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Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer- A recipe for your local application.
Hsu, Tzu-Ming Harry; Schawkat, Khoschy; Berkowitz, Seth J; Wei, Jesse L; Makoyeva, Alina; Legare, Kaila; DeCicco, Corinne; Paez, S Nicolas; Wu, Jim S H; Szolovits, Peter; Kikinis, Ron; Moser, Arthur J; Goehler, Alexander.
Afiliação
  • Hsu TH; MIT Computer Science & Artificial Intelligence Laboratory, 32 Vassar St, Cambridge, MA 02139, United States.
  • Schawkat K; Department of Radiology, Beth-Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
  • Berkowitz SJ; Department of Radiology, Beth-Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • Wei JL; Department of Radiology, Beth-Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • Makoyeva A; Department of Radiology, Beth-Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • Legare K; Department of Radiology, Beth-Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • DeCicco C; The Pancreas and Liver Institute, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • Paez SN; Department of Radiology, Beth-Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • Wu JSH; Department of Radiology, Beth-Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • Szolovits P; MIT Computer Science & Artificial Intelligence Laboratory, 32 Vassar St, Cambridge, MA 02139, United States.
  • Kikinis R; Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, 75 Francis St. Boston, MA 02215, United States.
  • Moser AJ; The Pancreas and Liver Institute, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, United States.
  • Goehler A; MIT Computer Science & Artificial Intelligence Laboratory, 32 Vassar St, Cambridge, MA 02139, United States; Center for Evidence Based Imaging, Department of Radiology, Brigham and Women's Hospital, 20 Kent Street, Brookline, MA 02445, United States. Electronic address: agoehler@post.harvard.edu
Eur J Radiol ; 142: 109834, 2021 Sep.
Article em En | MEDLINE | ID: mdl-34252866
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Sarcopenia Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Radiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Sarcopenia Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Radiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos