An Online Calculator for Estimating Breast Implant Volume from Imaging

Abstract

Summary: Breast implant surgery remains one of the most common surgical procedures performed in the United States. Implant exchange can be complicated by unavailability of medical records or implant identification cards. Using chest imaging of 154 breast implants, an algorithm for estimating breast implant volume was generated. Based on four simple measurements and patient body mass index, a free, online calculator was created with a mean error of volume estimate of less than 1 cm3 and a SD of 44 cm3. In instances where a surgeon does not have implant records available but has chest imaging, this online tool can be used to obtain a relatively accurate estimate of implant volume.

Development and Validation of an Online Calculator to Predict Proximal Junctional Kyphosis After Adult Spinal Deformity Surgery Using Machine Learning

“…Given this context, controlling the α-value (type 1 error) is a common approach, with other studies often setting an α-value criterion of less than 0.1-0.2. 17,18 Furthermore, unlike conventional statistical methods, AI-driven research sometimes adopts a broader p-value range, particularly when complex interactions between multiple variables, as seen in our study focused on PJK. Thirdly, our analysis relied solely on baseline patient characteristics and their radiologic parameters.…”

“…The α-value represents the maximum type 1 error probability based on the sample mean value. Given this context, controlling the α-value (type 1 error) is a common approach, with other studies often setting an α-value criterion of less than 0.1–0.2 [ 17 , 18 ]. Furthermore, unlike conventional statistical methods, AI-driven research sometimes adopts a broader p-value range, particularly when analyzing complex interactions between multiple variables, as seen in our study focused on PJK.…”