NCT06954753

Predicting Cancer in Pancreatic Cystic Lesions Through Artificial Intelligence

Deep Learning for Malignant Degeneration Prediction of Pancreatic Cystic Lesions - Beyond High-risk Stigmata

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 250 (estimated)
• Sponsor: Centre Hospitalier Universitaire de Nice · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

This international, multicenter retrospective study aims to develop a deep learning (DL)-based predictive model to identify malignant transformation in pancreatic cystic lesions, improving upon current clinical guidelines. The model will integrate clinical, biochemical, and multimodal imaging data. Several 3D convolutional neural networks will be trained using advanced preprocessing, data augmentation, and hybrid fusion techniques. Model performance will be compared to that of existing international guidelines. The study involves no additional procedures for patients and adheres to strict data anonymization and privacy regulations.

Conditions

• Pancreatic Cancer
• Pancreatic Cystic Lesions

Interventions

Type	Name	Description
PROCEDURE	Pancreatic surgery	Pancreatic resective surgery performed for pancreatic cystic lesions with high risk of malignant degeneration based on clinical, biochemical, and/or radiological features following current guidelines on pancreatic cystic lesions management.

Timeline

• Start date: 2025-06-01
• Primary completion: 2026-06-01
• Completion: 2026-12-31
• First posted: 2025-05-02
• Last updated: 2025-05-02