Status:
NOT_YET_RECRUITING
Predicting Cancer in Pancreatic Cystic Lesions Through Artificial Intelligence
Lead Sponsor:
Centre Hospitalier Universitaire de Nice
Conditions:
Pancreatic Cancer
Pancreatic Cystic Lesions
Eligibility:
All Genders
18+ years
Brief 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 curren...
Eligibility Criteria
Inclusion
- Patients diagnosed with PCL(s ) who underwent pancreatic surgery in one of the participant centers. Surgical indication must adhere to at least one of current guidelines on PCLs management (6), based on clinical, biochemical, and radiological (MR and/or EUS) features.
- Pancreatic surgery B83performed for supposed increased risk of cyst(s) malignant degeneration following current guidelines on PCLs management (6).
- Absence of clinical, biochemical, radiological, and anatomopathological evidence of pancreatic cancer at pancreatic surgery.
- Non-opposition to the anonymous data processing by the included patients.
Exclusion
- Patients presenting with evidence of pancreatic cancer at surgery.
- PCL(s) diagnosis and treatment performed without one between EUS and pancreatic MR. surgery performed in the absence of the criteria proposed by current guidelines.
- Unavailability of both preoperative EUS and pancreatic MR data.
- Unavailability of postoperative PCL(s) anatomopathological analysis results.
- SBO diagnosis performed without CT-scan.
Key Trial Info
Start Date :
June 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2026
Estimated Enrollment :
250 Patients enrolled
Trial Details
Trial ID
NCT06954753
Start Date
June 1 2025
End Date
December 31 2026
Last Update
May 2 2025
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