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Neoadjuvant immune-checkpoint inhibitors in lung cancer - a primer for radiologists.
Kifjak, Daria; Hochmair, Maximilian J; Krenbek, Dagmar; Milos, Ruxandra-Iulia; Heidinger, Benedikt H; Prayer, Florian; Röhrich, Sebastian; Watzenboeck, Martin L; Oberndorfer, Felicitas; Klikovits, Thomas; Aigner, Clemens; Sinn, Katharina; Hoda, Mir Alireza; Hoetzenecker, Konrad; Haug, Alexander R; Prosch, Helmut; Beer, Lucian.
Afiliação
  • Kifjak D; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria; Department of Radiology, UMass Memorial Medical Center and University o
  • Hochmair MJ; Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf, Vienna, Austria; Department of Respiratory and Critical Care Medicine, Klinik Floridsdorf, Vienna Healthcare Group, Vienna, Austria.
  • Krenbek D; Department of Pathology, Klinik Floridsdorf, Vienna Healthcare Group, Vienna, Austria.
  • Milos RI; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria.
  • Heidinger BH; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria.
  • Prayer F; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria.
  • Röhrich S; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria.
  • Watzenboeck ML; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria.
  • Oberndorfer F; Clinical Institute of Pathology, Medical University Vienna, Vienna, Austria.
  • Klikovits T; Department of Thoracic Surgery, Klinik Floridsdorf, Vienna Healthcare Group, Vienna, Austria.
  • Aigner C; Department of Thoracic Surgery, Klinik Floridsdorf, Vienna Healthcare Group, Vienna, Austria.
  • Sinn K; Department of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Hoda MA; Department of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Hoetzenecker K; Department of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Haug AR; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Prosch H; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria.
  • Beer L; Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, Medical University of Vienna, Vienna, Austria. Electronic address: lucian.beer@meduniwien.ac.at.
Eur J Radiol ; 161: 110732, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36804313
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Prognostic_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 Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article