Determination of Pancreatic Steatosis Prevalence and Correlation With High-risk Cyst Features
NCT ID: NCT05334836
Last Updated: 2025-08-11
Study Results
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Basic Information
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RECRUITING
NA
236 participants
INTERVENTIONAL
2022-04-06
2026-04-30
Brief Summary
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Due to the deep-seated location of pancreas, it is difficult to diagnose pancreatic cancer at an early stage, which in turn leads to delays in cancer treatment and poorer survival. Despite advances in oncologic treatment, the 5-year survival rate of metastatic pancreatic cancer remains poor (\~2.9%). As such, there has been growing interest to improve pancreatic cancer prevention and survival by:
1. reduction of modifiable risk factors (eg, cigarette smoking, obesity, diabetes),
2. screening for early detection of high-risk pre-malignant lesions in selected high-risks patients with strong family history of pancreatic cancer and/or certain germline mutations of pancreatic cancer susceptibility genes (eg, BRCA1, BRAC2, DNA mismatch repair genes in Lynch Syndrome, etc) by magnetic resonance imaging (MRI) or endoscopic ultrasound (EUS), and
3. surveillance of pre-malignant precursor lesions such as mucinous pancreatic cystic neoplasms (PCN) by imaging and/or EUS to identify high-risk neoplastic progression indicated for surgical resection.
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Detailed Description
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Due to the deep-seated location of pancreas, it is difficult to diagnose pancreatic cancer at an early stage, which in turn leads to delays in cancer treatment and poorer survival. Despite advances in oncologic treatment, the 5-year survival rate of metastatic pancreatic cancer remains poor (\~2.9%). As such, there has been growing interest to improve pancreatic cancer prevention and survival by:
1. reduction of modifiable risk factors (eg, cigarette smoking, obesity, diabetes),
2. screening for early detection of high-risk pre-malignant lesions in selected high-risks patients with strong family history of pancreatic cancer and/or certain germline mutations of pancreatic cancer susceptibility genes (eg, BRCA1, BRAC2, DNA mismatch repair genes in Lynch Syndrome, etc) by magnetic resonance imaging (MRI) or endoscopic ultrasound (EUS), and
3. surveillance of pre-malignant precursor lesions such as mucinous pancreatic cystic neoplasms (PCN) by imaging and/or EUS to identify high-risk neoplastic progression indicated for surgical resection
The prevalence of incidentally found pancreatic cystic lesions ranges from 2.1% to 13.5% in patients undergoing CT or MRI for non-pancreatic indications. In patients with pre-malignant mucinous PCN (intraductal papillary mucinous neoplasms (IPMN) and mucinous cystic neoplasms (MCN)), pancreatic cancer can originate from the pre-malignant PCN, or develop in other parts of the pancreas uninvolved by the original PCN due to "field-defect". While the malignant potentials of different PCNs vary, the frequency of invasive carcinoma and high-grade dysplasia in IPMN remains substantial, ranging from 36-100% in the main duct type (MD-IPMN) and from 14-48% in the branch duct type (BD-IPMN).
Multiple consensus guidelines and society guidelines have been developed based on cyst structural characteristics and cyst related symptoms to guide management between surgical resection or surveillance of pre-malignant PCN. The 2017 revised international consensus guidelines (Fukuoka guidelines) recommend surgical resection for all MD-IPMN and BD-IPMN with high-risk stigmata of malignancy or worrisome features confirmed by EUS (definite mural nodule \> 5mm, main pancreatic duct involvement (dilation / abrupt change in calibre), cytology suspicious or positive for malignancy on EUS guided fine needle aspiration). On the other hand, surveillance of asymptomatic BD-IPMN without high-risk stigmata or worrisome features would be performed with cross-sectional imaging and/or EUS periodically, with intervals tailored to the size of the BD-IPMN.
Although the consensus guidelines and society guidelines have been widely applied in clinical practice, considerable variations in their sensitivity, specificity, positive and negative predictive values in predicting advanced neoplasia (high-grade dysplasia and invasive cancer) in pre-malignant PCN were reported in validation studies. As such, false-positive (recommending patients with low-risk PCN for a major surgery with considerable risks of morbidity/ mortality) or false-negative (missing a high-risk PCN with indication for surgery to prevent cancer development) prediction of malignant progression of mucinous PCN can still occur with significant clinical ramification. In addition, while cyst structural characteristics are traditional risk factors for neoplastic progression of PCN, these are not easily modifiable unless invasive procedures such as surgical resection or cyst ablation is performed. Therefore, it is of clinical importance to identify novel risk factors in pancreas that are potentially modifiable and may improve the current risk stratification algorithm for detection of high-risk lesions.
Pancreatic steatosis is an increasingly recognized important metabolic condition with a prevalence of 16% to 35% in Asian populations. Recent retrospective studies have suggested an increased risk of pancreatic cancer, IPMN and progression of BD-IPMN in patients with pancreatic steatosis. However, despite its potential role as a modifiable risk factor for pancreatic cancer and progression of pre-malignant PCN such as IPMN, the actual prevalence of pancreatic steatosis in patients with PCN is not known.
While ultrasound, CT and MRI have been used for fat quantitation in organs, MRI is best suited for this purpose since its signal is dependent on fat content. In contrast to fat content assessment by ultrasound in which interobserver variability may undermine its reliability, the fat fraction measurements by MRI are reproducible and accurate, and have been validated against histology in animal models. In addition, MRI also has an advantage over CT since there is no risk of radiation exposure.
