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Both four-dimensional computed tomography and four-dimensional cone beam computed tomography under-predict lung target motion during radiotherapy.
Steiner, Elisabeth; Shieh, Chun-Chien; Caillet, Vincent; Booth, Jeremy; O'Brien, Ricky; Briggs, Adam; Hardcastle, Nicholas; Jayamanne, Dasantha; Szymura, Kathryn; Eade, Thomas; Keall, Paul.
Afiliação
  • Steiner E; ACRF Image X Institute, The University of Sydney Central Clinical School, Australia. Electronic address: elisabeth.steiner@sydney.edu.au.
  • Shieh CC; ACRF Image X Institute, The University of Sydney Central Clinical School, Australia.
  • Caillet V; ACRF Image X Institute, The University of Sydney Central Clinical School, Australia; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia.
  • Booth J; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia; School of Physics, University of Sydney, Australia.
  • O'Brien R; ACRF Image X Institute, The University of Sydney Central Clinical School, Australia.
  • Briggs A; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia.
  • Hardcastle N; Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Australia; Institute of Medical Physics, The University of Sydney, Australia.
  • Jayamanne D; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia.
  • Szymura K; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia.
  • Eade T; Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, Australia; The University of Sydney Northern Clinical School, Australia.
  • Keall P; ACRF Image X Institute, The University of Sydney Central Clinical School, Australia.
Radiother Oncol ; 135: 65-73, 2019 06.
Article em En | MEDLINE | ID: mdl-31015172
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Radiother Oncol Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Radiother Oncol Ano de publicação: 2019 Tipo de documento: Article