The medical community and mass media have publicized risks of radiation exposure from CT. It is possible to balance the requirements of maximizing image resolution while minimizing radiation dose. In this article, the authors provide practical recommendations for reducing CT radiation from neuroradiologic imaging.
Dr. Buckingham
is a Fellow and
Dr. Strother
is an Assistant Professor of Neuroradiology, Department of
Radiology, Vanderbilt University Medical Center, Nashville,
TN.
In November 2007, the
New York Times
reported, "Millions of Americans, especially children, are
needlessly getting dangerous radiation from 'super X-rays' that
raise the risk of cancer and are increasingly used to diagnose
medical problems…." This headline is inflammatory; but the core
message, coming from the medical community and echoed in the media,
is that radiation should be minimized. Success in minimizing
radiation will require a multifaceted approach, with a collective
effort from radiologists, referring clinicians, and computed
tomography (CT) manufacturers. In this article, we provide
practical recommendations for reducing CT radiation from
neuroradiologic imaging.
Measuring risk
Radiation risks are both stochastic and deterministic.
Deterministic effects, such as radiation burns or cataracts, are
easy to document and therefore predict. With 0.5 to 2 Gy dose to
the lens, for example, patients are at risk for cataracts.
1
Stochastic effects, such as cancer, are much more difficult to
predict. They may or may not occur, after a long delay, at a rate
nearly imperceptible above baseline, with or without a threshold
dose. It is impossible to speak definitively about these risks-an
uncertainty that has hampered efforts at risk reduction. Fears
regarding stochastic effects are driving the current wave of alarm
regarding CT. Because stochastic effects generally occur years
after radiation exposure, pediatric patients are at the greatest
risk. Pediatric patients' risks are also higher than adult
patients' risks because of the proportion of rapidly dividing-and
therefore radiosensitive-cells in children. For this reason,
efforts at CT dose reduction should start with pediatric
patients.
With multidetector CT (MDCT), several parameters are important
for understanding radiation dose. Dose efficiency is a measure of
how much of the irradiated tissue is included in the final images.
With poor efficiency, significant radiation extends beyond the
boundary of the imaged area to the area called the penumbra. Thus
collimation affects radiation dose. Whereas with a single detector,
collimation equals slice thickness, with MDCT, collimation
determines the number of detectors exposed to the radiation beam.
Each manufacturer has its own detector array and data acquisition
systems. The source data acquired defines the width of the smallest
section that can be reconstructed (Figure 1). Some
collimation/detector protocols maximize coverage (eg, expose the
greatest width per 360° scanner rotation); others maximize
resolution (eg, expose only the narrowest detectors centrally).
When choosing scanner protocols, radiologists should keep a few
general guidelines for dose efficiency in mind. The dose
consequence is highest with the smallest beam width; therefore,
efficiency improves with the number of detectors exposed. Thus, it
is more efficient to expose all detectors than to collimate to the
central detectors. Verdun et al
2
reported dose efficiency of 96% when exposing all 64 detectors
versus a dose efficiency of only 67% when collimating to the 8
central detectors of a 64-detector scanner. The 64-detector scanner
is much more efficient than a 4- or 8-detector scanner at acquiring
thin sections for isotropic imaging. With a 4-detector scanner,
acquiring images at 1.25-mm section thickness decreases the dose
efficiency to 66% and more than doubles the CT dose index volume
(CTDI volume, see below). Even on a 64-detector scanner, acquiring
isotropic data may lead to increased radiation if the tube current
is increased to compensate for the increased noise that plagues
thin sections. Reviewing thicker sections makes noise acceptable
and, therefore, allows us to limit dose. Thus the helpful dictum,
"acquire thin, review thick" when possible.
There are many ways to measure radiation dose. The most helpful
clinical parameters are CT dose index volume (CTDI
vol
) and the dose-length product (DLP). These are included on most
recent MDCT scanners. The CT dose index is a measure of the energy
absorbed divided by the unit mass. The
weighted
CT dose index (CTDI
w
) factors in the change in radiation dose across the depth
scanned:
CTDI
W
=
1
⁄
3
(CTDI
100
)
center
+
2
⁄
3
(CTDI
100
)
peripheral
where (CTDI
100
)
peripheral
represents an average of 4 different measurements in the periphery
of the phantom. For a standard head CT, which is approximated by a
16-cm phantom, the dose does not change significantly from the skin
to the center of the patient's head. The CTDI
vol
is the weighted CT dose index divided by the pitch:
CTDI
vol
= CTDI
W
/pitch
Pitch is the distance the table travels per rotation divided by
the beam collimation. Dose varies inversely with pitch. For
example, if pitch is doubled, the dose is halved. Since CTDI
measures are acquired using phantoms, they do not take into account
the shape or composition of any individual patient.
3
The DLP is the CTDI
vol
multiplied by the length of the scan:
DLP = CTDI
vol
× length of scan (cm)
Both the CTDI volume and the DLP can be used to compare
individual scanning protocols with diagnostic reference levels
(DRLs). Diagnostic reference levels are intended to represent the
75
th
percentile of radiation dose for a given examination. It is
acceptable to exceed the DRL for any given patient, but doses
should not routinely rise above the DRL. The most recent American
College of Radiology guideline, adopted January 2008, recommends a
DRL of 75 mGy for the CTDI
vol
when scanning an adult head.
4
A final useful measure of radiation dose is the effective dose,
which attempts to reflect the relative radiosensitivity of organs
by incorporating a tissue-weighting factor. Typical effective doses
are listed in Table 1.
5-7