Active clinical trials for "Pancreatic Cyst"

Researchers have developed a new test to measure a protein QSOX1 that is found to be elevated in subjects with pancreas cancer. Researchers are looking to use this test to compare subjects with pancreas cancer and subjects without pancreas cancer to see if this test could be used to diagnosis pancreas cancer.

It is still controversial about the necessity of endoscopy ultrasound guide fine needle aspiration (EUS-FNA) on diagnosis of pancreatic cystic lesions(PCL).The aim of this study is to find the influence of EUS-FNA on diagnosis and suggestions of EUS specialists.

The purpose of this research project is to determine if pancreatic cyst fluid can be diluted and provide an accurate Carcinoembryonic Antigen (CEA) level. The investigators hypothesis is that pancreatic cyst fluid obtained by EUS-FNA can be diluted effectively and accurately for the measurement of CEA levels.

The purpose of this study is to assist with early and accurate diagnosis of cancer in pancreatic cysts based on the analysis of DNA obtained by endoscopic ultrasound guided fine needle aspiration

This study aims to establish abbreviated PB MRI protocol for patients on regular imaging follow-up for pancreas cystic neoplasm.

We aim to evaluate the role of Ultrasound-guided (USG) fine needle aspiration cytology (FNAC) in diagnosis of pancreatic masses compared to endoscopic ultrasound (EUS) guided fine needle aspiration cytology (FNAC).

This study focuses on four different lesions: pancreatic cysts, lymph nodes near the gastrointestinal tract, pancreatic masses and GIST tumors. On one hand, the results obtained during previous studies are more advanced for the assessment of the diagnostic performance of Cellvizio needle-based Confocal Laser Endomicroscopy (nCLE) system for Pancreatic cysts. Safety and technical feasibility have already been performed, and an interpretation criteria classification exists. On the other hand, results for pancreatic masses, Lymph nodes and GIST are less developed. the objectives of the study are to Assess the diagnostic performance of the Cellvizio needle-based Confocal Laser Endomicroscopy (nCLE) system in diagnosing masses and cystic tumors of the pancreas, lymph nodes, submucosal lesions of the GI tract Define/Validate descriptive criteria of nCLE sequences in masses and cystic tu-mors of the pancreas, lymph nodes, submucosal lesions of the GI tract

This study focuses on three different lesions: pancreatic cysts, lymph nodes near the gastrointestinal tract and pancreatic masses. On one hand, the results obtained during previous studies are more advanced for the assessment of the diagnostic performance of Cellvizio needle-based Confocal Laser Endomicroscopy (nCLE) system for Pancreatic cysts. Safety and technical feasibility have already been performed, and an interpretation criteria classification exists. On the other hand, results for pancreatic masses and Lymph nodes are less developed. The study therefore comprises two sub-studies, one on the pancreatic cysts, and another on pancreatic masses and lymph nodes. Cysts The primary hypothesis of the study is that using nCLE in addition to EUS-FNA and tissue sampling allows better characterization of pancreatic cysts and improves appropriate therapeutic decision-making. For physicians, integrating nCLE into the diagnostic algorithm of pancreatic cysts could impact patient management by : Ruling out malignancy for patients with benign appearing nCLE images. Characterizing more malignant tumors in the pancreas. Pancreatic masses and Lymph nodes The primary hypothesis of the study is that in vivo imaging of lymph-nodes near the gastrointestinal tract and pancreatic masses during EUS-FNA procedures is feasible and that descriptive criteria can be defined to further differentiate the different types of lesions.

This study aims to find a correlation between cytokines levels and malignancy potential of different cystic types.

The goal of this study is to compare a sample of the cyst taken by a standard method (fine needle aspiration) to the sample taken by a new method using a device called the EchoBrush to see which method is more accurate at diagnosing cancer. We will also look at proteins (also called biomarkers) in the samples to see if they predict whether or not the cyst is cancerous.