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Cancers (Basel). 2020 Oct 19;12(10). doi: 10.3390/cancers12103047.

Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC.

Cancers

Stefan Leger, Alex Zwanenburg, Karoline Leger, Fabian Lohaus, Annett Linge, Andreas Schreiber, Goda Kalinauskaite, Inge Tinhofer, Nika Guberina, Maja Guberina, Panagiotis Balermpas, Jens von der Grün, Ute Ganswindt, Claus Belka, Jan C Peeken, Stephanie E Combs, Simon Boeke, Daniel Zips, Christian Richter, Mechthild Krause, Michael Baumann, Esther G C Troost, Steffen Löck

Affiliations

  1. OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, 01307 Dresden, Germany.
  2. German Cancer Research Center (DKFZ), Heidelberg and German Cancer Consortium (DKTK) Partner Site, 01307 Dresden, Germany.
  3. National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany, and; Helmholtz-Zentrum Dresden-Rossendorf (HZDR), 01328 Dresden, Germany.
  4. Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
  5. Department of Radiotherapy, Hospital Dresden-Friedrichstadt, 01067 Dresden, Germany.
  6. German Cancer Research Center (DKFZ), Heidelberg and German Cancer Consortium (DKTK) Partner Site, 10117 Berlin, Germany.
  7. Department of Radiooncology and Radiotherapy, Charité University Hospital, 10117 Berlin, Germany.
  8. German Cancer Research Center (DKFZ), Heidelberg and German Cancer Consortium (DKTK) Partner Site, 45147 Essen, Germany.
  9. Department of Radiotherapy, University Hospital Essen, Medical Faculty, University of Duisburg-Essen, 45147 Essen, Germany.
  10. German Cancer Research Center (DKFZ), Heidelberg and German Cancer Consortium (DKTK) Partner Site, 60596 Frankfurt, Germany.
  11. Department of Radiotherapy and Oncology, Goethe-University Frankfurt, 60596 Frankfurt, Germany.
  12. German Cancer Research Center (DKFZ), Heidelberg and German Cancer Consortium (DKTK) Partner Site, 81377 Munich, Germany.
  13. Department of Radiation Oncology, Ludwig-Maximilians-Universität, 81377 Munich, Germany.
  14. Clinical Cooperation Group, Personalized Radiotherapy in Head and Neck Cancer, Helmholtz Zentrum, 81377 Munich, Germany.
  15. Department of Radiation Oncology, Medical University of Innsbruck, Anichstraße 35, A-6020 Innsbruck, Austria.
  16. Department of Radiation Oncology, Technische Universität München, 81675 Munich, Germany.
  17. Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany.
  18. German Cancer Research Center (DKFZ), Heidelberg and German Cancer Consortium (DKTK) Partner Site, 72076 Tübingen, Germany.
  19. Department of Radiation Oncology, Faculty of Medicine and University Hospital Tübingen, Eberhard Karls Universität Tübingen, 72076 Tübingen, Germany.
  20. Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology-OncoRay, 01328 Dresden, Germany.
  21. German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.

PMID: 33086761 PMCID: PMC7589463 DOI: 10.3390/cancers12103047

Abstract

Imaging features for radiomic analyses are commonly calculated from the entire gross tumour volume (GTV

Keywords: image-based risk modelling; machine learning; personalised therapy; radiation oncology; radiomic

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