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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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Authors

Smruti Srinivasan - Department of Plastic & Reconstructive surgery, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India https://orcid.org/0009-0006-0512-0898

Akshay Kapoor - Department of Plastic & Reconstructive surgery, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India. Corresponding author - akshay.psurg@aiimsrishikesh.edu.in https://orcid.org/0000-0003-4223-9039

Neeraj Rao - Department of Plastic & Reconstructive surgery, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India https://orcid.org/0000-0002-1374-8443

Debarati Chattopadhyay - Department of Plastic & Reconstructive surgery, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India https://orcid.org/0000-0002-0167-7561

Farhanul Huda - Department of General Surgery, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India https://orcid.org/0000-0002-1309-1832

Anjum Syed - Department of Radiodiagnosis, All India Institute of Medical Sciences (AIIMS) Rishikesh, Uttarakhand, India https://orcid.org/0000-0001-9064-2047

How to Cite
[1]
Smruti Srinivasan, Akshay Kapoor, Neeraj Rao, Debarati Chattopadhyay, Farhanul Huda and Anjum Syed 2025. Outcome analysis of virtual planning of DIEP flaps for breast reconstruction: virtual planning of DIEP Flaps. Plastic Reconstructive and Regenerative Surgery. (Dec. 2025), 1–9. DOI:https://doi.org/10.57604/PRRS-1716.
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