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Research Article: Development and Verification of Machine Learning Model Based on Anogenital Distance, Penoscrotal Distance, and 2D:4D Finger Ratio before Puberty to Predict Hypospadias Classification Provisionally Accepted

Date Published: 2024-04-23

Introduction:
Objectives: To describe the anatomical abnormalities of hypospadias before puberty using current commonly used anthropometric index data and predict postoperative diagnostic classification.Children with hypospadias before puberty who were initially treated at Sichuan Provincial People's Hospital from April 2021 to September 2022 were selected. We recorded their preoperative penoscrotal distance, anogenital distance, 2D:4D finger ratio, and postoperative hypospadias classification. The receiver operating…

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