Detection of Scoliosis
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age10-18
SponsorUniversity College, London
About this trial
This study aims to evaluate whether plantar pressure data collected during standing and walking can be used with machine learning to support early detection of scoliosis in young people. Patients with scoliosis and healthy volunteers aged 10-18 will undergo a short assessment using a pressure mat.
Eligibility criteria
Qualifiers
Healthy Controls: Adolescents without any spinal condition or significant musculoskeletal issues, and with no prior history of scoliosis, to provide normal plantar pressure data for comparison.
Scoliosis Diagnosis: Adolescents diagnosed with adolescent idiopathic scoliosis (AIS) by a healthcare professional (through clinical evaluation and/or radiographic assessment) are eligible.
Age: Participants must be between the ages of 10 and 18 years at the time of recruitment.
Willingness to Participate: Participants and their parent(s)/guardian(s) must provide informed consent/assent prior to participation.
Disqualifiers
Severe Pain or Discomfort: Participants unable to stand or walk comfortably due to pain or musculoskeletal issues.
Non-cooperation: Participants who are unable or unwilling to follow instructions or consent/assent procedures.
Uncontrolled Medical Conditions: Adolescents with uncontrolled conditions (e.g., cardiovascular or endocrine disorders) compromising participation.
Recent Foot Injuries or Conditions: Participants with foot injuries or conditions (e.g., wounds, infections) that may interfere with plantar pressure measurement.
Trial design
Treatments tested in this trial
- Not listed
Trial groups
500 Participants
are grouped into 2 trial groupsLocations
Sponsors and collaborators
University College, London
Lead sponsor
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Collaborator
Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
Collaborator
Source ClinicalTrials.gov