Summary
Background. Accurate breast volume estimation is critical in planning and assessing outcomes of autologous breast reconstruction. Traditional techniques such as plaster casting, water displacement, and formula-based anthropometry have limitations in patient comfort, reproducibility, and accuracy. Computed tomography (CT) and magnetic resonance imaging (MRI) are accurate but resource-intensive, while 3D surface scanning offers a non-invasive and reproducible alternative.
Methods. This prospective study included 38 patients undergoing autologous breast reconstruction. Pre-operative breast and hemi-abdominal volumes were measured using CT.3D surface scanner was used to measure the pre-operative healthy breast and post-operative reconstructed breast volumes. Agreement between modalities was assessed using paired t-tests, Pearson’s correlation, and intraclass correlation coefficient (ICC). Post-operative satisfaction was analyzed using the BREAST-Q questionnaire at 3-6 months.
Results. The mean pre-operative breast volume was 721.1 ± 151.5cc on CT and 701.5 ± 121.5cc on 3D scanning, while the mean post-operative reconstructed breast volume was 762.0 ± 137.1cc. The mean hemiabdominal volume was 787.3 ± 134.0cc on CT. Strong correlations were observed between pre-operative CT and post-operative 3D breast volumes (r = 0.981, p < 0.0001), and between hemiabdominal CT volume and reconstructed breast volume (r = 0.917,p < 0.0001). No significant differences were found between CT and 3D scan measurements( p > 0.28). The ICC between CT and 3D volumes was 0.91(95% CI: 0.86-0.95), indicating excellent agreement. BREAST-Q analysis showed a negative correlation between breast volume asymmetry and satisfaction (r = –0.58, p = 0.0014).
Conclusions. 3D surface scanning exhibits excellent concordance with CT and serves as a reliable tool for predicting post-operative breast volume. It represents a valid, non-invasive tool for pre-operative planning and post-operative evaluation in breast reconstruction.
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Copyright (c) 2022 Plastic Reconstructive and Regenerative Surgery
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