Algorithm for Schroth-Curve-Type Classification of Adolescent Idiopathic Scoliosis: An Intra- and Inter-Rater...

Area of Science:

• Orthopedics
• Physical Therapy
• Biomedical Engineering

Background:

• Schroth exercises are a common scoliosis treatment, with prescription based on specific curve types.
• Accurate classification of scoliosis curve types is crucial for effective Schroth exercise prescription.
• Current classification methods may lack consistent reliability among practitioners.

Purpose of the Study:

• To determine the reliability of a novel algorithm for classifying Schroth curve types in adolescent idiopathic scoliosis.
• To assess the impact of therapist training and experience on the algorithm's classification reliability.

Main Methods:

• Forty-four adolescent idiopathic scoliosis patients (10-18 years) with curves (10°-50°) were recruited.
• Patient posture and Adam's bending tests were videotaped.
• Ten Schroth therapists independently classified curve types using the algorithm twice, with reliability assessed via Gwet's AC1 coefficient.

Main Results:

• Intra-rater reliability ranged from 0.64 to 0.89, and inter-rater reliability ranged from 0.43 to 0.79, depending on therapist experience.
• Therapists with full understanding and prior algorithm experience demonstrated significantly higher intra-rater and inter-rater reliability.
• The proposed algorithm showed potential for improving consistency in Schroth curve classification.

Conclusions:

• The Schroth curve classification algorithm demonstrates moderate to high reliability, particularly with trained and experienced therapists.
• Algorithm use can standardize Schroth exercise prescription, potentially improving treatment outcomes for scoliosis.
• Further validation and implementation of the algorithm are recommended for clinical practice.