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NCT Number: NCT07581015

Detection of Scoliosis

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.

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Key information

Conditions

Adolescent Idiopathic Scoliosis (AIS)

Age range

10 year–18 year

Sex eligibility

All sexes

Study type

Observational

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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.
  • Ability to Complete Study Procedures: Participants must be able to complete the plantar pressure measurement test, which requires standing on a pressure mat for a few minutes.

Exclusion criteria

  • 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.

Treatment and study plan

Primary outcomes

  1. A classification model based on ML using plantar pressure data to distinguish between scoliosis patients and healthy volunteers.

    Time frame: 6 months after data collection

Sponsors and collaborators

Lead sponsor

University College, London

Other

Collaborators

  • Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
  • Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Registry information

Official study title

Early Detection of Adolescent Idiopathic Scoliosis Using Machine Learning on Plantar Pressure Data

Important dates

Study start
2026
Primary completion
2027
Study completion
2028
First posted
May 12, 2026
Registry last updated
May 12, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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