Ischemia Algorithm In Patients With Suspected Coronary Artery Disease: Comparison Against Hybrid CCTA/PET Perfusion Imaging by Maaniitty, T., Bär, S., Nabeta, T., Saraste, A., Bax, J., Earls, J., Min, J., Knuuti, J.

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Incremental prognostic value of artificial intelligence-based automated plaque characterisation on top of ischemia evaluation by CCTA and CCTA/PET by Bar, S, Maaniitty, T, Kiatkittikul, P, Nabeta, T, Bax, J J, Min, J K, Earls, J P, Saraste, A, Knuuti, J

“…Abstract Background Artificial intelligence (AI)-based quantitative computed tomography (AI-QCT) is a novel tool for automated plaque characterisation and…”
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Clinical likelihood models calibrated against observed obstructive coronary artery disease by computed tomography angiography by Rasmussen, L D, Schmidt, S E, Knuuti, J, Maaniitty, T, Saraste, A, Cerci, R J, Newby, D E, Douglas, P S, Boettcher, M, Baskaran, L, Winther, S

“…Abstract Background Models predicting the likelihood of obstructive coronary artery disease (CAD) on invasive coronary angiography are available.(1,2) However,…”
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Factors affecting the performance of a novel artificial intelligence-based coronary computed tomography-derived ischemia algorithm against PET perfusion imaging by Kiatkittikul, P, Maaniitty, T, Bar, S, Nabeta, T, Bax, J J, Earls, J P, Min, J K, Saraste, A, Knuuti, J

“…Abstract Background An artificial intelligence-based quantitative coronary computed tomography angiography (CCTA) algorithm (AI-QCTischemia) employs 38…”
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Incremental diagnostic value of a novel artificial intelligence-based ischemia algorithm to predict myocardial ischemia from CCTA by Bar, S, Maaniitty, T, Kiatkittikul, P, Nabeta, T, Bax, J J, Earls, J P, Min, J K, Saraste, A, Knuuti, J

“…Abstract Background Coronary computed tomography angiography (CCTA) is known to be limited in assessing the hemodynamic significance of a coronary artery…”
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