Figure 1: Study workflow. (A) [18F]FMISO
PET was used to derive voxel-level pO2 maps. (B) [18F]FDG
PET provided information on clonogenic tumor cell distribution. These datasets
informed voxel-level dose prescription to counteract radioresistance,
determining required dose escalation for hypoxic volume (C). Resulting planned
dose distribution (D), together with radiosensitivity and clonogenic cell
density maps, was used to predict TCP. Color scale in pO2 map
in panel A shows oxygen distribution (range, 0 100 mm Hg), whereas color scales
in panels C and D show percentage of maximum dose in treatment plans.
The
authors of "Biologically Individualized Radiotherapy
Based on PET: A Novel Approach to Treatment Optimization of Head and Neck
Cancer" include Marta Lazzeroni, Ana Ureba, and Iuliana Toma-Dasu, Department of Physics, Stockholm University,
Stockholm, Sweden, and Department of Oncology and Pathology, Karolinska
Institute, Stockholm, Sweden; Henning Sch ffer, Dimos Baltas, and Anca L.
Grosu, Department of Radiation Oncology, Medical Center, Medical
Faculty Freiburg, German Cancer Consortium Partner Site Freiburg, Freiburg, Germany;
Nils H. Nicolay and Alexander R hle, Department of Radiation Oncology, Medical
Center, Medical Faculty Freiburg, German Cancer Consortium Partner Site
Freiburg, Freiburg, Germany, and Department of Radiation Oncology, University
of Leipzig Medical Center, Leipzig, Germany; Alexandru Dasu, Skandion Clinic, Uppsala, Sweden, and Department of
Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and
Philipp T. Meyer and Michael Mix, Department of Nuclear Medicine, Faculty of
Medicine, Medical Center University of Freiburg, University of Freiburg,
Freiburg, Germany.
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