2021-01-13
2023-08-31
2023-08-31
295
NCT06267690
First Affiliated Hospital, Sun Yat-Sen University
First Affiliated Hospital, Sun Yat-Sen University
OBSERVATIONAL
A CT-based Radiomics Model to Predict Survival-graded Fibrosis in PDAC
Tumor fibrosis plays an important role in chemotherapy resistance in pancreatic ductal adenocarcinoma (PDAC), however there remains a contradiction in the prognostic value of fibrosis. We aimed to investigate the relationship between tumor fibrosis and survival in patients with PDAC, classify patients into high- and low-fibrosis groups, and develop and validate a CT-based radiomics model to non-invasively predict fibrosis before treatment.
This retrospective, bicentric study included 295 pretreated patients with PDAC. Tumor fibrosis was assessed using the collagen fraction (CF). Clinical-pathological variables were gathered, and radiological features were evaluated by three radiologists in consensus. The patients were followed up at 1, 3, 6, and 9 months postoperatively and every 3-6 months thereafter. All follow-up examinations included carbohydrate antigen 19-9 (CA 19-9) measurements and imaging (contrast-enhanced CT, contrast-enhanced MRI, ultrasonography, or positron emission tomography). The overall survival (OS) and disease-free survival (DFS) were also recorded. Cox regression analysis was used to evaluate the associations of CF with OS and DFS. Receiver operating characteristic (ROC) analyses were used to determine the rounded threshold of CF. An integrated model (IM) was developed by incorporating selected radiomic features and clinical-radiological characteristics. The predictive performance was validated in the test cohort (Center 2). It was hypothesized that tumor fibrosis could be classified into two survival-graded groups and that the incorporation of radiomics features and clinical-radiological features would help predict the status of fibrosis. Thus, the association between fibrosis and overall survival (OS)/disease-free survival (DFS) was determined, and the patients with PDAC were divided into high- and low-CF groups in this study. In addition, a CT-based radiomics model was developed and validated to non-invasively predict fibrosis before treatment in patients with PDAC from two centers. It was hypothesized that the performance of the integrated model would be superior to that of the clinical-radiological model.
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Registration Dates | Results Reporting Dates | Study Record Updates |
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2024-02-13 | N/A | 2024-02-13 |
2024-02-13 | N/A | 2024-02-20 |
2024-02-20 | N/A | 2024-02 |
This section provides details of the study plan, including how the study is designed and what the study is measuring.
Primary Purpose:
N/A
Allocation:
N/A
Interventional Model:
N/A
Masking:
N/A
Arms and Interventions
Participant Group/Arm | Intervention/Treatment |
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: high fibrosis group No intervention had been adminstered during treatment of patients. | PROCEDURE: surgery
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: low fibrosis group No intervention had been adminstered during treatment of patients. | PROCEDURE: surgery
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Primary Outcome Measures | Measure Description | Time Frame |
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fibrosis | percentage | after the surgery |
Secondary Outcome Measures | Measure Description | Time Frame |
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This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.
Ages Eligible for Study:
ALL
Sexes Eligible for Study:
18 Years
Accepts Healthy Volunteers:
This is where you will find people and organizations involved with this study.
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
No publications available