Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients
| Autor: | Antony J. Lomax, Francesca Albertini, M. Walser, Gitte F. Persson, Mirjana Josipovic, Lena Nenoff, Enrique Javier Amaya, Damien C. Weber, S. Visser, Antje-Christin Knopf, Ye Zhang, Cássia O. Ribeiro, Michael Matter |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Online adaption
Lung Neoplasms animal structures Computer science IMPACT Planning target volume SEGMENTATION Image registration 610 Medicine & health VALIDATION Structure propagation 030218 nuclear medicine & medical imaging Proton therapy Lung cancer 03 medical and health sciences 0302 clinical medicine ANALYTICAL DOSE CALCULATIONS Carcinoma Non-Small-Cell Lung RADIATION-THERAPY HEAD-AND-NECK medicine Humans PROSTATE Radiology Nuclear Medicine and imaging Radiometry business.industry Radiotherapy Planning Computer-Assisted Radiotherapy Dosage Hematology medicine.disease DELINEATION Oncology 030220 oncology & carcinogenesis BREATH-HOLD Radiotherapy Intensity-Modulated Nuclear medicine business RADIOTHERAPY |
| Zdroj: | Radiotherapy & Oncology, 159 Nenoff, L, Matter, M, Amaya, E J, Josipovic, M, Knopf, A C, Lomax, A J, Persson, G F, Ribeiro, C O, Visser, S, Walser, M, Weber, D C, Zhang, Y & Albertini, F 2021, ' Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients ', Radiotherapy and Oncology, vol. 159, pp. 136-143 . https://doi.org/10.1016/j.radonc.2021.03.021 Nenoff, Lena; Matter, Michael; Amaya, Enrique Javier; Josipovic, Mirjana; Knopf, Antje-Christin; John Lomax, Antony; Persson, Gitte F; Ribeiro, Cássia O; Visser, Sabine; Walser, Marc; Weber, Damien Charles; Zhang, Ye; Albertini, Francesca (2021). Dosimetric influence of deformable image registration uncertainties on propagated structures for online daily adaptive proton therapy of lung cancer patients. Radiotherapy and oncology, 159, pp. 136-143. Elsevier 10.1016/j.radonc.2021.03.021 Radiotherapy and Oncology, 159, 136-143. ELSEVIER IRELAND LTD |
| ISSN: | 0167-8140 1879-0887 |
| DOI: | 10.1016/j.radonc.2021.03.021 |
| Popis: | Purpose A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct the daily propagated contours. In this study, we evaluated the dosimetric impact of neglecting the online correction of the propagated contours in a DAPT workflow. Material and methods For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, proton therapy plans were optimised on the planning CT to deliver 60 Gy-RBE in 30 fractions. All repeated CTs were registered with six different clinically used deformable image registration (DIR) algorithms to the corresponding planning CT. Structures were propagated rigidly and with each DIR algorithm and reference structures were contoured on each repeated CT. DAPT plans were optimised with the uncorrected, propagated structures (propagated DAPT doses) and on the reference structures (ideal DAPT doses), non-adapted doses were recalculated on all repeated CTs. Results Due to anatomical changes occurring during the therapy, the clinical target volume (CTV) coverage of the non-adapted doses reduces on average by 9.7% (V95) compared to an ideal DAPT doses. For the propagated DAPT doses, the CTV coverage was always restored (average differences in the CTV V95 < 1% compared to the ideal DAPT doses). Hotspots were always reduced with any DAPT approach. Conclusion For the patients presented here, a benefit of online DAPT was shown, even if the daily optimisation is based on propagated structures with some residual uncertainties. However, a careful (offline) structure review is necessary and corrections can be included in an offline adaption. Radiotherapy & Oncology, 159 ISSN:0167-8140 ISSN:1879-0887 |
| Databáze: | OpenAIRE |
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