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Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data
Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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.
Official title: Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data and Its Clinical Application
Key Details
Gender
FEMALE
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
146
Start Date
2024-06-01
Completion Date
2026-05-31
Last Updated
2024-08-01
Healthy Volunteers
No
Conditions
Interventions
Radio-score
A score based on the LASSO regression model predicting the R0 resection of the primary debulking surgery of advanced ovarian cancer.
Locations (1)
The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China