2013-01
2022-07
2024-03
207
NCT06302881
First Affiliated Hospital of Chongqing Medical University
First Affiliated Hospital of Chongqing Medical University
OBSERVATIONAL
Differentiating Tumor-stroma Ratio in Pancreatic Ductal Adenocarcinoma
This study introduces a novel transfer learning-based contrastive language-image pretraining adapter (CLIP-adapter) model for predicting the tumor-stroma ratio (TSR) in pancreatic ductal adenocarcinoma (PDAC) using preoperative dual-phase CT images. The primary aim is to develop an efficient and accessible tool for risk stratification and personalized treatment planning.
The proposed novel Contrastive Language-Image Pretraining-Adapter (CLIP-adapter) model, leveraging transfer learning, framing CLIP and a self-attention mechanism for predicting TSR in PDAC, in order to exhibit high performance in distinguishing low and high TSR PDAC in the test cohort. We speculated the CLIP-adapter model outperformed single-phase models, specifically CLIP models based on arterial or venous phase images alone. The addition of a feature fusion module could enhance the model's differentiation capacity, emphasizing its superiority over single-phase models. Besides, the model we designed utilized both image and text information during network training, instead of focusing on images only. This underscores the importance of comprehensive assessment in PDAC imaging evaluation, with the potential to contribute to risk stratification and personalized treatment planning.
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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2024-02-29 | N/A | 2024-03-07 |
2024-03-07 | N/A | 2024-03-12 |
2024-03-12 | 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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: low TSR and high TSR group The assessment of the tumor-stroma ratio (TSR) entailed measuring the percentage of tumor and stroma constituents. Based on earlier research, 5/5 was deemed as ideal threshold of TSR measurement. |
Primary Outcome Measures | Measure Description | Time Frame |
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The diagnostic AUC value of pancreatic ductal adenocarcinoma with deep learning algorithm. | AUC=(Sensitivity+Specificity)-1 | 1 year |
Secondary Outcome Measures | Measure Description | Time Frame |
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The diagnostic accuracy of pancreatic ductal adenocarcinoma with deep learning algorithm. | The diagnostic accuracy of pancreatic ductal adenocarcinoma with deep learning algorithm. | 1 year |
The diagnostic sensitivity of pancreatic ductal adenocarcinoma with deep learning algorithm. | The diagnostic sensitivity of pancreatic ductal adenocarcinoma with deep learning algorithm. | 1 year |
The diagnostic specificity of pancreatic ductal adenocarcinoma with deep learning algorithm. | The diagnostic specificity of pancreatic ductal adenocarcinoma with deep learning algorithm. | 1 year |
The diagnostic positive predictive value of pancreatic ductal adenocarcinoma with deep learning algorithm. | The diagnostic positive predictive value of pancreatic ductal adenocarcinoma with deep learning algorithm. | 1 year |
The diagnostic negative predictive value of pancreatic ductal adenocarcinoma with deep learning algorithm. | The diagnostic negative predictive value of pancreatic ductal adenocarcinoma with deep learning algorithm. | 1 year |
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:
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