ArticleAnnals of surgical treatment and research2021
Mammography with a fully automated breast volumetric software as a novel method for estimating the preoperative breast volume prior to mastectomy.
Article in Annals of surgical treatment and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Difference in breast size between the first and third trimesters of pregnancy and changes in a woman's body size, subcutaneous fat tissue, and biochemical parameters.Scientific reports · 2026Article
- How Reliable Is Breast Volume Assessment When the Patient Is Lying Flat?-Volumetric Assessment of Breast Volume Using a Vectra H2 Handheld Device in Different Positions.Journal of clinical medicine · 2024Article
- Clinical use of perioperative magnetic resonance imaging-based breast volumetric analysis in final implant volume prediction for two-stage breast reconstruction.Annals of surgical treatment and research · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIncreasing 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.
methodsWe 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.
resultsSixty-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.
conclusionMammography with a fully automated breast volumetric software can be useful for measuring preoperative breast volume in patients with breast cancer who undergo reconstruction surgery.
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