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Adaptive Radiotherapy (ART) aims to optimize treatment plans by adapting to daily anatomical changes, potentially improving therapeutic outcomes, and reducing toxicity to surrounding tissues. One of the unaddressed questions regarding ART is whether the fractional adapted dose should be accumulated voxel by voxel through deformation to document the final dose summation. By accurately summing doses from different treatment sessions,Deformable Dose Accumulation (DDA) helps in maintaining optimal dose delivery and ensures that both maximum and volumetric dose constraints are respected. However, inaccuracies in deformable image registration (DIR), due to the complexities of mapping anatomical changes, can lead to errors in dose accumulation. This article presents a detailed point-counterpoint discussion on the role of DDA in ART. Dr. Hualiang Zhong advocates for DDA, emphasizing its ability to enhance the accuracy of cumulative dose calculations. Conversely, Dr. Jennifer Pursley raises significant concerns about the uncertainties and practical limitations of DDA, as well as the challenges of implementing DDA in a clinical setting. Both sides present compelling arguments, contributing to a comprehensive analysis of the benefits and challenges associated with implementing DDA in clinical practice. This debate offers valuable insights for medical physicists and radiation oncologists, encouraging a deeper understanding of the complexities involved in ART. Dr. Zhong is an associate professor and board-certified physicist in the Department of Radiation Oncology at the Medical College of Wisconsin (MCW). He received his PhD in Mathematics from the University of Western Ontario in 2000. After completing his postdoctoral training in Medical Imaging at the Robarts Research Institute in Canada,he was appointed as an assistant professor of Medical Physics at Virginia Commonwealth University in 2006 and later served as a staff physicist at Henry Ford Health System until he Hualiang Zhong and Jennifer M. Pursley contributed equally to this manuscript.
Adaptive Radiotherapy (ART) aims to optimize treatment plans by adapting to daily anatomical changes, potentially improving therapeutic outcomes, and reducing toxicity to surrounding tissues. One of the unaddressed questions regarding ART is whether the fractional adapted dose should be accumulated voxel by voxel through deformation to document the final dose summation. By accurately summing doses from different treatment sessions,Deformable Dose Accumulation (DDA) helps in maintaining optimal dose delivery and ensures that both maximum and volumetric dose constraints are respected. However, inaccuracies in deformable image registration (DIR), due to the complexities of mapping anatomical changes, can lead to errors in dose accumulation. This article presents a detailed point-counterpoint discussion on the role of DDA in ART. Dr. Hualiang Zhong advocates for DDA, emphasizing its ability to enhance the accuracy of cumulative dose calculations. Conversely, Dr. Jennifer Pursley raises significant concerns about the uncertainties and practical limitations of DDA, as well as the challenges of implementing DDA in a clinical setting. Both sides present compelling arguments, contributing to a comprehensive analysis of the benefits and challenges associated with implementing DDA in clinical practice. This debate offers valuable insights for medical physicists and radiation oncologists, encouraging a deeper understanding of the complexities involved in ART. Dr. Zhong is an associate professor and board-certified physicist in the Department of Radiation Oncology at the Medical College of Wisconsin (MCW). He received his PhD in Mathematics from the University of Western Ontario in 2000. After completing his postdoctoral training in Medical Imaging at the Robarts Research Institute in Canada,he was appointed as an assistant professor of Medical Physics at Virginia Commonwealth University in 2006 and later served as a staff physicist at Henry Ford Health System until he Hualiang Zhong and Jennifer M. Pursley contributed equally to this manuscript.
