To Differentiate Focal Autoimmune Pancreatitis From Pancreatic Cancer by Endoscopic Ultrasound

April 6, 2024 updated by: Tao Guo, Peking Union Medical College Hospital

Construction and Validation of a Diagnosis Model Based on Endoscopic Ultrasound Characteristics for Differentiating Between Focal Autoimmune Pancreatitis and Pancreatic Cancer

Autoimmune pancreatitis (AIP) is a special type of chronic pancreatitis mediated by autoimmunity. The classic manifestation of AIP is diffuse pancreatic enlargement, some of which are characterized by focal enlargement. Clinically, it is divided into diffuse AIP (DAIP) and focal AIP (FAIP) according to morphology. FAIP can be clinically manifested as obstructive jaundice, peripancreatic lymphadenopathy and vascular involvement, which may mimic pancreatic cancer (PC). CT/MRI is the important imaging tool for diagnosing pancreatic diseases. However, due to the overlap of the imaging features of FAIP and PC, it is challenging to differentiate the two by CT/MRI. Endoscopic ultrasound (EUS) can clearly display the pancreatic parenchyma and pancreatic duct system and has become a routine modality for the evaluation of pancreatic diseases. The aim of this study is to construct a diagnosis model for distinguishing between FAIP and PC by comparing the EUS characteristics of the two, and further validate its diagnostic efficacy.

Study Overview

Detailed Description

A derivation sample is established by retrospectively collecting the EUS images of about 100 FAIP patients and about 200 PC patients who were diagnosed for the first time in Peking Union Medical College Hospital in the past 6 years and underwent EUS at the same time. The parenchymal and ductal changes of pancreas were defined according to the Rosemont criteria. The parenchymal characteristics included hyperechoic foci/strands and lobularity, and the ductal changes included main pancreatic duct (MPD) dilation. Other EUS characteristics not included in the conventional criteria were described based on the literatures, including pancreatic diffuse hypoechogenicity, focal hypoechogenicity, pancreatic diffuse enlargement, focal enlargement, peripancreatic hypoechoic margin, common bile duct (CBD) dilation, bile duct wall thickening, lymphadenopathy and vessel involvement. The EUS characteristics of the two groups of patients are included in the multivariate stepwise logistic regression and receiver operating characteristics (ROC) analyses to construct a differential diagnosis model in derivation sample. Further, the differential diagnosis model will be prospectively validated by calculating the sensitivity and specificity in about 90 patients who are going to undergo EUS due to the difficulty in distinguishing between FAIP and PC. Diagnosis of AIP meets the revised Mayo clinic criteria (revised HISORt criteria) including features of histology, imaging, serology, other organs involvement and response to steroid therapy. Diagnosis of pancreatic duct adenocarcinoma is confirmed by surgical pathology or by cytology/histology after EUS-guided fine needle aspiration or biopsy.

Study Type

Observational

Enrollment (Estimated)

600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Beijing
      • Beijing, Beijing, China, 100730
        • Recruiting
        • Peking Union Medical College Hospital
        • Contact:
        • Principal Investigator:
          • Tao Guo, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 75 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

In derivation sample, the patients conclusively diagnosed as FAIP or PC are retrospectively collected.

In validation sample, the patients with difficulty in distinguishing between FAIP and PC are prospectively enrolled. In the end, the patient with a diagnosis that is neither FAIP nor PC and the patient without conclusive diagnosis are withdrawn from the study.

Description

Inclusion Criteria:

  • Patients with difficulty in distinguishing between FAIP and PC

Exclusion Criteria:

  • Referred patients with a history of having being conclusively diagnosed as AIP or PC; Patients with DAIP; Patients with alcoholic pancreatitis, hypertriglyceridemia pancreatitis or pancreatitis due to gallstones; Patients with pancreatic cystic tumors, pancreatic neuroendocrine tumors or solid pseudopapillary tumors of pancreas; Patients who cannot undergo EUS due to unsuitable conditions.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Only
  • Time Perspectives: Other

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Derivation sample
The patients conclusively diagnosed as FAIP or PC are retrospectively collected.
Endoscopic ultrasound was performed.
Validation sample
The patients with difficulty in distinguishing between FAIP and PC are prospectively enrolled.
Endoscopic ultrasound and other imaging modalities such as CT, MRI, or PET-CT are performed.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To construct a diagnosis model for distinguishing FAIP from PC and further validate its efficacy
Time Frame: 1 week after the diagnosis is conclusive

Score is assigned to each predictor based on the odd ratio (OR) value, individual risk is estimated based on the sum of weighted score for each predictor and optimal cut-off point is obtained based on receiver operating characteristic (ROC) analysis.

Sensitivity and specificity were used to assess the diagnostic efficacy.

1 week after the diagnosis is conclusive

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Compare the efficacy of EUS based on the model with that of CT/MRI/PET-CT in differentiating between FAIP and PC
Time Frame: 1 week after the diagnosis is conclusive
Sensitivity and specificity were used to assess the diagnostic efficacy
1 week after the diagnosis is conclusive

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 11, 2021

Primary Completion (Estimated)

September 1, 2024

Study Completion (Estimated)

March 1, 2025

Study Registration Dates

First Submitted

April 4, 2021

First Submitted That Met QC Criteria

April 4, 2021

First Posted (Actual)

April 8, 2021

Study Record Updates

Last Update Posted (Actual)

April 9, 2024

Last Update Submitted That Met QC Criteria

April 6, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The protocol of the study is private.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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