Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Vohra, Nagma; Bowman, Tyler; Bailey, Keith; El-Shenawee, Magda

doi:10.3791/61007

Cited by 14 publications

(3 citation statements)

References 28 publications

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“…Tumor tissues contain more water than normal ones, which leads to a higher absorption coefficient and refractive index [25,26]. Many researchers have used this peculiarity for the THz imaging of various cancers, including skin [133][134][135][136][137][138][139], breast [140][141][142][143][144], and specific digestive cancers [27].…”

Section: Thz Spectroscopy and Imaging Of Glioma Tissuesmentioning

confidence: 99%

Diagnosis of Glioma Molecular Markers by Terahertz Technologies

et al. 2021

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This review considers glioma molecular markers in brain tissues and body fluids, shows the pathways of their formation, and describes traditional methods of analysis. The most important optical properties of glioma markers in the terahertz (THz) frequency range are also presented. New metamaterial-based technologies for molecular marker detection at THz frequencies are discussed. A variety of machine learning methods, which allow the marker detection sensitivity and differentiation of healthy and tumor tissues to be improved with the aid of THz tools, are considered. The actual results on the application of THz techniques in the intraoperative diagnosis of brain gliomas are shown. THz technologies’ potential in molecular marker detection and defining the boundaries of the glioma’s tissue is discussed.

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Section: Thz Spectroscopy and Imaging Of Glioma Tissuesmentioning

confidence: 99%

Diagnosis of Glioma Molecular Markers by Terahertz Technologies

et al. 2021

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“…THz imaging system can be divided into different systems according to their structures. Based on terahertz pulsed imaging (TPI) system, researchers have been able to observe the boundary between cancerous and normal tissue in laryngeal cancer, breast cancer, and mouse brain glioma ( Oh et al, 2014 ; Chavez et al, 2018 ; Vohra et al, 2020 ; Ke et al, 2022 ). By using continuous-wave terahertz (CW THz) transmission or reflection scanning imaging system, the difference of THz images between cancerous and normal tissues in colon cancer and mouse brain glioma was detected respectively ( Wahaia et al, 2016 ; Wu et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Early detection of gastric cancer via high-resolution terahertz imaging system

Shi

Zhao

et al. 2022

Front. Bioeng. Biotechnol.

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Terahertz (THz) wave has demonstrated a good prospect in recent years, but the resolution is still one of the problems that restrict the application of THz technology in medical imaging. Paraffin-embedded samples are mostly used in THz medical imaging studies, which are thicker and significantly different from the current gold standard slice pathological examination in sample preparation. In addition, THz absorption in different layers of normal and cancerous tissues also remains to be further explored. In this study, we constructed a high-resolution THz imaging system to scan non-tumorous adjacent tissue slices and gastric cancer (GC) tissue slices. In this system, a THz quantum cascade laser emitted a pulsed 3 THz signal and the transmitted THz wave was received by a THz detector implemented in a 65 nm CMOS process. The slice thickness was only 20 μm, which was close to that of the medical pathology examination. We successfully found THz transmittance differences between different layers of normal gastric tissues based on THz images, and the resolution could reach 60 μm for the first time. The results indicated that submucosa had a lower THz transmittance than that of mucosa and muscular layer in non-tumorous adjacent tissue. However, in GC tissue, THz transmittance of mucosa and submucosa was similar, caused by the decreased transmittance of mucosa, where the cancer occurs. Therefore, we suppose that the similar terahertz transmittance between gastric mucosa and submucosa may indicate the appearance of cancerization. The images obtained from our THz imaging system were clearer than those observed with naked eyes, and can be directly compared with microscopic images. This is the first application of THz imaging technology to identify non-tumorous adjacent tissue and GC tissue based on the difference in THz wave absorption between different layers in the tissue. Our present work not only demonstrated the potential of THz imaging to promote early diagnosis of GC, but also suggested a new direction for the identification of normal and cancerous tissues by analyzing differences in THz transmittance between different layers of tissue.

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“…Compared with traditional nondestructive testing methods, terahertz has strong penetrability to dielectric materials, and can detect objects under non-destructive, low-radiation, nonionizing, non-contact, and real-time evaluation conditions, with high accuracy and no coupling, which is the vital development trend of future nondestructive testing [25,26]. At present, the research on terahertz technology for nondestructive evaluation has been applied in various fields, including aeroengine [27][28][29][30][31], human security [32,33], food safety [34,35], biopharmaceuticals [36,37], composite materials [38,39] and integrated circuits [40,41], various minor anomalies had been successfully inspected by terahertz nondestructive technology.…”

Section: Introductionmentioning

confidence: 99%

Novel Terahertz Nondestructive Method for Measuring the Thickness of Thin Oxide Scale Using Different Hybrid Machine Learning Models

Chen

et al. 2020

Coatings

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Effective control of the thickness of the hot-rolled oxide scale on the surface of the steel strip is very vital to ensure the surface quality of steel products. Hence, terahertz nondestructive technology was proposed to measure the thickness of thin oxide scale. The finite difference time domain (FDTD) numerical simulation method was employed to obtain the terahertz time-domain simulation data of oxide scale with various thickness (0–15 μm). Added Gaussian white noise with a Signal Nosie Reduction (SNR) of 10 dB was used when simulating real test signals, using four wavelet denoising methods to reduce noise and to compare their effectiveness. Two machine learning algorithms were adopted to set up models to achieve this goal, including the classical back-propagation (BP) neural network algorithm and the novel extreme learning machine (ELM) algorithm. The principal component analysis (PCA) algorithm and particle swarm optimization (PSO) algorithm were combined to reduce the dimensions of the terahertz time-domain data and improve the robustness of the machine learning model. It could be clearly seen that the novel hybrid PCA-PSO-ELM model possessed excellent prediction performance. Finally, this work proposed a novel, convenient, online, nondestructive, noncontact, safety and high-precision thin oxide scale thickness measuring method that could be employed to improve the surface quality of iron and steel products.

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Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Cited by 14 publications

References 28 publications

Diagnosis of Glioma Molecular Markers by Terahertz Technologies

Diagnosis of Glioma Molecular Markers by Terahertz Technologies

Early detection of gastric cancer via high-resolution terahertz imaging system

Novel Terahertz Nondestructive Method for Measuring the Thickness of Thin Oxide Scale Using Different Hybrid Machine Learning Models

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