scholarly journals Correction to: Invited Response on: ‘Comment on: A Novel Method of Outcome Assessment in Breast Reconstruction Surgery: Comparison of Autologous and Alloplastic Techniques Using Three-Dimensional Surface Imaging’

2021 ◽  
Author(s):  
Vanessa Brébant ◽  
Robin Hartmann ◽  
Lukas Prantl
Keyword(s):  
Breast Reconstruction ◽  
Outcome Assessment ◽  
Three Dimensional ◽  
Surface Imaging ◽  
Reconstruction Surgery ◽  
Novel Method ◽  
Dimensional Surface

scholarly journals A Novel Method of Outcome Assessment in Breast Reconstruction Surgery: Comparison of Autologous and Alloplastic Techniques Using Three-Dimensional Surface Imaging

2020 ◽  
Vol 44 (6) ◽  
pp. 1980-1987 ◽  
Author(s):  
Robin Hartmann ◽  
Maximilian Weiherer ◽  
Daniel Schiltz ◽  
Stephan Seitz ◽  
Luisa Lotter ◽  
...  
Keyword(s):  
Breast Reconstruction ◽  
Three Dimensional ◽  
Surgical Techniques ◽  
Full Description ◽  
Surface Imaging ◽  
Level Of Evidence ◽  
Reconstruction Surgery ◽  
Present Trial ◽  
Based Medicine ◽  
Dimensional Surface

Abstract Background Breast reconstruction is an important coping tool for patients undergoing a mastectomy. There are numerous surgical techniques in breast reconstruction surgery (BRS). Regardless of the technique used, creating a symmetric outcome is crucial for patients and plastic surgeons. Three-dimensional surface imaging enables surgeons and patients to assess the outcome’s symmetry in BRS. To discriminate between autologous and alloplastic techniques, we analyzed both techniques using objective optical computerized symmetry analysis. Software was developed that enables clinicians to assess optical breast symmetry using three-dimensional surface imaging. Methods Twenty-seven patients who had undergone autologous (n = 12) or alloplastic (n = 15) BRS received three-dimensional surface imaging. Anthropomorphic data were collected digitally using semiautomatic measurements and automatic measurements. Automatic measurements were taken using the newly developed software. To quantify symmetry, a Symmetry Index is proposed. Results Statistical analysis revealed that there is no difference in the outcome symmetry between the two groups (t test for independent samples; p = 0.48, two-tailed). Conclusion This study’s findings provide a foundation for qualitative symmetry assessment in BRS using automatized digital anthropometry. In the present trial, no difference in the outcomes’ optical symmetry was detected between autologous and alloplastic approaches. Level of evidence Level IV. Level of Evidence IV This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Unilateral Tissue Expander/Implant Two-Stage Breast Reconstruction with the Assistance of Three-Dimensional Surface Imaging

2019 ◽  
Vol 44 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Jian-Xun Ma ◽  
You-Chen Xia ◽  
Bi Li ◽  
Hong-Mei Zhao ◽  
Yu-Tao Lei
Keyword(s):  
Breast Reconstruction ◽  
Three Dimensional ◽  
Tissue Expander ◽  
Surface Imaging ◽  
Two Stage ◽  
Dimensional Surface

scholarly journals The potential role of three-dimensional surface imaging as a tool to evaluate aesthetic outcome after Breast Conserving Therapy (BCT)

2017 ◽  
Vol 164 (2) ◽  
pp. 385-393 ◽  
Author(s):  
Rachel L. O’Connell ◽  
Rosa Di Micco ◽  
Komel Khabra ◽  
Lisa Wolf ◽  
Nandita deSouza ◽  
...  
Keyword(s):  
Potential Role ◽  
Three Dimensional ◽  
Breast Conserving Therapy ◽  
Surface Imaging ◽  
Aesthetic Outcome ◽  
Dimensional Surface

A novel method of age estimation in children using three-dimensional surface area analyses of maxillary canine apices

2020 ◽  
Vol 44 ◽  
pp. 101690
Author(s):  
Muhammad Khan Asif ◽  
Norliza Ibrahim ◽  
Samah M. Al-Amery ◽  
Aso Muhammad Ali Muhammad ◽  
Asfand Ali Khan ◽  
...  
Keyword(s):  
Surface Area ◽  
Age Estimation ◽  
Three Dimensional ◽  
Maxillary Canine ◽  
Novel Method ◽  
Dimensional Surface
Sign in / Sign up

Export Citation Format

Share Document