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Predicting Cancer in Pancreatic Cystic Lesions Through Artificial Intelligence

NCT06954753 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2025-05-02

No results posted yet for this study

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

Interventions

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.

Sponsors & Collaborators

  • Centre Hospitalier Universitaire de Nice

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-06-01
Primary Completion
2026-06-01
Completion
2026-12-31

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06954753 on ClinicalTrials.gov