Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids

NCT ID: NCT06317610

Last Updated: 2024-03-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-01

Study Completion Date

2024-05-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict growth of ovarian cancer organoids.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Ovarian Cancer

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

OTHER

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

growth prediction of ovarian cancer organoids in the frame of bright field image by leveraging AI

biopsy or puncture: Patients received biopsy or puncture to obtain tumor tissues or Malignant effusion for organoids establishment

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Patients must have histologically confirmed diagnosis of epithelial ovarian cancer
* Patients received biopsy or puncture to obtain tumor tissues or malignant effusion
* Patients voluntarily participated in the study and signed informed consent.

Exclusion Criteria

* Non-epithelial ovarian cancer
* No sufficient amount of tumor tissues or malignant effusion for organoids establishment.
Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Chongqing University Cancer Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Dongling Zou, M.D.

Role: PRINCIPAL_INVESTIGATOR

Chongqing University Cancer Hospital

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Chongqing Cancer Hospital

Chongqing, Chongqing Municipality, China

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

China

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Dongling Zou, MD

Role: CONTACT

13657690699

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Dongling Zou, M.D.

Role: primary

13657690699

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

CQGOG0206

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Microtransplantation for Ovarian Cancer
NCT05095558 UNKNOWN PHASE1/PHASE2