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Liu D, Lv W, Liu WV, Tian T, Qin Y, Li Y, Liu Q, Cai J, Gao S, Ding G, Zhao Y, Zhou Y, Xie Y, Zhu W. MRI Radiomics Features of Adenohypophysis Determine the Activation of Hypothalamic-Pituitary-Gonadal Axis in Peri-Puberty Children. J Magn Reson Imaging 2024; 59:1769-1776. [PMID: 37501392 DOI: 10.1002/jmri.28914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 07/07/2023] [Accepted: 07/07/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND The status of the hypothalamic-pituitary-gonadal (HPG) axis is important for assessing the onset of physiological or pathological puberty. The reference standard gonadotropin-releasing hormone (GnRH) stimulation test requires hospital admission and repeated blood samples. A simple noninvasive method would be beneficial. OBJECTIVES To explore a noninvasive method for evaluating HPG axis activation in children using an MRI radiomics model. STUDY TYPE Retrospective. POPULATION Two hundred thirty-nine children (83 male; 3.6-14.6 years) with hypophysial MRI and GnRH stimulation tests, randomly divided a training set (168 children) and a test set (71 children). FIELD STRENGTH/SEQUENCE 3.0 T, 3D isotropic fast spin echo (CUBE) T1-weighted imaging (T1WI) sequences. ASSESSMENT Radiomics features were extracted from sagittal 3D CUBE T1WI, and imaging signatures were generated using the least absolute shrinkage and selection operator (LASSO) with 10-fold cross-validation. Diagnostic performance for differential diagnosis of HPG status was compared between a radiomics model and MRI features (adenohypophyseal height [aPH] and volume [aPV]). STATISTICAL TESTS Receiver operating characteristic (ROC) and decision curve analysis (DCA). A P value <0.05 was considered statistically significant. RESULTS Eight hundred fifty-one radiomics features were extracted and reduced to 10 by the LASSO method in the training cohort. The radiomics model based on CUBE T1WI showed good performance in assessment of HPG axis activation with an area under the ROC curve (AUC) of 0.81 (95% CI: 0.71, 0.91) in the test set. The AUC of the radiomics model was significantly higher than that of aPH (0.81 vs. 0.65) but there was no significant difference compared to aPV (0.81 vs. 0.78, P = 0.58). In DCA analysis, the radiomics signature showed higher net benefit over the aPV and aPH models. DATA CONCLUSIONS The MRI radiomics model has potential to assess HPG axis activation status noninvasively, potentially providing valuable information in the diagnosis of patients with pathological puberty onset. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Dong Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenzhi Lv
- Department of Artificial Intelligence, Julei Technology Company, Wuhan, Hubei, China
| | | | - Tian Tian
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanyuan Qin
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yakun Li
- Department of Endocrinology and Metabolism, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qin Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianjian Cai
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Sikang Gao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Guojun Ding
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yunyun Zhao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yiran Zhou
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yan Xie
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Wang S, Zhang Y, Zhou X, Zhang K, Zhang Y, Yao Y, Chen S, Pan H, Zhu H. High prevalence of overweight/obesity and dyslipidemia in patients with intracranial germ cell tumors. Pituitary 2022; 25:938-947. [PMID: 36088446 DOI: 10.1007/s11102-022-01274-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/09/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE To evaluate the prevalence of overweight/obesity and dyslipidemia in patients with intracranial germ cell tumor (iGCT), and to explore the risk factors of it. METHODS iGCT patients visiting Peking Union Medical College Hospital between Jan 2008 to Oct 2020 were included. The prevalence of overweight/obesity and dyslipidemia was calculated. Mixed-effects models were used to evaluate the relationship between BMI z-scores, concentration of lipid profiles and potential risk factors. RESULTS One hundred and six patients were included. The median follow-up time was 27 (IQR 5-59) months. The number of patients diagnosed with overweight/obesity and dyslipidemia were 49 (46.2%) and 86 (81.1%) during visits. Higher BMI z-scores were associated with treatment (mean difference (MD) 0.51, 95%CI 0.31-0.72), surgical biopsies (MD 0.71, 95%CI 0.16-1.25), adrenal insufficiency (MD 0.37, 95%CI 0.07-0.68), hypothyroidism (MD 0.35, 95%CI 0.06-0.63), glucocorticoid supplementation (MD 0.64, 95%CI 0.40-0.87), and thyroxine supplementation (MD 0.48, 95%CI 0.24-0.72). Hypothalamus involvement was associated with increased TC (MD 0.52, 95%CI 0.06-0.98), TG (MD 0.36, 95%CI 0.01-0.72), LDL-C (MD 0.60, 95%CI 0.20-0.98), and decreased HDL-C (MD - 0.23, 95%CI - 0.44 to - 0.02). Higher TC (MD 0.53, 95%CI 0.26-0.80) and LDL-C (MD 0.39, 95%CI 0.17-0.62) were observed in patients after treatment. Glucocorticoid supplementation was associated with increased TC (MD 0.70, 95%CI 0.38-1.03), LDL-C (MD 0.51, 95%CI 0.24-0.78), and HDL-C (MD 0.25, 95%CI 0.09-0.40), while sex hormone supplementation was associated with decreased TC (MD - 0.74, 95%CI - 1.2 to - 0.29) and TG (MD - 0.47, 95%CI - 0.86 to - 0.08). CONCLUSION Overweight/obesity and dyslipidemia were high prevalent in iGCT patients and should be screened during follow-ups.
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Affiliation(s)
- Shirui Wang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China
| | - Yuelun Zhang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiang Zhou
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China
| | - Kun Zhang
- Department of Endocrinology, Shijiazhuang People's Hospital, The People Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yi Zhang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong Yao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shi Chen
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China
| | - Hui Pan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China
| | - Huijuan Zhu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
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