Basal gonadotropin levels combine with pelvic ultrasound and pituitary volume: a machine learning diagnostic model of idiopathic central precocious puberty

Basal gonadotropin levels combine with pelvic ultrasound and pituitary volume: a machine learning diagnostic model of idiopathic central precocious puberty

Abstract Objective The current diagnosis of central precocious puberty (CPP) relies on the gonadotropin-releasing hormone analogue (GnRHa) stimulation test, which requires multiple invasive blood sampling procedures. The aim of this study was to construct machine learning models incorporating basal...

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Bibliographic Details
Main Authors: Tao Chen, Danbin Zhang
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Pediatrics
Subjects:
Central precocious puberty
Machine learning
Magnetic resonance imaging
Pelvic Ultrasound
Uterine volume
Online Access:https://doi.org/10.1186/s12887-023-04432-0

Internet

https://doi.org/10.1186/s12887-023-04432-0

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