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Computed tomography-based radiomic to predict resectability in locally advanced pancreatic cancer treated with chemotherapy and radiotherapy.
Rossi, Gabriella; Altabella, Luisa; Simoni, Nicola; Benetti, Giulio; Rossi, Roberto; Venezia, Martina; Paiella, Salvatore; Malleo, Giuseppe; Salvia, Roberto; Guariglia, Stefania; Bassi, Claudio; Cavedon, Carlo; Mazzarotto, Renzo.
Afiliação
  • Rossi G; Department of Radiation Oncology, University of Verona Hospital Trust, Verona 37126, Italy.
  • Altabella L; Department of Medical Physics, University of Verona Hospital Trust, Verona 37126, Italy.
  • Simoni N; Department of Radiation Oncology, University of Verona Hospital Trust, Verona 37126, Italy. nicolasimoni81@gmail.com.
  • Benetti G; Department of Medical Physics, University of Verona Hospital Trust, Verona 37126, Italy.
  • Rossi R; Department of Radiation Oncology, University of Verona Hospital Trust, Verona 37126, Italy.
  • Venezia M; Department of Radiation Oncology, University of Verona Hospital Trust, Verona 37126, Italy.
  • Paiella S; Department of General and Pancreatic Surgery, Pancreas Institute, University of Verona Hospital Trust, Verona 37126, Italy.
  • Malleo G; Department of General and Pancreatic Surgery, Pancreas Institute, University of Verona Hospital Trust, Verona 37126, Italy.
  • Salvia R; Department of General and Pancreatic Surgery, Pancreas Institute, University of Verona Hospital Trust, Verona 37126, Italy.
  • Guariglia S; Department of Medical Physics, University of Verona Hospital Trust, Verona 37126, Italy.
  • Bassi C; Department of General and Pancreatic Surgery, Pancreas Institute, University of Verona Hospital Trust, Verona 37126, Italy.
  • Cavedon C; Department of Medical Physics, University of Verona Hospital Trust, Verona 37126, Italy.
  • Mazzarotto R; Department of Radiation Oncology, University of Verona Hospital Trust, Verona 37126, Italy.
World J Gastrointest Oncol ; 14(3): 703-715, 2022 Mar 15.
Article em En | MEDLINE | ID: mdl-35321278
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: World J Gastrointest Oncol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: World J Gastrointest Oncol Ano de publicação: 2022 Tipo de documento: Article