Estimation of Mastectomy Volume Using Preoperative Mastectomy Simulation Images Acquired by the Vectra H2 System.

Autor:	Kim J; From the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan., Matsumine H; From the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan., Niimi Y; From the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan., Osada A; From the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan., Sakurai H; From the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan.
Jazyk:	angličtina
Zdroj:	Plastic and reconstructive surgery. Global open [Plast Reconstr Surg Glob Open] 2023 Aug 11; Vol. 11 (8), pp. e5180. Date of Electronic Publication: 2023 Aug 11 (Print Publication: 2023).
DOI:	10.1097/GOX.0000000000005180
Abstrakt:	Preoperative prediction of breast volume is very important in planning breast reconstruction. In this study, we assessed the usefulness of a novel method for preoperative estimation of mastectomy volume by comparing the weight of actual mastectomy specimens with the values predicted by the developed method using the Vectra H2. Methods: All patients underwent skin-sparing mastectomy and immediate autologous breast reconstruction. Preoperatively, the patient's breast was scanned using the Vectra H2 and a postmastectomy simulation image was constructed on a personal computer. The estimated mastectomy volume was calculated by comparing the preoperative and postmastectomy three-dimensional simulation images. Correlation coefficients with the estimated mastectomy volume were calculated for the actual mastectomy weight and the transplanted flap weight. Results: Forty-five breasts of 42 patients were prospectively analyzed. The correlations with the estimated mastectomy volume were r = 0.95 ( P < 0.0001) for actual mastectomy weight and r = 0.84 ( P < 0.0001) for transplanted free-flap weight. The mastectomy weight estimation formula obtained by linear regression analysis using the estimated mastectomy volume was 0.98 × estimated mastectomy volume + 5.4 (coefficient of determination R 2 = 0.90, P < 0.0001). The root-mean-square error for the mastectomy weight estimation formula was 38 g. Conclusions: We used the Vectra H2 system to predict mastectomy volume. The predictions provided by this method were highly accurate. Three-dimensional imaging is a noncontact, noninvasive measurement method that is both accurate and simple to perform. Use of this effective tool for volume prediction is expected to increase in the future. Competing Interests: The authors have no financial interest to declare in relation to the content of this article. (Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons.)
Databáze:	MEDLINE
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