Predictors for morbidity from planned versus delivered rectal dose maps in RT of prostate cancer Joakim Trane1, O Casares-Magaz1*, Lise Bentzen2, Kia Busch1, Maria Thor3 and Ludvig P. Muren1 1Dept. of Medical Physics, Aarhus University Hospital, Denmark. 2 Dept. of Oncology, Aarhus University Hospital, Denmark. 3Dept. of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA. B A C K G R O U N D • R E S U LT S Patient-reported gastro-intestinal (GI) symptoms following radiotherapy (RT) for prostate cancer have recently been associated with metrics derived from rectal dose surface maps. • • In a recent study we developed rectum dose map based normal • tissue complication probability (NCTP) models for three common late GI symptoms (at least 20% prevalence in the cohort used for modelling). A I M MATERIALS AND METHODS O F T H E S T U D Y 10 In the present study we used such dose maps and connected NTCP models to compare the planned, daily and summed rectal CHAPTER 2. MATERIALS AND METHODS 11 dose distributions for patients with repeat volumetric imaging acquired during the course ofrectum. RT. • Dose differences exceeding +/- 10 Gy (scaled to the full CHAPTER 3. RESULTS treatment course) were seen in the dose maps for all patients and in all scans. The largest dose increase in the maps during the Patientsystematic 2: course of therapy thewho patient that experienced Patient 2 waswas theseen onlyinone experienced GI mor Grade 2+ GI after (Fig. 2). area ofsymptoms the CBCTs is treatment most notable, having a large diff all also the CBCTs, seeming almost off.spatial Otherwise, This for patient had higher NTCPs for all three dose metricaverage based models for the average map across treatment of the CBCTs shows very well the differen mosttoofthe the CBCTs, which only (e.g. differ in vs the6%width compared planned dose distribution 10% for to the average, thewere top and faecalpattern leakage), while smaller notably differences seenthe for centra the three other patients. Figure 3.2: Patient 2 Figure 2.2: Segments of the 200x200 pixels 2D-maps. Figure 1. (Left Panel) Axial cut of the planning CT for one of the patients with To be able to see possible differences in dose distribution across the of the dose distribution superimposed. (Right Panel) 2D map parametrisation he transverse plane of the pCT of patientfractions 1. Themore colorbar easily, the difference between the pCT and each CBCT dose delivered to the rectum wall. and the averagein of the the CBCTs was calculated and depicted along side ose the in [ Gy ]. The prostate area is seen in the middle, pCT Standard dev. for each voxel Average CBCT Difference to the pCT the daily 2D map representations. The standard deviation for each prostate in a pink voxel, across all CBCTs, was calculated as well. Part of the bladder is seen above the the rectum is seen underneath the prostate as the purple M A T E R I A L S A N D r ed in CERR via MATLAB . 2.3 NTCP METH OD • The patients included in this study Metrics in this study, were will be usedtreated to calculate an according estimated risk based to on a a logistic regression NTCP model. This method was previously established by Casares-Magaz et al [10], withadvanced a larger patient cohort treated national clinical trial for patients with locally prostate e map representation in Aarhus in 2005-2007, with a validated patient reported outcome questionnaire for toxicity recording. cancer, irradiating concomitantly the rom the pCT and CBCTs was digitally unfolded and 2D pelvic lymph nodes and reated seminal by interpolating across 25 equidistant points along vesicles to 55 Gy and the prostate to 78 Gy using or each 45o -sector, for each patient. Each contour was unvolumetric modulated arc therapy. ng the posterior point defined by the sagittal plane, which is • y/mirror plane of the human body, containing the centroid The treatment plans were recalculated on weekly repeat coneour. The 2D maps were then all normalised to 200 by 200 was done in MATLAB (Mathworks , Natick, MA beam (CB)r CTs (6-8 rCBCTs perUSA). patient) following Hounsfield of the final DSMs, which were used for calculating metrics, Unit override to bone and water. n figure 2.2. The two lateral edges represent the posterior vertical central line represent the most anterior part of the Rectal dose maps were created for the planned dose distribution • as well as for the dose distributions re-calculated on weekly CBCTs using a method recently developed by our group. • The weekly CBCTs were averaged to provide a measure for the summed/accumulated dose across the course of RT. • NTCPs were calculated for the planned, weekly and averaged ESTRO 2017 rectal dose maps using three spatially based response models (based on areas and extents from the rectal dose maps) for three patient-reported GI symptoms: faecal leakage, obstruction and defecation urgency. The study included four prostate cancer patients, one with and three free from late Grade 2+ GI symptoms after RT. EP-1610 Figure 2. 2DDay dose# map for (left) the planning CT (upper left), thepCT averaged CBCT and difference to the (right delivered doses across the 8 CBCT evaluated (lower left), pixel-wise dose standard deviation Day (upper1:right) and pixel-wise dose difference in the 2D map between the planning CT and the averaged delivered (lower right). C O N C L U S I O N The rectum dose maps and the connected NTCP models used in this study identified clinically relevant changes in rectum dose distributions caused by organ motion during the course of therapy. This model validation study showed that these maps and models are useful tools to evaluate the risk of normal tissue reactions in Day 6: the rectum. Physics track: (Radio)biological modelling Oscar Casares Magaz DOI: 10.3252/pso.eu.ESTRO36.2017 Figure 3.2: The DSMs for patient 2. Describtion of th Poster caption to at:figure 3.1. presented
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