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Updated: Aug 5, 2026

Automated Joint Space Detection Improves Bone Segmentation Accuracy
Published on: November 28, 2025
Development and validation of subtype-specific simplified ultrasound assessment systems for juvenile idiopathic
Lirong Zhu1,2,3, Juan Wang4, Chunmei Yin1,2,3
1Department of Ultrasound, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China.
Objectives:
Comprehensive ultrasound effectively assesses synovitis in juvenile idiopathic arthritis (JIA) but is time-consuming. Existing simplified scores apply a uniform joint combination to all subtypes, overlooking the differences between the oligoarticular (oJIA) and polyarticular (pJIA) forms. We aimed to develop subtype-specific simplified ultrasound systems to improve clinical efficiency.
Methods:
In this prospective study, 83 patients with active oJIA (n = 42) or pJIA (n = 41) underwent a standardized 68-joint grayscale and Power Doppler assessment. Subtype-specific models were constructed using data-driven stepwise selection to ensure 100% patient coverage. Primary endpoints were diagnostic performance for high disease activity (according to the Juvenile Arthritis Disease Activity Score-27, JADAS27) and numerical agreement.
Results:
Examination time was reduced by approximately 67% (∼13 vs. 38.8 min). The oJIA model required 4 joint pairs (elbows, knees, ankles, MCP1); although its correlation with systemic activity was limited by localized disease, it showed excellent numerical agreement with the comprehensive score, supporting its use for monitoring. The pJIA model (6 joint pairs: elbows, wrists, hips, knees, PIP3, PIP5) showed superior diagnostic performance for high disease activity (AUC = 0.88) compared with the all-patient model (AUC = 0.67), and a strong correlation with JADAS27 (rs = 0.68, P < 0.001).
Conclusions:
Subtype-specific simplified ultrasound systems substantially reduce examination time while maintaining accuracy. The pJIA model effectively grades disease activity, whereas the oJIA model provides a reliable, efficient tool for longitudinal monitoring. This individualized approach optimizes workflow efficiency in pediatric rheumatology.
