Diagnostic value of pituitary volume in girls with precocious puberty

To date, the gonadotropin-releasing hormone (GnRH) stimulation test is still the gold standard for precocious puberty (PP) diagnosis. However, it has many disadvantages, including low sensitivity, high cost, and invasive operation. This study aims to evaluate whether magnetic resonance imaging (MRI)...

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Bibliographic Details
Published in:BMC pediatrics 2020-09, Vol.20 (1), p.425-425, Article 425
Main Authors: Wu, Su, Yang, Yan, Wang, Yujiao, Liu, Qianqi, Zhu, Ziyang, Gu, Wei
Format: Article
Language:English
Subjects:
Age
Body Mass Index
Boys
Breasts
Child
Children & youth
Diagnosis
Diagnostic imaging
Female
Follicle Stimulating Hormone
Girls
Gonadotropins
Health aspects
Humans
Infant
Luteinizing Hormone
Magnetic resonance imaging
Medical diagnosis
MRI
Pediatrics
Physical growth
Pituitary
Pituitary gland
Pituitary volume
Precocious puberty
Puberty
Puberty, Precocious - diagnostic imaging
ROC Curve
Statistical analysis
Variables
Variance analysis
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Summary:To date, the gonadotropin-releasing hormone (GnRH) stimulation test is still the gold standard for precocious puberty (PP) diagnosis. However, it has many disadvantages, including low sensitivity, high cost, and invasive operation. This study aims to evaluate whether magnetic resonance imaging (MRI)-derived variables, including pituitary volume (PV), could be used as diagnostic factors for PP in girls, providing a non-invasive diagnostic approach for PP. A total of 288 young female patients who presented to the Clinic of Pediatric Endocrinology for evaluation of PP from January 2015 to December 2017 were enrolled. The sample included 90 girls diagnosed with premature thelarche (PT), 133 girls determined as idiopathic central precocious puberty (ICPP), 35 early pubertal girls, and 30 normal girls. All patients received pituitary MRI examinations. The largest PV and pituitary height were shown in the ICPP and pubertal groups, followed by the PT group. The receiver operating characteristic (ROC) curve analysis showed that PV is a predictive marker for ICPP, with a sensitivity of 54.10% and a specificity of 72.20% at the cutoff value of 196.01 mm . By univariate analysis, PV was positively associated with peak luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH), age, bone age, and body mass index (BMI) (all P 
ISSN:1471-2431
1471-2431
DOI:10.1186/s12887-020-02283-7