Ultrasonographic Identification of Shell Surface Types in Commercially Available Silicone Gel-Filled Breast Implants

Breast implant safety issues have resulted in the need for global product recalls and medical device tracing. Conventional methods of breast implant tracing, have to date proven to be unsuccessful. This study aims to evaluate the effectiveness of high-resolution ultrasound (HRUS) screening in identifying implanted breast devices.

Data from 113 female patients undergoing preoperative ultrasound screening for secondary breast surgery between 2019 and 2022 was prospectively reviewed to evaluate the effectiveness of HRUS imaging with the aid of a sonographic surface catalog to identify the surface and brand type of implanted breast devices. To corroborate the findings and assess the reproducibility of the approach, further evaluations were replicated in New Zealand white rabbits and compared with the results found in humans.

In the human recipients, implant surface and brand types were correctly identified by ultrasound imaging in 99% (112 of 113) and 96% (69 of 72) of the cases, either consultation-only or revision, respectively. This constituted an overall success rate of 98% (181 of 185). Furthermore, in a corroborating New Zealand white rabbit model where full-scale commercial implants were introduced and monitored over many months, from the total 28 analyzed, the surface was accurately identified in a total of 27 cases (the one failure being before generation of a sonograph surface catalogue), demonstrating an overall success rate of 96.4%.

HRUS is, therefore, a valid and first-hand tool for breast implant imaging that can correctly evaluate both surface type and brand type alongside other variables such as implant placement, positioning, flipping, or rupture.

HRUS is a valid and first-hand tool for the identification and traceability of breast implants that evaluates surface type and brand type. This low-cost, accessible, and reproducible practice provides patients with peace of mind and surgeons with a promising diagnostic tool.