2021-05-11
2024-09-30
2025-03
600
NCT04834505
Peking Union Medical College Hospital
Peking Union Medical College Hospital
OBSERVATIONAL
To Differentiate Focal Autoimmune Pancreatitis from Pancreatic Cancer by Endoscopic Ultrasound
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.
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.
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 Registration Dates | Results Reporting Dates | Study Record Updates |
---|---|---|
2021-04-04 | N/A | 2024-10-28 |
2021-04-04 | N/A | 2024-10-30 |
2021-04-08 | N/A | 2024-10 |
This section provides details of the study plan, including how the study is designed and what the study is measuring.
Primary Purpose:
N/A
Allocation:
N/A
Interventional Model:
N/A
Masking:
N/A
Arms and Interventions
Participant Group/Arm | Intervention/Treatment |
---|---|
: Derivation sample The patients conclusively diagnosed as FAIP or PC are retrospectively collected. | OTHER: EUS for derivation sample
|
: Validation sample The patients with difficulty in distinguishing between FAIP and PC are prospectively enrolled. | OTHER: Diagnostic imaging modalities for validation sample
|
Primary Outcome Measures | Measure Description | Time Frame |
---|---|---|
To construct a diagnosis model for distinguishing FAIP from PC and further validate its efficacy | 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 | 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 | Sensitivity and specificity were used to assess the diagnostic efficacy | 1 week after the diagnosis is conclusive |
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact Name: Tao Guo, MD Phone Number: 8610-69155017 Email: guoqiong990@126.com |
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.
Ages Eligible for Study:
ALL
Sexes Eligible for Study:
Accepts Healthy Volunteers:
This is where you will find people and organizations involved with this study.
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General Publications
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