Revistas
Revista:
PHYSICS IN MEDICINE AND BIOLOGY
ISSN 0031-9155
Vol. 66
N° 3
Año 2021
Págs.035025
The purpose of this study was to devise and evaluate a method to quantify the dosimetric uncertainty produced by the interplay between the movement of multileaf collimator (MLC) and respiratory motion in lung stereotactic body radiation therapy (SBRT). The method calculates the dose distribution for all control points from a dynamic treatment in all respiratory phases. The methodology includes some characteristics of a patient's irregular breathing patterns. It selects, for each control point, the phases with maximum and minimum mean dose over the tumor and their corresponding adjacent phases, whenever necessary. According to this selection, the dose matrices from each control point are summed up to obtain two dose distributions in each phase, which are accumulated in the reference phase subsequently by Deformable Image Registration (DIR). D95 and Dmin,0.035cc were calculated over those accumulated dose distributions for Gross Tumor Volume (GTV), Planning Target Volume (PTV) - based on Internal Target Volume (ITV) approach - and Evaluation Target Volume (ETV), a novel concept that applies to 4D dose accumulation. With the ETV, DIR and interplay uncertainties are separated. The methodology also evaluated how variations in the breathing rate and field size affects the mean dose received by the GTV. The method was applied retrospectively in five patients treated with intensity modulated radiotherapy (IMRT) - minimum area defined by the leaves configuration at any control point was at least 4cm2-. Uncertainties in tumor coverage were small (in most patients, changes on D95 and Dmin,0.035cc were below 2% for GTV and ETV) but significant over- and under- dosages near ETV, which can be accentuated by highly irregular breathing. Uncertainties in mean dose for GTV tended to decrease exponentially with increasing field size and were reduced by an increase of breathing rate. The implementation of this method would be helpful to assess treatment quality in patients with irregular breathing. Furthermore, it could be used to study interplay uncertainties when small field sizes are used.
Revista:
RADIOTHERAPY AND ONCOLOGY
ISSN 0167-8140
Vol. 161
N° S1
Año 2021
Págs.S1258 - S1259
Respiratory motion and interfractional anatomical variations are sources of geometric uncertainty in lung stereotactic body radiation therapy (SBRT). The purpose of this study was to evaluate the separate and combined effects of respiratory motion and interfractional anatomical variations during the course of SBRT treatment.
Revista:
MEDICAL PHYSICS
ISSN 0094-2405
Vol. 46
N° 10
Año 2019
Págs.4346 - 4355
Purpose To use four-dimensional (4D) dose accumulation based on deformable image registration (DIR) to assess dosimetric uncertainty in lung stereotactic body radiation therapy (SBRT) treatment planning. A novel concept, the Evaluation Target Volume (ETV), was introduced to achieve this goal. Methods The internal target volume (ITV) approach was used for treatment planning for 11 patients receiving lung SBRT. Retrospectively, 4D dose calculation was done in Pinnacle v9.10. Total dose was accumulated in the reference phase using DIR with MIM. DIR was validated using landmarks introduced by an expert radiation oncologist. The 4D and three-dimensional (3D) dose distributions were compared within the gross tumor volume (GTV) and the planning target volume (PTV) using the D-95 and D-min (calculated as D-min,D-0.035cc) metrics. For lung involvement, the mean dose and V-20, V-10, and V-5 were used in the 3D to 4D dose comparison, and D-max (D-0.1cc) was used for all other organs at risk (OAR). The new evaluation target volume (ETV) was calculated by expanding the GTV in the reference phase in order to include geometrical uncertainties of the DIR, interobserver variability in the definition of the tumor, and uncertainties of imaging and delivery systems. D-95 and D-min,D-0.035cc metrics were then calculated on the basis of the ETV for 4D accumulated dose distributions, and these metrics were compared with those calculated from the PTV for 3D planned dose distributions.