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Silicone breast implants (SBIs) are commonly used for breast reconstruction and cosmetic surgery. However, long-term complications associated with SBI, such as rupture and infection, require careful monitoring. Here, we report a case in which coronavirus disease 2019 infection led to immunosuppression and secondary bacterial infection, resulting in skin ulceration and eventual removal of the SBI.

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Purpose: This study evaluates the hypothesis that a volumetric skin-sparing planning technique (SSPT) will reduce acute dermatitis in patients treated to the breast or chest wall (CW) with proton pencil-beam scanning (PBS).

Methods And Materials: In January 2022, our center incorporated volumetric-based skin-sparing objectives in addition to skin hot spot evaluation as an SSPT. The SSPT incorporated an objective to limit the volume of a skin evaluation structure (skin-eval) receiving 95% of the prescription dose or more (V95%Rx) to ideally < 50%.

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Background: Prepectoral (PP) immediate implant-based breast reconstruction (IBBR) is gaining popularity over the retropectoral (RP) breast reconstruction technique. This study aims to compare complication rates across different body mass index (BMI) groups in patients undergoing PP or RP IBBR.

Methods: A monocentric retrospective analysis was conducted on patients who underwent mastectomy and IBBR from January 2018 to December 2023.

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We present an approach for evaluating abdominal computed tomography (CT) scans that generates reproducible measures relevant to donor site morbidity after abdominally based breast reconstruction. Seventeen preoperative CT metrics were measured in 20 patients with software: interanterior superior iliac spine distance; abdominal wall protrusion; interrectus distance; rectus abdominis width, thickness, and width-to-thickness ratio; abdominal wall thickness; subcutaneous fat volume; visceral fat volume; right/left psoas volumes and densities; and right/left rectus abdominis volumes and densities. Two operators performed measures to determine interrater reliability (n = 10).

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