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ECR 2018 / C-1390
Sensitivity Assessment of a Microwave Apparatus for Breast Cancer Detection
Congress: ECR 2018
Poster No.: C-1390
Type: Scientific Exhibit
Keywords: Cancer, Instrumentation, Computer Applications-Detection, diagnosis, Experimental, Breast
Authors: G. Tiberi1, L. Sani1, N. Ghavami2, M. Paoli1, A. Vispa1, G. Raspa1, E. Vannini1, A. Saracini1, M. Duranti1; 1Perugia/IT, 2London/UK


Fig 3 shows the microwave images obtained for subject 11R (a) and subject 08R (b); as pointed out before, to allow intra-subject comparison, the two images have been normalized to unitary average of the intensity. Axes are given in meter. Intensity is given in arbitrary unit, with a scale from 0 to 2. Microwave images are homogeneity maps of tissues' dielectric properties (both dielectric constant and conductivity), and are given here as 2D images in the azimuthal plane i.e. coronal plane. A certain level of in-homogeneity can be seen in both (a) and (b); however, in (b), in-homogeneity is more pronounced.

Figs 3c and 3d show the mammography images for subject 11R and 08R, mediolateral oblique views. Even if a co-registration between Fig 3b and Fig 3d is not possible, both figures detect an inclusion near the surface of the breast.

According to the radiologist study review, 8 healthy breasts and 12 non-healthy breasts underwent microwave imaging. For each microwave imaging exam, the parameter Max/Avg is given in Table 2; specifically, the left part of Table 2 refers to healthy breasts, while the right part of Table 2 refers to non-healthy breasts. For the healthy breasts, mean and standard deviation of Max/Avg are 1.64 and 0.04; for the non-healthy breasts, mean and standard deviation of Max/Avg are 1.77 and 0.09. The threshold T is equal to 1.68; T is then used to classify the microwave images of the non-healthy breasts. By comparing the output of the radiologist study with the classification of microwaves images performed using the threshold T, it is possible to note that 11/12 of non-healthy breasts have an altered microwave image; this turns out into a sensitivity of 91%.

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