BackgroundDose calculation in radiotherapy aims to accurately estimate and assess the dose distribution of a treatment plan. Monte Carlo (MC) dose calculation is considered the gold standard owing to its ability to accurately simulate particle transport in inhomogeneous media. However, uncertainties such as the patient's dynamically deforming anatomy can still lead to differences between the delivered and planned dose distribution.PurposeDevelopment and validation of a deformable voxel geometry for MC dose calculations (DefVoxMC) to account for dynamic deformation in the dose calculation process of photon‐ and electron‐based radiotherapy treatment plans for clinically motivated cases.MethodsDefVoxMC relies on the subdivision of a regular voxel geometry into dodecahedrons. It allows shifting the dodecahedrons’ corner points according to the deformation in the patient's anatomy using deformation vector fields (DVF). DefVoxMC is integrated into the Swiss Monte Carlo Plan (SMCP) to allow the MC dose calculation of photon‐ and electron‐based treatment plans on the deformable voxel geometry. DefVoxMC is validated in two steps. A compression test and a Fano test are performed in silico. Delta4 (for photon beams) and EBT4 film measurements in a cubic PMMA phantom (for electron beams) are performed on a TrueBeam in Developer Mode for clinically motivated treatment plans. During these measurements, table motion is used to mimic rigid dynamic patient motion. The measured and calculated dose distributions are compared using gamma passing rate (GPR) (3% / 2 mm (global), 10% threshold). DefVoxMC is used to study the impact of patient‐recorded breathing motion on the dose distribution for clinically motivated lung and breast cases, each prescribed 50 Gy to 50% of the target volume. A volumetric modulated arc therapy (VMAT) and an arc mixed‐beam radiotherapy (Arc‐MBRT) plan are created for the lung and breast case, respectively. For the dose calculation, the dynamic deformation of the patient's anatomy is described by DVFs obtained from deformable image registration of the different phases of 4DCTs. The resulting dose distributions are compared to the ones of the static situation using dose–volume histograms and dose differences.ResultsDefVoxMC is successfully integrated into the SMCP to enable the MC dose calculation of photon‐ and electron‐based treatments on a dynamically deforming patient anatomy. The compression and the Fano test agree within 1.0% and 0.1% with the expected result, respectively. Delta4 and EBT4 film measurements agree with the calculated dose by a GPR >95%. For the clinically motivated cases, breathing motion resulted in areas with a dose increase of up to 26.9 Gy (lung) and up to 7.6 Gy (breast) compared to the static situation. The largest dose differences are observed in high‐dose‐gradient regions perpendicular to the beam plane, consequently decreasing the planning target volume coverage (V95%) by 4.2% for the lung case and 2.0% for the breast case.ConclusionsA novel method for MC dose calculation for photon‐ and electron‐based treatments on dynamically deforming anatomy is successfully developed and validated. Applying DefVoxMC to clinically motivated cases, we found that breathing motion has non‐negligible impact on the dosimetric plan quality.
BackgroundRadiation therapy often requires the accumulation of doses from multiple treatment fractions or courses for plan evaluation and treatment response assessment. However, due to underlying mass changes, the accumulated dose may not accurately reflect the total deposited energy, leading to potential inaccuracies in characterizing the treatment input.PurposeThis study introduces an energy‐conserving dose summation method to calculate the total dose in scenarios where patients experience changes in body mass during treatment.Methods and materialsThe proposed method transfers dose and mass data from dosimetry images, where the delivered doses were calculated, to a reference image using an energy and mass‐conserving dose reconstruction technique. The reconstructed dose assumes the same resolution and dimension as the reference image. The transferred masses are averaged at each image voxel in the reference image to generate an average mass. The transferred doses are then adjusted by multiplying by the ratio of their transferred mass to the average mass, and subsequently summed to calculate a mass‐weighted (MW) total dose at each voxel. This method is demonstrated with a case of lung cancer retreatment.ResultsThe MW total dose was shown to be equivalent to the total deposited energy divided by the average mass. In the lung cancer retreatment case, the energy derived from the MW total dose was consistent with the sum of energy transferred from two treatments across all evaluated organs.ConclusionThe MW dose summation method can produce a total dose that accurately reflects the total energy deposited in each organ. The consistency may provide a robust foundation for verifying dose accumulations in adaptive radiotherapy.
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