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. 2013 Jan;33(1):84-92.
doi: 10.1177/1090820X12469807. Epub 2012 Dec 7.

Clinical accuracy and reproducibility of Portrait 3D Surgical Simulation Platform in breast augmentation

Affiliations

Clinical accuracy and reproducibility of Portrait 3D Surgical Simulation Platform in breast augmentation

Brian Mailey et al. Aesthet Surg J. 2013 Jan.

Abstract

Background: Three-dimensional (3D) digital photography uses integrated image capture technology and rendering software to create 3D models. Volumetric measurements project simulated post-operative images prior to breast augmentation.

Objectives: To evaluate the accuracy and reproducibility of breast volume measurements using the Portrait 3D Surgical Simulation Platform (Axis Three, Boston, Massachusetts).

Methods: Twenty-two patients underwent breast augmentation. 3D volumetric imaging analysis was performed by two independent observers preoperatively and at 6 weeks postoperatively. Simulated volumes were compared to actual implant volume using the Student's t test. Intra-observer reliability was evaluated by measuring internal consistency (Cronbach and 95% confidence interval [CI]) and test-retest reliability (intraclass correlation coefficient [ICC]) from the two observers' calculated volumes.

Results: Half (n = 11) of the patients received silicone implants and half saline; all were placed in the submuscular plane through an inframammary incision. No difference in volume estimation in preoperative or postoperative images (P = .49 and P = .14; and P = 1.0 and P = .37, in right and left breasts, respectively) was observed. The test-retest reliability between observers was excellent (ICC, 0.98; P < .001) and Cronbach's value (0.99; 95% CI 0.97-0.99; P < .001) demonstrated an excellent correlation. Regarding accuracy, difference in volume estimation between actual and simulated volumes varied between 0 to 106 mL (0 - 30%), with an absolute mean difference of 12.2% (42.5 mL).

Conclusions: The Portrait 3D breast imaging system provides a highly reproducible 3D tool for measuring breast volume and simulating breast augmentation. Accuracy of the 3D models can vary up to 30% (mean 12.2%). This variability should be accounted for when using this technology to visually communicate with patients.

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