Diagnostic value of pituitary MRI and clinical features in the differentiation of growth hormone deficiency and idiopathic short stature in children
10.3969/j.issn.1002-1671.2025.08.024
- VernacularTitle:垂体MRI及临床特征在鉴别儿童生长激素缺乏症及特发性矮小中的诊断价值
- Author:
Yu HE
1
;
Wanliang GUO
1
;
Yongbiao NI
1
Author Information
1. 苏州大学附属儿童医院放射科,江苏 苏州 215025
- Publication Type:Journal Article
- Keywords:
short stature;
growth hormone deficiency;
idiopathic short stature;
pituitary magnetic resonance imaging
- From:
Journal of Practical Radiology
2025;41(8):1365-1369
- CountryChina
- Language:Chinese
-
Abstract:
Objective To select important features for the differentiation of growth hormone deficiency(GHD)and idiopathic short stature(ISS)by analyzing the clinical and imaging features in patients with short stature.Methods The clinical data and pituitary MRI images of 139 children with short stature were analyzed retrospectively.According to the growth hormone(GH)stimulation test,a peak GH level＜10 ng/mL was considered GHD group,while≥ 10 ng/mL was ISS group.Independent sample t-test,x2 test,and Mann-Whitney U test were used to compare the differences between the two groups.The indicators with statistically significant differences between the two groups were included in a binary logistic regression analysis to identify independent factors that differentiate GHD from ISS.Additionally,the receiver operating characteristic(ROC)curve was used to assess the diagnostic efficacy.Partial correlation analysis was performed to evaluate the association between adenohypophysis volume(aPV)and peak GH.Results Body mass index(BMI)was significantly higher in the GHD group than that in the ISS group,while free triiodothyronine(FT3),adenohypophysis height(aPH),and aPV were significantly lower than those in the ISS group(P＜0.05).Binary logistic regression analysis results showed that aPV[odds ratio(OR)=0.984,95％confidence interval(CI)0.974-0.994,P=0.002],BMI(OR=1.835,95％CI 1.377-2.446,P＜0.001),FT3(OR=0.249,95％CI 0.075-0.828,P=0.023)were independent factors in differentiating GHD and ISS.The area under the curve(AUC)of the combined differential diagnostic for these three indicators were 0.929(0.873-0.966),with a sensitivity of 89.47％and a specificity of 92.08％.Partial correlation analysis results showed that aPV was positively correlated with peak GH(r=0.300,P＜0.001).Conclusion The assessment of aPV by pituitary MRI,combined with clinical indicators,can be a useful method to differentiate between GHD and ISS.
