Expanding Access to 3D Technology in Plastic Surgery of the Breast: Validation of the iPhone Against the Vectra H2.
Journal
Aesthetic surgery journal
ISSN: 1527-330X
Titre abrégé: Aesthet Surg J
Pays: England
ID NLM: 9707469
Informations de publication
Date de publication:
19 Aug 2024
19 Aug 2024
Historique:
received:
13
02
2024
revised:
07
06
2024
accepted:
15
08
2024
medline:
19
8
2024
pubmed:
19
8
2024
entrez:
19
8
2024
Statut:
aheadofprint
Résumé
The iPhone (Apple Inc, Cupertino, California) contains a high-fidelity 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 system. We compared the accuracy of 3D photos of the breast obtained with the iPhone X 3D scanner against the Canfield Vectra H2 (Canfield Scientific Inc. Parsippany, NJ) in an effort to expand access to 3D technology in plastic surgery. Twenty breasts (n=20) were 3D-photographed with iPhone X and the Vectra H2 and compared with color map analysis and by measuring distances across the model between key anatomical landmarks. These distances included sternal notch to nipple (SN-N), mid-chest to nipple (M-N), nipple to mid-inframammary fold (N-IMF), and inframammary fold width (IMF). Statistical tests included the Bland-Altman Plot analysis. When comparing absolute differences in distances between key anatomical landmarks, the average discrepancy in measurements between iPhone and Vectra image pairs were the following: SN-N: 0.94mm, M-N: 0.70mm, N-IMF 0.81mm, and IMF 0.96mm. Colormap analysis demonstrated an average error of 1.53mm, mean of 0.53mm, and standard deviation of ±1.81mm. Bland-Altman Plot revealed a mean difference of 0.13mm and an agreement interval between -1.90 and 2.17mm. The iPhone is capable of capturing 3D-photographs with a high level of fidelity when compared to Vectra. 3D-scans obtained with the iPhone may be useful for planning nipple position, measuring the breast footprint, choosing implants, and performing other functions using 3D technology that are typically performed using the more expensive systems.
Sections du résumé
BACKGROUND
BACKGROUND
The iPhone (Apple Inc, Cupertino, California) contains a high-fidelity 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 system.
OBJECTIVES
OBJECTIVE
We compared the accuracy of 3D photos of the breast obtained with the iPhone X 3D scanner against the Canfield Vectra H2 (Canfield Scientific Inc. Parsippany, NJ) in an effort to expand access to 3D technology in plastic surgery.
METHODS
METHODS
Twenty breasts (n=20) were 3D-photographed with iPhone X and the Vectra H2 and compared with color map analysis and by measuring distances across the model between key anatomical landmarks. These distances included sternal notch to nipple (SN-N), mid-chest to nipple (M-N), nipple to mid-inframammary fold (N-IMF), and inframammary fold width (IMF). Statistical tests included the Bland-Altman Plot analysis.
RESULTS
RESULTS
When comparing absolute differences in distances between key anatomical landmarks, the average discrepancy in measurements between iPhone and Vectra image pairs were the following: SN-N: 0.94mm, M-N: 0.70mm, N-IMF 0.81mm, and IMF 0.96mm. Colormap analysis demonstrated an average error of 1.53mm, mean of 0.53mm, and standard deviation of ±1.81mm. Bland-Altman Plot revealed a mean difference of 0.13mm and an agreement interval between -1.90 and 2.17mm.
CONCLUSIONS
CONCLUSIONS
The iPhone is capable of capturing 3D-photographs with a high level of fidelity when compared to Vectra. 3D-scans obtained with the iPhone may be useful for planning nipple position, measuring the breast footprint, choosing implants, and performing other functions using 3D technology that are typically performed using the more expensive systems.
Identifiants
pubmed: 39158162
pii: 7735763
doi: 10.1093/asj/sjae170
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
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