Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data
Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data and Its Clinical Application
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: huaiwu Lu
- Phone Number: 86+ 18688395806
- Email: luhuaiwu@mail.sysu.edu.cn
Study Contact Backup
- Name: Dongdong Ye
- Phone Number: 86+ 15218054426
- Email: yedd3@mail2.sysu.edu.cn
Study Locations
-
-
Guangdong
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Guangzhou, Guangdong, China, 520120
- Recruiting
- The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
-
Contact:
- huaiwu Lu
- Phone Number: 86+ 18688395806
- Email: luhuaiwu@mail.sysu.edu.cn
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
SYSU cohort
Patients cohort from Sun Yat-sen Memorial Hospital, as the training cohort.
|
A score based on the LASSO regression model predicting the R0 resection of the primary debulking surgery of advanced ovarian cancer.
|
|
ZJCH cohort
Patients cohort from Zhejiang Cancer Hospital, as the external validation cohort.
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A score based on the LASSO regression model predicting the R0 resection of the primary debulking surgery of advanced ovarian cancer.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
R0 resection
Time Frame: yes or not
|
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 Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
5-year progression-free survival (PFS)
Time Frame: 5 years
|
PFS was calculated from the date of the last chemotherapy until disease progression or death due to any cause.
|
5 years
|
|
5-year overall survival (OS)
Time Frame: 5-year
|
OS was calculated from the date of the primary debulking surgery until death due to any cause.
|
5-year
|
|
Response to platinum-based chemotherapy
Time Frame: At least 6 months after the last chemotherapy
|
After the last chemotherapy, treatment efficacy was assessed according to NCCN guidelines.
For primary tumor, patients who relapsed 6 months or more after initial chemotherapy were termed platinum-sensitive.
In contrast, patients whose disease recurred in less than 6 months were classified as platinum-resistant.
|
At least 6 months after the last chemotherapy
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: huaiwu Lu, The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Publications and helpful links
General Publications
- 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.
- Feng 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.
- Vergote 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. Erratum In: Lancet Oncol. 2019 Jan;20(1):e10. doi: 10.1016/S1470-2045(18)30949-5.
- Suidan 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.
- Chereau 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.
- Wang 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.
- Palomar 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.
- Dondi 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.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Neoplasms by Histologic Type
- Neoplasms
- Urogenital Neoplasms
- Neoplasms by Site
- Carcinoma
- Neoplasms, Glandular and Epithelial
- Genital Neoplasms, Female
- Endocrine System Diseases
- Ovarian Diseases
- Adnexal Diseases
- Gonadal Disorders
- Endocrine Gland Neoplasms
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Urogenital Diseases
- Genital Diseases
- Genital Diseases, Female
- Ovarian Neoplasms
- Carcinoma, Ovarian Epithelial
Other Study ID Numbers
Other Study ID Numbers
- SYSKY-2024-503-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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