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Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing

A hybrid quality control (QC) program was developed that integrates automated and conventional Linac QC, realizing the benefits of both automated and conventional QC, increasing efficiency and maintaining independent measurement methods. Failure mode and effects analysis (FMEA) was then applied in o...

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Autores principales: Pearson, Michael, Butterworth, Victoria, Misson‐Yates, Sarah, Naeem, Marium, Gonzalez Vaz, Regina, Eaton, David, Greener, Tony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797170/
https://www.ncbi.nlm.nih.gov/pubmed/36453139
http://dx.doi.org/10.1002/acm2.13798
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author Pearson, Michael
Butterworth, Victoria
Misson‐Yates, Sarah
Naeem, Marium
Gonzalez Vaz, Regina
Eaton, David
Greener, Tony
author_facet Pearson, Michael
Butterworth, Victoria
Misson‐Yates, Sarah
Naeem, Marium
Gonzalez Vaz, Regina
Eaton, David
Greener, Tony
author_sort Pearson, Michael
collection PubMed
description A hybrid quality control (QC) program was developed that integrates automated and conventional Linac QC, realizing the benefits of both automated and conventional QC, increasing efficiency and maintaining independent measurement methods. Failure mode and effects analysis (FMEA) was then applied in order to validate the program prior to clinical implementation. The hybrid QC program consists of automated QC with machine performance check and DailyQA3 array on the TrueBeam Linac, and Delta4 volumetric modulated arc therapy (VMAT) standard plan measurements, alongside conventional monthly QC at a reduced frequency. The FMEA followed the method outlined in TG‐100. Process maps were created for each treatment type at our center: VMAT, stereotactic body radiotherapy (SBRT), conformal, and palliative. Possible failure modes were established by evaluating each stage in the process map. The FMEA followed semiquantitative methods, using data from our QC records from eight Linacs over 3 years for the occurrence estimates, and simulation of failure modes in the treatment planning system, with scoring surveys for severity and detectability. The risk priority number (RPN) was calculated from the product of the occurrence, severity, and detectability scores and then normalized to the maximum and ranked to determine the most critical failure modes. The highest normalized RPN values (100, 90) were found to be for MLC position dynamic for both VMAT and SBRT treatments. The next highest score was 35 for beam position for SBRT, and the majority of scores were less than 20. Overall, these RPN scores for the hybrid Linac QC program indicated that it would be acceptable, but the high RPN score associated with the dynamic MLC failure mode indicates that it would be valuable to perform more rigorous testing of the MLC. The FMEA proved to be a useful tool in validating hybrid QC.
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spelling pubmed-97971702022-12-30 Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing Pearson, Michael Butterworth, Victoria Misson‐Yates, Sarah Naeem, Marium Gonzalez Vaz, Regina Eaton, David Greener, Tony J Appl Clin Med Phys Radiation Oncology Physics A hybrid quality control (QC) program was developed that integrates automated and conventional Linac QC, realizing the benefits of both automated and conventional QC, increasing efficiency and maintaining independent measurement methods. Failure mode and effects analysis (FMEA) was then applied in order to validate the program prior to clinical implementation. The hybrid QC program consists of automated QC with machine performance check and DailyQA3 array on the TrueBeam Linac, and Delta4 volumetric modulated arc therapy (VMAT) standard plan measurements, alongside conventional monthly QC at a reduced frequency. The FMEA followed the method outlined in TG‐100. Process maps were created for each treatment type at our center: VMAT, stereotactic body radiotherapy (SBRT), conformal, and palliative. Possible failure modes were established by evaluating each stage in the process map. The FMEA followed semiquantitative methods, using data from our QC records from eight Linacs over 3 years for the occurrence estimates, and simulation of failure modes in the treatment planning system, with scoring surveys for severity and detectability. The risk priority number (RPN) was calculated from the product of the occurrence, severity, and detectability scores and then normalized to the maximum and ranked to determine the most critical failure modes. The highest normalized RPN values (100, 90) were found to be for MLC position dynamic for both VMAT and SBRT treatments. The next highest score was 35 for beam position for SBRT, and the majority of scores were less than 20. Overall, these RPN scores for the hybrid Linac QC program indicated that it would be acceptable, but the high RPN score associated with the dynamic MLC failure mode indicates that it would be valuable to perform more rigorous testing of the MLC. The FMEA proved to be a useful tool in validating hybrid QC. John Wiley and Sons Inc. 2022-12-01 /pmc/articles/PMC9797170/ /pubmed/36453139 http://dx.doi.org/10.1002/acm2.13798 Text en © 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Pearson, Michael
Butterworth, Victoria
Misson‐Yates, Sarah
Naeem, Marium
Gonzalez Vaz, Regina
Eaton, David
Greener, Tony
Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing
title Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing
title_full Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing
title_fullStr Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing
title_full_unstemmed Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing
title_short Application of failure mode and effects analysis to validate a novel hybrid Linac QC program that integrates automated and conventional QC testing
title_sort application of failure mode and effects analysis to validate a novel hybrid linac qc program that integrates automated and conventional qc testing
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797170/
https://www.ncbi.nlm.nih.gov/pubmed/36453139
http://dx.doi.org/10.1002/acm2.13798
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