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A prognostic model integrating PET-derived metrics and image texture analyses with clinical risk factors from GOYA.
Kostakoglu, Lale; Dalmasso, Federico; Berchialla, Paola; Pierce, Larry A; Vitolo, Umberto; Martelli, Maurizio; Sehn, Laurie H; Trnený, Marek; Nielsen, Tina G; Bolen, Christopher R; Sahin, Deniz; Lee, Calvin; El-Galaly, Tarec Christoffer; Mattiello, Federico; Kinahan, Paul E; Chauvie, Stephane.
Affiliation
  • Kostakoglu L; Department of Radiology and Medical Imaging University of Virginia Charlottesville Virginia USA.
  • Dalmasso F; Medical Physics Division Santa Croce e Carle Hospital Cuneo Italy.
  • Berchialla P; Department of Clinical and Biological Sciences University of Turin Turin Italy.
  • Pierce LA; Department of Radiology University of Washington Seattle Washington USA.
  • Vitolo U; Multidisciplinary Oncology Outpatient Clinic Candiolo Cancer Institute Candiolo Italy.
  • Martelli M; Hematology Department of Translational and Precision Medicine Sapienza University Rome Italy.
  • Sehn LH; BC Cancer Center for Lymphoid Cancer and the University of British Columbia Vancouver British Columbia Canada.
  • Trnený M; 1st Faculty of Medicine Charles University General Hospital Prague Czech Republic.
  • Nielsen TG; F. Hoffmann-La Roche Ltd Basel Switzerland.
  • Bolen CR; Genentech, Inc. South San Francisco California USA.
  • Sahin D; F. Hoffmann-La Roche Ltd Basel Switzerland.
  • Lee C; Genentech, Inc. South San Francisco California USA.
  • El-Galaly TC; F. Hoffmann-La Roche Ltd Basel Switzerland.
  • Mattiello F; Department of Hematology Aalborg University Hospital Aalborg Denmark.
  • Kinahan PE; F. Hoffmann-La Roche Ltd Basel Switzerland.
  • Chauvie S; Department of Radiology University of Washington Seattle Washington USA.
EJHaem ; 3(2): 406-414, 2022 May.
Article de En | MEDLINE | ID: mdl-35846039

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: EJHaem Année: 2022 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: EJHaem Année: 2022 Type de document: Article