First clinical experience with a multiple region of interest registration and correction method in radiotherapy of head-and-neck cancer patients

Autor: Suzanne van Beek, Marcel van Herk, Coen R.N. Rasch, A. Mencarelli, Jan-Jakob Sonke, Peter Remeijer, Simon van Kranen
Přispěvatelé: Graduate School, Other departments, Cancer Center Amsterdam, Other Research, Biomedical Engineering and Physics
Rok vydání: 2010
Předmět:
Zdroj: Radiotherapy and Oncology, 94(2), 213-217. ELSEVIER IRELAND LTD
Radiotherapy and oncology, 94(2), 213-217. Elsevier Ireland Ltd
ISSN: 0167-8140
DOI: 10.1016/j.radonc.2009.12.017
Popis: Purpose: To discuss the first clinical experience with a multiple region of interest (mROI) registration and correction method for high-precision radiotherapy of head-and-neck cancer patients.Materials and methods: 12-13 3D rectangular-shaped ROIs were automatically placed around bony structures on the planning CT scans (n = 50 patients) which were individually registered to subsequent CBCT scans. mROI registration was used to quantify global and local setup errors. The time required to perform the mROI registration was compared with that of a previously used single-ROI method. The number of scans with residual local setup error exceeding 5 mm/5 degrees (warnings) was scored together with the frequency ROIs exceeding these limits for three or more consecutive imaging fractions (systematic errors).Results: In 40% of the CBCT scans, one or more ROI-registrations exceeded the 5 mm/5 degrees. Most warnings were seen in ROI "hyoid", 31% of the rotation warnings and 14% of the translation warnings. Systematic errors lead to 52 consults of the treating physician. The preparation and registration time was similar for both registration methods.Conclusions: The mROI registration method is easy to use with little extra workload, provides additional information on local setup errors, and helps to select patients for re-planning. (C) 2009 Elsevier Ireland Ltd. All rights reserved. Radiotherapy and Oncology 94 (2010) 213-217
Databáze: OpenAIRE