The objective of this study was to investigate
the impact of image acquisition settings
and patients’ characteristics on image quality
and radiation dose for coronary angiography
by 320-row computed tomography (CT).
CORE320 is a prospective study to investigate
the diagnostic performance of 320-detector CT
for detecting coronary artery disease and associated
myocardial ischemia. A run-in phase in
65 subjects was conducted to test the adequacy
of the computed tomography angiography
(CTA) acquisition protocol. Tube current,
exposure window, and number of cardiac
beats per acquisition were adjusted according
to subjects’ gender, heart rate, and body mass
index (BMI). Main outcome measures were
image quality, assessed by contrast/noise
measurements and qualitatively on a 4-point
scale, and radiation dose, estimated by the
dose-length-product. Average heart rate at
image acquisition was 55.0±7.3 bpm. Median
Agatston calcium score was 27.0 (interquartile
range 1-330). All scans were prospectively triggered.
Single heart beat image acquisition
was obtained in 61 of 65 studies (94%). Sixtyone
studies (94%) and 437 of 455 arterial segments
(96%) were of diagnostic image quality.
Estimated radiation dose was significantly
greater in obese (5.3±0.4 mSv) than normal
weight (4.6±0.3 mSv) or overweight (4.7±0.3
mSv) subjects (P<0.001). BMI was the
strongest factor influencing image quality
(odds ratio=1.457, P=0.005). The CORE320
CTA image acquisition protocol achieved a
good balance between image quality and radiation
dose for a 320-detector CT system.
However, image quality in obese subjects was
reduced compared to normal weight subjects,
possibly due to tube voltage/current restrictions
mandated by the study protocol.
CT angiography, image acquisition, image quality, radiation dose, body mass index, contrast to noise ratio.
Armin Arbab-Zadeh MD PhD, Associate Director, Cardiac CT, Johns Hopkins Hospital, Division of Cardiology, 600N. Wolfe St., Blalock 524, Baltimore, MD 21287, USA. Tel. +1.410.502.0549 – Fax +1.443.287.6624. E-mail: arminzadeh@jhu.edu
2012-01-31T00:00:00
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