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3D Breast Scanning in Plastic Surgery Utilizing Free iPhone LiDAR Application: Evaluation, Potential, and Limitations
Aesthetic Surgery Journal
|January 3, 2025
Summary
iPhone-based LiDAR scanning offers a cost-effective solution for breast surgery planning, demonstrating high accuracy for key measurements but limitations with complex curves. Further technological advancements are expected to improve its clinical utility.
Area of Science:
- Plastic Surgery
- Medical Imaging
- Biotechnology
Background:
- Three-dimensional (3D) imaging is valuable for surgical planning but often cost-prohibitive.
- Mobile Light Detection and Ranging (LiDAR) presents a potentially affordable alternative for 3D data acquisition.
Purpose of the Study:
- To assess the accuracy and clinical utility of iPhone LiDAR for breast measurements.
- To compare LiDAR-based measurements with traditional methods.
- To develop standardized protocols for integrating LiDAR into clinical practice.
Main Methods:
- A prospective validation study involved 25 patients undergoing breast procedures.
- iPhone 15 Pro LiDAR scanner and a "3D Scanner App" were used.
- Standardized breast measurements (sternal notch-to-nipple, nipple-to-midline, nipple-to-inframammary fold) were compared between LiDAR and manual techniques.
- Technical Error of Measurement (TEM), relative TEM (rTEM), interrater reliability, and cost-effectiveness were analyzed.
Main Results:
- LiDAR demonstrated high accuracy for sternal notch-to-nipple (rTEM 1.43%) and nipple-to-midline (rTEM 2.83%) measurements.
- Accuracy was poor for nipple-to-inframammary fold measurements (rTEM 13.05%).
- Excellent interrater reliability (ICC = 0.92) and measurement stability after 5 cases were observed.
- A 97.8% reduction in initial investment was noted compared to commercial 3D systems.
Conclusions:
- Mobile LiDAR is a cost-effective tool for breast surgery planning and documentation.
- While accurate for linear measurements, LiDAR has limitations for complex breast curves.
- Ongoing technological evolution is expected to enhance LiDAR's accuracy and clinical applications.

