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临床试验/NCT04116723
NCT04116723招募中不适用

Trial of Flexible Bracing Treatment of Adolescents Idiopathic Scoliosis

The Hong Kong Polytechnic University1 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2022年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
100
试验地点
1
主要终点
In-flexible brace Cobb angle measurements

研究概览

简要总结

Scoliosis is the three-dimensional (3D) deformity of the spine and trunk. The majority or 80% of the scoliosis cases are idiopathic which means that the cause is unknown. The progression of scoliosis is much more frequently seen in females and severely scoliotic patients face a higher risk of different health problems in their adult life Bracing is the most commonly used non-invasive treatment for patients with smaller spinal curves which are usually between 21 and 40 degrees at Risser stage 0, 1 or 2. However, scoliosis braces are traditionally constructed based on the experience of orthotists. Since 3D spinal deformities are complex, the design and evaluation of braces are challenging with no consensus on an optimal brace design. AI and ML methods therefore constitute a new approach to address the difficulties in designing braces.

详细描述

The designs of flexible brace include: an artificial hinge bone is used to stabilize the corrective components. Corrective straps are attached to the artificial hinge to exert corrective forces onto the scoliotic spine. Semi-rigid silicon pads with high conformability to the body are used to enhance the corrective forces.

This study is a multi-disciplinary collaborative project with experts in computer science, orthopaedics, materials science, garment technology, engineering and biomechanics. A biomechanical computational model will be developed to recommend modifications to the flexible brace design. The effectiveness of the flexible braces will be evaluated through low-dose X-ray radiography at pre-, post-expert and post-ML designed treatment. A polynomial scoring system will be created to assess the therapeutic similarity of the ML-designed flexible brace to the expert-designed flexible brace based on an estimate of the corrective forces applied through the braces. Reinforcement learning with scores based on estimated pressure force will guide AI training towards superior therapeutic designs.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Treatment
盲法
None

入排标准

年龄范围
10 Years 至 15 Years(Child)
性别
Female
接受健康志愿者

入选标准

  • Teenagers diagnosed with adolescent idiopathic scoliosis
  • Cobb's angle between 20 to 45 degrees
  • Immature skeletons (Risser grade 0-2)
  • Types of scoliosis are classified by the Lenke classification system
  • Have received rigid brace treatment

排除标准

  • Contraindications for x-ray exposure
  • Diagnosis of other musculoskeletal or developmental illness that might be responsible for the spinal curvature
  • History of previous surgical treatment for AIS
  • Contraindications for pulmonary and/ or exercise tests
  • Psychiatric disorders
  • Recent trauma
  • Recent traumatic (emotional) event

结局指标

主要结局

In-flexible brace Cobb angle measurements

时间窗: 2 hours after wearing the brace

1. Number of Participants Maintaining Cobb Angle Stability (\<5° Increase) After Wearing the Brace for 2 Hours, as Measured by Spine X-ray (AP View).

次要结局

  • Idea pressure level measurements(2 hours after wearing the brace)
  • Visual analogue scale (VAS) Scores(2 hours after wearing the brace)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Joanne Yip

Professor

The Hong Kong Polytechnic University

研究点 (1)

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