New aspects in digital breast assessment: further refinement of a method for automated digital anthropometry

  • Purpose: In this trial, we used a previously developed prototype software to assess aesthetic results after reconstructive surgery for congenital breast asymmetry using automated anthropometry. To prove the consensus between the manual and automatic digital measurements, we evaluated the software by comparing the manual and automatic measurements of 46 breasts. Methods: Twenty-three patients who underwent reconstructive surgery for congenital breast asymmetry at our institution were examined and underwent 3D surface imaging. Per patient, 14 manual and 14 computer-based anthropometric measurements were obtained according to a standardized protocol. Manual and automatic measurements, as well as the previously proposed Symmetry Index (SI), were compared. Results: The Wilcoxon signed-rank test revealed no significant differences in six of the seven measurements between the automatic and manual assessments. The SI showed robust agreement between the automatic and manual methods. Conclusion: The present trial validates our method for digital anthropometry. Despite the discrepancy in one measurement, all remaining measurements, including the SI, showed high agreement between the manual and automatic methods. The proposed data bring us one step closer to the long-term goal of establishing robust instruments to evaluate the results of breast surgery.

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Author:Robin HartmannORCiD, Maximilian Weiherer, Daniel SchiltzORCiD, Magnus Baringer, Vivien NoisserORCiD, Vanessa Hösl, Andreas EigenbergerORCiD, Stefan Seitz, Christoph PalmORCiDGND, Lukas PrantlORCiD, Vanessa BrébantORCiD
Parent Title (English):Archives of Gynecology and Obstetrics
Publisher:Springer Nature
Place of publication:Heidelberg
Document Type:Article
Year of first Publication:2021
Release Date:2020/11/13
Tag:3D surface imaging; digital anthropometry; reconstructive surgery
First Page:721
Last Page:728
Institutes:Fakultät Informatik und Mathematik
Regensburg Center of Biomedical Engineering - RCBE
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
research focus:Lebenswissenschaften und Ethik
OpenAccess Publikationsweg:Hybrid Open Access - OA-Veröffentlichung in einer Subskriptionszeitschrift/-medium
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International