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

RECRUITINGSponsored by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Actively Recruiting
SponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Started2024-06-01
Est. completion2026-05-31
Eligibility
Age18 Years – 80 Years
SexFEMALE
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06533709

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

Age: 18 Years – 80 YearsSex: FEMALEHealthy volunteers accepted
Inclusion Criteria:

* 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.

Exclusion Criteria:

* 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.

Conditions4

CancerImageOvarian CancerPredation

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