Towards mm-wave spectroscopy for dielectric characterization of breast surgical margins

Summers, Paul; Vingiani, Andrea; Pietro, Salvatore Di; Martellosio, A.; Espin-Lopez, P. F.; Meo, Simona Di; Pasian, Marco; Ghitti, Michele; Sacchi, Roberto; Veronesi, Giulia; Bozzi, Maurizio; Mazzanti, Andrea; Perregrini, Luca; Svelto, F.; Preda, Lorenzo; Bellomi, Massimo; Renne, Giuseppe

doi:10.1016/j.breast.2019.02.008

Cited by 27 publications

(11 citation statements)

References 34 publications

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“…The results indicated that the dielectric properties of human cancer tissues and the corresponding normal tissues are often quite different. On the basis of this difference, a variety of diagnostic and therapeutic techniques have been developed, including magnetic resonance electric properties tomography (MR‐EPT) [Liu et al, ; Ariturk and Ider, ], surgical margin detection [Summers et al, ], and microwave ablation [Sebek et al, ], etc. In this article, we use this method to measure the dielectric properties of ex vivo metastatic and non‐metastatic lymph nodes (LNs) from lung cancer surgeries, including pre‐vascular and retrotraccheal LNs, subaortic LNs, para‐aortic LNs, subcarinal LNs, paraesophageal LNs, pulmonary ligament LNs, hilar LNs, and interlobar LNs.…”

Section: Introductionmentioning

confidence: 99%

Dielectric Properties of Normal and Metastatic Lymph Nodes Ex Vivo From Lung Cancer Surgeries

Sun

Cai

et al. 2020

Bioelectromagnetics

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The dielectric properties of normal and tumor human tissues have been widely reported in recent years. However, the dielectric properties of intrathoracic lymph nodes (LNs) have not been reported. In this communication, we measured the dielectric properties (i.e., permittivity and conductivity) of ex vivo intrathoracic LNs obtained from lung cancer surgeries. Results show that the permittivity and conductivity of metastatic LNs are higher than those of normal LNs over the frequency range of 1 MHz-4 GHz. Statistically significant differences are observed at single specific frequencies (64, 128, 298, 433, and 915 MHz and 2.45 GHz). Our study provides the basic data to support future-related research and fills the research gap on the dielectric properties of LNs in the lungs. Bioelectromagnetics. 2020;41:148-155.

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Section: Introductionmentioning

confidence: 99%

Dielectric Properties of Normal and Metastatic Lymph Nodes Ex Vivo From Lung Cancer Surgeries

Sun

Cai

et al. 2020

Bioelectromagnetics

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“…Based on this perspective, we can select permittivity to obtain high discrimination accuracy without conductivity and Cole–Cole parameters. This can not only improve the accuracy of a single measurement [12 ] but also increase the possibility of assisting doctors in the real‐time identification of tumour tissues in future clinical surgery, especially surgical margin detection [14 ].…”

Section: Discussionmentioning

confidence: 99%

“…Helwan et al [13 ] measured the electrical impedance of breast tissue and classified the breast tissue automatically using the backpropagation learning algorithm and the radial basis function network. The machine‐learning‐aided methods can not only increase the accuracy of a single measurement [12 ] but also provide the basis for accurate determination of surgical margins [14 ].…”

Section: Introductionmentioning

confidence: 99%

Discrimination between normal and malignant colorectal tissues based on discrepancies in their dielectric properties using machine learning methods

Sun

Zhang

Duan

et al. 2020

IET Science, Measurement &Amp; Technology

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Numerous researchers approved discrepancies in dielectric properties between malignant and normal tissues. Such discrepancies serve as a foundation for the development of computer‐aided diagnostic technologies. In this study, machine learning methods were proposed for discrimination between normal and malignant colorectal tissues based on discrepancies in their dielectric properties. To do so, first, two independent‐sample t ‐tests and receiver operating characteristic curve analysis were utilised to examine discrimination power with respect to three types of features, namely, permittivity, conductivity and Cole–Cole fitting parameters. K ‐nearest neighbour and support vector machine classifiers were used to assess the possibility of combining these features for better classification accuracy. Obtained k ‐fold cross‐validation accuracy reached 88.2%. The obtained accuracy indicated the potential capability of discrimination between normal and malignant colorectal tissues based on discrepancies in their dielectric properties.

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“…In the current study, the envisioned system operates at the lower limit of millimeter waves. The central frequency is set to 30 GHz and preliminary studies [15], [16] show very promising results. In order to increase also the range resolution a wide bandwidth is envisaged, from 20 GHz to 40 GHz.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Penetration of Millimeter Waves by Field Focusing Applied to Breast Cancer Detection

Iliopoulos

Meo

Pasian

et al. 2021

IEEE Trans. Biomed. Eng.

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The potentialities of improving the penetration of millimeter waves for breast cancer imaging are here explored. Methods: A field shaping technique based on a convex optimization method is proposed, capable of increasing the field level inside a breast-emulating stratification. Results: The theoretical results are numerically validated via the design and simulation of two circularly polarized antennas. The experimental validation of the designed antennas, using tissue-mimicking phantoms, is provided, being in good agreement with the theoretical predictions. Conclusion: The possibility of focusing, within a lossy medium, the electromagnetic power at millimeter-wave frequencies is demonstrated. Significance: Field shaping can be a key for using millimeter waves for breast cancer detection.

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Towards mm-wave spectroscopy for dielectric characterization of breast surgical margins

Cited by 27 publications

References 34 publications

Dielectric Properties of Normal and Metastatic Lymph Nodes Ex Vivo From Lung Cancer Surgeries

Dielectric Properties of Normal and Metastatic Lymph Nodes Ex Vivo From Lung Cancer Surgeries

Discrimination between normal and malignant colorectal tissues based on discrepancies in their dielectric properties using machine learning methods

Enhancement of Penetration of Millimeter Waves by Field Focusing Applied to Breast Cancer Detection

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