Research Article: A novel method based on ultrasound radiomics for predicting attainment of near-adult height in adolescents
Abstract:
This study aimed to develop and validate a novel ultrasound radiomics model for predicting the attainment of near-adult height (NAH) in adolescents.
This dual-center prospective cohort study enrolled 192 adolescents aged 11.0–18.0 years. Standardized ultrasound examinations of the ulnar growth plate region were performed, and 475 radiomic features were extracted. Feature selection was conducted using Least Absolute Shrinkage and Selection Operator (LASSO) algorithm with 5-fold cross-validation. Seven machine learning algorithms were compared to develop predictive models. Three models were constructed: clinical (sex and bone age), radiomics (Rad-score), and combined (sex, bone age, and Rad-score). Model performance was evaluated using area under the receiver operating characteristic curve, accuracy, sensitivity, specificity, calibration curves, and decision curve analysis.
Three stable radiomic features were selected with selection frequency ?80%: wavelet-LH_glcm_Imc2, wavelet-LL_ngtdm_Busyness, and wavelet-HL_firstorder_Energy. The combined model demonstrated superior performance, achieving AUCs of 0.981 (95% CI: 0.948–1.000) in the validation set, with sensitivity of 90% and specificity of 100%. Multivariate analysis identified independent positive predictors including Rad-score (OR = 3.28, P = 0.013) and bone age (OR = 2.65, P < 0.001). And male sex was a significant negative predictor (OR = 0.15, P = 0.005).
The combined ultrasound radiomics machine learning model achieved excellent predictive performance for NAH attainment in adolescents. The non-ionizing ultrasound approach enables repeated dynamic monitoring, and the derived nomogram facilitates individualized risk stratification in routine pediatric practice.
Introduction:
Adolescence is a critical stage of skeletal development in which longitudinal bone growth accelerates and the physis gradually mature and close ( 1 , 2 ). During this period, clinicians are often faced with the practical challenge of accurately judging a child’s remaining growth potential, because the answer directly affects whether the child is likely to reach an ideal adult height and whether timely intervention is needed. In routine practice, growth-related disorders such as short stature and pubertal timing…
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