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FMEA of MR-Only Treatment Planning in the Pelvis
PURPOSE: To evaluate the implementation of a magnetic resonance (MR)-only workflow (ie, implementing MR simulation as the primary planning modality) using failure mode and effects analysis (FMEA) in comparison with a conventional multimodality (MR simulation in conjunction with computed tomography s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349599/ https://www.ncbi.nlm.nih.gov/pubmed/30706025 http://dx.doi.org/10.1016/j.adro.2018.08.024 |
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author | Kim, Joshua Miller, Brett Siddiqui, M. Salim Movsas, Benjamin Glide-Hurst, Carri |
author_facet | Kim, Joshua Miller, Brett Siddiqui, M. Salim Movsas, Benjamin Glide-Hurst, Carri |
author_sort | Kim, Joshua |
collection | PubMed |
description | PURPOSE: To evaluate the implementation of a magnetic resonance (MR)-only workflow (ie, implementing MR simulation as the primary planning modality) using failure mode and effects analysis (FMEA) in comparison with a conventional multimodality (MR simulation in conjunction with computed tomography simulation) workflow for pelvis external beam planning. METHODS AND MATERIALS: To perform the FMEA, a multidisciplinary 9-member team was assembled and developed process maps, identified potential failure modes (FMs), and assigned numerical values to the severity (S), frequency of occurrence (O), and detectability (D) of those FMs. Risk priority numbers (RPNs) were calculated via the product of S, O, and D as a metric for evaluating relative patient risk. An alternative 3-digit composite number (SOD) was computed to emphasize high-severity FMs. Fault tree analysis identified the causality chain leading to the highest-severity FM. RESULTS: Seven processes were identified, 3 of which were shared between workflows. Image fusion and target delineation subprocesses using the conventional workflow added 9 and 10 FMs, respectively, with 6 RPNs >100. By contrast, synthetic computed tomography generation introduced 3 major subprocesses and propagated 46 unique FMs, 15 with RPNs >100. For the conventional workflow, the largest RPN scores were introduced by image fusion (RPN range, 120-192). For the MR-only workflow, the highest RPN scores were from inaccuracies in target delineation resulting from misinterpretation of MR images (RPN = 240) and insufficient management of patient- and system-level distortions (RPN = 210 and 168, respectively). Underestimation (RPN = 140) or overestimation (RPN = 192) of bone volume produced higher RPN scores. The highest SODs for both workflows were related to changes in target location because of internal anatomy changes (conventional = 961, MR-only = 822). CONCLUSIONS: FMEA identified areas for mitigating risk in MR-only pelvis RTP, and SODs identified high-severity process modes. Efforts to develop a quality management program to mitigate high FMs are underway. |
format | Online Article Text |
id | pubmed-6349599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-63495992019-01-31 FMEA of MR-Only Treatment Planning in the Pelvis Kim, Joshua Miller, Brett Siddiqui, M. Salim Movsas, Benjamin Glide-Hurst, Carri Adv Radiat Oncol Physics Contribution PURPOSE: To evaluate the implementation of a magnetic resonance (MR)-only workflow (ie, implementing MR simulation as the primary planning modality) using failure mode and effects analysis (FMEA) in comparison with a conventional multimodality (MR simulation in conjunction with computed tomography simulation) workflow for pelvis external beam planning. METHODS AND MATERIALS: To perform the FMEA, a multidisciplinary 9-member team was assembled and developed process maps, identified potential failure modes (FMs), and assigned numerical values to the severity (S), frequency of occurrence (O), and detectability (D) of those FMs. Risk priority numbers (RPNs) were calculated via the product of S, O, and D as a metric for evaluating relative patient risk. An alternative 3-digit composite number (SOD) was computed to emphasize high-severity FMs. Fault tree analysis identified the causality chain leading to the highest-severity FM. RESULTS: Seven processes were identified, 3 of which were shared between workflows. Image fusion and target delineation subprocesses using the conventional workflow added 9 and 10 FMs, respectively, with 6 RPNs >100. By contrast, synthetic computed tomography generation introduced 3 major subprocesses and propagated 46 unique FMs, 15 with RPNs >100. For the conventional workflow, the largest RPN scores were introduced by image fusion (RPN range, 120-192). For the MR-only workflow, the highest RPN scores were from inaccuracies in target delineation resulting from misinterpretation of MR images (RPN = 240) and insufficient management of patient- and system-level distortions (RPN = 210 and 168, respectively). Underestimation (RPN = 140) or overestimation (RPN = 192) of bone volume produced higher RPN scores. The highest SODs for both workflows were related to changes in target location because of internal anatomy changes (conventional = 961, MR-only = 822). CONCLUSIONS: FMEA identified areas for mitigating risk in MR-only pelvis RTP, and SODs identified high-severity process modes. Efforts to develop a quality management program to mitigate high FMs are underway. Elsevier 2018-09-07 /pmc/articles/PMC6349599/ /pubmed/30706025 http://dx.doi.org/10.1016/j.adro.2018.08.024 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Physics Contribution Kim, Joshua Miller, Brett Siddiqui, M. Salim Movsas, Benjamin Glide-Hurst, Carri FMEA of MR-Only Treatment Planning in the Pelvis |
title | FMEA of MR-Only Treatment Planning in the Pelvis |
title_full | FMEA of MR-Only Treatment Planning in the Pelvis |
title_fullStr | FMEA of MR-Only Treatment Planning in the Pelvis |
title_full_unstemmed | FMEA of MR-Only Treatment Planning in the Pelvis |
title_short | FMEA of MR-Only Treatment Planning in the Pelvis |
title_sort | fmea of mr-only treatment planning in the pelvis |
topic | Physics Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349599/ https://www.ncbi.nlm.nih.gov/pubmed/30706025 http://dx.doi.org/10.1016/j.adro.2018.08.024 |
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