Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters.
Journal article
Sani, L., Vispa, A., Loretoni, R., Duranti, M., Ghavami, N., Alvarez Sánchez-Bayuela, D., Caschera, S., Paoli, M., Bigotti, A., Badia, M., Scorsipa, M., Raspa, G., Ghavami, M. and Tiberi, G. (2021). Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters. PLoS ONE. 16 (4), p. e0250005. https://doi.org/10.1371/journal.pone.0250005
| Authors | Sani, L., Vispa, A., Loretoni, R., Duranti, M., Ghavami, N., Alvarez Sánchez-Bayuela, D., Caschera, S., Paoli, M., Bigotti, A., Badia, M., Scorsipa, M., Raspa, G., Ghavami, M. and Tiberi, G. |
|---|---|
| Abstract | MammoWave is a microwave imaging device for breast lesions detection, which operates using two (azimuthally rotating) antennas without any matching liquid. Images, subsequently obtained by resorting to Huygens Principle, are intensity maps, representing the homogeneity of tissues' dielectric properties. In this paper, we propose to generate, for each breast, a set of conductivity weighted microwave images by using different values of conductivity in the Huygens Principle imaging algorithm. Next, microwave images' parameters, i.e. features, are introduced to quantify the non-homogenous behaviour of the image. We empirically verify on 103 breasts that a selection of these features may allow distinction between breasts with no radiological finding (NF) and breasts with radiological findings (WF), i.e. with lesions which may be benign or malignant. Statistical significance was set at p<0.05. We obtained single features Area Under the receiver operating characteristic Curves (AUCs) spanning from 0.65 to 0.69. In addition, an empirical rule-of-thumb allowing breast assessment is introduced using a binary score S operating on an appropriate combination of features. Performances of such rule-of-thumb are evaluated empirically, obtaining a sensitivity of 74%, which increases to 82% when considering dense breasts only. |
| Keywords | Breast lesion detection; microwave imaging; MammoWave; UWB radar |
| Year | 2021 |
| Journal | PLoS ONE |
| Journal citation | 16 (4), p. e0250005 |
| Publisher | Public Library of Science (PLoS) |
| ISSN | 1932-6203 |
| Digital Object Identifier (DOI) | https://doi.org/10.1371/journal.pone.0250005 |
| https://doi.org/PONE-D-20-39693 | |
| Publication dates | |
| Online | 13 Apr 2021 |
| Publication process dates | |
| Deposited | 12 Apr 2021 |
| Accepted | 29 Mar 2021 |
| Publisher's version | License File Access Level Open |
| Accepted author manuscript | License File Access Level Controlled |
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