Pituitary MRI features in identifying idiopathic short stature from growth hormone deficiency in children with short stature.

IF 4.7 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Radiology Pub Date : 2025-10-01 Epub Date: 2025-04-11 DOI:10.1007/s00330-025-11556-7

Longbiao Cai, Xiongjing Cao, Jianjian Cai, Qin Liu, Yunyun Zhao, Xianrong Kong, Guojun Ding, Tian Tian, Weiyin Vivian Liu, Dong Liu

{"title":"Pituitary MRI features in identifying idiopathic short stature from growth hormone deficiency in children with short stature.","authors":"Longbiao Cai, Xiongjing Cao, Jianjian Cai, Qin Liu, Yunyun Zhao, Xianrong Kong, Guojun Ding, Tian Tian, Weiyin Vivian Liu, Dong Liu","doi":"10.1007/s00330-025-11556-7","DOIUrl":null,"url":null,"abstract":"Objective: This study examined the diagnostic performance of the prediction models using baseline characteristics, biochemical indicators, and adenohypophysis MRI features for differentiating idiopathic short stature (ISS) from growth hormone deficiency (GHD).Methods: A total of 96 patients with short stature underwent hypophysial CUBE T1-weighted imaging on 3.0-T scanner and GH stimulation testing between February 2021 and February 2024 and were classified into ISS and GHD groups according to GH stimulation testing results. Two-independent-sample T-test was tested for the differences between groups. The partial correlation analysis was conducted after controlling for demographic data. The prediction models were established using stepwise binary logistic regression method. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of the models.Results: ISS group (29 boys and 29 girls) and GHD group (21 boys and 17 girls) showed significant differences in pituitary height (aPH) and pituitary volume (aPV), GHmax, LHmax and cortisol but no difference in demographic data (gender, age, height, weight and BMI). After controlling for those demographic data, aPH, aPV, FSHmax and LHmax showed positive correlation with GHmax. Using binary logistic regression, three prediction models were built; Model 1 had the highest AUC value (0.862) followed by Model 3 with AUC value of 0.858 and Model 2 with the lowest AUC value (0.725).Conclusion: A useful prediction model using adenohypophysis MRI features, age, and BMI had great potential in differentiation between GHD and ISS.Key points: Question Distinguishing growth hormone deficiency (GHD) from idiopathic short stature (ISS) among prepubescent children is important but difficult, time-consuming, and costly with growth hormone stimulation testing. Findings The proposed model using clinical and radiomics features offered sufficient diagnostic performance on differentiating GHD and ISS. Clinical relevance We propose a low-cost, time-saving, and non-invasive model based on adenohypophysis MRI features and baseline characteristics to differentiate GHD and ISS.","PeriodicalId":12076,"journal":{"name":"European Radiology","volume":" ","pages":"6183-6192"},"PeriodicalIF":4.7000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00330-025-11556-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}

引用次数: 0

Abstract

Objective: This study examined the diagnostic performance of the prediction models using baseline characteristics, biochemical indicators, and adenohypophysis MRI features for differentiating idiopathic short stature (ISS) from growth hormone deficiency (GHD).

Methods: A total of 96 patients with short stature underwent hypophysial CUBE T1-weighted imaging on 3.0-T scanner and GH stimulation testing between February 2021 and February 2024 and were classified into ISS and GHD groups according to GH stimulation testing results. Two-independent-sample T-test was tested for the differences between groups. The partial correlation analysis was conducted after controlling for demographic data. The prediction models were established using stepwise binary logistic regression method. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of the models.

Results: ISS group (29 boys and 29 girls) and GHD group (21 boys and 17 girls) showed significant differences in pituitary height (aPH) and pituitary volume (aPV), GH_max, LH_max and cortisol but no difference in demographic data (gender, age, height, weight and BMI). After controlling for those demographic data, aPH, aPV, FSH_max and LH_max showed positive correlation with GH_max. Using binary logistic regression, three prediction models were built; Model 1 had the highest AUC value (0.862) followed by Model 3 with AUC value of 0.858 and Model 2 with the lowest AUC value (0.725).

Conclusion: A useful prediction model using adenohypophysis MRI features, age, and BMI had great potential in differentiation between GHD and ISS.

Key points: Question Distinguishing growth hormone deficiency (GHD) from idiopathic short stature (ISS) among prepubescent children is important but difficult, time-consuming, and costly with growth hormone stimulation testing. Findings The proposed model using clinical and radiomics features offered sufficient diagnostic performance on differentiating GHD and ISS. Clinical relevance We propose a low-cost, time-saving, and non-invasive model based on adenohypophysis MRI features and baseline characteristics to differentiate GHD and ISS.

查看原文本刊更多论文

垂体MRI特征鉴别特发性矮小儿童生长激素缺乏症。

目的：本研究利用基线特征、生化指标和垂体腺垂体MRI特征检测预测模型对特发性身材矮小（ISS）和生长激素缺乏症（GHD）的诊断性能。方法：于2021年2月至2024年2月，对96例身材矮小的患者进行3.0-T扫描CUBE t1加权成像，并进行GH刺激试验，根据GH刺激试验结果分为ISS组和GHD组。对组间差异进行双独立样本t检验。控制人口统计数据后进行偏相关分析。采用逐步二元logistic回归方法建立预测模型。采用受试者工作特征（ROC）曲线分析评价模型的诊断效果。结果：ISS组（男生29名、女生29名）和GHD组（男生21名、女生17名）在垂体高度（aPH）、垂体体积（aPV）、GHmax、LHmax和皮质醇方面存在显著差异，但在人口统计学数据（性别、年龄、身高、体重、BMI）方面无显著差异。在控制人口统计学数据后，aPH、aPV、FSHmax和LHmax与GHmax呈显著正相关。采用二元logistic回归，建立了三种预测模型；模型1的AUC值最高（0.862），其次是模型3，AUC值为0.858，模型2的AUC值最低（0.725）。结论：垂体腺核磁共振特征、年龄和BMI对GHD和ISS的鉴别有很大的预测潜力。在青春期前儿童中区分生长激素缺乏症（GHD）和特发性身材矮小症（ISS）很重要，但使用生长激素刺激试验困难、耗时且昂贵。结果该模型结合临床和放射组学特征，对GHD和ISS的鉴别诊断具有足够的效能。我们提出一种基于腺垂体MRI特征和基线特征的低成本、省时、无创模型来区分GHD和ISS。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

European Radiology 医学-核医学

CiteScore

11.60

自引率

8.50%

发文量

874

审稿时长

2-4 weeks

期刊介绍： European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.