title: Determination of optimal PTV margin for patients receiving CBCT-guided prostate IMRT: comparative analysis based on CBCT dose calculation with four different margins.
abstract: Variations in daily setup and rectum/bladder filling lead to uncertainties in the delivery of prostate IMRT. The purpose of this study is to determine the optimal PTV margin for CBCT-guided prostate IMRT based on daily CBCT dose calculations using four different margins. Five patients diagnosed with low-risk prostate cancer were treated with prostate IMRT to 70 Gy in 28 fractions using daily CBCT for image guidance. The prostate CTV and OARs were contoured on all CBCTs. IMRT plans were created using 1 mm, 3 mm, 5 mm, and 7 mm CTV to PTV expansions. For each delivered fraction, dose calculations were generated utilizing the pretreatment CBCT translational shifts performed and dosimetric analysis was performed. One hundred and forty total treatment fractions (CBCT sessions) were evaluated. The planned prostate CTV V100% was 100% for all PTV margins. Based on CBCT analysis, the actual cumulative CTVs V100% were 96.55% ± 2.94%, 99.49% ± 1.36%, 99.98% ± 0.26%, and 99.99% ± 0.05% for 1, 3, 5, and 7 mm uniform PTV margins, respectively. Delivered rectum and bladder doses were different as compared to expected planned doses, with the magnitude of differences increasing with PTV margin. Daily setup variation during prostate IMRT yields differences in the actual vs. expected doses received by the prostate CTV, rectum, and bladder. The magnitude of these differences is significantly affected by the PTV margin utilized. It was found that when daily CBCT was used for soft-tissue alignment of the prostate, a 3 mm PTV margin allowed for CTV to be covered for 99% of cases.
authors.affiliation: University of Toledo. 123@123.com.
authors.forename: Sukhdeep K
authors.initials: SK
authors.lastname: Gill
authors.forename: Krishna
authors.initials: K
authors.lastname: Reddy
authors.forename: Nina
authors.initials: N
authors.lastname: Campbell
authors.forename: Changhu
authors.initials: C
authors.lastname: Chen
authors.forename: David
authors.initials: D
authors.lastname: Pearson
mesh_terms: D003198:Computer Simulation; D054893:Cone-Beam Computed Tomography; D006801:Humans; D008297:Male; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D061089:Radiotherapy, Image-Guided / Q000379:methods; D050397:Radiotherapy, Intensity-Modulated / Q000379:methods*; D012007:Rectum / Q000528:radiation effects; D012189:Retrospective Studies; D035501:Uncertainty; D001743:Urinary Bladder / Q000528:radiation effects