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Predictors of Ovarian Cancer and Endometrial Cancer for Artificial-Intelligence-Based Screening Tools

NCT05697601 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2905

Last updated 2023-11-27

No results posted yet for this study

Summary

The goal of this observational study is to explore the possible associated factors of ovarian cancer and endometrial cancer in Indonesia and develop screening tools that could predict the risk of both types of cancer

The specific objectives of the study are

1. Elaborating the situation of ovarian and endometrial cancer in Indonesia
2. Exploring the possible clinical, demography and laboratory predictors of these diseases
3. Develop artificial-intelligence-based screening tools for both type of cancer based on possible predictors

This study will utilize the patient registry diagnosed with ovarian and endometrial cancer. We assumed that several demography, clinical, and laboratory predictors might possess good screening performance with higher sensitivity and specificity (\>80%).

Conditions

Interventions

DIAGNOSTIC_TEST

Artificial-Intelligence Based Screening Tools

Artificial-Intelligence Based Screening Tools build on machine learning models

DIAGNOSTIC_TEST

Pathology analysis

Pathology assessment of cells and tissues from respective organs

Sponsors & Collaborators

  • Chulalongkorn University

    collaborator OTHER

  • Hasanuddin University

    lead OTHER

Principal Investigators

  • Rina Masadah, Ph.D · Hasanuddin University

  • Bumi Herman, Ph.D · Chulalongkorn University

Eligibility

Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-02-28
Primary Completion
2024-02-28
Completion
2024-06-30

Countries

  • Indonesia

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05697601 on ClinicalTrials.gov