1. An external validation of a novel predictive algorithm for male nipple areolar positioning : an improvement to current practice through a multicenter endeavor
- Author
-
Mark-Bram Bouman, Sterre E Mokken, Kevin M Veen, Stanislas Monstrey, Marlon E. Buncamper, Floyd W Timmermans, Timotheus C van de Grift, Margriet G Mullender, Laure Ruyssinck, Karel E.Y. Claes, Cardiothoracic Surgery, Plastic, Reconstructive and Hand Surgery, AMS - Rehabilitation & Development, AMS - Tissue Function & Regeneration, APH - Quality of Care, APH - Methodology, Other Research, and Psychiatry
- Subjects
TRANSGENDER ,anthropometry ,COMPLEX ,business.industry ,SURGERY ,External validation ,Anthropometry ,gender surgery ,Current practice ,transgender individual ,Cohort ,Transgender ,morphology ,MASTECTOMY ,Medicine and Health Sciences ,TO-MALE TRANSSEXUALS ,Medicine ,Surgery ,nipple reconstruction ,Chest surgery ,business ,Algorithm ,Validation cohort ,Male nipple - Abstract
The correct positioning of nipple-areolar complexes (NAC) during gender-affirming mastectomies remains a particular challenge. Recently, a Dutch two-step algorithm was proposed predicting the most ideal NAC-position derived from a large cisgender male cohort. We aimed to externally validate this algorithm in a Belgian cohort. The Belgian validation cohort consisted of cisgender men. Based on patient-specific anthropometry, the algorithm predicts nipple-nipple distance (NN) and sternal-notch-to-nipple distance (SNN). Predictions were externally validated using the performance measures: R2-value, means squared error (MSE) and mean absolute percentage error (MAPE). Additionally, data were collected from a Belgian and Dutch cohort of transgender men having undergone mastectomy with free nipple grafts. The observed and predicted NN and SNN were compared and the inter-center variability was assessed. A total of 51 Belgian cisgender and 25 transgender men were included, as well as 150 Dutch cisgender and 96 transgender men. Respectively, the performance measures (R2-value, MSE and MAPE) for NN were 0.315, 2.35 (95%CI:0–6.9), 4.9% (95%CI:3.8–6.1) and 0.423, 1.51 (95%CI:0–4.02), 4.73%(95%CI:3.7–5.7) for SNN. When applying the algorithm to both transgender cohorts, the predicted SNN was larger in both Dutch (17.1measured(±1.7) vs. 18.7predicted(±1.4), p= measured(±1.8) vs. 18.4predicted(±1.5), p= measured(±2.6) vs. 21.2predicted(±1.6), p = 0.025) and too short in the Dutch cohort (19.8measured(±1.8) vs. 20.7predicted(±1.9), p = 0.001). Both models performed well in external validation. This indicates that this two-step algorithm provides a reproducible and accurate clinical tool in determining the most ideal patient-tailored NAC-position in transgender men seeking gender-affirming chest surgery.
- Published
- 2023
- Full Text
- View/download PDF