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A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis

This study aims to carry out a risk assessment to identify and rectify potential clinical risks of a 3D-printed patient-specific scaffold for large-volume alveolar bone regeneration. A survey was used to assess clinicians’ perceptions regarding the use of scaffolds in the treatment of alveolar defec...

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Autores principales: Qi Lim, Ping, Huey Lim, Sue, Sherilyn, Maria, Fernandez-Medina, Tulio, Ivanovski, Sašo, Hosseinpour, Sepanta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369557/
https://www.ncbi.nlm.nih.gov/pubmed/35955377
http://dx.doi.org/10.3390/ma15155442
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author Qi Lim, Ping
Huey Lim, Sue
Sherilyn, Maria
Fernandez-Medina, Tulio
Ivanovski, Sašo
Hosseinpour, Sepanta
author_facet Qi Lim, Ping
Huey Lim, Sue
Sherilyn, Maria
Fernandez-Medina, Tulio
Ivanovski, Sašo
Hosseinpour, Sepanta
author_sort Qi Lim, Ping
collection PubMed
description This study aims to carry out a risk assessment to identify and rectify potential clinical risks of a 3D-printed patient-specific scaffold for large-volume alveolar bone regeneration. A survey was used to assess clinicians’ perceptions regarding the use of scaffolds in the treatment of alveolar defects and conduct a clinical risk assessment of the developed scaffold using the Failure Modes and Effects Analysis (FMEA) framework. The response rate was 69.4% with a total of 41 responses received. Two particular failure modes were identified as a high priority through the clinical risk assessment conducted. The highest mean Risk Priority Number was obtained by “failure of healing due to patient risk factors” (45.7 ± 27.7), followed by “insufficient soft tissue area” (37.8 ± 24.1). Despite the rapid developments, finding a scaffold that is both biodegradable and tailored to the patient’s specific defect in cases of large-volume bone regeneration is still challenging for clinicians. Our results indicate a positive perception of clinicians towards this novel scaffold. The FMEA clinical risk assessment has revealed two failure modes that should be prioritized for risk mitigation (safe clinical translation). These findings are important for the safe transition to in-human trials and subsequent clinical use.
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spelling pubmed-93695572022-08-12 A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis Qi Lim, Ping Huey Lim, Sue Sherilyn, Maria Fernandez-Medina, Tulio Ivanovski, Sašo Hosseinpour, Sepanta Materials (Basel) Article This study aims to carry out a risk assessment to identify and rectify potential clinical risks of a 3D-printed patient-specific scaffold for large-volume alveolar bone regeneration. A survey was used to assess clinicians’ perceptions regarding the use of scaffolds in the treatment of alveolar defects and conduct a clinical risk assessment of the developed scaffold using the Failure Modes and Effects Analysis (FMEA) framework. The response rate was 69.4% with a total of 41 responses received. Two particular failure modes were identified as a high priority through the clinical risk assessment conducted. The highest mean Risk Priority Number was obtained by “failure of healing due to patient risk factors” (45.7 ± 27.7), followed by “insufficient soft tissue area” (37.8 ± 24.1). Despite the rapid developments, finding a scaffold that is both biodegradable and tailored to the patient’s specific defect in cases of large-volume bone regeneration is still challenging for clinicians. Our results indicate a positive perception of clinicians towards this novel scaffold. The FMEA clinical risk assessment has revealed two failure modes that should be prioritized for risk mitigation (safe clinical translation). These findings are important for the safe transition to in-human trials and subsequent clinical use. MDPI 2022-08-08 /pmc/articles/PMC9369557/ /pubmed/35955377 http://dx.doi.org/10.3390/ma15155442 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qi Lim, Ping
Huey Lim, Sue
Sherilyn, Maria
Fernandez-Medina, Tulio
Ivanovski, Sašo
Hosseinpour, Sepanta
A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis
title A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis
title_full A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis
title_fullStr A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis
title_full_unstemmed A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis
title_short A Clinical Risk Assessment of a 3D-Printed Patient-Specific Scaffold by Failure Modes and Effects Analysis
title_sort clinical risk assessment of a 3d-printed patient-specific scaffold by failure modes and effects analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369557/
https://www.ncbi.nlm.nih.gov/pubmed/35955377
http://dx.doi.org/10.3390/ma15155442
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