ArticleThe Journal of international medical research2021
Noninvasive radiomics-based method for evaluating idiopathic central precocious puberty in girls.
Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- MRI features and radiomics of the pineal gland in girls do not show significant changes at onset of puberty.Frontiers in endocrinology · 2026Article
- Magnetic resonance imaging -based radiomics of the pituitary gland is highly predictive of precocious puberty in girls: a pilot study.Frontiers in endocrinology · 2025Article
- Assessing the Diagnostic Performance of Automated Pituitary Gland Volume Measurement for Idiopathic Central Precocious Puberty.Journal of clinical medicine · 2024Article
- Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging-Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study.Journal of medical Internet research · 2024Article
- Basal gonadotropin levels combine with pelvic ultrasound and pituitary volume: a machine learning diagnostic model of idiopathic central precocious puberty.BMC pediatrics · 2023Article
- Promoting the application of pediatric radiomics via an integrated medical engineering approach.Cancer innovation · 2023Review
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Authors and funding
9 authors.
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Abstract
objectiveTraditional approaches that involve measuring the height and volume of the pituitary by magnetic resonance imaging (MRI) are unreliable. We investigated the use of a more accurate method using texture analysis to evaluate idiopathic central precocious puberty (ICPP) by MRI.
methodsIn total, 352 texture features of the pituitary were extracted from 12 healthy girls and 18 girls with ICPP. A LASSO regression model and linear regression model were used to create the prediction model. Pearson's correlation analysis and receiver operating characteristic curves were used to evaluate the predictive performance.
resultsThe radiomics score had a significant linear relationship with the luteinizing hormone concentration and the luteinizing hormone/follicle-stimulating hormone ratio. The radiomics score showed better predictive performance than traditional pituitary measurements. The area under the curve of the radiomics score, pituitary height, and variable combinations was 0.759 (95% confidence interval [CI], 0.583-0.936), 0.681 (95% CI, 0.483-0.878), and 0.829 (95% CI, 0.681-0.976), respectively.
conclusionCombination of the radiomics score with pituitary height measurements allows for better evaluation of the pituitary during diagnostic imaging, indicating satisfactory potential for efficacy assessments.
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