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Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.
Burnside, Elizabeth S; Drukker, Karen; Li, Hui; Bonaccio, Ermelinda; Zuley, Margarita; Ganott, Marie; Net, Jose M; Sutton, Elizabeth J; Brandt, Kathleen R; Whitman, Gary J; Conzen, Suzanne D; Lan, Li; Ji, Yuan; Zhu, Yitan; Jaffe, Carl C; Huang, Erich P; Freymann, John B; Kirby, Justin S; Morris, Elizabeth A; Giger, Maryellen L.
Afiliación
  • Burnside ES; Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
  • Drukker K; Department of Radiology, University of Chicago, Chicago, Illinois.
  • Li H; Department of Radiology, University of Chicago, Chicago, Illinois.
  • Bonaccio E; Department of Radiology, Roswell Park Cancer Institute, Buffalo, New York.
  • Zuley M; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Ganott M; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Net JM; University of Miami, Miller School of Medicine, Miami, Florida.
  • Sutton EJ; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Brandt KR; Department of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota.
  • Whitman GJ; Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Conzen SD; Department of Radiology, University of Chicago, Chicago, Illinois.
  • Lan L; Department of Radiology, University of Chicago, Chicago, Illinois.
  • Ji Y; Department of Health Studies, University of Chicago, Chicago, Illinois.
  • Zhu Y; Program of Computational Genomics and Medicine, NorthShore University HealthSystem, Evanston, Illinois.
  • Jaffe CC; Program of Computational Genomics and Medicine, NorthShore University HealthSystem, Evanston, Illinois.
  • Huang EP; National Cancer Institute, National Institutes of Health, Rockville, Maryland.
  • Freymann JB; National Cancer Institute, National Institutes of Health, Rockville, Maryland.
  • Kirby JS; National Cancer Institute, National Institutes of Health, Rockville, Maryland.
  • Morris EA; National Cancer Institute, National Institutes of Health, Rockville, Maryland.
  • Giger ML; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Cancer ; 122(5): 748-57, 2016 Mar 01.
Article en En | MEDLINE | ID: mdl-26619259
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias de la Mama / Carcinoma Lobular / Carcinoma Ductal de Mama / Ganglios Linfáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Cancer Año: 2016 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias de la Mama / Carcinoma Lobular / Carcinoma Ductal de Mama / Ganglios Linfáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Revista: Cancer Año: 2016 Tipo del documento: Article Pais de publicación: Estados Unidos