Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data
1 other identifier
observational
146
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 1, 2024
CompletedFirst Submitted
Initial submission to the registry
July 30, 2024
CompletedFirst Posted
Study publicly available on registry
August 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 31, 2026
August 1, 2024
July 1, 2024
2 years
July 30, 2024
July 30, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
R0 resection
In patients with advanced ovarian cancer, the residual status after initial cytoreductive surgery is defined as follows: complete resection is defined as R0 resection, whereas visible residual tumor lesions during surgery are defined as non-R0 resection
yes or not
Secondary Outcomes (3)
5-year progression-free survival (PFS)
5 years
5-year overall survival (OS)
5-year
Response to platinum-based chemotherapy
At least 6 months after the last chemotherapy
Study Arms (2)
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.
Interventions
A score based on the LASSO regression model predicting the R0 resection of the primary debulking surgery of advanced ovarian cancer.
Eligibility Criteria
A total of 96 patients with advanced ovarian cancer who underwent PET-CT examination before the surgery, and received primary debulking surgery at our center from July 2017 to April 2024 were included for model development. Additionally, 50 patients from Zhejiang Cancer Hospital were included for model validation.
You may qualify if:
- 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 may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Guangzhou, Guangdong, 520120, China
Related Publications (8)
Bristow RE, Tomacruz RS, Armstrong DK, Trimble EL, Montz FJ. Survival effect of maximal cytoreductive surgery for advanced ovarian carcinoma during the platinum era: a meta-analysis. J Clin Oncol. 2002 Mar 1;20(5):1248-59. doi: 10.1200/JCO.2002.20.5.1248.
PMID: 11870167RESULTFeng Z, Wen H, Jiang Z, Liu S, Ju X, Chen X, Xia L, Xu J, Bi R, Wu X. A triage strategy in advanced ovarian cancer management based on multiple predictive models for R0 resection: a prospective cohort study. J Gynecol Oncol. 2018 Sep;29(5):e65. doi: 10.3802/jgo.2018.29.e65. Epub 2018 Apr 23.
PMID: 30022629RESULTVergote I, Coens C, Nankivell M, Kristensen GB, Parmar MKB, Ehlen T, Jayson GC, Johnson N, Swart AM, Verheijen R, McCluggage WG, Perren T, Panici PB, Kenter G, Casado A, Mendiola C, Stuart G, Reed NS, Kehoe S; EORTC; MRC CHORUS study investigators. Neoadjuvant chemotherapy versus debulking surgery in advanced tubo-ovarian cancers: pooled analysis of individual patient data from the EORTC 55971 and CHORUS trials. Lancet Oncol. 2018 Dec;19(12):1680-1687. doi: 10.1016/S1470-2045(18)30566-7. Epub 2018 Nov 6.
PMID: 30413383RESULTSuidan RS, Ramirez PT, Sarasohn DM, Teitcher JB, Iyer RB, Zhou Q, Iasonos A, Denesopolis J, Zivanovic O, Long Roche KC, Sonoda Y, Coleman RL, Abu-Rustum NR, Hricak H, Chi DS. A multicenter assessment of the ability of preoperative computed tomography scan and CA-125 to predict gross residual disease at primary debulking for advanced epithelial ovarian cancer. Gynecol Oncol. 2017 Apr;145(1):27-31. doi: 10.1016/j.ygyno.2017.02.020. Epub 2017 Feb 14.
PMID: 28209497RESULTChereau E, Ballester M, Selle F, Cortez A, Darai E, Rouzier R. Comparison of peritoneal carcinomatosis scoring methods in predicting resectability and prognosis in advanced ovarian cancer. Am J Obstet Gynecol. 2010 Feb;202(2):178.e1-178.e10. doi: 10.1016/j.ajog.2009.10.856.
PMID: 20113693RESULTWang J, Liu L, Pang H, Liu L, Jing X, Li Y. Preoperative PET/CT score can predict incomplete resection after debulking surgery for advanced serous ovarian cancer better than CT score, MTV, tumor markers and hematological markers. Acta Obstet Gynecol Scand. 2022 Nov;101(11):1315-1327. doi: 10.1111/aogs.14442. Epub 2022 Aug 18.
PMID: 35979992RESULTPalomar Munoz A, Cordero Garcia JM, Talavera Rubio MDP, Garcia Vicente AM, Pena Pardo FJ, Jimenez Londono GA, Soriano Castrejon A, Aranda Aguilar E. Value of [18F]FDG-PET/CT and CA125, serum levels and kinetic parameters, in early detection of ovarian cancer recurrence: Influence of histological subtypes and tumor stages. Medicine (Baltimore). 2018 Apr;97(17):e0098. doi: 10.1097/MD.0000000000010098.
PMID: 29702969RESULTDondi F, Albano D, Bellini P, Camoni L, Treglia G, Bertagna F. Relationship between Baseline [18F]FDG PET/CT Semiquantitative Parameters and BRCA Mutational Status and Their Prognostic Role in Patients with Invasive Ductal Breast Carcinoma. Tomography. 2022 Oct 27;8(6):2662-2675. doi: 10.3390/tomography8060222.
PMID: 36412681RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
huaiwu Lu
The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 30, 2024
First Posted
August 1, 2024
Study Start
June 1, 2024
Primary Completion (Estimated)
May 31, 2026
Study Completion (Estimated)
May 31, 2026
Last Updated
August 1, 2024
Record last verified: 2024-07
Data Sharing
- IPD Sharing
- Will not share