AI-Powered Scoliosis Auto-Analysis System Multicenter Development and Validations

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age10-80
SponsorThe University of Hong Kong

About this trial

The investigators aim to use artificial intelligence (AI) to help clinicians in diagnosing and assessing spinal deformities.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Idiopathic scoliosis, adult deformity (spondylolisthesis, idiopathic kyphosis, kyphoscoliosis, lordoscoliosis)

Disqualifiers

Refusal for imaging, postoperative patients

Trial population

All subjects with spinal deformities

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • Nude back photo

    Other intervention

    Nude back photo at baseline and at follow-ups for each patient and visual severity and curve type classifications

Treatment groups

2,500 Participants
are divided into 1 treatment group
Group A: All subjects are diagnosed of having a spinal deformity1 intervention

Trial outcomes

Primary outcomes

1

Cobb angle

Coronal Cobb angle of the spinal deformity. The most tilted end vertebrae away from the apex will be used for measurement of the Cobb angle.The anteroposterior radiograph is used to assess

Time frame
1 year

Secondary outcomes

1

Thoracic kyphosis

Thoracic kyphosis T5-12: angle between upper endplate of T5 to lower endplate of T12 in the lateral radiograph

Time frame
1 year
2

Lumbar lordosis

Lumbar lordosis L1-S1: angle between upper endplate of L1 to top of S1 in the lateral radiograph

Time frame
1 year
3

Pelvic tilt

Pelvic tilt angle measurement in degrees in the lateral radiograph

Time frame
1 year
4

Sacral slope

Sacral slope angle measurement in degrees in the lateral radiograph

Time frame
1 year

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

The University of Hong Kong

Lead sponsor

Peking Union Medical College

Collaborator

Peking University Third Hospital

Collaborator

Beijing Chao Yang Hospital

Collaborator

University of Malaya

Collaborator

Nara Medical University

Collaborator

Hamamatsu University

Collaborator

Ruijin Hospital

Collaborator

Huashan Hospital

Collaborator

Zhejiang University

Collaborator

Ji Shui Tan Hospital

Collaborator