This study aims to evaluate the capabilities of an emerging imaging technique, Microwave Breast Imaging (MBI), in detecting different typologies of breast cancer via MammoWave device (UBT Srl). Comparative imaging assessment is shown using conventional imaging techniques and novel microwave imaging. All cases presented in this investigation were collected in the international study “A multicentric, single-arm, prospective, stratified clinical investigation to evaluate MammoWave’s ability in breast lesions detection” (ClinicalTrials.gov Identifier: NCT04253366), carried out under the framework of the European-funded project Cutting edge microwave imaging device...

Breast cancer (BC) is a complex disease characterized by genetic and clinical heterogeneity that has been standardized using several classifications (histological, molecular, functional) [1]. Huge literature can be found about breast cancer typologies and their associated features in conventional clinical imaging. However, there is a lack of clinical studies about radiological findings and associated BC classifications in emerging technologies, such as microwave imaging [2]. This work is proposed as first-in-field to analyze different clinical malignant conditions under the scope of conventional imaging and novel MBI...

48 volunteers presented breast cancer in one breast (no bilateral cancer was found), including invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC), and ductal carcinoma in situ (DCIS). Table 1 summarizes the histological types of malignant lesions collected in this study. Suspicious nodules with or without associated microcalcifications and mammographic architectural distortions were biopsied according to Department’s clinical protocols. A wide range of malignant (histology-confirmed) lesions was included in this study, coming from different radiological findings (spiculated, irregular nodules, with/without associated microcalcifications, isolated clusters of...

In this study, a consistent, heterogeneous set of malignant lesions was analyzed by conventional imaging techniques as well as novel microwave breast imaging. Lesions analysis using different imaging techniques was carried out using MammoWave device and several interesting clinical examples were collected. MBI seems to be a promising tool to detect breast cancer; the implementation of AI algorithms may enhance MammoWave's capabilities, especially when applying radiomics approaches. Further studies and planned trials will be done to demonstrate MammoWave's capabilities in breast cancer detection, with larger...

D. Álvarez Sánchez-Bayuela: Nothing to disclose R. Giovanetti González: Nothing to disclose L. M. Cruz Hernandez: Nothing to disclose P. M. Aguilar Angulo: Nothing to disclose M. D. P. Sánchez Camacho González Carrato: Nothing to disclose A. Rodríguez Sánchez: Nothing to disclose M. Badia: Employee: UBT srl G. Tiberi: Shareholder: Umbria Bioengineering Technologies Founder: Umbria Bioengineering Technologies C. Romero Castellano: Nothing to disclose

[1] G. K. Malhotra, X. Zhao, H. Band, and V. Band, “Histological, molecular and functional subtypes of breast cancers,” Cancer Biol Ther, vol. 10, no. 10, pp. 955–960, Nov. 2010, doi: 10.4161/cbt.10.10.13879. [2] N. Nikolova, “Microwave Imaging for Breast Cancer,” IEEE Microw Mag, vol. 12, no. 7, pp. 78–94, Dec. 2011, doi: 10.1109/MMM.2011.942702. [3] L. Sani et al., “Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images’ parameters,” PLoS One, vol. 16, no. 4, p. e0250005, Apr. 2021, doi: 10.1371/journal.pone.0250005. [4]...