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Utility of pre-treatment FDG PET/CT-derived machine learning models for outcome prediction in classical Hodgkin lymphoma.
Frood, Russell; Clark, Matt; Burton, Cathy; Tsoumpas, Charalampos; Frangi, Alejandro F; Gleeson, Fergus; Patel, Chirag; Scarsbrook, Andrew.
Afiliação
  • Frood R; Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK. russellfrood@nhs.net.
  • Clark M; Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK. russellfrood@nhs.net.
  • Burton C; Leeds Institute of Health Research, University of Leeds, Leeds, UK. russellfrood@nhs.net.
  • Tsoumpas C; Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Frangi AF; Department of Haematology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Gleeson F; Department of Nuclear Medicine and Molecular Imaging, University Medical Center of Groningen, University of Groningen, Groningen, Netherlands.
  • Patel C; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Scarsbrook A; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Eur Radiol ; 32(10): 7237-7247, 2022 Oct.
Article em En | MEDLINE | ID: mdl-36006428

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Hodgkin / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Hodgkin / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido