Abstract #4055
Computer-assisted diagnosis of breast lesions based on IVIM and non Gaussian diffusion MRI
Mami Iima 1 , Masako Kataoka 1 , Masaki Umehana 2 , Yuto Nakanishi 2 , Takayuki Ito 2 , Kojiro Yano 3 , Shotaro Kanao 1 , Kaori Togashi 1 , and Denis Le Bihan 4,5
1
Diagnostic Imaging and Nuclear Medicine.,
Kyoto University Graduate School of Medicine, Kyoto,
Kyoto, Japan,
2
Kyoto
University Faculty of Medicine, Kyoto, Kyoto, Japan,
3
Information
Science and Technology, Osaka Institute of Technology,
Hirakata, Osaka, Japan,
4
Human
Brain Research Center, Kyoto University Graduate School
of Medicine, Kyoto, Kyoto, Japan,
5
Neurospin,
CEA Saclay, Gif-sur-Yvette, Ile-de-France, France
A computer-assisted diagnostic tool was evaluated in 36
patients with breast lesions. The IVIM signal of each
voxel was fitted using a kurtosis diffusion model and
with the IVIM model. A parametric map was then generated
by ascribing each voxel a value from 0 to 3 according to
the number of parameters falling beyond a given
threshold (K>0.80, ADCo<1.40 x 10-3mm/s, fIVIM>2.07%)
established from a previous study, and displayed using a
color scale. The diagnostic accuracy of this
computer-assisted diagnosis tool (3 or 2: malignant
likely, 1 or 0: benign likely) was found very high (97 %
sensitivity and 100 % specificity).
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