Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data and Its Clinical Application
Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
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.
Eligibility
Participation Requirements
Sex: Female
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: f
View:
• Pathological type is epithelial ovarian cancer.
• Underwent primary debulking surgery at our hospital.
• Postoperative pathological staging is FIGO stage IIB or above.
• Clinical, surgical, and pathological data of the patient are mostly complete.
Locations
Other Locations
China
The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
RECRUITING
Guangzhou
Contact Information
Primary
Huaiwu Lu
luhuaiwu@mail.sysu.edu.cn
86+ 18688395806
Backup
Dongdong Ye
yedd3@mail2.sysu.edu.cn
86+ 15218054426
Time Frame
Start Date: 2024-06-01
Estimated Completion Date: 2026-05-31
Participants
Target number of participants: 146
Treatments
SYSU cohort
Patients cohort from Sun Yat-sen Memorial Hospital, as the training cohort.
ZJCH cohort
Patients cohort from Zhejiang Cancer Hospital, as the external validation cohort.
Related Therapeutic Areas
Sponsors
Leads: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University