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Early Detection of Pancreatic Cystic Neoplasms

Early Detection of Pancreatic Cystic Neoplasms

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02110498
Enrollment
3000
Registered
2014-04-10
Start date
2014-03-01
Completion date
2025-03-01
Last updated
2026-03-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cystic, Mucinous and/or Serous Neoplasm, Intraductal Papillary Mucinous Neoplasm, Pancreatic Cysts, Pancreatic Mucinous-Cystic Neoplasm, Solid Pseudopapillary Tumour of the Pancreas

Keywords

Pancreatic cyst, IPMN, SCA, SPN, MCN, pancreatic cystic neoplasm

Brief summary

This research is being done to learn more about pancreatic cysts. The tests that are currently available are imperfect at determining exactly what type of pancreatic cyst a person has, which cysts contain cancer, or what the risk is of developing cancer in the future. The aim of this study is to use a combination of clinical, imaging, cyst fluid analysis, and molecular markers to try to help develop better tools to answer these questions.

Detailed description

Incidental pancreatic cysts are increasingly recognized due to the widespread use of cross-sectional imaging techniques such as CT and MRI. A number of lesions in the pancreas can form cysts, including serous cystadenomas (SCA), mucinous cystic neoplasms (MCNs), intraductal papillary mucinous neoplasms (IPMNs), solid-pseudopapillary neoplasms (SPNs), and pseudocysts. SCAs and pseudocysts are considered benign; whereas SPNs are considered malignant and require surgical resection. IPMNs and MCNs are considered neoplasms with malignant potential, although the exact risk of malignant progression of these cysts is unknown. Currently, MCN are all surgically resected, whereas IPMN are resected if they have features suspicious for malignancy. However, current diagnostic tests cannot always reliably distinguish harmless from potentially harmful cysts. Recent studies conducted at Johns Hopkins have shown that each cyst type has unique genetic features that could be used as diagnostic biomarkers. In this study, clinical, imaging data and cyst fluid analysis of individuals with pancreatic cysts will be collected. In patients who undergo an endoscopic ultrasound (EUS) procedure, if a fine needle aspiration (EUS-FNA) is performed, and there is extra cyst fluid left after standard clinical tests have been sent, the extra cyst fluid will be submitted for molecular marker analysis. If an individual undergoes surgery to remove the cyst, cyst fluid will be collected after the cyst has been removed. In addition, a small amount of blood will be collected at the time of the EUS or surgical procedure. AIMS: The general aim is to propose and prospectively validate a diagnostic approach and model for prediction of mucinous versus non-mucinous, and malignant versus non-malignant, pancreatic cysts using a combination of clinical, radiologic, and biomarker characteristics.

Interventions

None listed

Sponsors

Johns Hopkins University
Lead SponsorOTHER
Lustgarten Foundation
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adult patients age 18 years and older with pancreatic cyst.

Exclusion criteria

* Individuals with ASA class 4 or greater. * Inability to provide informed consent. * Pregnancy or lactation.

Design outcomes

Primary

MeasureTime frame
To develop and prospectively validate a panel of molecular markers to differentiate benign pancreatic cysts from those with malignant potential using surgical pathology as the gold standard3 years

Secondary

MeasureTime frameDescription
To determine the sensitivity, specificity, and overall accuracy of imaging (CT, MRI and EUS) in patients with pancreatic cysts3 yearsSensitivity and specificity of imaging results in identifying malignant and mucinous cysts will be calculated using the pathology result as the reference gold standard. The overall accuracy of the imaging results, defined as percent agreement with pathology, will also be calculated. Estimates will be reported with exact binomial 95% confidence intervals.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORAnne Marie O'Broin-Lennon, MD, PhD

Johns Hopkins University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 3, 2026