Crohn's Disease Clinical Trial
Official title:
Dual Energy Computerized Tomography (DE-CT) for Evaluation of Obstructive Intestinallesions in Patients With Crohn's Disease
This study aims to evaluate the accuracy of dual energy computerized tomography (DE-CT) in
predicting the need for surgery in patients with Crohn's disease and intestinal lesions with
obstructive symptoms.
Patients with known Crohn's disease which were scheduled to perform abdominal CT for
obstructive symptoms preformed it in a dual energy protocol and then followed for an outcome
of surgery. DE-CT parameters were then compared between patients who underwent surgery and
those who did not.
INTRODUCTION Intestinal strictures are common in patients with Crohn's (CD) disease and may
result in intestinal obstruction. Current available imaging studies can usually identify and
locate the stricture, but can not reliably differentiate the patients who will require
surgery from those who will respond to medical therapy.
Dual Energy computerized tomography (DE-CT) uses two energy sources using high and low tube
voltage, thus creating two data sets. Dedicated software creates overlay of the low and high
energy images, in which enhancement of tissues with iodine can be better appreciated and
quantified compared to standard CT. The investigators hypothesize that dual energy can
better visualize the iodine uptake in bowl wall as a marker of inflammation within
intestinal lesions, and may help in identifying the patients who will or will not require
surgery.
AIM To evaluate the efficacy of DE-CT studies in predicting need for surgery within 3
months.
METHODS Patients with known CD undergoing abdominal CT for possible obstructive presentation
prospectively underwent a DE-CT using intravenous iodinated contrast material, and were
followed for 3 months for an outcome of surgery.
The DE-CT was interpreted by a radiologist blinded to the clinical outcome, and the
attending physicians of the patients were blinded to the interpretation of the DE-CT. DE-CT
parameters were then compared between patients who underwent surgery and those who did not.
Receiver operating characteristic (ROC) curve analysis was used to find the optimal cut off
point to distinguish between patients which did or did not eventually underwent surgery.
Based on the cut off points found from the ROC analysis, the negative and positive
predictive values were calculated.
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Observational Model: Cohort, Time Perspective: Prospective
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