Predicting Metastatic Oral Squamous Cell Carcinomas With Molecular Biomarkers Using Machine Learning

The University of Hong Kong (HKU)

Status: Unknown

Conditions: Oral Squamous Cell Carcinoma

Treatments: Procedure: Surgery

Study type: Observational

Funder types: Other

Identifiers

NCT04543266

UW19-704

Details and patient eligibility

About

Application Management Team:

PI - Siu Wai Choi; email - [e-mail] Delegates - Chui Shan Chu; email: [e-mail] FollowUpUsers - Chui Shan Chu; email:[e-mail]

Full description

Eligibility Criteria:

• patients were diagnosed with a baseline disease of oral squamous carcinoma.

Exclusion Criteria:

• N/A

Sample size:

• ~500 subjects

Source of Data:

• The data, such as age and medical records, would be obtained from Hospital Authority Clinical Management System (HACMS)

Statistical analysis:

• machine learning will be applied into analysis plan

Enrollment: 500 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• patients with oral squamous carcinoma
• received surgery from 1st October 2000 to 1st October 2019

Exclusion criteria

N/A

Trial design

500 participants in 2 patient groups

Patients with Progressive Disease

Description:

Patients with metastasis and/or recurrent OSCC were considered as a group of subjects with progressive disease

Treatment:

Procedure: Surgery

Patients without Progressive Disease

Description:

Patients without metastasis and/or recurrent OSCC were considered as a group of subjects without progressive disease

Treatment:

Procedure: Surgery