Background: The iPhone contains a high-fidelity 3-dimensional (3D) scanner and is widely distributed in the United States. Presently, 3D analysis of the breast necessitates ownership of cost-prohibitive cameras and software packages such as the Vectra (Canfield Scientific Inc., Parsippany, NJ) system.
Objectives: We compared the accuracy of 3D photographs of the breast obtained with the iPhone X 3D scanner (Apple Inc., Cupertino, CA) with the Canfield Vectra H2 in an effort to expand access to 3D technology in plastic surgery.
Methods: Twenty breasts (n = 20) were 3D photographed with the iPhone X and the Vectra H2 and compared by colormap analysis and by measuring distances across the models between key anatomical landmarks. These distances included sternal notch to nipple (SN-N), midchest to nipple (M-N), nipple to midinframammary fold (N-IMF), and inframammary fold width (IMF). Statistical tests included the Bland-Altman plot analysis.
Results: When comparing absolute differences in distances between key anatomical landmarks, the average discrepancy in measurements between the iPhone and Vectra image pairs were the following: SN-N: 0.94 mm, M-N: 0.81 mm, N-IMF 0.91 mm, and IMF 0.98 mm. Colormap analysis demonstrated an average error of 1.53 mm, mean of 0.53 mm, and standard deviation of ±1.81 mm. Bland-Altman plot revealed a mean difference of 0.13 mm and an agreement interval between -1.90 and 2.17 mm.
Conclusions: The iPhone is capable of capturing 3D photographs with a high level of fidelity when compared with the Vectra. Three-dimensional scans obtained with the iPhone may be helpful for planning nipple position, measuring the breast footprint, choosing implants, and performing other functions with 3D technology that are typically performed with the more expensive systems.
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http://dx.doi.org/10.1093/asj/sjae170 | DOI Listing |
Oral Maxillofac Surg
January 2025
Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Purpose: This study aimed to clarify the applicability of smartphone-based three-dimensional (3D) surface imaging for clinical use in oral and maxillofacial surgery, comparing two smartphone-based approaches to the gold standard.
Methods: Facial surface models (SMs) were generated for 30 volunteers (15 men, 15 women) using the Vectra M5 (Canfield Scientific, USA), the TrueDepth camera of the iPhone 14 Pro (Apple Inc., USA), and the iPhone 14 Pro with photogrammetry.
Background: The iPhone contains a high-fidelity 3-dimensional (3D) scanner and is widely distributed in the United States. Presently, 3D analysis of the breast necessitates ownership of cost-prohibitive cameras and software packages such as the Vectra (Canfield Scientific Inc., Parsippany, NJ) system.
View Article and Find Full Text PDFPLoS One
June 2024
Center of Expertise on Gender Dysphoria, Amsterdam UMC, VU University, Amsterdam, the Netherlands.
Three-dimensional (3D) imaging techniques are promising new tools for measuring breast volume, for example in gender-affirming therapy. Transgender individuals can be treated with gender-affirming hormone therapy (GAHT). A robust method for monitoring breast volume changes is critical to be able to study the effects of feminizing GAHT.
View Article and Find Full Text PDFJPRAS Open
March 2024
University Hospital Regensburg Clinic and Polyclinic for Oral and Maxillofacial Surgery, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Background: The utilization of three-dimensional (3D) surface imaging for facial anthropometry is a significant asset for patients undergoing maxillofacial surgery. Notably, there have been recent advancements in smartphone technology that enable 3D surface imaging.In this study, anthropometric assessments of the face were performed using a smartphone and a sophisticated 3D surface imaging system.
View Article and Find Full Text PDFAnn Transl Med
July 2021
Department of Plastic and Aesthetic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Background: Three-dimensional (3D) photography plays an important role in surgical planning and postoperative evaluation. Commercial 3D facial scanners are expensive, and they require patients to come to the clinics for 3D photography. To solve this problem, we developed an iPad/iPhone application to enable patients to capture 3D images of themselves on their own.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!