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ABSTRACT: Background
The rate of concurrent endometrial cancer (EC) in atypical endometrial hyperplasia (AEH) can be as high as 40%. Some patient characteristics showed associations with this occurrence. However, their real predictive power with related validation has yet to be discovered. The present study aimed to assess the performance of various models based on patient characteristics in predicting EC in women with AEH.Methods
This is a retrospective multi-institutional study including women with AEH undergoing definitive surgery. The women were divided according to the final histology (EC vs. no-EC). The available cases were divided into a training and validation set. Using k-fold cross-validation, we built many predictive models, including regressions and artificial neural networks (ANN).Results
A total of 193/629 women (30.7%) showed EC at hysterectomy. A total of 26/193 (13.4%) women showed high-risk EC. Regression and ANN models showed a prediction performance with a mean area under the curve of 0.65 and 0.75 on the validation set, respectively. Among the best prediction models, the most recurrent patient characteristics were age, body mass index, Lynch syndrome, diabetes, and previous breast cancer. None of these independent variables showed associations with high-risk diseases in women with EC.Conclusions
Patient characteristics did not show satisfactory performance in predicting EC in AEH. Risk stratification in AEH based mainly on patient characteristics may be clinically unsuitable.
SUBMITTER: Giannella L
PROVIDER: S-EPMC10778118 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
Giannella Luca L Piva Francesco F Delli Carpini Giovanni G Di Giuseppe Jacopo J Grelloni Camilla C Giulietti Matteo M Sopracordevole Francesco F Giorda Giorgio G Del Fabro Anna A Clemente Nicolò N Gardella Barbara B Bogani Giorgio G Brasile Orsola O Martinello Ruby R Caretto Marta M Ghelardi Alessandro A Albanesi Gianluca G Stevenazzi Guido G Venturini Paolo P Papiccio Maria M Cannì Marco M Barbero Maggiorino M Fambrini Massimiliano M Maggi Veronica V Uccella Stefano S Spinillo Arsenio A Raspagliesi Francesco F Greco Pantaleo P Simoncini Tommaso T Petraglia Felice F Ciavattini Andrea A
Cancers 20231229 1
<h4>Background</h4>The rate of concurrent endometrial cancer (EC) in atypical endometrial hyperplasia (AEH) can be as high as 40%. Some patient characteristics showed associations with this occurrence. However, their real predictive power with related validation has yet to be discovered. The present study aimed to assess the performance of various models based on patient characteristics in predicting EC in women with AEH.<h4>Methods</h4>This is a retrospective multi-institutional study including ...[more]