Your browser doesn't support javascript.
loading
Sentinel lymph node tumour burden using digital cell count estimation predicts outcomes in melanoma.
Hartsough, Emily M; Miller, Daniel; Shanley, Ryan; Domingo-Musibay, Evidio; Giubellino, Alessio.
Afiliación
  • Hartsough EM; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
  • Miller D; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
  • Shanley R; Department of Dermatology, University of Minnesota, Minneapolis, MN, USA.
  • Domingo-Musibay E; Masonic Cancer Center Biostatistics Core, University of Minnesota, Minneapolis, MN, USA.
  • Giubellino A; Masonic Cancer Center Biostatistics Core, University of Minnesota, Minneapolis, MN, USA.
Histopathology ; 80(6): 954-964, 2022 May.
Article en En | MEDLINE | ID: mdl-34402533

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Ganglio Linfático Centinela / Linfadenopatía / Melanoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Ganglio Linfático Centinela / Linfadenopatía / Melanoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article