In 2023 PET myocardial perfusion imaging is preferred to invasive coronary angiography for the initial work-up of a symptomatic patient with a high coronary artery calcium score von Bateman, Timothy M.

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Reducing Radiation While Improving the Quality and Efficiency of Nuclear Cardiology Procedures von Bateman, Timothy M.

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Phase-III Clinical Trial of Fluorine-18 Flurpiridaz Positron Emission Tomography for Evaluation of Coronary Artery Disease von Maddahi, Jamshid, Lazewatsky, Joel, Udelson, James E., Berman, Daniel S., Beanlands, Rob S.B., Heller, Gary V., Bateman, Timothy M., Knuuti, Juhani, Orlandi, Cesare

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Advantages and disadvantages of PET and SPECT in a busy clinical practice von Bateman, Timothy M.

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Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC von Murthy, Venkatesh L, Bateman, Timothy M, Beanlands, Rob S, Berman, Daniel S, Borges-Neto, Salvador, Chareonthaitawee, Panithaya, Cerqueira, Manuel D, deKemp, Robert A, DePuey, E Gordon, Dilsizian, Vasken, Dorbala, Sharmila, Ficaro, Edward P, Garcia, Ernest V, Gewirtz, Henry, Heller, Gary V, Lewin, Howard C, Malhotra, Saurabh, Mann, April, Ruddy, Terrence D, Schindler, Thomas H, Schwartz, Ronald G, Slomka, Piotr J, Soman, Prem, Di Carli, Marcelo F

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Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study von Betancur, Julian, Hu, Lien-Hsin, Commandeur, Frederic, Sharir, Tali, Einstein, Andrew J, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp A, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, Di Carli, Marcelo, Germano, Guido, Otaki, Yuka, Liang, Joanna X, Tamarappoo, Balaji K, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Anatomic Versus Physiologic Assessment of Coronary Artery Disease von Gould, K. Lance, MD, Johnson, Nils P., MD, MS, Bateman, Timothy M., MD, Beanlands, Rob S., MD, Bengel, Frank M., MD, Bober, Robert, MD, Camici, Paolo G., MD, Cerqueira, Manuel D., MD, Chow, Benjamin J.W., MD, Di Carli, Marcelo F., MD, Dorbala, Sharmila, MD, MPH, Gewirtz, Henry, MD, Gropler, Robert J., MD, Kaufmann, Philipp A., MD, Knaapen, Paul, MD, PhD, Knuuti, Juhani, MD, PhD, Merhige, Michael E., MD, Rentrop, K. Peter, MD, Ruddy, Terrence D., MD, Schelbert, Heinrich R., MD, PhD, Schindler, Thomas H., MD, Schwaiger, Markus, MD, Sdringola, Stefano, MD, Vitarello, John, MD, Williams, Kim A., MD, Gordon, Donald, MD, Dilsizian, Vasken, MD, Narula, Jagat, MD, PhD

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Assessment of Myocardial Perfusion in Patients After CABG: An Update and Clinical Implications von Ejaz, Ain, Naqvi, Aliza Hasnain, Perumalla, Hima Sanjana, Bateman, Timothy M.

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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study von Betancur, Julian, Commandeur, Frederic, Motlagh, Mahsaw, Sharir, Tali, Einstein, Andrew J, Bokhari, Sabahat, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, Di Carli, Marcelo, Germano, Guido, Otaki, Yuka, Tamarappoo, Balaji K, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging von Miller, Robert J H, Kuronuma, Keiichiro, Singh, Ananya, Otaki, Yuka, Hayes, Sean, Chareonthaitawee, Panithaya, Kavanagh, Paul, Parekh, Tejas, Tamarappoo, Balaji K, Sharir, Tali, Einstein, Andrew J, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp A, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, Carli, Marcelo Di, Cadet, Sebastien, Liang, Joanna X, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Myocardial blood flow reserve assessed by positron emission tomography myocardial perfusion imaging identifies patients with a survival benefit from early revascularization von Patel, Krishna K, Spertus, John A, Chan, Paul S, Sperry, Brett W, Al Badarin, Firas, Kennedy, Kevin F, Thompson, Randall C, Case, James A, McGhie, A Iain, Bateman, Timothy M

