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Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects

The combination of computer‐aided design (CAD) techniques based on computed tomography (CT) data to generate patient‐specific implants is in use for decades. However, persisting disadvantages are complicated design procedures and rigid reconstruction protocols, for example, for tailored implants mim...

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Autores principales: Wittner, Claudia, Borowski, Markus, Pirl, Lukas, Kastner, Johann, Schrempf, Andreas, Schäfer, Ute, Trieb, Klemens, Senck, Sascha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450480/
https://www.ncbi.nlm.nih.gov/pubmed/34086982
http://dx.doi.org/10.1111/joa.13465
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author Wittner, Claudia
Borowski, Markus
Pirl, Lukas
Kastner, Johann
Schrempf, Andreas
Schäfer, Ute
Trieb, Klemens
Senck, Sascha
author_facet Wittner, Claudia
Borowski, Markus
Pirl, Lukas
Kastner, Johann
Schrempf, Andreas
Schäfer, Ute
Trieb, Klemens
Senck, Sascha
author_sort Wittner, Claudia
collection PubMed
description The combination of computer‐aided design (CAD) techniques based on computed tomography (CT) data to generate patient‐specific implants is in use for decades. However, persisting disadvantages are complicated design procedures and rigid reconstruction protocols, for example, for tailored implants mimicking the patient‐specific thickness distribution of missing cranial bone. In this study we used two different approaches, CAD‐ versus thin‐plate spline (TPS)‐based implants, to reconstruct extensive unilateral and bilateral cranial defects in three clinical cases. We used CT data of three complete human crania that were virtually damaged according to the missing regions in the clinical cases. In total, we carried out 132 virtual reconstructions and quantified accuracy from the original to the generated implant and deviations in the resulting implant thickness as root‐mean‐square error (RMSE). Reconstructions using TPS showed an RMSE of 0.08–0.18 mm in relation to geometric accuracy. CAD‐based implants showed an RMSE of 0.50–1.25 mm. RMSE in relation to implant thickness was between 0.63 and 0.70 mm (TPS) while values for CAD‐based implants were significantly higher (0.63–1.67 mm). While both approaches provide implants showing a high accuracy, the TPS‐based approach additionally provides implants that accurately reproduce the patient‐specific thickness distribution of the affected cranial region.
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spelling pubmed-84504802021-09-27 Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects Wittner, Claudia Borowski, Markus Pirl, Lukas Kastner, Johann Schrempf, Andreas Schäfer, Ute Trieb, Klemens Senck, Sascha J Anat Original Papers The combination of computer‐aided design (CAD) techniques based on computed tomography (CT) data to generate patient‐specific implants is in use for decades. However, persisting disadvantages are complicated design procedures and rigid reconstruction protocols, for example, for tailored implants mimicking the patient‐specific thickness distribution of missing cranial bone. In this study we used two different approaches, CAD‐ versus thin‐plate spline (TPS)‐based implants, to reconstruct extensive unilateral and bilateral cranial defects in three clinical cases. We used CT data of three complete human crania that were virtually damaged according to the missing regions in the clinical cases. In total, we carried out 132 virtual reconstructions and quantified accuracy from the original to the generated implant and deviations in the resulting implant thickness as root‐mean‐square error (RMSE). Reconstructions using TPS showed an RMSE of 0.08–0.18 mm in relation to geometric accuracy. CAD‐based implants showed an RMSE of 0.50–1.25 mm. RMSE in relation to implant thickness was between 0.63 and 0.70 mm (TPS) while values for CAD‐based implants were significantly higher (0.63–1.67 mm). While both approaches provide implants showing a high accuracy, the TPS‐based approach additionally provides implants that accurately reproduce the patient‐specific thickness distribution of the affected cranial region. John Wiley and Sons Inc. 2021-06-04 2021-10 /pmc/articles/PMC8450480/ /pubmed/34086982 http://dx.doi.org/10.1111/joa.13465 Text en © 2021 The Authors. Journal of Anatomy published by John Wiley & Sons Ltd on behalf of Anatomical Society https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Papers
Wittner, Claudia
Borowski, Markus
Pirl, Lukas
Kastner, Johann
Schrempf, Andreas
Schäfer, Ute
Trieb, Klemens
Senck, Sascha
Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects
title Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects
title_full Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects
title_fullStr Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects
title_full_unstemmed Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects
title_short Thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects
title_sort thickness accuracy of virtually designed patient‐specific implants for large neurocranial defects
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450480/
https://www.ncbi.nlm.nih.gov/pubmed/34086982
http://dx.doi.org/10.1111/joa.13465
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