Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Joshua, Miller, Brett, Siddiqui, M. Salim, Movsas, Benjamin, Glide-Hurst, Carri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
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
_version_ 1783390286882275328
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
work_keys_str_mv AT kimjoshua fmeaofmronlytreatmentplanninginthepelvis
AT millerbrett fmeaofmronlytreatmentplanninginthepelvis
AT siddiquimsalim fmeaofmronlytreatmentplanninginthepelvis
AT movsasbenjamin fmeaofmronlytreatmentplanninginthepelvis
AT glidehurstcarri fmeaofmronlytreatmentplanninginthepelvis