Synopsis
The aim of our study was to determine
the test characteristics of an MRI protocol consisting of unenhanced,
contrast-enhanced, and DWI to diagnose appendicitis. This was a prospective
study including patients ≥12 years old being evaluated for appendicitis. We
enrolled 226 patients; all images were interpreted by three fellowship-trained
abdominal radiologists. Sensitivity and specificity (95% CI) were 95.2% (86.5-99%)
and 89.4% (83.2-94%) for unenhanced MRI with DWI, 96.8% (89-99.6%) and 89.9% (83.7-94.4%)
for CE-MRI, and 98.4% (91.6-100%) and 93.7% (88.3-97.1%) for CE-CT. We conclude
that this MRI protocol is as accurate as CE-CT to diagnose appendicitis.PURPOSE
CT is very accurate for the diagnosis of
appendicitis,
1 however, it exposes patients to
ionizing radiation and iodinated contrast, which can cause significant adverse
events.
2 Alternatively, MRI has neither of these
limitations. The purpose of this work is to determine the accuracy of a novel
MRI protocol including unenhanced, contrast-enhanced, and diffusion-weighted
imaging to diagnose appendicitis, using a combination of surgical and
pathological findings and clinical follow up as the reference standard.
METHODS
This is a HIPAA-compliant, IRB-approved
prospective study of a convenience sample of patients presenting with abdominal
pain to the emergency department of an academic medical center. Patients were
eligible for enrollment if they were over 11 years old and had CT imaging ordered
to evaluate for possible appendicitis. Patients underwent CT and MR imaging
serially, within approximately 1 hour of each other.
CT scans of the abdomen and pelvis were
performed using a 64 x 0.625 detector configuration 64 slice multi-detector CT
(VCT, GE Healthcare, Waukesha, WI) following oral contrast and IV iohexol
(Omnipage-300, GE Healthcare, London, UK) administration in the portal venous
phase. Size-specific protocols for small, medium, and large body habitus ranged
from 100-140 kVp, NI = 15-21, and Smart mA with mA range =
30-600. Images were reconstructed with 5 mm slice thickness at 3 mm
intervals using a 40% ASIR blend in the axial, sagittal, and coronal planes.
MRI was performed on clinical 1.5T
scanners (Signa HDxt CRM or TwinSpeed, Discovery MR450w) using an 8-channel
body phased array coil. For contrast-enhanced T1w imaging, 0.1mmol/kg of
gadobenate dimeglumine was administered at 2ml/s, followed by a 20ml saline flush
injected at the same rate. Example images are shown in Figure 1. The MR
protocol consisted of the following sequences:
1.
T2w-SSFSE
with (axial) and without fat-suppression in axial, coronal, and sagittal planes
with the following imaging parameters: 320 x 256 matrix, 36cm FOV, 4mm slice/0mm gap,
TR/TE=min/80ms, BW=±83kHz, and ARC
parallel imaging (R=2) to minimize blurring.
2.
3D
T1w fat-suppressed spoiled gradient echo images (LAVA) acquired during a 22s
breath-hold, prior to contrast (axial), 40s after contrast (axial), 90s after
contrast (coronal) and 3min after contrast (axial), with the following imaging
parameters: 256 x 192 x 100 matrix, 256 x 192, 38cm x 30cm FOV, 3mm slice
thickness, TR/TE=3.6/1.7, ARC parallel imaging (R=2.75).
3.
Diffusion-weighted
imaging (DWI) in the axial plane with the following imaging parameters: 128 x
128 matrix, 35cm FOV, 5mm slice/1mm gap, and b=50, b=500 (8 signal averages),
acquired using respiratory triggering.
Three fellowship-trained abdominal
radiologists, blinded to the original CT read, interpreted all MR and CT images
independently and in random order, using a standardized data collection form.
Multiple parameters were documented for each image set including
characteristics of the appendix (size, location, etc), the likelihood of
appendicitis, and the time required to interpret the images. Follow-up
consisted of a chart review for pathological/surgical findings for patients who
underwent appendectomy and follow-up phone interview with chart review for all
others.
Continuous variables were summarized
with descriptive statistics including 95% confidence intervals. Receiver operating
characteristic (ROC) curve analysis for the likelihood of appendicitis are
reported with area under the curve (AUC). Regression analysis was also
performed to demonstrate the value of individual imaging characteristics when
evaluating for appendicitis.
RESULTS
We enrolled 226 patients from 2/2012 to
8/2014 though images from the first 20 patients were used as a training set for
our study readers and were therefore excluded from analysis, leaving CT and MR
images from 206 patients for our final analysis. Of this cohort, there were 118
women (57%), the mean age was 31.6 years (range 13-75), and the prevalence of
appendicitis was 31.1%. Summary test characteristics are listed in Table 1. ROC
and AUC are shown in Figure 2. Mean total interpretation times were 4.3 minutes
for MR and 2.1 minutes for CT. Increased DWI signal, appendiceal wall
thickening, and periappendiceal inflammation had the greatest predictive power
for the presence of appendicitis (Table 2).
DISCUSSION
We found that the accuracy of this
contrast-enhanced MRI protocol for suspected appendicitis in the general
population is non-inferior to that of CE-CT. This study is also novel for
several reasons: 1) the general population was studied rather than targeted
populations (e.g. pregnant women), 2) all patients underwent both CT and MRI,
allowing for direct comparison of the two technologies, and 3) this MRI
protocol incorporates both intravenous contrast enhancement and DWI.
CONCLUSION
We suggest that this MRI protocol is a
suitable primary test for diagnosing appendicitis, though a prospective, multi-center
study would more definitely prove this.
Acknowledgements
The authors acknowledge the support of
the NIH (UL1TR00427), GE Healthcare, and our department’s R&D fund. We also
would like to thank all of the MRI technologists who assisted with this study.References
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PJ, Lawrence EM, Pooler BD, Bruce RJ. Diagnostic performance of multidetector
computed tomography for suspected acute appendicitis. Ann Intern Med.
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