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New software and breast boundary landmarks to calculate breast volumes from 3D surface images

BACKGROUND: A method to accurately calculate breast volumes helps achieving a better breast surgery outcome. 3D surface imaging potentially allows these calculations in a harmless, quick, and practicable way. The calculated volume from a 3D surface image is dependent on the determined breast boundar...

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Autores principales: Wesselius, T. S., Vreeken, R. D., Verhulst, A. C., Xi, T., Maal, T. J. J., Ulrich, D. J. O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244993/
https://www.ncbi.nlm.nih.gov/pubmed/30524176
http://dx.doi.org/10.1007/s00238-018-1431-2
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author Wesselius, T. S.
Vreeken, R. D.
Verhulst, A. C.
Xi, T.
Maal, T. J. J.
Ulrich, D. J. O.
author_facet Wesselius, T. S.
Vreeken, R. D.
Verhulst, A. C.
Xi, T.
Maal, T. J. J.
Ulrich, D. J. O.
author_sort Wesselius, T. S.
collection PubMed
description BACKGROUND: A method to accurately calculate breast volumes helps achieving a better breast surgery outcome. 3D surface imaging potentially allows these calculations in a harmless, quick, and practicable way. The calculated volume from a 3D surface image is dependent on the determined breast boundary and the method of chest wall simulation by software. Currently, there is no consensus on a robust set of breast boundary landmarks and validation studies on breast volume calculation software are scarce. The purposes of this study were to determine the robustness of newly introduced breast boundary landmarks and introduce and validate a new method to simulate a chest wall. METHODS: Sixteen subjects who underwent a unilateral simple mastectomy were included. In addition to the natural skin fold of the breast, the sternomanubrial joint, the transition of the pectoral muscle curve into the breast curvature, and the midaxillary line were used as landmarks to indicate the breast boundary. The intra- and interrater variability of these landmarks was tested. Furthermore, new chest wall simulation software was validated on the breastless chest side of the subjects. RESULTS: The intra- and interrater variability of the three breast boundary markers was small (mean 3.5–6.7 mm), and no significant difference was found between the intra- and interrater variability (p = 0.08, p = 0.06, and p = 0.10). The mean volume error of the most accurately simulated chest wall was 4.6 ± 37 ml. CONCLUSION: The newly introduced landmarks showed to be robust and our new chest wall simulation algorithm showed accurate results. Level of Evidence: Level IV, diagnostic study.
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spelling pubmed-62449932018-12-04 New software and breast boundary landmarks to calculate breast volumes from 3D surface images Wesselius, T. S. Vreeken, R. D. Verhulst, A. C. Xi, T. Maal, T. J. J. Ulrich, D. J. O. Eur J Plast Surg Original Paper BACKGROUND: A method to accurately calculate breast volumes helps achieving a better breast surgery outcome. 3D surface imaging potentially allows these calculations in a harmless, quick, and practicable way. The calculated volume from a 3D surface image is dependent on the determined breast boundary and the method of chest wall simulation by software. Currently, there is no consensus on a robust set of breast boundary landmarks and validation studies on breast volume calculation software are scarce. The purposes of this study were to determine the robustness of newly introduced breast boundary landmarks and introduce and validate a new method to simulate a chest wall. METHODS: Sixteen subjects who underwent a unilateral simple mastectomy were included. In addition to the natural skin fold of the breast, the sternomanubrial joint, the transition of the pectoral muscle curve into the breast curvature, and the midaxillary line were used as landmarks to indicate the breast boundary. The intra- and interrater variability of these landmarks was tested. Furthermore, new chest wall simulation software was validated on the breastless chest side of the subjects. RESULTS: The intra- and interrater variability of the three breast boundary markers was small (mean 3.5–6.7 mm), and no significant difference was found between the intra- and interrater variability (p = 0.08, p = 0.06, and p = 0.10). The mean volume error of the most accurately simulated chest wall was 4.6 ± 37 ml. CONCLUSION: The newly introduced landmarks showed to be robust and our new chest wall simulation algorithm showed accurate results. Level of Evidence: Level IV, diagnostic study. Springer Berlin Heidelberg 2018-07-06 2018 /pmc/articles/PMC6244993/ /pubmed/30524176 http://dx.doi.org/10.1007/s00238-018-1431-2 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Wesselius, T. S.
Vreeken, R. D.
Verhulst, A. C.
Xi, T.
Maal, T. J. J.
Ulrich, D. J. O.
New software and breast boundary landmarks to calculate breast volumes from 3D surface images
title New software and breast boundary landmarks to calculate breast volumes from 3D surface images
title_full New software and breast boundary landmarks to calculate breast volumes from 3D surface images
title_fullStr New software and breast boundary landmarks to calculate breast volumes from 3D surface images
title_full_unstemmed New software and breast boundary landmarks to calculate breast volumes from 3D surface images
title_short New software and breast boundary landmarks to calculate breast volumes from 3D surface images
title_sort new software and breast boundary landmarks to calculate breast volumes from 3d surface images
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244993/
https://www.ncbi.nlm.nih.gov/pubmed/30524176
http://dx.doi.org/10.1007/s00238-018-1431-2
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