Deformable image registration uncertainty for inter-fractional dose accumulation of lung cancer proton therapy
| Autor: | Michael Matter, Antony J. Lomax, Lena Nenoff, Johannes A. Langendijk, Ye Zhang, Cássia O. Ribeiro, Luana Hafner, Mirjana Josipovic, Antje Knopf, Gitte F. Persson, M. Walser, Damien C. Weber, Francesca Albertini |
|---|---|
| Přispěvatelé: | Guided Treatment in Optimal Selected Cancer Patients (GUTS), Damage and Repair in Cancer Development and Cancer Treatment (DARE) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Dose accumulation
Lung Neoplasms Planning target volume Image registration Dose distribution NSCLC 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Carcinoma Non-Small-Cell Lung medicine Proton Therapy Dose effect Humans Radiology Nuclear Medicine and imaging Lung cancer Radiometry Proton therapy business.industry Visually guided Radiotherapy Planning Computer-Assisted Uncertainty Radiotherapy Dosage Hematology medicine.disease Deformable image registration Oncology 030220 oncology & carcinogenesis Nuclear medicine business Algorithms |
| Zdroj: | Radiotherapy and Oncology, 147, 178-185. ELSEVIER IRELAND LTD Radiotherapy & Oncology, 147 Nenoff, L, Ribeiro, C O, Matter, M, Hafner, L, Josipovic, M, Langendijk, J A, Persson, G F, Walser, M, Weber, D C, Lomax, A J, Knopf, A C, Albertini, F & Zhang, Y 2020, ' Deformable image registration uncertainty for inter-fractional dose accumulation of lung cancer proton therapy ', Radiotherapy and Oncology, vol. 147, pp. 178-185 . https://doi.org/10.1016/j.radonc.2020.04.046 |
| ISSN: | 1879-0887 0167-8140 |
| DOI: | 10.1016/j.radonc.2020.04.046 |
| Popis: | Background and purpose Non-small cell lung cancer (NSCLC) patients show typically large anatomical changes during treatment, making recalculation or adaption necessary. For report and review, the applied treatment dose can be accumulated on the reference planning CT using deformable image registration (DIR). We investigated the dosimetric impact of using six different clinically available DIR algorithms for dose accumulation in presence of inter-fractional anatomy variations. Materials and methods For seven NSCLC patients, proton treatment plans with 66 Gy-RBE to the planning target volume (PTV) were optimised. Nine repeated CTs were registered to the planning CT using six DIR algorithms each. All CTs were acquired in visually guided deep-inspiration breath-hold. The plans were recalculated on the repeated CTs and warped back to the planning CT using the corresponding DIRs. Fraction doses warped with the same DIR were summed up to six different accumulated dose distributions per patient, and compared to the initial dose. Results The PTV-V95 of accumulated doses decreased by 16% on average over all patients, with variations due to DIR selection of 8.7%. A separation of the dose effects caused by anatomical changes and DIR uncertainty showed a good agreement between the dose degradation caused by anatomical changes and the dose predicted from the average of all DIRs (differences of only 1.6%). Conclusion The dose degradation caused by anatomical changes was more pronounced than the uncertainty of employing different DIRs for dose accumulation, with averaged results from several DIRs providing a good representation of dose degradation caused by anatomy. However, accumulated dose variations between DIRs can be substantial, leading to an additional dose uncertainty. Radiotherapy & Oncology, 147 ISSN:0167-8140 ISSN:1879-0887 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect