An approach for estimating dosimetric uncertainties in deformable dose accumulation in pencil beam scanning proton therapy for lung cancer
| Autor: | Francesca Albertini, Antony J. Lomax, Ye Zhang, Jan Unkelbach, Cássia O. Ribeiro, Lena Nenoff, Antje-Christin Knopf, Florian Amstutz, Damien C. Weber |
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| Přispěvatelé: | University of Zurich, Zhang, Ye |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Lung Neoplasms
INTERPLAY IMPACT medicine.medical_treatment ACCURACY Image registration 610 Medicine & health computer.software_genre Voxel Image Processing Computer-Assisted medicine proton therapy Humans 2741 Radiology Nuclear Medicine and Imaging PLANS TOOL Radiology Nuclear Medicine and imaging Image warping Radiometry Pencil-beam scanning deformable image registration Proton therapy IMAGE REGISTRATION 3614 Radiological and Ultrasound Technology Mathematics Reference dose Radiological and Ultrasound Technology Dose accumulation business.industry dose accumulation Radiotherapy Planning Computer-Assisted Uncertainty Radiotherapy Dosage uncertainties 10044 Clinic for Radiation Oncology Radiation therapy lung cancer PHOTON DISTANCE Nuclear medicine business 610 Medizin und Gesundheit computer Algorithms RADIOTHERAPY |
| Zdroj: | Physics in Medicine and Biology, 66(10):105007, 1-12. IOP PUBLISHING LTD |
| ISSN: | 0031-9155 |
| DOI: | 10.1088/1361-6560/abf8f5 |
| Popis: | Background and purpose Deformable image registration (DIR) is an important component for dose accumulation and associated clinical outcome evaluation in radiotherapy. However, as an ill-posed problem, the resulting deformation vector field (DVF) is subject to unavoidable discrepancies when different algorithms are applied, leading to dosimetric uncertainties of the accumulated dose. We propose here an approach for proton therapy to estimate dosimetric uncertainties as a consequence of modeled or estimated DVF uncertainties. Materials and methods A patient-specific DVF uncertainty model was built on the first treatment fraction, by correlating the magnitude differences of five DIR results at each voxel to the magnitude of any single reference DIR. In the following fractions, only the reference DIR needs to be applied, and DVF geometric uncertainties were estimated by this model. The associated dosimetric uncertainties were then derived by considering the estimated geometric DVF uncertainty, the dose gradient of fractional recalculated dose distribution and the direction factor from the applied reference DIR of this fraction. This estimated dose uncertainty was respectively compared to the reference dose uncertainty when different DIRs were applied individually for each dose warping. This approach was validated on seven NSCLC patients, each with nine repeated CTs. Results The proposed model-based method is able to achieve dose uncertainty distribution on a conservative voxel-to-voxel comparison within ±5% of the prescribed dose to the 'reference' dosimetric uncertainty, for 77% of the voxels in the body and 66-98% of voxels in investigated structures. Conclusion We propose a method to estimate DIR induced uncertainties in dose accumulation for proton therapy of lung tumor treatments. |
| Databáze: | OpenAIRE |
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