Affiliation:
1. Juntendo University Graduate School of Medicine Bunkyo‐ku Tokyo Japan
2. Department of Radiology Juntendo University Urayasu Hospital Urayasu‐shi Chiba Japan
3. Department of Radiation Oncology Faculty of Medicine Juntendo University Bunkyo‐ku Tokyo Japan
4. Department of Radiation Oncology Graduate School of Medicine Juntendo University Bunkyo‐ku Tokyo Japan
Abstract
AbstractPurposeTo elucidate the dosimetric errors caused by a model‐based algorithm in lung stereotactic body radiation therapy (SBRT) with Helical TomoTherapy (HT) using Monte Carlo (MC)‐based dose verification software.MethodsFor 38 plans of lung SBRT, the dose calculation accuracy of a treatment planning system (TPS) of HT was compared with the results of DoseCHECK, the commercial MC‐based independent verification software. The following indices were extracted to evaluate the correlation of dosimetric errors: (1) target volume, (2) average computed tomography (CT) value of the planning target volume (PTV) margin, and (3) average CT value of surrounding 2‐mm area of the PTV (PTV ring). Receiver operating characteristic (ROC) analyses determined the threshold for 5% of differences in PTV D95%. Then, the 38 plans were classified into two groups using the cutoff values of ROC analysis for these three indices. Dosimetric differences between groups were statistically compared using the Mann–Whitney U test.ResultsTPS of HT overestimated by more than 5% in the PTV D95% in 16 of 38 plans. The PTV ring showed the strongest correlation with dosimetric differences. The cutoff value for the target volume, the PTV margin, and the PTV ring was 14.7 cc, −754 HU, and −708 HU, respectively. The area under the curve (AUC) for the target volume, the PTV margin, and the PTV ring were 0.835, 0.878, and 0.932, respectively. Dosimetric errors more than 5% were observed when the PTV volume was less than 15 cc or when the CT value around the target was less than −700 HU.ConclusionThe TPS of HT might overestimate the PTV dose by more than 5% if any the three indices in this study were below threshold. Therefore, independent verification with an MC‐based algorithm should be strongly recommended for lung SBRT in HT.