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USMSIT/NMUSIT Fundamental Guide on Diagnostic and Interventional Wrist/Hand Ultrasonography
Wei-Ting Wu1,2, Ke-Vin Chang1,2,3, Yuan-Yuan Tsai1
1Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan.
Journal of Medical Ultrasound
|July 23, 2026
Summary
This guideline standardizes ultrasound (US) for wrist and hand disorders, improving diagnosis and treatment. It offers a systematic, anatomy-based approach for common conditions like carpal tunnel syndrome.
Area of Science:
- Musculoskeletal Imaging
- Diagnostic Ultrasound
- Anatomy-Based Protocols
Background:
- Wrist and hand disorders are common musculoskeletal complaints.
- High-resolution ultrasonography is crucial for evaluating and managing these conditions.
- Existing educational frameworks provide a basis for standardized ultrasound protocols.
Purpose of the Study:
- To establish a standardized, anatomy-based guideline for diagnostic and interventional ultrasound (US) of the wrist and hand.
- To enhance consistency, safety, and clinical effectiveness in US-based assessment and treatment.
- To create an image-anatomy framework for potential AI integration.
Main Methods:
- Developed a systematic scanning protocol covering key anatomical structures (extensor compartments, ligaments, carpal tunnel, etc.).
- Integrated patient positioning, transducer orientation, and dynamic maneuvers for optimal visualization.
- Utilized tripartite visual documentation (cadavers, illustrations, US images) for reproducible interpretation.
Main Results:
- Characterized common pathologies (De Quervain tenosynovitis, CTS, etc.) with key sonographic features.
- Provided practical guidance for US-guided interventions in specific conditions.
- Established a standardized approach for evaluating wrist and hand disorders using ultrasound.
Conclusions:
- The guideline enhances consistency and safety in ultrasound assessment and treatment of wrist and hand disorders.
- It provides a reproducible, anatomy-based framework for clinicians.
- The developed framework supports future advancements, including AI integration.
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