NCT03320733

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
46

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Jul 2018

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

September 19, 2017

Completed
1 month until next milestone

First Posted

Study publicly available on registry

October 25, 2017

Completed
8 months until next milestone

Study Start

First participant enrolled

July 1, 2018

Completed
5.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 30, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 30, 2023

Completed
Last Updated

March 12, 2024

Status Verified

March 1, 2024

Enrollment Period

5.4 years

First QC Date

September 19, 2017

Last Update Submit

March 8, 2024

Conditions

Keywords

dual energy CT

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

EXPERIMENTAL

Includes 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.

Diagnostic Test: Dual energy CT scan with subtraction imaging

Surveillance

EXPERIMENTAL

Includes 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.

Diagnostic Test: Dual energy CT scan with subtraction imaging

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.

SurgicalSurveillance

Eligibility Criteria

Age40 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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

Location

MeSH Terms

Conditions

Pancreatic Cyst

Condition Hierarchy (Ancestors)

CystsNeoplasmsPancreatic DiseasesDigestive System Diseases

Study Officials

  • Luis Guimaraes, MD

    University of Toronto, Department of Medical Imaging

    PRINCIPAL INVESTIGATOR

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

Locations