Background: 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. Methods: 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. Results: 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 mm³. 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 < 0.05). However, bone age and peak LH were the only significant predictors of PV as demonstrated by the stepwise multivariate regression analysis (Model: PV = 9.431 * bone age + 1.230 * peak LH + 92.625 [P = 0.000, R² = 0.159]). Conclusions: The PV in the ICPP group was significantly higher than in PT and control groups, but there was no reliable cutoff value to distinguish ICPP from PT. Pituitary MRI should be combined with clinical and laboratory tests to improve the diagnostic value of PV for PP.

Objective. To describe the demographic features of children with short stature and poor growth in the south of China and provide better guidance on clinical strategy and decisions. Study Design. This retrospective, chart review study analyzed children with short stature and poor growth admitted to the Department of Endocrinology of Children’s Hospital of Nanjing Medical University from Jan 2007 to Dec 2015. Results. The chart review yielded 4142 patients, including 2546 boys and 1596 girls (P < 0.001); the number of patients gradually increased per year from 2007 to 2015. There was an upward trend in the average levels of height standard deviations (SDs) during the study period (P < 0.001), both in males (P < 0.001) and females (P < 0.001). Mean height SDs were smaller in females (-2.42±1.09) than males (-2.33±1.03; P = 0.01). The percentage of females admitted at normal height (33.83%) was lower than that of males (37.20%; P = 0.028). The peak age range of hospitalization in males was 10–12 years of age, while females were generally admitted earlier—8–10 years. Conclusions. There was an increasing tendency to focus on children’s height. Parents and pediatricians were recommended to pay more attention to the treatment needs of girls while avoiding excessive treatment of those who merely appear not to be tall enough without a clear medical issue related to growth, especially for boys.

This report describes a clinically rare and atypical case of 46,X,idic(X)(q21.32)/45,X-type Turner syndrome with rapidly progressive puberty development. After 11 months of treatment with recombinant human growth hormone (rhGH), the child’s height increased. After 18 months of treatment with rhGH, the child showed secondary sex characteristics. The child was followed up for 1 year after the appearance of the secondary sex characteristics, and regular menses were still present. This case indicates that modern molecular biology techniques should be used rationally to further investigate the existence of X-chromosome translocations and occult chimeras to prevent misdiagnosis.

Rabson–Mendenhall syndrome (RMS) is a rare autosomal recessive disorder caused by mutations in the insulin receptor gene ( INSR), leading to severe insulin resistance. Clinical manifestations of RMS include hypertrichosis and acanthosis nigricans. A 3-yr-old male patient presented with darkened skin on the neck, without any apparent precipitating factors, and did not exhibit symptoms of polyuria or polydipsia. Both the patient and his older sister displayed signs of hypertrichosis and acanthosis nigricans. Laboratory investigations revealed significantly elevated levels of insulin and C-peptide. Genetic testing identified two mutations in the INSR gene: c.3614C>T in exon 20 and c.3670G>A in exon 21, with the latter being a novel mutation previously unreported in RMS. His sister also exhibited similar clinical features and harbored the same mutations. Consequently, both siblings were diagnosed with RMS. The novel mutation c.3670G>A in exon 21, inherited from the father, is likely to impair insulin receptor function by disrupting tyrosine kinase activity, thereby contributing to the pathogenesis of genealogical RMS.

Background: 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.Methods: 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.Results: 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 mm³. 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 < 0.05). However, bone age and peak LH were the only significant predictors of PV as demonstrated by the stepwise multivariate regression analysis (Model: PV = 9.431 * bone age + 1.230 * peak LH + 92.625 [P = 0.000, R² = 0.159]).Conclusions: The PV in the ICPP group was significantly higher than in PT and control groups, but there was no reliable cutoff value to distinguish ICPP from PT. Pituitary MRI should be combined with clinical and laboratory tests to improve the diagnostic value of PV for PP.

To date, the gonadotropin-releasing hormone (GnRH) stimulation test is still the pivotal guarantee of precocious puberty (PP) diagnosis. However, it has many disadvantages, including low sensitivity, high cost, and invasive operation. This study aimed to evaluate the impacts of magnetic resonance imaging (MRI)-derived variables on the diagnosis of PP in girls, providing a non-invasive diagnostic method for PP. Methods: 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. Results: The largest pituitary volume (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 might be a predictive marker for ICPP, with a sensitivity of 54.10% and a specificity of 72.20% at the cutoff value of 196.01 mm3. By univariate analysis, PV was significantly and positively associated with peak luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH), age, bone age, and Body Mass Index (BMI) (all P < 0.05). However, bone age and peak LH were the only significant predictors of PV by the stepwise multivariate regression analysis (Model: PV = 9.431 * bone age + 1.230 * peak LH + 92.625 [P = 0.000, R2 = 0.159)). Conclusions: The PV in the ICPP group was significantly higher than that in the PT and control groups, but there was no reliable cutoff value to distinguish ICPP from PT. Pituitary MRI should be combined with clinical and laboratory tests to maximize the diagnostic value of PV for PP.