Actively Recruiting
Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data
Led by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · Updated on 2024-08-01
146
Participants Needed
1
Research Sites
104 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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.
You will not qualify if you...
- Pathological type is non-epithelial ovarian cancer.
- Underwent fertility-preserving surgery or palliative surgery.
- Presence of infection during PET/CT image acquisition.
- Concurrent other malignant tumors.
- Severe diseases of other major organs.
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China, 520120
Actively Recruiting
Research Team
H
Huaiwu Lu
CONTACT
D
Dongdong Ye
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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