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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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