Serous Cystadenoma

2

Review clinical trials related to Serous Cystadenoma. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Recruiting

Assessment of the Usefulness of SMI (Superb Vascular Imaging) for the Characterisation of Pancreatic Cystic Tumours (IMAKYST)

A cystic lesion is an abnormal cavity formed within tissue or an organ, which may contain a liquid, semi-solid or gaseous substance. There are different types of pancreatic cystic lesions: lesions that may become cancerous and completely benign lesions that do not require monitoring, such as serous cystadenomas (SCs) and pseudocysts. Diagnostic difficulties mean that one in three patients with a SC undergoes unnecessary surgery with significant morbidity and mortality (risk of death). Currently, needle-based confocal laser endomicroscopy (nCLE) is the gold standard technique for the diagnosis of SC. SC is a lesion characterised by an extensive network of small blood vessels present in all the cyst walls and throughout the cyst's peripheral capsule. SMI (Superb Vascular Imaging) is a new ultrasound mode that improves the visibility of blood flow in the vessels without the injection of contrast medium (a diagnostic agent used for certain medical imaging examinations, most often administered intravenously), unlike nCLE. The Mermoz Endoscopy Centre will be equipped with an ultrasound console enabling SMI to be performed during an echoendoscopy examination. This technology is now available on the new EUS Aplio i800 console (Canon-Olympus), which is CE marked. To date, no data has been published on the potential of SMI to characterise and diagnose CS. This is why this clinical investigation is being conducted.

Participants needed: 60
Trial details
Age: 18+Biological sex: AllType: InterventionalSponsor: GCS Ramsay Santé pour l'Enseignement et la RechercheUpdated: Jun 18, 2026Locations: 1
Eligibility criteria

Patient referred for confocal microscopy (nCLE) assessment of a pancreatic cyst... [+3]

Patient with calcifying chronic pancreatitis [+7]

Status: Recruiting

Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data

The primary objective is to construct a multimodal AI model (Cyst-AI) based on EUS images and clinical data such as imaging features(CT or MRI) and laboratory tests to assist endoscopists in the diagnosis of pancreatic cystic lesions(PCLs), mainly differentiating mucinous from non-mucinous lesions. The secondary objective is to evaluate the model's effectiveness in risk stratification and clinical management for patients with PCLs.

Participants needed: 500
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Huazhong University of Science and TechnologyUpdated: Mar 11, 2026Locations: 2
Eligibility criteria

Patients whose EUS results indicates pancreatic cystic or cystoid lesions; [+2]

Patients whose age is less than 18 years old; [+6]