Masaaki Hori1,2, Tomoko Maekawa2, Kouhei Kamiya1,2, Akifumi Hagiwara2, Koji Kamagata2, and Shigeki Aoki2,3
1Toho University Omori Medical Center, Tokyo, Japan, 2Radiology, Faculty of Medicine, Juntendo University, Tokyo, Japan, 3Faculty of Health Data Science, Juntendo University, Chiba, Japan
Synopsis
Keywords: Tumors, Tumor
In this exhibit, we
outline the effect of TE shortening on the diffusion-weighted imaging (DWI) in
clinical practice and the associated shortening of diffusion time on recent clinical
MRI scanner for brain neoplasms diagnosis. In general, shortening
the diffusion time reduces the contrast of lesions that show an abnormally high
signal on DWI, and the apparent diffusion coefficient values also changes
toward a larger value, which may lead the radiologist to err in
differential diagnosis or grading of the neoplastic lesions. Therefore, it is
important for radiologists to be aware of these effects when diagnosing brain neoplasms.
Purpose:
With
advances in hardware and software on clinical MRI scanners, especially 3Tesla,
the echo time (TE) of diffusion-weighted (DW) imaging using single-shot echo-planar
imaging are being set up with shorter than before. Of course, in principle this
is true in terms of improved image quality, but at the same time diffusion
times are often automatically shortened. Also, clinicians are often unaware
that changes in TE and diffusion time can change the contrast of the DW imaging
and its quantitative value. The purpose of this exhibit is to present the effects
of diffusion time and TE changes of diffusion MR imaging on clinical brain neoplasms
diagnosis.Outline of contents:
1.
First, the representative case images are shown when the
TE time is set shorter on a 3T MRI system in clinical settings. Usually, the
diffusion time is shortened along with the TE shortening. As a result, both the
contrast of the brain parenchyma and the contrast of neoplastic lesions in the
brain change and the corresponding apparent diffusion coefficient (ADC) values
also change (Figure 1). In the past, 1.5T MRI systems had a TE of approximately
100-120 ms for DW imaging, whereas the current state-of-the-art 3T MRI systems
have a TE = 60 ms is set as a standard value in the latest clinical 3T MRI
systems. Therefore, when referring to past images, it is necessary to consider
not only differences in static magnetic field strength but also differences in
TE and diffusion time.
2.
In DW images, if the diffusion time is fixed and TE is
varied, the contrast of the b=0 image is defined by the value of TE, and the
contrast of the trace image, which is used for clinical diagnosis, also changes
(Figure 2). In general, diffusion-weighted images are known to be TE-dependent1. Therefore, the
radiologist should be aware of the TE value and its effect on the DW images, or
the differential diagnosis may be incorrect.
3.
Next, we show what can happen in DW images when TE is
fixed and diffusion time is varied. The radiologist must first recognize that
with newer MRI systems, the diffusion time is shorter than before as the TE is
shortened. Shorter diffusion times reduce the contrast of brain neoplasms that
show abnormally high signal on DW images. In some cases, there is a risk of
unrecognizability2, 3 (Figure 3). In addition, changes in image
contrast, i.e., various brain tumors known to show abnormally high signal on DW
images and reduced ADC (e.g., germinoma, CNS lymphoma, glioblastoma, etc.) do
not show typical imaging findings, which may lead the radiologist to err in
differential diagnosis or grading of the neoplastic lesions4 (Figure
4 and 5).Summary:
In
this exhibit, we outline the effect of TE shortening on the DW imaging in
clinical practice and the associated shortening of diffusion time on recent clinical
MRI scanner for brain neoplasms diagnosis. In general, shortening the
diffusion time reduces the contrast of lesions that show an abnormally high
signal on DWI, and the ADC value also changes toward a larger value. It is
important for radiologists to be aware of these effects when diagnosing brain neoplasms.Acknowledgements
This
work was supported by JSPS KAKENHI Grant Number 22K15850.References
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