Predictive analysis of the scoliotic curve using a subject's 3D model

Area of Science:

• Orthopedics and Rehabilitation Engineering
• Biomedical Engineering
• Medical Imaging and Modeling

Background:

• Conservative scoliosis treatment necessitates precise prosthetic corset design.
• Current methods may lack predictive accuracy for optimal treatment algorithms.
• Advancements in CAD technology offer potential for improved orthotic design.

Purpose of the Study:

• To develop and validate a predictive analysis method for conservative scoliosis treatment.
• To utilize 3D modeling and open-source software for prosthetic corset design.
• To enhance the accuracy and effectiveness of scoliosis corrective aids.

Main Methods:

• A 3D virtual model of the torso was created using open-source CAD software.
• Scoliosis shape was simplified using a directional polygon based on curve arcs.
• Predictive analysis simulated correction by altering Cobb angle, eccentricity, and torso height.

Main Results:

• The method demonstrated the ability to simulate scoliosis correction virtually.
• Changes in Cobb angle, eccentricity, and torso height were quantifiable outcomes.
• The approach provides a basis for predicting treatment efficacy.

Conclusions:

• The proposed low-cost predictive analysis aids in accurate orthosis design for scoliosis.
• This method supports comprehensive planning of conservative scoliosis treatment.
• It empowers certified prosthetists and orthotists (CPOs) with enhanced design tools.