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

Yu, Xianjun; Sun, Ying; Cai, Kaican; Yu, Hongfeng; Zhou, Difu; Lu, Di; Xin, Sherman Xuegang

doi:10.1002/bem.22246

Cited by 21 publications

(20 citation statements)

References 32 publications

(45 reference statements)

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“…We believed that such pressure would ensure consistency in the measurements between different tissue samples. The calibration methods were confirmed by our team in previous research 39 …”

Section: Methodssupporting

confidence: 58%

Differences in the dielectric properties of various benign and malignant thyroid nodules

Huang¹,

Cai²,

Han³

et al. 2020

Medical Physics

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This experiment was conducted to investigate the dielectric properties of different types of thyroid nodules. Our goal was to find a simple and fast method to detect thyroid diseases at different stages from the dielectric properties of thyroid nodules. Methods: We used the open-ended coaxial line method to measure the dielectric permittivities of thyroid tissues from 155 patients at frequencies ranging from 1 to 4000 MHz. Tissues that were investigated included normal thyroid tissue and benign and malignant thyroid nodules (nodular goiter, follicular adenoma, papillary carcinoma, and follicular carcinoma), as determined from pathological reports. Differences in dielectric properties were measured between each nodule and the surrounding 1 cm of tissue. Results: The analysis results revealed that the dielectric permittivity and conductivity values were positively correlated with the degree of malignancy of the nodule (normal < benign < malignant; all differences P < 0.05). This was more obvious at frequencies within 20~70 MHz, following the order normal tissue < nodular goiter < follicular adenoma < papillary carcinoma < follicular carcinoma. A significant difference (P < 0.05) in dielectric permittivity and conductivity was found when comparing these nodules with the surrounding 1 cm of tissue. Conclusions: Normal, benign, and malignant nodules were successfully distinguished from one another, and dielectric permittivity was found to be a more sensitive parameter than conductivity. In particular, different disease types can be distinguished at a stimulation frequency of 20~70 MHz, which shows that dielectric properties have application prospects for the detection and diagnosis of cancer. At the same time, the dielectric parameter differences between the surrounding 1 cm of tissue and the diseased nodule can distinguish the tumor and its surrounding tissues in real time during surgery to determine the tumor boundary.

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“…We believed that such pressure would ensure consistency in the measurements between different tissue samples. The calibration methods were confirmed by our team in previous research 39 …”

Section: Methodssupporting

confidence: 58%

Differences in the dielectric properties of various benign and malignant thyroid nodules

Huang¹,

Cai²,

Han³

et al. 2020

Medical Physics

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“…By combining current and previously published data ( 19 ), the dielectric parameters from 41 lung cancer metastatic thoracic lymph nodes and 178 non-metastatic lung thoracic lymph nodes from 74 patients were measured ( Table 1 ) using an open-ended coaxial probe with 3,951 frequency points in the range of 50 MHz to 4 GHz.…”

Section: Resultsmentioning

confidence: 99%

Classification of Metastatic and Non-Metastatic Thoracic Lymph Nodes in Lung Cancer Patients Based on Dielectric Properties Using Adaptive Probabilistic Neural Networks

Wang

et al. 2021

Front. Oncol.

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ObjectiveDielectric properties can be used in normal and malignant tissue identification, which requires an effective classifier because of the high throughput nature of the data. With easy training and fast convergence, probabilistic neural networks (PNNs) are widely applied in pattern classification problems. This study aims to propose a classifier to identify metastatic and non-metastatic thoracic lymph nodes in lung cancer patients based on dielectric properties.MethodsThe dielectric properties (permittivity and conductivity) of lymph nodes were measured using an open-ended coaxial probe. The Synthetic Minority Oversampling Technique method was adopted to modify the dataset. Feature parameters were scored to select the appropriate feature vector using a Statistical Dependency algorithm. The dataset was classified using adaptive PNNs with an optimized smooth factor using the simulated annealing PNN (SA-PNN). The results were compared with traditional Probabilistic, Support Vector Machines, k-Nearest Neighbor and the Classify functions in MATLAB.ResultsThe conductivity frequencies of 3959, 3958, 3960, 3978, 3510, 3889, 3888, and 3976 MHz were selected as the feature vectors for 219 lymph nodes (178 non-metastatic and 41 metastatic). Compared with the other methods, SA-PNN achieved the highest classification accuracy (92.92%) and the corresponding specificity and sensitivity were 94.72% and 91.11%, respectively.ConclusionsCompared with the other methods, the SA-PNN proposed in the present study achieved a higher classification accuracy, which provides a new scheme for classification of metastatic and non-metastatic thoracic lymph nodes in lung cancer patients based on dielectric properties.

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“…Although a large number of experimental studies was conducted acquiring the dielectric properties of healthy and diseased tissues [21] - [26], the literature reports only a limited number of data on the dielectric properties of adrenal glands [27], [28]. In [27], the dielectric properties of the outer layer of the gland (the cortex) are measured in in vivo porcine models; while in [28] the dielectric properties of ex vivo bovine adrenal glands are measured distinguishing between the cortex and the medulla.…”

Section: Introductionmentioning

confidence: 99%

Dielectric Characterization of Ex Vivo Ovine and Human Adrenal Glands for Microwave Thermal Ablation Applications

Bottiglieri

Shahzad

Donlon

et al. 2021

IEEE J. Electromagn. RF Microw. Med. Biol.

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A graphical representation of the variability of relative permittivity and effective conductivity (S/m) of the functional tissues composing the adrenal gland and related diseases in the frequency range of the microwave thermal ablation techniques. The operating frequencies generally adopted to excite the electromagnetic field by an interstitial antenna are: 915 MHz, 2.45 GHz and 5.8 GHz. Take-Home Messages• Ovine dielectric data are collected, distinguishing between the two functional tissues composing the adrenal gland (cortex and medulla): a sizable difference between the dielectric properties of the two tissues is observed. • Optimized Cole-Cole model of the ovine dielectric properties are presented to allow integration of the data into numerical electromagnetic models. • Human data are collected considering both healthy and diseased adrenal tissues. For the first time, dielectric properties of ex vivo human adrenal glands are measured, presented and compared with data of ex vivo animal models. • The ovine adrenal gland is a feasible model for the optimization of electromagnetic based devices tackling Primary Aldosteronism, such as microwave thermal ablation devices. The ovine model electromagnetically resembles the composition of the human adrenal gland. The ovine model can potentially be adopted in preclinical studies to test the safety and performances of MWA.

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

Cited by 21 publications

References 32 publications

Differences in the dielectric properties of various benign and malignant thyroid nodules

Differences in the dielectric properties of various benign and malignant thyroid nodules

Classification of Metastatic and Non-Metastatic Thoracic Lymph Nodes in Lung Cancer Patients Based on Dielectric Properties Using Adaptive Probabilistic Neural Networks

Dielectric Characterization of Ex Vivo Ovine and Human Adrenal Glands for Microwave Thermal Ablation Applications

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