Literature DB >> 25186405

Feasibility study of using statistical process control to customized quality assurance in proton therapy.

Jeong-Eun Rah1, Dongho Shin2, Do Hoon Oh1, Tae Hyun Kim2, Gwe-Ya Kim3.   

Abstract

PURPOSE: To evaluate and improve the reliability of proton quality assurance (QA) processes and, to provide an optimal customized tolerance level using the statistical process control (SPC) methodology.
METHODS: The authors investigated the consistency check of dose per monitor unit (D/MU) and range in proton beams to see whether it was within the tolerance level of the daily QA process. This study analyzed the difference between the measured and calculated ranges along the central axis to improve the patient-specific QA process in proton beams by using process capability indices.
RESULTS: The authors established a customized tolerance level of ±2% for D/MU and ±0.5 mm for beam range in the daily proton QA process. In the authors' analysis of the process capability indices, the patient-specific range measurements were capable of a specification limit of ±2% in clinical plans.
CONCLUSIONS: SPC methodology is a useful tool for customizing the optimal QA tolerance levels and improving the quality of proton machine maintenance, treatment delivery, and ultimately patient safety.

Entities:  

Mesh:

Year:  2014        PMID: 25186405     DOI: 10.1118/1.4893916

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  3 in total

1.  Study on the established customized limits for the daily quality assurance procedure.

Authors:  Xiao-Li Jin; Jian-Bo Song; Jin-Xin Peng; Xiao-Peng Pan; Rui Guo; Xiao-Fen Xing
Journal:  J Radiat Res       Date:  2022-01-20       Impact factor: 2.724

2.  Determination of machine-specific tolerances using statistical process control analysis of long-term uniform scanning proton machine QA results.

Authors:  Suresh Rana; Colton Eckert; Hardev Singh; Yuanshui Zheng; Michael Chacko; Mark Storey; John Chang
Journal:  J Appl Clin Med Phys       Date:  2020-08-01       Impact factor: 2.102

3.  Operational consistency of medical linear accelerators manufactured and commissioned in series.

Authors:  Callistus M Nguyen; Alan H Baydush; James D Ververs; Scott Isom; Charles M Able; Michael T Munley
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2018-05-29
  3 in total

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