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A radiomic- and dosiomic-based machine learning regression model for pretreatment planning in 177 Lu-DOTATATE therapy.
Plachouris, Dimitris; Eleftheriadis, Vassilios; Nanos, Thomas; Papathanasiou, Nikolaos; Sarrut, David; Papadimitroulas, Panagiotis; Savvidis, Georgios; Vergnaud, Laure; Salvadori, Julien; Imperiale, Alessio; Visvikis, Dimitrios; Hazle, John D; Kagadis, George C.
Afiliação
  • Plachouris D; 3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.
  • Eleftheriadis V; Bioemission Technology Solutions - BIOEMTECH, Athens, Greece.
  • Nanos T; 3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.
  • Papathanasiou N; Department of Nuclear Medicine, School of Medicine, University of Patras, Rion, Greece.
  • Sarrut D; CREATIS, CNRS, Universite de Lyon, Lyon, France.
  • Papadimitroulas P; Bioemission Technology Solutions - BIOEMTECH, Athens, Greece.
  • Savvidis G; Bioemission Technology Solutions - BIOEMTECH, Athens, Greece.
  • Vergnaud L; CREATIS, CNRS, Universite de Lyon, Lyon, France.
  • Salvadori J; Institut de cancérologie Strasbourg Europe, Strasbourg, France.
  • Imperiale A; Institut de cancérologie Strasbourg Europe, Strasbourg, France.
  • Visvikis D; LaTIM, INSERM, UMR1101, Camille Desmoulins Av. 22, Brest, France.
  • Hazle JD; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Kagadis GC; 3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, Greece.
Med Phys ; 50(11): 7222-7235, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37722718
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Tumores Neuroendócrinos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Tumores Neuroendócrinos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article