Cargando…

Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible

Automatic craniomaxillofacial (CMF) three dimensional (3D) dense phenotyping promises quantification of the complete CMF shape compared to the limiting use of sparse landmarks in classical phenotyping. This study assesses the accuracy and reliability of this new approach on the human mandible. Class...

Descripción completa

Detalles Bibliográficos
Autores principales: Verhelst, Pieter-Jan, Matthews, H., Verstraete, L., Van der Cruyssen, F., Mulier, D., Croonenborghs, T. M., Da Costa, O., Smeets, M., Fieuws, S., Shaheen, E., Jacobs, R., Claes, P., Politis, C., Peeters, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058070/
https://www.ncbi.nlm.nih.gov/pubmed/33879838
http://dx.doi.org/10.1038/s41598-021-88095-w
_version_ 1783680956933079040
author Verhelst, Pieter-Jan
Matthews, H.
Verstraete, L.
Van der Cruyssen, F.
Mulier, D.
Croonenborghs, T. M.
Da Costa, O.
Smeets, M.
Fieuws, S.
Shaheen, E.
Jacobs, R.
Claes, P.
Politis, C.
Peeters, H.
author_facet Verhelst, Pieter-Jan
Matthews, H.
Verstraete, L.
Van der Cruyssen, F.
Mulier, D.
Croonenborghs, T. M.
Da Costa, O.
Smeets, M.
Fieuws, S.
Shaheen, E.
Jacobs, R.
Claes, P.
Politis, C.
Peeters, H.
author_sort Verhelst, Pieter-Jan
collection PubMed
description Automatic craniomaxillofacial (CMF) three dimensional (3D) dense phenotyping promises quantification of the complete CMF shape compared to the limiting use of sparse landmarks in classical phenotyping. This study assesses the accuracy and reliability of this new approach on the human mandible. Classic and automatic phenotyping techniques were applied on 30 unaltered and 20 operated human mandibles. Seven observers indicated 26 anatomical landmarks on each mandible three times. All mandibles were subjected to three rounds of automatic phenotyping using Meshmonk. The toolbox performed non-rigid surface registration of a template mandibular mesh consisting of 17,415 quasi landmarks on each target mandible and the quasi landmarks corresponding to the 26 anatomical locations of interest were identified. Repeated-measures reliability was assessed using root mean square (RMS) distances of repeated landmark indications to their centroid. Automatic phenotyping showed very low RMS distances confirming excellent repeated-measures reliability. The average Euclidean distance between manual and corresponding automatic landmarks was 1.40 mm for the unaltered and 1.76 mm for the operated sample. Centroid sizes from the automatic and manual shape configurations were highly similar with intraclass correlation coefficients (ICC) of > 0.99. Reproducibility coefficients for centroid size were < 2 mm, accounting for < 1% of the total variability of the centroid size of the mandibles in this sample. ICC’s for the multivariate set of 325 interlandmark distances were all > 0.90 indicating again high similarity between shapes quantified by classic or automatic phenotyping. Combined, these findings established high accuracy and repeated-measures reliability of the automatic approach. 3D dense CMF phenotyping of the human mandible using the Meshmonk toolbox introduces a novel improvement in quantifying CMF shape.
format Online
Article
Text
id pubmed-8058070
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-80580702021-04-22 Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible Verhelst, Pieter-Jan Matthews, H. Verstraete, L. Van der Cruyssen, F. Mulier, D. Croonenborghs, T. M. Da Costa, O. Smeets, M. Fieuws, S. Shaheen, E. Jacobs, R. Claes, P. Politis, C. Peeters, H. Sci Rep Article Automatic craniomaxillofacial (CMF) three dimensional (3D) dense phenotyping promises quantification of the complete CMF shape compared to the limiting use of sparse landmarks in classical phenotyping. This study assesses the accuracy and reliability of this new approach on the human mandible. Classic and automatic phenotyping techniques were applied on 30 unaltered and 20 operated human mandibles. Seven observers indicated 26 anatomical landmarks on each mandible three times. All mandibles were subjected to three rounds of automatic phenotyping using Meshmonk. The toolbox performed non-rigid surface registration of a template mandibular mesh consisting of 17,415 quasi landmarks on each target mandible and the quasi landmarks corresponding to the 26 anatomical locations of interest were identified. Repeated-measures reliability was assessed using root mean square (RMS) distances of repeated landmark indications to their centroid. Automatic phenotyping showed very low RMS distances confirming excellent repeated-measures reliability. The average Euclidean distance between manual and corresponding automatic landmarks was 1.40 mm for the unaltered and 1.76 mm for the operated sample. Centroid sizes from the automatic and manual shape configurations were highly similar with intraclass correlation coefficients (ICC) of > 0.99. Reproducibility coefficients for centroid size were < 2 mm, accounting for < 1% of the total variability of the centroid size of the mandibles in this sample. ICC’s for the multivariate set of 325 interlandmark distances were all > 0.90 indicating again high similarity between shapes quantified by classic or automatic phenotyping. Combined, these findings established high accuracy and repeated-measures reliability of the automatic approach. 3D dense CMF phenotyping of the human mandible using the Meshmonk toolbox introduces a novel improvement in quantifying CMF shape. Nature Publishing Group UK 2021-04-20 /pmc/articles/PMC8058070/ /pubmed/33879838 http://dx.doi.org/10.1038/s41598-021-88095-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Verhelst, Pieter-Jan
Matthews, H.
Verstraete, L.
Van der Cruyssen, F.
Mulier, D.
Croonenborghs, T. M.
Da Costa, O.
Smeets, M.
Fieuws, S.
Shaheen, E.
Jacobs, R.
Claes, P.
Politis, C.
Peeters, H.
Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible
title Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible
title_full Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible
title_fullStr Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible
title_full_unstemmed Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible
title_short Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible
title_sort automatic 3d dense phenotyping provides reliable and accurate shape quantification of the human mandible
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058070/
https://www.ncbi.nlm.nih.gov/pubmed/33879838
http://dx.doi.org/10.1038/s41598-021-88095-w
work_keys_str_mv AT verhelstpieterjan automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT matthewsh automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT verstraetel automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT vandercruyssenf automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT mulierd automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT croonenborghstm automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT dacostao automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT smeetsm automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT fieuwss automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT shaheene automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT jacobsr automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT claesp automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT politisc automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible
AT peetersh automatic3ddensephenotypingprovidesreliableandaccurateshapequantificationofthehumanmandible