Abstract
1565 Background: Breast implant-associated anaplastic large-cell lymphoma (BIA-ALCL) is a rare subtype of T-cell lymphoma, developing in in the fluid or capsule surrounding breast implants, primarily or exclusively in those with textured surfaces. Several prior series have estimated the risk of BIA- ALCL at 1/6920 - 1/3800 women in retrospectively defined cohorts (from diagnosed cases within national or pathology databases), approximating the population at risk from sales records or other estimates (Sirinvasa 2017; Loch-Wilkinson 2017; de Boer 2018). Methods: A prospective cohort study was conducted in the population that underwent breast reconstruction by a single surgeon at Memorial Sloan Kettering Cancer Center (MSKCC) from April 1993 to December 2017. Patients had long-term follow-up, and events related to implants were prospectively recorded. We identified all cases of BIA-ALCL by cross-checking data from internal clinical records, pathology records, and outside reports. Incidence rate per person-years and cumulative incidence when accounting for competing risk were calculated. 134 women who received smooth-surface implants were excluded from the analysis, since these implants have not been associated with BIA-ALCL. Results: From 1993 to 2017, 3546 patients underwent 6023 breast reconstructions using textured surface implants. All reconstructions were performed by a single surgeon (PGC) on patients enrolled in this study. To identify BIA-ALCL occurrence, clinical and pathological data were assessed from a prospective database. Median follow-up was 7 years (range, 3 days - 24.7 years). Eight women developed ALCL after a median exposure of 11.2 years (range, 8.3-15.8 years). Overall risk of BIA-ALCL in this cohort was 0.294 cases per 1000 person-years (1/443 women). Conclusions: This study, evaluating the risk of women with textured breast implants from a prospective database with long-term follow-up, demonstrated that the incidence rate of BIA-ALCL may be higher than previously reported. These results can help inform implant choice for women undergoing breast reconstruction.
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