UnknownNot Applicable

Oral Cancer Screening and Education in Hong Kong

3,190 participantsStarted 2021-08-01

Plain-language summary

This study will be conducted to obtain data on oral cancer risk factors to generate machine learning models with good predictive accuracy for stratifying individuals with high-oral cancer risk and delineating high-risk and low-risk oral lesions. Likewise, this study will seek to provide oral cancer-related health education and training on oral-self-examination for beneficiaries

Who can participate

Age range45 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Healthy individuals satisfying age and residential area criteria with no previous history of oral cancer. Individuals with a history of other cancers will be included in the study provided they have been in remission for more than three years. Exclusion Criteria: * Participants with reduced mouth opening (irrespective of the cause) to permit proper administration of VOE or photosensitive epilepsy will be excluded. Likewise, those who decline the provision of written consent or participation in any part of the study.

What they're measuring

Accuracy of machine learning algorithms for predicting high-risk persons

Timeframe: 24 months

Accuracy of machine learning algorithms for discriminating high-risk and low-risk lesions

Timeframe: 24 months

Trial details

NCT IDNCT04487938

SponsorThe University of Hong Kong

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2023-07-31

Contact for this trial

John Adeoye

56441784 jaadeoye@hku.hk

View on ClinicalTrials.gov More Oral Cancer trials