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Objective Three-Dimensional Analysis of Cranial Morphology
Objective: The lack of adequate means to objectively characterize cranial shape contributes to ongoing controversies in the surgical management of craniosynostosis. Cranial shape analysis must address relevant clinical questions objectively and thoroughly and must be broadly applicable across the sp...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Open Science Company, LLC
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323201/ https://www.ncbi.nlm.nih.gov/pubmed/18464892 |
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author | Marcus, Jeffrey R Domeshek, Leahthan F Das, Rajesh Marshall, Sean Nightingale, Roger Stokes, Tracey H Mukundan, Srinivasan |
author_facet | Marcus, Jeffrey R Domeshek, Leahthan F Das, Rajesh Marshall, Sean Nightingale, Roger Stokes, Tracey H Mukundan, Srinivasan |
author_sort | Marcus, Jeffrey R |
collection | PubMed |
description | Objective: The lack of adequate means to objectively characterize cranial shape contributes to ongoing controversies in the surgical management of craniosynostosis. Cranial shape analysis must address relevant clinical questions objectively and thoroughly and must be broadly applicable across the spectrum of normal and abnormal. Herein, we demonstrate and statistically validate an automated computed tomography (CT)-based application for 3-dimensional characterization of skull morphology. The technology is intended for application to diagnostic imaging, surgical planning, and outcomes assessment. Methods: Three-dimensional vector analysis (3DVA) was applied to craniofacial CT data, generating three-dimensional cranial surface point clouds. Validation: To assess accuracy, measurements derived from the 3DVA analysis of a CT scan of a skull phantom were compared to those made directly from the Digital Imaging and Communications in Medicine data on a Vitrea workstation. To assess reproducibility, 3 readers independently analyzed human head CT scans using 3DVA. Application: A normative database of 86 age-incremental pediatric patients was created. Preoperative craniosynostosis case datasets were analyzed using 3DVA and were compared with age-matched normative datasets. Results: Accuracy and reproducibility of less than 1% mean error and less than 0.5 mm standard error in all cases validated 3DVA-derived distances. Three-dimensional vector analysis point clouds provide qualitative and quantitative representations of morphology. Regional dysmorphology in craniosynostosis cases is demonstrated graphically. Conclusions: Three-dimensional vector analysis generated accurate, reproducible, and comprehensive craniofacial morphometric data. 3DVA may be used for paired data analysis (eg, a single subject undergoing surgical correction), comparative group data analysis, and craniofacial data archiving. The technique can provide objective characterization of craniofacial morphology previously not possible. |
format | Text |
id | pubmed-2323201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Open Science Company, LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-23232012008-05-09 Objective Three-Dimensional Analysis of Cranial Morphology Marcus, Jeffrey R Domeshek, Leahthan F Das, Rajesh Marshall, Sean Nightingale, Roger Stokes, Tracey H Mukundan, Srinivasan Eplasty Article Objective: The lack of adequate means to objectively characterize cranial shape contributes to ongoing controversies in the surgical management of craniosynostosis. Cranial shape analysis must address relevant clinical questions objectively and thoroughly and must be broadly applicable across the spectrum of normal and abnormal. Herein, we demonstrate and statistically validate an automated computed tomography (CT)-based application for 3-dimensional characterization of skull morphology. The technology is intended for application to diagnostic imaging, surgical planning, and outcomes assessment. Methods: Three-dimensional vector analysis (3DVA) was applied to craniofacial CT data, generating three-dimensional cranial surface point clouds. Validation: To assess accuracy, measurements derived from the 3DVA analysis of a CT scan of a skull phantom were compared to those made directly from the Digital Imaging and Communications in Medicine data on a Vitrea workstation. To assess reproducibility, 3 readers independently analyzed human head CT scans using 3DVA. Application: A normative database of 86 age-incremental pediatric patients was created. Preoperative craniosynostosis case datasets were analyzed using 3DVA and were compared with age-matched normative datasets. Results: Accuracy and reproducibility of less than 1% mean error and less than 0.5 mm standard error in all cases validated 3DVA-derived distances. Three-dimensional vector analysis point clouds provide qualitative and quantitative representations of morphology. Regional dysmorphology in craniosynostosis cases is demonstrated graphically. Conclusions: Three-dimensional vector analysis generated accurate, reproducible, and comprehensive craniofacial morphometric data. 3DVA may be used for paired data analysis (eg, a single subject undergoing surgical correction), comparative group data analysis, and craniofacial data archiving. The technique can provide objective characterization of craniofacial morphology previously not possible. Open Science Company, LLC 2008-04-09 /pmc/articles/PMC2323201/ /pubmed/18464892 Text en Copyright © 2008 The Author(s) http://creativecommons.org/licenses/by/2.0/ This is an open-access article whereby the authors retain copyright of the work. The article is distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Marcus, Jeffrey R Domeshek, Leahthan F Das, Rajesh Marshall, Sean Nightingale, Roger Stokes, Tracey H Mukundan, Srinivasan Objective Three-Dimensional Analysis of Cranial Morphology |
title | Objective Three-Dimensional Analysis of Cranial Morphology |
title_full | Objective Three-Dimensional Analysis of Cranial Morphology |
title_fullStr | Objective Three-Dimensional Analysis of Cranial Morphology |
title_full_unstemmed | Objective Three-Dimensional Analysis of Cranial Morphology |
title_short | Objective Three-Dimensional Analysis of Cranial Morphology |
title_sort | objective three-dimensional analysis of cranial morphology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323201/ https://www.ncbi.nlm.nih.gov/pubmed/18464892 |
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