Clinical Research Directory

EUS-Based Artificial Intelligence to Predict Outcomes in Pancreatic Cancer

The EUS-AI-R study is an observational, single-center, two-phase (retrospective-prospective) study designed to develop and validate artificial intelligence (AI) models for predicting chemotherapy response and oncological outcomes in patients with pancreatic ductal adenocarcinoma (PDAC). Patients who underwent endoscopic ultrasound (EUS) with tissue acquisition (EUS-FNA/FNB) for suspected pancreatic lesions at IRCCS San Raffaele Hospital between January 1st, 2019 and January 2026 will be retrospectively included. All patients have a histologically confirmed diagnosis of PDAC and a minimum follow-up of six months. These data derive from an IRB-approved institutional study (BIOPANCREAS; NCT06552078). Retrospective multimodal data, including EUS imaging (B-mode, elastography, contrast-enhanced EUS), clinical and laboratory variables, CT/MRI imaging, digital pathology, and molecular data when available, will be used to develop and internally validate multiple AI models. In the prospective phase, the best-performing AI model will be applied to an independent cohort of patients undergoing EUS at the same institution to evaluate feasibility, calibration, and real-world performance. No additional procedures beyond standard clinical practice will be performed.

An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound

The aim of this study is to validate an artificial intelligence system named iEUS-SPL(intelligent endoscopic ultrasound system-solid pancreatic lesion) for detecting and multimodal, multi-class diagnosing solid pancreatic lesions during endoscopic ultrasound(EUS) examination.

Endoscopic Ultrasound-guided Radiofrequency Ablation for Upper Gastrointestinal Tract Lesions

The goal of this observational study is to evaluate the long-term clinical effectiveness of EUS-RFA and quality of life in patients with pancreatic or adrenal tumors recieving EUS-RFA. Primary Objectives: * Clinical effectiveness: To evaluate the proportion of included patients who show doc-umented improvement in their clinical symptoms and biochemical parameters (blood test results) over time. * Patient satisfaction: To assess patient satisfaction with the procedure and subsequent disease-related quality of life, measured using validated questionnaires. Secondary Objectives: * Safety: To determine the proportion of treated patients who experience complications, as defined by the AGREE classification, within 30 days after the procedure. * Technical success: To assess the proportion of included patients in whom the EUS-RFA procedure can be successfully completed. Exploratory Objectives: • To identify factors associated with adverse events and factors related to clinical success or lack there of. The study is observational. All participant will receive EUS-RFA as part of their standard clinical care. Participants will: * Undergo EUS-RFA, in which a fine needle is guided into the tumor using an endo-scope and ultrasound imaging. Radiofrequency energy is applied through the needle to heat and destroy tumor cells while protecting the surrounding tissue. * Have follow-up visits including blood tests, imaging scans, and clinical evaluations at regular intervals for up to 5 years after treatment. * Complete validated questionnaires about satisfaction and quality of life. The study will include approximately 138 patients recruited between 2025 and 2035 from two Danish hospital departments (Herlev and Gentofte Hospital and Rigshospitalet). Data collection will continue until 2040 to assess long-term outcomes. This study may help determine whether EUS-RFA can serve as a safe and effective alternative to traditional surgery for selected patients with small hormone-producing or benign tumors in the pancreas or adrenal glands, potentially reducing surgical risks and improving recovery and quality of life.