Ignite Creation Date:
2024-10-26 @ 3:36 PM
Last Modification Date:
2024-10-26 @ 3:36 PM
Study NCT ID:
NCT06533709
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-07-30
Brief Title:
Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data and Its Clinical Application
Status:
RECRUITING
Status Verified Date:
2024-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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
Detailed Description:
Ovarian cancer is the gynecological malignant tumor with the highest fatality rate More than 70 of patients are diagnosed with advanced stage often involving various organs of the pelvis and abdomen which increases the difficulty of surgical resection and the 5-year survival rate is only 30 Surgical treatment is the cornerstone of the treatment of ovarian cancer and whether it can achieve satisfactory tumor reduction is an important factor affecting the prognosis of ovarian cancer At present the methods used to evaluate whether satisfactory tumor reduction can be achieved include Suidan score based on CT image and Fagotti score based on laparoscopic exploration but there are problems such as low sensitivity poor specificity or strong subjectivity and the efficiency of predicting satisfactory tumor reduction is only about 60 In recent years PET-CT has been widely used in tumor diagnosis Pet-ct combined with PET metabolic imaging technology and traditional CT scanning can help to distinguish the nature of tumors assess the systemic tumor load define the scope of the lesion and provide the metabolic status of various parts of the body The application value of PET-CT related imaging features and metabolic information in ovarian cancer needs to be clarified Our teams previous study found that PET-CT related images and metabolic information showed certain advantages in predicting satisfactory resection of ovarian cancer and the AUC reached 085 which was better than the current CT image score and laparoscopic score Therefore this project intends to conduct a multicenter retrospective study to evaluate the satisfactory tumor reduction rate of advanced ovarian cancer using PET-CT images to guide clinical practice and predict the prognosis of patients At the same time we will explore the molecular biological characteristics and clinical relevance of ovarian cancer through the combination of high-throughput sequencing genomics and radiomics
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None