Machine learning based model to diagnose obstructive coronary artery disease using calcium scoring, PET imaging, and clinical data-Reference-Cited by-同舟云学术

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Machine learning based model to diagnose obstructive coronary artery disease using calcium scoring, PET imaging, and clinical data

Published:2023-08 Issue:4 Volume:30 Page:1504-1513
ISSN:1071-3581
Container-title:Journal of Nuclear Cardiology
language:en
Short-container-title:Journal of Nuclear Cardiology

Author:

van Dalen J.A.,Koenders S.S.,Metselaar R.J.,Vendel B.N.,Slotman D.J.,Mouden M.,Slump C.H.,van Dijk J.D.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s12350-022-03166-3.pdf

Reference26 articles.

1. 2013 ESC guidelines on the management of stable coronary artery disease: The task force on the management of stable coronary artery disease of the european society of cardiology;Montalescot;Eur Heart J,2013

2. Variability of radiation doses of cardiac diagnostic imaging tests: The RADIO-EVINCI study (RADIationdOse subproject of the EVINCI study);Carpeggiani;BMC Cardiovasc Disord,2017

3. Diagnostic accuracy of 13N-ammonia myocardial perfusion imaging with PET-CT in the detection of coronary artery disease;Fathala;Cardiovasc Diagn Ther,2019

4. Coronary computed tomography angiography and [15 O] H 2 O positron emission tomography perfusion imaging for the assessment of coronary artery disease;van Diemen;Neth Hear J,2020

5. Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT;Slart;Eur J Nucl Med Mol Imaging,2021

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