TY - GEN
T1 - MammoWave clinical trials within RadioSpin project: results obtained using microwave images' features approaches with thresholds
AU - Papini, Lorenzo
AU - Fracassini, Arianna
AU - Ghavami, Navid
AU - Sánchez-Bayuela, Daniel Álvarez
AU - Badia, Mario
AU - Bigotti, Alessandra
AU - Palomba, Gianmarco
AU - Raspa, Giovanni
AU - Castellano, Cristina Romero
AU - Taghipour-Gorjikolaie, Mehran
AU - Ghavami, Mohammad
AU - Dudley, Sandra
AU - Loretoni, Riccardo
AU - Tagliafico, Alberto
AU - Calabrese, Massimo
AU - Tiberi, Gianluigi
PY - 2024/7/14
Y1 - 2024/7/14
N2 - In this paper, we present preliminary outcomes derived from a prospective multicentric clinical trial focusing on microwave breast imaging involving 336 women. This investigation was conducted as part of the RadioSpin project. Our primary objective was to evaluate the prospective performance of MammoWave, our microwave imaging device, in differentiating between breasts with and without radiological findings, utilizing specific microwave images features' thresholds. Beyond this primary assessment, we explored the use of individual frequency sub-bands to categorize breasts into two groups: healthy (without findings or with benign findings) and non-healthy (malignant findings), drawing on features identified in a previous clinical trial. Our findings reveal a sensitivity of 72% in detecting radiological findings and a noteworthy 78% in identifying non-healthy (cancerous) breasts.
AB - In this paper, we present preliminary outcomes derived from a prospective multicentric clinical trial focusing on microwave breast imaging involving 336 women. This investigation was conducted as part of the RadioSpin project. Our primary objective was to evaluate the prospective performance of MammoWave, our microwave imaging device, in differentiating between breasts with and without radiological findings, utilizing specific microwave images features' thresholds. Beyond this primary assessment, we explored the use of individual frequency sub-bands to categorize breasts into two groups: healthy (without findings or with benign findings) and non-healthy (malignant findings), drawing on features identified in a previous clinical trial. Our findings reveal a sensitivity of 72% in detecting radiological findings and a noteworthy 78% in identifying non-healthy (cancerous) breasts.
U2 - 10.1109/ap-s/inc-usnc-ursi52054.2024.10686131
DO - 10.1109/ap-s/inc-usnc-ursi52054.2024.10686131
M3 - Conference contribution
SN - 979-8-3503-6991-5
T3 - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI)
SP - 1519
EP - 1520
BT - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI)
T2 - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI)
Y2 - 14 July 2024 through 19 July 2024
ER -