Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Matthews Fish"'
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29Prognostic safety of automatic cancellation of rest myocardial perfusion scan by machine learning: a report from multicenter REFINE SPECT registry of new generation SPECT
Autor: M Di Carli, Matthews Fish, Daniel S. Berman, Sharmila Dorbala, Julian Betancur, Terrence D. Ruddy, Evann Eisenberg, D Damini, Andrew J. Einstein, Tali Sharir, Frederic Commandeur, Piotr J. Slomka, Lien-Hsin Hu, Guido Germano
Publikováno v: European Heart Journal. 40
Background We aimed to develop a machine learning (ML) computer score derived from stress imaging and clinical data, which indicates if the rest scan could be automatically and safely canceled in the routine stress/rest myocardial perfusion SPECT (MP
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bcb65ece049ed0ae672cda864cfa581e
https://doi.org/10.1093/eurheartj/ehz747.0001
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Clinical value of attenuation correction in stress-only Tc-99m sestamibi SPECT imaging*1
Autor: Ernest V. Garcia, William VanDecker, Sean W. Hayes, Gary V. Heller, Carlos Poston, Keith Haddock, William P. Follansbee, Kelly L. Moutray, S. James Cullom, Matthews Fish, James R. Galt, John J. Mahmarian, Timothy M. Bateman, Ami E. Iskandrian, E.H. Botvinick, Lynne L. Johnson, J.A. Case
Publikováno v: Journal of Nuclear Cardiology. 11:273-281
Background Attenuation artifact remains a substantial limitation to confident interpretation of images and reduces laboratory efficiency by requiring comparison of stress and rest image sets. Attenuation-corrected stress-only imaging has the potentia
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f2272748839766bdea7326a01bb325ee
https://doi.org/10.1016/j.nuclcard.2004.03.005
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7
REST SCAN DOES NOT IMPROVE AUTOMATIC MACHINE LEARNING PREDICTION OF MAJOR ADVERSE CORONARY EVENTS AFTER HIGH SPEED MYOCARDIAL PERFUSION IMAGING
Autor: Balaji Tamarappoo, Damini Dey, Yuka Otaki, Guido Germano, Mark Lemley, Matthews Fish, Piotr J. Slomka, Julian Betancur, Daniel S. Berman
Publikováno v: Journal of the American College of Cardiology. 69:1590
Background: We aimed to compare the prediction of major adverse cardiac events (MACE) by machine learning (ML) using clinical information and automatically derived image variables from stress and rest scans. Methods: 2619 consecutive patients (48% ma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00896e3f85505d0bcfbdcf80433e0034
https://doi.org/10.1016/s0735-1097(17)34979-3
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Improved accuracy of myocardial perfusion SPECT for the detection of coronary artery disease using a support vector machine algorithm
Autor: Piotr J. Slomka, Sharmila Dorbala, Yuan Xu, Guido Germano, Daniel S. Berman, Matthews Fish, Sean W. Hayes, Damini Dey, Reza Arsanjani
Publikováno v: Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 54(4)
We aimed to improve the diagnostic accuracy of automatic myocardial perfusion SPECT (MPS) interpretation analysis for the prediction of coronary artery disease (CAD) by integrating several quantitative perfusion and functional variables for noncorrec
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f422ec12651e10f0d9c333a3dc72048c
https://pubmed.ncbi.nlm.nih.gov/23482666
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9
Initial multicentre experience of high-speed myocardial perfusion imaging: comparison between high-speed and conventional single-photon emission computed tomography with angiographic validation
Autor: Johanne Neill, Elizabeth M. Prvulovich, Dalia Shiti, Jack A. Ziffer, Simona Ben-Haim, Matthews Fish, Piotr J. Slomka, Daniel S. Berman, Tali Sharir, Marcelo F. DiCarli, Jamshed Bomanji, William H. Martin
Publikováno v: European journal of nuclear medicine and molecular imaging. 40(7)
High-speed (HS) single-photon emission computed tomography (SPECT) with a recently developed solid-state camera shows comparable myocardial perfusion abnormalities to those seen in conventional SPECT. We aimed to compare HS and conventional SPECT ima
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cda46e51b61814b52d4241241a0d6ecf
https://pubmed.ncbi.nlm.nih.gov/23595108
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