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. 2021 Jun;100(6):313-319.
doi: 10.4174/astr.2021.100.6.313. Epub 2021 Jun 1.

Mammography with a fully automated breast volumetric software as a novel method for estimating the preoperative breast volume prior to mastectomy

Affiliations

Mammography with a fully automated breast volumetric software as a novel method for estimating the preoperative breast volume prior to mastectomy

Jin Sung Kim et al. Ann Surg Treat Res. 2021 Jun.

Abstract

Purpose: Increasing interest in maintaining a positive body image following breast cancer surgery has become an important aspect of reconstruction surgery. Volume matching of the reconstructed breast to natural breasts is the most important consideration. This study aimed to explore the feasibility of using mammography with a fully automated breast volumetric software to measure the preoperative breast volume in patients with breast cancer.

Methods: We evaluated patients who underwent a total mastectomy between July 2016 and February 2021. The specimen volume following total mastectomy was compared with breast volume estimates using a fully automated volumetric software (Quantra ver. 2.1.1) and 4 other previously described mammography-based prediction methods. The association between the estimates and mastectomy specimen volume was assessed using Pearson correlation and Bland-Altman analysis.

Results: Sixty-six patients were included. Compared with previously described mammography-based methods, Quantra estimates were more strongly correlated with mastectomy specimen volume in the entire, fatty, and dense breast groups (r = 0.920, 0.921, and 0.915, respectively; P < 0.001). In applying Quantra estimates for measuring preoperative breast volume, we adjusted a simple equation: mastectomy specimen volume = Quantra estimate × 0.8.

Conclusion: Mammography with a fully automated breast volumetric software can be useful for measuring preoperative breast volume in patients with breast cancer who undergo reconstruction surgery.

Keywords: Breast density; Breast neoplasms; Mammography; Mastectomy; Organ size; Software.

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Conflict of interest statement

Conflict of Interest: No potential conflict of interest relevant to this article was reported.

Figures

Fig. 1
Fig. 1. Quantra processing.
Fig. 2
Fig. 2. Sample mammography measurements in a 51-year-old woman with invasive ductal carcinoma. (A) Craniocaudal view shows representations of measurements. W = medial to lateral width, R = W/2, H = posterior to anterior height, perpendicular from the posterior film edge to the most anterior portion of the breast. (B) Mediolateral oblique view shows representations of measurements. w = superolateral to inferomedial width, measured as a distance from the most acute portion of axillary concavity to the inframammary fold; r = w/2; h = posterior to anterior height, perpendicular to the pectoralis muscle from the anterior border of the muscle to the most anterior portion of the breast.
Fig. 3
Fig. 3. Bland-Altman plot showing difference in adjusted Quantra estimates and mastectomy specimen volume. (A) Entire breast group, (B) fatty breast group, and (C) dense breast group.
Fig. 4
Fig. 4. Sample image for Quantra-based estimation of preoperative breast volume. A 57-year-old woman with invasive ductal carcinoma of the right breast underwent a total mastectomy. (A) Preoperatively, the patient underwent routine mammography with fully automated breast volumetric software (Quantra). (B) The Quantra- and adjusted Quantra-based breast volume was 571 cm3 and 456.8 cm3, respectively. After total mastectomy, the weight of the actual mastectomy specimen was 460 g, and the converted specimen volume was 447.2 cm3.

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