Comparison Between Dual Energy/Subtraction CT With MRI for the Identification of Predictors of Malignancy in Cystic Pancreatic Lesions
Comparison of Volume-Mode 2-Rotation kV-mA Switching Dual Energy Computer Tomography (CT) and of CT Subtraction Imaging With Magnetic Resonance Imaging for the Identification of Enhancing Septa and Mural Nodules in Cystic Pancreatic Lesions
1 other identifier
interventional
46
1 country
1
Brief Summary
Cystic pancreatic lesions are increasingly detected incidentally in imaging studies, reportedly in up to 45% of the abdominal Magnetic Resonance (MR) examinations. The majority of these lesions have potential to become cancer, therefore requiring surgery or imaging follow-up to monitor the development of features indicative of malignant transformation. Abdominal MR is the current standard of care for the follow-up of pancreatic cysts (PCs). However, MR is expensive and access is limited, In our institution, more than 35 MR studies for assessment of PCs were performed each month in 2015, placing a significant burden on the health care system that includes contributing to longer MR wait times for other indications. The investigators will compare MR to two new computed tomography (CT) techniques - dual energy CT (DECT) and Subtraction imaging - with regards to their ability to detect features associated with increased risk of malignancy (enhancing septa and mural nodules) in PCs. For cases where there is disagreement between these 2 CT techniques and MR, histopathology of the surgical specimen or the results of Endoscopic Ultrasound (EUS) will serve as reference standard. Using DECT or Subtraction instead of MR for the assessment and follow-up of PCs would save significant healthcare costs and MR slots, which could be released to other indications and to reduce waiting times. Furthermore, if DECT and/or Subtraction imaging end up demonstrating to be superior to MR for this purpose, patients with cystic pancreatic lesions could have a direct benefit.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jul 2018
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 19, 2017
CompletedFirst Posted
Study publicly available on registry
October 25, 2017
CompletedStudy Start
First participant enrolled
July 1, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 30, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
November 30, 2023
CompletedMarch 12, 2024
March 1, 2024
5.4 years
September 19, 2017
March 8, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Sensitivity
Sensitivity of Dual Energy CT in prediction of malignancy for pancreatic cysts \> 1cm.
2 years
Specificity
Specificity of Dual Energy CT in prediction of malignancy for pancreatic cysts \> 1cm.
2 years
Positive predicative value
Positive predicative value (PPV) of Dual Energy CT in prediction of malignancy for pancreatic cysts \> 1cm.
2 years
Negative predicative value
Negative predicative value (NPV) of Dual Energy CT in prediction of malignancy for pancreatic cysts \> 1cm.
2 years
Secondary Outcomes (2)
Parameters optimization HU
2 years
Parameters optimization keV
2 years
Study Arms (2)
Surgical
EXPERIMENTALIncludes patients who will undergo surgery for their pancreatic cysts. In addition to the routine pre-operative CT abdomen performed for surgical planning purposes, these patients will receive Dual Energy CT scan with subtraction imaging before surgery.
Surveillance
EXPERIMENTALIncludes patients who are undergoing surveillance for their pancreatic cysts. Dual Energy CT scan with subtraction imaging will be performed in addition to the standard-of-care surveillance method of MRI scans.
Interventions
The single source V2R kmAS dual energy CT system has several theoretical advantages compared, such as perfectly matched X-ray paths and the possibility of performing dual-energy processing using projection data. Subtraction imaging is an accurate deformable registration algorithm that allows creation of iodine maps from matched pre- and post-contrast acquisitions. This algorithm can be applied to both single and dual energy CT.
Eligibility Criteria
You may qualify if:
- Patients of all ethnic groups older than 40 years old
- Cystic pancreatic lesions larger than 1 cm documented by MR
- Scheduled for surgery (Group 1) or undergoing surveillance (Group 2) for a pancreatic cyst by a hepatobiliary surgeon at UHN (University Health Network)
You may not qualify if:
- Patients with contraindication for contrast-enhanced CT or MRI
- Pregnancy
- Patients who do not consent to the study
- Patients younger than 40 years old or with pancreatic cysts less than 1 cm
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Toronto, Department of Medical Imaging
Toronto, Ontario, M5G 2N2, Canada
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Luis Guimaraes, MD
University of Toronto, Department of Medical Imaging
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 19, 2017
First Posted
October 25, 2017
Study Start
July 1, 2018
Primary Completion
November 30, 2023
Study Completion
November 30, 2023
Last Updated
March 12, 2024
Record last verified: 2024-03
Data Sharing
- IPD Sharing
- Will not share