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An external validation of a novel predictive algorithm for male nipple areolar positioning : an improvement to current practice through a multicenter endeavor

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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: R-2-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 (R-2-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 (17.1(measured)(+/- 1.7) vs. 18.7(predicted)(+/- 1.4), p= <0.001) and Belgian (16.2(measured)(+/- 1.8) vs. 18.4(predicted)(+/- 1.5), p= <0.001) cohorts, whereas NN was too long in the Belgian (22.0(measured)(+/- 2.6) vs. 21.2(predicted)(+/- 1.6), p = 0.025) and too short in the Dutch cohort (19.8(measured)(+/- 1.8) vs. 20.7(predicted)(+/- 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.
Keywords
Surgery, Mastectomy, transgender individual, gender surgery, nipple reconstruction, morphology, anthropometry, TO-MALE TRANSSEXUALS, TRANSGENDER, COMPLEX, SURGERY, MASTECTOMY

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MLA
Timmermans, Floyd, et al. “An External Validation of a Novel Predictive Algorithm for Male Nipple Areolar Positioning : An Improvement to Current Practice through a Multicenter Endeavor.” JOURNAL OF PLASTIC SURGERY AND HAND SURGERY, vol. 57, no. 1–6, 2023, pp. 103–08, doi:10.1080/2000656x.2021.1994982.
APA
Timmermans, F., Ruyssinck, L., Mokken, S. E., Buncamper, M., Veen, K. M., Mullender, M. G., … van de Grift, T. C. (2023). An external validation of a novel predictive algorithm for male nipple areolar positioning : an improvement to current practice through a multicenter endeavor. JOURNAL OF PLASTIC SURGERY AND HAND SURGERY, 57(1–6), 103–108. https://doi.org/10.1080/2000656x.2021.1994982
Chicago author-date
Timmermans, Floyd, Laure Ruyssinck, Sterre E. Mokken, Marlon Buncamper, Kevin M. Veen, Margriet G. Mullender, Karel Claes, Mark-Bram Bouman, Stan Monstrey, and Timotheus C. van de Grift. 2023. “An External Validation of a Novel Predictive Algorithm for Male Nipple Areolar Positioning : An Improvement to Current Practice through a Multicenter Endeavor.” JOURNAL OF PLASTIC SURGERY AND HAND SURGERY 57 (1–6): 103–8. https://doi.org/10.1080/2000656x.2021.1994982.
Chicago author-date (all authors)
Timmermans, Floyd, Laure Ruyssinck, Sterre E. Mokken, Marlon Buncamper, Kevin M. Veen, Margriet G. Mullender, Karel Claes, Mark-Bram Bouman, Stan Monstrey, and Timotheus C. van de Grift. 2023. “An External Validation of a Novel Predictive Algorithm for Male Nipple Areolar Positioning : An Improvement to Current Practice through a Multicenter Endeavor.” JOURNAL OF PLASTIC SURGERY AND HAND SURGERY 57 (1–6): 103–108. doi:10.1080/2000656x.2021.1994982.
Vancouver
1.
Timmermans F, Ruyssinck L, Mokken SE, Buncamper M, Veen KM, Mullender MG, et al. An external validation of a novel predictive algorithm for male nipple areolar positioning : an improvement to current practice through a multicenter endeavor. JOURNAL OF PLASTIC SURGERY AND HAND SURGERY. 2023;57(1–6):103–8.
IEEE
[1]
F. Timmermans et al., “An external validation of a novel predictive algorithm for male nipple areolar positioning : an improvement to current practice through a multicenter endeavor,” JOURNAL OF PLASTIC SURGERY AND HAND SURGERY, vol. 57, no. 1–6, pp. 103–108, 2023.
@article{8736657,
  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: R-2-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 (R-2-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 (17.1(measured)(+/- 1.7) vs. 18.7(predicted)(+/- 1.4), p= <0.001) and Belgian (16.2(measured)(+/- 1.8) vs. 18.4(predicted)(+/- 1.5), p= <0.001) cohorts, whereas NN was too long in the Belgian (22.0(measured)(+/- 2.6) vs. 21.2(predicted)(+/- 1.6), p = 0.025) and too short in the Dutch cohort (19.8(measured)(+/- 1.8) vs. 20.7(predicted)(+/- 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.}},
  author       = {{Timmermans, Floyd and Ruyssinck, Laure and Mokken, Sterre E. and Buncamper, Marlon and Veen, Kevin M. and Mullender, Margriet G. and Claes, Karel and Bouman, Mark-Bram and Monstrey, Stan and van de Grift, Timotheus C.}},
  issn         = {{2000-656X}},
  journal      = {{JOURNAL OF PLASTIC SURGERY AND HAND SURGERY}},
  keywords     = {{Surgery,Mastectomy,transgender individual,gender surgery,nipple reconstruction,morphology,anthropometry,TO-MALE TRANSSEXUALS,TRANSGENDER,COMPLEX,SURGERY,MASTECTOMY}},
  language     = {{eng}},
  number       = {{1-6}},
  pages        = {{103--108}},
  title        = {{An external validation of a novel predictive algorithm for male nipple areolar positioning : an improvement to current practice through a multicenter endeavor}},
  url          = {{http://doi.org/10.1080/2000656x.2021.1994982}},
  volume       = {{57}},
  year         = {{2023}},
}

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