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Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data

NCT06533709 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 146

Last updated 2024-08-01

No results posted yet for this study

Summary

This project intends to conduct a multicenter retrospective study to evaluate the satisfactory reduction of advanced ovarian cancer using PET-CT images, and explore the correlation between molecular biological characteristics and clinical characteristics of ovarian cancer through high-throughput sequencing genomics combined with radiomics.

Conditions

Interventions

DIAGNOSTIC_TEST

Radio-score

A score based on the LASSO regression model predicting the R0 resection of the primary debulking surgery of advanced ovarian cancer.

Sponsors & Collaborators

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    lead OTHER

Principal Investigators

  • huaiwu Lu · The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-01
Primary Completion
2026-05-31
Completion
2026-05-31

Countries

  • China

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 NCT06533709 on ClinicalTrials.gov