SU-E-T-403: Intensity Modulated Proton Therapy Plans with Multiple Fields for Prostate Cancer

2013 ◽  
Vol 40 (6Part17) ◽  
pp. 297-297
Author(s):  
S Dhanesar ◽  
N Sahoo ◽  
M Kerr ◽  
M Taylor ◽  
P Summers ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Proton Therapy ◽  
Intensity Modulated Proton Therapy ◽  
Intensity Modulated

Assessment of daily dose accumulation for robustly optimized intensity modulated proton therapy treatment of prostate cancer

2021 ◽  
Vol 81 ◽  
pp. 77-85
Author(s):  
Yihang Xu ◽  
Tejan Diwanji ◽  
Nellie Brovold ◽  
Michael Butkus ◽  
Kyle R. Padgett ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Proton Therapy ◽  
Dose Accumulation ◽  
Intensity Modulated Proton Therapy ◽  
Intensity Modulated ◽  
Daily Dose ◽  
Therapy Treatment

scholarly journals Assessment of Knowledge-Based Planning for Prostate Intensity Modulated Proton Therapy

2021 ◽  
Author(s):  
Yihang Xu ◽  
Nellie Brovold ◽  
Jonathan Cyriac ◽  
Elizabeth Bossart ◽  
Kyle Padgett ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
At Risk ◽  
Proton Therapy ◽  
Volumetric Modulated Arc Therapy ◽  
Model Quality ◽  
Intensity Modulated Proton Therapy ◽  
Intensity Modulated ◽  
Knowledge Based ◽  
Knowledge Based Planning ◽  
Organ At Risk

Abstract Purpose To assess the performance of a proton-specific knowledge based planning (KBPP) model in creation of robustly optimized intensity-modulated proton therapy (IMPT) plans for treatment of patients with prostate cancer. Materials and Methods Forty-five patients with localized prostate cancer, who had previously been treated with volumetric modulated arc therapy, were selected and replanned with robustly optimized IMPT. A KBPP model was generated from the results of 30 of the patients, and the remaining 15 patient results were used for validation. The KBPP model quality and accuracy were evaluated with the model-provided organ-at-risk regression plots and metrics. The KBPP quality was also assessed through comparison of expert and KBPP-generated IMPT plans for target coverage and organ-at-risk sparing. Results The resulting R2 (mean ± SD, 0.87 ± 0.07) between dosimetric and geometric features, as well as the χ2 test (1.17 ± 0.07) between the original and estimated data, showed the model had good quality. All the KBPP plans were clinically acceptable. Compared with the expert plans, the KBPP plans had marginally higher dose-volume indices for the rectum V65Gy (0.8% ± 2.94%), but delivered a lower dose to the bladder (−1.06% ± 2.9% for bladder V65Gy). In addition, KBPP plans achieved lower hotspot (−0.67Gy ± 2.17Gy) and lower integral dose (−0.09Gy ± 0.3Gy) than the expert plans did. Moreover, the KBPP generated better plans that demonstrated slightly greater clinical target volume V95 (0.1% ± 0.68%) and lower homogeneity index (−1.13 ± 2.34). Conclusions The results demonstrated that robustly optimized IMPT plans created by the KBPP model are of high quality and are comparable to expert plans. Furthermore, the KBPP model can generate more-robust and more-homogenous plans compared with those of expert plans. More studies need to be done for the validation of the proton KBPP model at more-complicated treatment sites.

Helical tomotherapy and intensity modulated proton therapy in the treatment of early stage prostate cancer: A treatment planning comparison

2011 ◽  
Vol 98 (1) ◽  
pp. 74-80 ◽  
Author(s):  
Marco Schwarz ◽  
Alessio Pierelli ◽  
Claudio Fiorino ◽  
Francesco Fellin ◽  
Giovanni Mauro Cattaneo ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Treatment Planning ◽  
Proton Therapy ◽  
Helical Tomotherapy ◽  
Early Stage ◽  
Intensity Modulated Proton Therapy ◽  
Intensity Modulated
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