Your browser doesn't support javascript.
loading
Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients.
Cho, Gene Y; Gennaro, Lucas; Sutton, Elizabeth J; Zabor, Emily C; Zhang, Zhigang; Giri, Dilip; Moy, Linda; Sodickson, Daniel K; Morris, Elizabeth A; Sigmund, Eric E; Thakur, Sunitha B.
Afiliação
  • Cho GY; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Gennaro L; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York School of Medicine, New York, NY, 10016, USA.
  • Sutton EJ; Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, 10016, USA.
  • Zabor EC; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Zhang Z; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Giri D; Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Moy L; Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
  • Sodickson DK; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Morris EA; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York School of Medicine, New York, NY, 10016, USA.
  • Sigmund EE; Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, 10016, USA.
  • Thakur SB; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York School of Medicine, New York, NY, 10016, USA.
Eur J Radiol Open ; 4: 101-107, 2017.
Article em En | MEDLINE | ID: mdl-28856177
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur J Radiol Open Ano de publicação: 2017 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 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur J Radiol Open Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos