Automated Breast Volume Assessment Derived From Digital Breast Tomosynthesis Images Compared to Mastectomy Specimen Weight and Its Applications in Cosmetic Optimisation

基于数字乳腺断层合成图像的自动乳腺体积评估与乳房切除标本重量的比较及其在美容优化中的应用

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Abstract

BACKGROUND: Estimating the size and volume of the breast preoperatively is an important step in surgical planning for many breast procedures such as immediate implant-based breast reconstructions and reduction mammoplasties. Breast volume estimation helps in appropriate implant selection preoperatively. OBJECTIVES: The aim of this study was to objectively evaluate the estimation of breast weight by automatic volumetric breast assessment in digital breast tomosynthesis (DBT) using Quantra™ 2.2 Breast Density Assessment Software (Hologic Inc., Marlborough, Massachusetts, United States). METHODS: Breast specimen weight after mastectomy and volume estimated by Quantra software were recorded. RESULTS: Volume assessment obtained from Quantra software showed a high correlation with actual mastectomy specimen weight, with Pearson's correlation coefficients of 0.952. CONCLUSIONS: The automated DBT-derived breast volume using the Quantra software is a simple and practical method to assess breast size and weight preoperatively.

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