Initial Clinical Validation of a Novel Microwave Apparatus for Testing Breast Integrity

Sani, Lorenzo; Paoli, Martina; Raspa, Giovanni; Ghavami, Navid; Sacchetti, F.; Saracini, Andrea; S, Ercolani; Vannini, Eleonora; Duranti, Michele

doi:10.1109/ist.2016.7738237

Cited by 6 publications

(8 citation statements)

References 6 publications

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“…Recently, Foligno Hospital, Italy, has been authorized by the Ethical Committee of Regione Umbria, Italy, to join the clinical validation, which has been extended to 100 volunteers (N. 10352/17/NCAV of 16/03/2017). The correspondent protocol focuses on a feasibility study for detection of breast lesions using the proposed microwave mammogram apparatus, with the goal of quantifying the potential of the proposed microwave mammogram apparatus to be used for medical technology screening and possible localization of breast cancer [15].…”

Section: In-vivo Validationmentioning

confidence: 99%

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Novel microwave apparatus for breast lesions detection: Preliminary clinical results

Sani

Ghavami

Vispa

et al. 2019

Biomedical Signal Processing and Control

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This paper presents preliminary results of an innovative microwave imaging apparatus for breast lesions detection. Specifically, a Huygens Principle based method is employed to process the microwave signals and to build the respective microwave images. The apparatus has been first tested on phantoms. Next, its performance has been verified through clinical examinations on 22 healthy breasts and on 29 breast having lesions, using as gold standard the output of the radiologist study review obtained using conventional techniques. Specifically, we introduce a metric, which is the ratio between maximum and average of the image intensity (MAX/AVG). We found that MAX/AVG of microwave images can be used for classifying breasts containing lesions. In addition, using MAX/AVG as classification parameter, receiver operating characteristic curves have been empirically determined. Furthermore, for one randomly selected breast having lesion, we have demonstrated that the localization of the inclusion acquired through microwave imaging is compatible with mammography images.

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Section: In-vivo Validationmentioning

confidence: 99%

“…Recently, an innovative apparatus based on UWB microwaves has been constructed, tested and validated through phantom based measurements [14,15]. The apparatus collects the microwave signals, which are then processed using the Huygens Principle (HP).…”

Section: Introductionmentioning

confidence: 99%

Novel microwave apparatus for breast lesions detection: Preliminary clinical results

Sani

Ghavami

Vispa

et al. 2019

Biomedical Signal Processing and Control

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“…The receiving antenna was configured to rotate azimuthally around the phantom to collect the reflected signals in the different directions. For each receiving position, the complex S21 was recorded over a wide frequency range of 1 to 3 GHz with a frequency step of 10 MHz [23] in order to exploit the variation of the signal over the different frequencies. To allow artefact removal, the measurement procedure was repeated using M = 3 transmitting positions displaced 5 • from each other (considered as a transmitting triplet displaced at positions 0 • , 5 • , and 10 • ).…”

Section: Experimental Configurations In An Anechoic Chambermentioning

confidence: 99%

A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection

et al. 2019

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This paper demonstrates the outcomes of a feasibility study of a microwave imaging procedure based on the Huygens principle for bone lesion detection. This study has been performed using a dedicated phantom and validated through measurements in the frequency range of 1–3 GHz using one receiving and one transmitting antenna in free space. Specifically, a multilayered bone phantom, which is comprised of cortical bone and bone marrow layers, was fabricated. The identification of the lesion’s presence in different bone layers was performed on images that were derived after processing through Huygens’ principle, the S21 signals measured inside an anechoic chamber in multi-bistatic fashion. The quantification of the obtained images was carried out by introducing parameters such as the resolution and signal-to-clutter ratio (SCR). The impact of different frequencies and bandwidths (in the 1–3 GHz range) in lesion detection was investigated. The findings showed that the frequency range of 1.5–2.5 GHz offered the best resolution (1.1 cm) and SCR (2.22 on a linear scale). Subtraction between S21 obtained using two slightly displaced transmitting positions was employed to remove the artefacts; the best artefact removal was obtained when the spatial displacement was approximately of the same magnitude as the dimension of the lesion.

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“…At present, some UWB microwave imaging prototypes for breast cancer detection are at clinical trials stage [14,15]. Recently, a novel microwave apparatus (MammoWave, UBT Srl, Perugia, IT) started clinical validation [16,17]. In MammoWave, microwave signals are processed through Huygens principle (HP) [18].…”

Section: Introductionmentioning

confidence: 99%

UWB device for breast microwave imaging: phantom and clinical validations

et al. 2019

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Microwave imaging has received increasing attention in the last decades, motivated by its application in diagnostic imaging. Such effort has been encouraged by the fact that, at microwave frequencies, it is possible to distinguish between tissues with different dielectric properties. In such framework, a novel microwave device is presented here. The apparatus, consisting of two antennas operating in air, is completely safe and non-invasive since it does not emit any ionizing radiation and it can be used for breast lesion detection without requiring any breast crushing. We use Huygens Principle to provide a novel understanding into microwave imaging; specifically, the algorithm based on this principle provides images which represent homogeneity maps of the dielectric properties (dielectric constant and/or conductivity). The experimental results on phantoms having inclusions with different dielectric constants are presented here. In addition, the capability of the device to detect breast lesions has been verified through clinical examinations on 51 breasts.We introduce a metric to measure the non-homogenous behaviour of the image, establishing a modality to detect the presence of inclusions inside phantoms and, similarly, the presence of a lesion inside a breast.

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Initial Clinical Validation of a Novel Microwave Apparatus for Testing Breast Integrity

Cited by 6 publications

References 6 publications

Novel microwave apparatus for breast lesions detection: Preliminary clinical results

Novel microwave apparatus for breast lesions detection: Preliminary clinical results

A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection

UWB device for breast microwave imaging: phantom and clinical validations

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