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Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC von Murthy, Venkatesh L., Bateman, Timothy M., Beanlands, Rob S., Berman, Daniel S., Borges-Neto, Salvador, Chareonthaitawee, Panithaya, Cerqueira, Manuel D., deKemp, Robert A., DePuey, E. Gordon, Dilsizian, Vasken, Dorbala, Sharmila, Ficaro, Edward P., Garcia, Ernest V., Gewirtz, Henry, Heller, Gary V., Lewin, Howard C., Malhotra, Saurabh, Mann, April, Ruddy, Terrence D., Schindler, Thomas H., Schwartz, Ronald G., Slomka, Piotr J., Soman, Prem, Di Carli, Marcelo F., Einstein, Andrew, Russell, Raymond, Corbett, James R.

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Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry von Hu, Lien-Hsin, Betancur, Julian, Sharir, Tali, Einstein, Andrew J, Bokhari, Sabahat, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp A, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, Di Carli, Marcelo, Germano, Guido, Commandeur, Frederic, Liang, Joanna X, Otaki, Yuka, Tamarappoo, Balaji K, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Extent of Myocardial Ischemia on Positron Emission Tomography and Survival Benefit With Early Revascularization von Patel, Krishna K., Spertus, John A., Chan, Paul S., Sperry, Brett W., Thompson, Randall C., Al Badarin, Firas, Kennedy, Kevin F., Case, James A., Courter, Staci, Saeed, Ibrahim M., McGhie, A. Iain, Bateman, Timothy M.

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Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry von Rios, Richard, Miller, Robert J H, Hu, Lien Hsin, Otaki, Yuka, Singh, Ananya, Diniz, Marcio, Sharir, Tali, Einstein, Andrew J, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp A, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, DiCarli, Marcelo, Van Kriekinge, Serge, Kavanagh, Paul, Parekh, Tejas, Liang, Joanna X, Dey, Damini, Berman, Daniel S, Slomka, Piotr

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Technetium pyrophosphate nuclear scintigraphy for cardiac amyloidosis: Imaging at 1 vs 3 hours and planar vs SPECT/CT von Sperry, Brett W., Burgett, Eric, Bybee, Kevin A., McGhie, A. Iain, O’Keefe, James H., Saeed, Ibrahim M., Thompson, Randall C., Bateman, Timothy M.

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Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease von Otaki, Yuka, Singh, Ananya, Kavanagh, Paul, Miller, Robert J.H., Parekh, Tejas, Tamarappoo, Balaji K., Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Cadet, Sebastien, Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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American Society of Nuclear Cardiology and Society of Nuclear Medicine and Molecular Imaging Joint Position Statement on the Clinical Indications for Myocardial Perfusion PET von Bateman, Timothy M, Dilsizian, Vasken, Beanlands, Rob S, DePuey, E Gordon, Heller, Gary V, Wolinsky, David A

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Cardiac sarcoidosis: An important niche for PET, but a journey just begun von Bateman, Timothy M.

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Anatomic Versus Physiologic Assessment of Coronary Artery Disease: Role of Coronary Flow Reserve, Fractional Flow Reserve, and Positron Emission Tomography Imaging in Revasculariza... von GOULD, K. Lance, JOHNSON, Nils P, DORBALA, Sharmila, GEWIRTZ, Henry, GROPLER, Robert J, KAUFMANN, Philipp A, KNAAPEN, Paul, KNUUTI, Juhani, MERHIGE, Michael E, RENTROP, K. Peter, RUDDY, Terrence D, SCHELBERT, Heinrich R, BATEMAN, Timothy M, SCHINDLER, Thomas H, SCHWAIGER, Markus, SDRINGOLA, Stefano, VITARELLO, John, WILLIAMS, Kim A, GORDON, Donald, DILSIZIAN, Vasken, NARULA, Jagat, BEANLANDS, Rob S, BENGEL, Frank M, BOBER, Robert, CAMICI, Paolo G, CERQUEIRA, Manuel D, CHOW, Benjamin J. W, DI CARLI, Marcelo F

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