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Dose painting by numbers based on retrospectively determined recurrence probabilities
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medical Radiation Science. Uppsala Univ, Med Radiat Sci, Dept Immunol Genet & Pathol, Uppsala, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Experimental and Clinical Oncology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medical Radiation Science.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medical Radiation Science.
2017 (English)In: Radiotherapy and Oncology, ISSN 0167-8140, E-ISSN 1879-0887, Vol. 122, no 2, 236-241 p.Article in journal (Refereed) Published
Abstract [en]

Background and purpose: The aim of this study is to derive "dose painting by numbers" prescriptions from retrospectively observed recurrence volumes in a patient group treated with conventional radiotherapy for head and neck squamous cell carcinoma. Materials and methods: The spatial relation between retrospectively observed recurrence volumes and pre-treatment standardized uptake values (SUV) from fluorodeoxyglucose positron emission tomography (FDG-PET) imaging was determined. Based on this information we derived SUV driven dose-response functions and used these to optimize ideal dose redistributions under the constraint of equal average dose to the tumor volumes as for a conventional treatment. The response functions were also implemented into a treatment planning system for realistic dose optimization. Results: The calculated tumor control probabilities (TCP) increased between 0.1-14.6% by the ideal dose redistributions for all included patients, where patients with larger and more heterogeneous tumors got greater increases than smaller and more homogeneous tumors. Conclusions: Dose painting prescriptions can be derived from retrospectively observed recurrence volumes spatial relation to pre-treatment FDG-PET image data. The ideal dose redistributions could significantly increase the TCP for patients with large tumor volumes and large spread in SUV from FDG-PET. The results yield a basis for prospective studies to determine the clinical value for dose painting of head and neck squamous cell carcinomas.

Place, publisher, year, edition, pages
ELSEVIER IRELAND LTD , 2017. Vol. 122, no 2, 236-241 p.
Keyword [en]
Dose painting, Dose painting by numbers, Dose painting optimization, Head and neck cancer, FDG-PET/CT
National Category
Cancer and Oncology Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:uu:diva-320782DOI: 10.1016/j.radonc.2016.09.007ISI: 000395607300011PubMedID: 27707505OAI: oai:DiVA.org:uu-320782DiVA: diva2:1090744
Funder
Swedish Cancer Society, 130632
Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2017-04-25Bibliographically approved

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Grönlund, EricJohansson, SilviaMontelius, AndersAhnesjö, Anders
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