Previous work by our group has defined the normal range of fat content in pancreas (1.8% -10.4%) in the healthy Hong Kong population using MRI for fat quantification. The prevalence of fatty pancreas in healthy volunteers was found to be 16.1% when a pancreatic fat upper limit of normal of 10.4% was adopted. Our group has also shown that patients with fatty liver do not always have fatty pancreas. Among the 195 patients with fatty liver in our prior study, 82/195 (42.1%) had both fatty liver and fatty pancreas and 113/195 (57.9%) had fatty liver alone. Such observation suggested that pancreatic steatosis is likely a separate metabolic condition that deserves further investigation for its potential impact on important pancreatic pathologies such as pre-malignant PCN (eg, IPMN) and pancreatic cancer.
Because little is known about the prevalence of pancreatic steatosis in patients with PCN, we would like to propose a prospective, matched case-control study to determine the prevalence of pancreatic steatosis using MRI in patients with presumed IPMN or MCN and compare with that of age and sex matched healthy subjects in the general population.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Pancreatic cystic lesion subjects
Patients with at least 1 pancreatic cystic lesion presumed to be IPMN or MCN based on CT, MRI or EUS features, with a cyst size ≥ 5mm
MRI for pancreatic fat and liver fat quantitation
MR imaging would be performed using a 3.0 T scanner (Achieva X series, Philips Healthcare, Best, The Netherlands) with a 16-channel SENSE-XL-Torso array coil. 3D spoiled chemical-shift water-fat mDixon sequence (TR = 5.7 ms, first TE/echo spacing = 1.2-1.4 (ms)/1.0-1.2 (ms), number of echoes = 6, flip angle = 3°, SENSE acceleration = 2, a breath hold technique would be employed to acquire co-registered water, fat, fat-fraction and T2\* image series and would be reconstructed with slice thickness/number of slices = 3.0 mm/50. The field of view (FOV) covered the upper abdomen, i.e. region from the dome of the diaphragm to the iliac crest covering the entire extent of the liver and pancreas. Image reconstruction would be completed online using Philips mDixon product implementation with the multi-peak spectral model of fat to increase accuracy and sensitivity.
Healthy subjects
Healthy subjects
MRI for pancreatic fat and liver fat quantitation
MR imaging would be performed using a 3.0 T scanner (Achieva X series, Philips Healthcare, Best, The Netherlands) with a 16-channel SENSE-XL-Torso array coil. 3D spoiled chemical-shift water-fat mDixon sequence (TR = 5.7 ms, first TE/echo spacing = 1.2-1.4 (ms)/1.0-1.2 (ms), number of echoes = 6, flip angle = 3°, SENSE acceleration = 2, a breath hold technique would be employed to acquire co-registered water, fat, fat-fraction and T2\* image series and would be reconstructed with slice thickness/number of slices = 3.0 mm/50. The field of view (FOV) covered the upper abdomen, i.e. region from the dome of the diaphragm to the iliac crest covering the entire extent of the liver and pancreas. Image reconstruction would be completed online using Philips mDixon product implementation with the multi-peak spectral model of fat to increase accuracy and sensitivity.
Interventions
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MRI for pancreatic fat and liver fat quantitation
MR imaging would be performed using a 3.0 T scanner (Achieva X series, Philips Healthcare, Best, The Netherlands) with a 16-channel SENSE-XL-Torso array coil. 3D spoiled chemical-shift water-fat mDixon sequence (TR = 5.7 ms, first TE/echo spacing = 1.2-1.4 (ms)/1.0-1.2 (ms), number of echoes = 6, flip angle = 3°, SENSE acceleration = 2, a breath hold technique would be employed to acquire co-registered water, fat, fat-fraction and T2\* image series and would be reconstructed with slice thickness/number of slices = 3.0 mm/50. The field of view (FOV) covered the upper abdomen, i.e. region from the dome of the diaphragm to the iliac crest covering the entire extent of the liver and pancreas. Image reconstruction would be completed online using Philips mDixon product implementation with the multi-peak spectral model of fat to increase accuracy and sensitivity.
Eligibility Criteria
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Inclusion Criteria
2. Patients with at least 1 pancreatic cystic lesion presumed to be IPMN or MCN based on CT, MRI or EUS features, with a cyst size ≥ 5mm; or healthy subjects.
3. Patients who are able to provide written informed consent to participate in the study and comply with the study procedures.
Exclusion Criteria
2. Patients with metallic implants or other contraindications to MRI
3. Patients with contraindications for endoscopy due to comorbidities
4. Patients with known pancreatic cancer or prior pancreatic resection
5. Patients with significant alcohol consumption, defined as alcohol intake of over 20 g daily (140 g weekly) for men and 10 g daily (70 g weekly) for women
18 Years
ALL
Yes
Sponsors
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Chinese University of Hong Kong
OTHER
Responsible Party
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Raymond Shing Yan Tang
Assitant Professor
Principal Investigators
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Raymond S Tang, MD
Role: PRINCIPAL_INVESTIGATOR
Chinese University of Hong Kong
Locations
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Prince of Wales Hospital, The Chinese University of Hong Kong
Shatin, New Territories, Hong Kong
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2021.636
Identifier Type: -
Identifier Source: org_study_id
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