SU-D-BRC-02: Application of Six Sigma Approach to Improve the Efficiency of Patient-Specific QA in Proton Therapy

2016 ◽  
Vol 43 (6Part3) ◽  
pp. 3336-3336 ◽  
Author(s):  
J LAH ◽  
D Shin ◽  
R Manger ◽  
G Kim
Keyword(s):  
Proton Therapy ◽  
Six Sigma ◽  
Patient Specific ◽  
Patient Specific Qa ◽  
Six Sigma Approach

Film dosimetry with multichannel approach for proton therapy patient-specific QA

2016 ◽  
Vol 32 ◽  
pp. 36
Author(s):  
S. Lorentini ◽  
L. Marrazzo ◽  
S. Pallotta ◽  
M. Schwarz
Keyword(s):  
Proton Therapy ◽  
Patient Specific ◽  
Film Dosimetry ◽  
Patient Specific Qa

scholarly journals Initial Experience of Patient-Specific QA for Wobbling and Line-Scanning Proton Therapy at Samsung Medical Center

2019 ◽  
Vol 30 (1) ◽  
pp. 14 ◽  
Author(s):  
Kwanghyun Jo ◽  
Sung Hwan Ahn ◽  
Kwangzoo Chung ◽  
Sungkoo Cho ◽  
Eun Hyuk Shin ◽  
...  
Keyword(s):  
Proton Therapy ◽  
Medical Center ◽  
Patient Specific ◽  
Initial Experience ◽  
Patient Specific Qa ◽  
Line Scanning

scholarly journals A systematic study of independently-tuned room-specific PBS beam model in a beam-matched multiroom proton therapy system

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yu-Hua Huang ◽  
Chunfeng Fang ◽  
Tao Yang ◽  
Lin Cao ◽  
Gaolong Zhang ◽  
...  
Keyword(s):  
Proton Therapy ◽  
Patient Specific ◽  
Model Parameters ◽  
Beam Model ◽  
Model Based ◽  
Modeling Process ◽  
Passing Rate ◽  
Patient Specific Qa ◽  
Model Sharing ◽  
High Level

Abstract Background In the existing application of beam-matched multiroom proton therapy system, the model based on the commissioning data from the leading treatment room was used as the shared model. The purpose of this study is to investigate the ability of independently-tuned room-specific beam models of beam-matched gantries to reproduce the agreement between gantries’ performance when considering the errors introduced by the modeling process. Methods Raw measurements of two gantries’ dosimetric characteristics were quantitatively compared to ensure their agreement after initially beam-matched. Two gantries’ beam model parameters, as well as the model-based computed dosimetric characteristics, were analyzed to study the introduced errors and gantries’ post-modeling consistency. We forced two gantries to share the same beam model. The model-sharing patient-specific quality assurance (QA) tasks were retrospectively performed with 36 cancer patients to study the clinical impact of beam model discrepancies. Results Intra-gantry comparisons demonstrate that the modeling process introduced the errors to a certain extent indeed, which made the model-based reproduced results deviate from the raw measurements. Among them, the deviation introduced to the IDD curves was generally larger than that to the beam spots during modeling. Cross-gantry comparisons show that, from the beam model perspective, the introduced deviations deteriorated the high agreement of the dosimetric characteristics originally shown between two beam-matched gantries, but the cross-gantry discrepancy was still within the clinically acceptable tolerance. In model-sharing patient-specific QA, for the particular gantry, the beam model usage for intensity-modulated proton therapy (IMPT) QA plan generation had no significant effect on the actual delivering performance. All reached a high level of 95.0% passing rate with a 3 mm/3% criterion. Conclusions It was preliminary recognized that among beam-matched gantries, the independently-tuned room-specific beam model from any gantry is reasonable to be chosen as the shared beam model without affecting the treatment efficacy.

SU-E-CAMPUS-T-06: Initial Experience of Patient-Specific QA Using a Pencil Beam Scanning Proton Therapy System

2014 ◽  
Vol 41 (6Part22) ◽  
pp. 384-384
Author(s):  
F Piskulich ◽  
Y Zhang ◽  
L Perles ◽  
A Mascia ◽  
R Lepage ◽  
...  
Keyword(s):  
Proton Therapy ◽  
Patient Specific ◽  
Pencil Beam ◽  
Initial Experience ◽  
Beam Scanning ◽  
Pencil Beam Scanning ◽  
Patient Specific Qa

scholarly journals Six Sigma Approach for Material Handling System for a Tobacco Threshing Plant

2021 ◽  
Vol 1112 (1) ◽  
pp. 012007
Author(s):  
MD.Khaja Moinuddin Farokhi ◽  
P V Chalapathi ◽  
K.V.L. Somasekhar ◽  
M. Vinitha ◽  
P Naga Srinivas
Keyword(s):  
Six Sigma ◽  
Material Handling ◽  
Material Handling System ◽  
Handling System ◽  
Six Sigma Approach
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