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Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.
von Knebel Doeberitz, Philipp L; De Cecco, Carlo N; Schoepf, U Joseph; Duguay, Taylor M; Albrecht, Moritz H; van Assen, Marly; Bauer, Maximilian J; Savage, Rock H; Pannell, J Trent; De Santis, Domenico; Johnson, Addison A; Varga-Szemes, Akos; Bayer, Richard R; Schönberg, Stefan O; Nance, John W; Tesche, Christian.
Afiliação
  • von Knebel Doeberitz PL; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • De Cecco CN; Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim-Heidelberg University, Mannheim, Germany.
  • Schoepf UJ; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Duguay TM; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. schoepf@musc.edu.
  • Albrecht MH; Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA. schoepf@musc.edu.
  • van Assen M; Heart & Vascular Center, Ashley River Tower, Medical University of South Carolina, 25 Courtenay Drive, Charleston, SC, 29425-2260, USA. schoepf@musc.edu.
  • Bauer MJ; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Savage RH; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Pannell JT; Center for Medical Imaging North East Netherlands, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • De Santis D; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Johnson AA; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany.
  • Varga-Szemes A; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Bayer RR; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Schönberg SO; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Nance JW; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Tesche C; Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza", Rome, Italy.
Eur Radiol ; 29(5): 2378-2387, 2019 May.
Article em En | MEDLINE | ID: mdl-30523456

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diagnóstico por Computador / Angiografia Coronária / Estenose Coronária / Reserva Fracionada de Fluxo Miocárdico / Placa Aterosclerótica / Aprendizado de Máquina / Angiografia por Tomografia Computadorizada Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diagnóstico por Computador / Angiografia Coronária / Estenose Coronária / Reserva Fracionada de Fluxo Miocárdico / Placa Aterosclerótica / Aprendizado de Máquina / Angiografia por Tomografia Computadorizada Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article