Keywords:
Urinary Tract / Bladder, Pelvis, Oncology, MR-Diffusion/Perfusion, Image manipulation / Reconstruction, Computer Applications-Detection, diagnosis, Computer Applications-Teleradiology, Abscess delineation, Abscess, Cancer, Metastases
Authors:
Y. MATSUDA, T. Hariu, J. Kasahara, A. chishima, T. Miyazaki; Tokyo/JP
DOI:
10.26044/ecr2019/C-1265
Aims and objectives
Diffusion-weighted imaging (DWI) is useful for detecting bladder
tumors.
In DWI,
increasing b values suppresses signals from urine in the
bladder.
However,
b values at which signals from the urine are suppressed
differ among individuals.
At our hospital,
images are taken at b values of
50,
800,
and 1000 s/mm2 for bladder tumors.
In some cases,
it is difficult
to identify tumors within the bladder due to signals from the urine.
In such
cases,
additional images are usually taken at b values of 1500 s/mm2
,
etc.
However,
this adds approximately two minutes to the imaging time,
imposing a large burden on patients.
The first choice for avoiding this
problem is using computed DWI (hereinafter cDWI).
cDWI is a technology
reported by Blackledge et al.
in 2011 and has a simple
concept in whichDWI is synthesized from two DWIs with
different b values and high-b value images are produced based on the
calculation.cDWI is assumed to produce the same quality images as the
actual DWI images in a shorter imaging time.
Since the current version
and old machines did not have cDWI data processing
functions,
later,
a cDWI software manufactured by MedTools
Corporation (USA) was plugged into the Osirix (Pixmeo SARL,
Switzerland) image processing software for Mac (Apple Inc.
USA)
users.
Using these software,
images were developed,
andthen contrast-to�noise ratios (CNR) were compared.
The comparison was made in
collaboration with a radiologist qualified to read images.