Clinical trial · Observational
Differentiating Tumor-stroma Ratio in Pancreatic Ductal Adenocarcinoma
One Novel Transfer Learning-based CLIP Model Combined With Self-attention Mechanism for Differentiating the Tumor-stroma Ratio in Pancreatic Ductal Adenocarcinoma: a Multi-center Retrospective Cohort Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Pancreatic Ductal Adenocarcinoma | Pancreatic Ductal Adenocarcinoma | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- low TSR and high TSR group
- description
- 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 outcomes (1)
- measure
- The diagnostic AUC value of pancreatic ductal adenocarcinoma with deep learning algorithm.
- timeFrame
- 1 year
- description
- AUC=(Sensitivity+Specificity)-1
Secondary outcomes (5)
- measure
- The diagnostic accuracy of pancreatic ductal adenocarcinoma with deep learning algorithm.
- timeFrame
- 1 year
- description
- The diagnostic accuracy of pancreatic ductal adenocarcinoma with deep learning algorithm.
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: 1. patients with pathologically proven PDAC by surgical resection 2. patients who underwent CT scan within a month before surgery 3. observable pancreatic lesions on available images. Exclusion Criteria: 1. any anti-cancer therapy before CT scanning 2. conspicuous interference or significant motion distortions found on images 3. partial clinical data 4. patients with liver metastases or peritoneal carcinomatosis prior to surgical intervention.
References
Publications (0)
Data not yet available