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Biomedical application of terahertz imaging technology: a narrative review.

作者信息

Cong Mengyang, Li Wen, Liu Yang, Bi Jing, Wang Xiaokun, Yang Xueqiao, Zhang Zihan, Zhang Xiaoxin, Zhao Ya-Nan, Zhao Rui, Qiu Jianfeng

机构信息

College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, China.

School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.

出版信息

Quant Imaging Med Surg. 2023 Dec 1;13(12):8768-8786. doi: 10.21037/qims-23-526. Epub 2023 Sep 27.


DOI:10.21037/qims-23-526
PMID:38106329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10722018/
Abstract

BACKGROUND AND OBJECTIVE: Terahertz (THz) imaging has wide applications in biomedical research due to its properties, such as non-ionizing, non-invasive and distinctive spectral fingerprints. Over the past 6 years, the application of THz imaging in tumor tissue has made encouraging progress. However, due to the strong absorption of THz by water, the large size, high cost, and low sensitivity of THz devices, it is still difficult to be widely used in clinical practice. This paper provides ideas for researchers and promotes the development of THz imaging in clinical research. METHODS: The literature search was conducted in the Web of Science and PubMed databases using the keywords "Terahertz imaging", "Breast", "Brain", "Skin" and "Cancer". A total of 94 English language articles from 1 January, 2017 to 30 December, 2022 were reviewed. KEY CONTENT AND FINDINGS: In this review, we briefly introduced the recent advances in THz near-field imaging, single-pixel imaging and real-time imaging, the applications of THz imaging for detecting breast, brain and skin tissues in the last 6 years were reviewed, and the advantages and existing challenges were identified. It is necessary to combine machine learning and metamaterials to develop real-time THz devices with small size, low cost and high sensitivity that can be widely used in clinical practice. More powerful THz detectors can be developed by combining graphene, designing structures and other methods to improve the sensitivity of the devices and obtain more accurate information. Establishing a THz database is one of the important methods to improve the repeatability and accuracy of imaging results. CONCLUSIONS: THz technology is an effective method for tumor imaging. We believe that with the joint efforts of researchers and clinicians, accurate, real-time, and safe THz imaging will be widely applied in clinical practice in the future.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/1b8cec77ad79/qims-13-12-8768-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/2d6fa6db465c/qims-13-12-8768-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/53c42c59ba7a/qims-13-12-8768-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/9aa50fae9842/qims-13-12-8768-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/a188e77926d9/qims-13-12-8768-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/1b8cec77ad79/qims-13-12-8768-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/2d6fa6db465c/qims-13-12-8768-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/53c42c59ba7a/qims-13-12-8768-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/9aa50fae9842/qims-13-12-8768-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/a188e77926d9/qims-13-12-8768-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c6/10722018/1b8cec77ad79/qims-13-12-8768-f5.jpg

相似文献

[1]
Biomedical application of terahertz imaging technology: a narrative review.

Quant Imaging Med Surg. 2023-12-1

[2]
Advances in terahertz technology for cancer detection applications.

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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
The medical application of terahertz technology in non-invasive detection of cells and tissues: opportunities and challenges.

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引用本文的文献

[1]
Rapid diagnosis of TERT promoter mutation using Terahertz absorption spectroscopy in glioblastoma.

Sci Rep. 2025-5-27

[2]
Effect of terahertz radiation on cells and cellular structures.

Front Optoelectron. 2025-1-27

本文引用的文献

[1]
Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning.

J Infrared Millim Terahertz Waves. 2022-1

[2]
Real-Time Megapixel Electro-Optical Imaging of THz Beams with Probe Power Normalization.

Sensors (Basel). 2022-6-14

[3]
Dual-color terahertz spatial light modulator for single-pixel imaging.

Light Sci Appl. 2022-6-23

[4]
The medical application of terahertz technology in non-invasive detection of cells and tissues: opportunities and challenges.

RSC Adv. 2019-3-22

[5]
Incidence Trends and Survival Prediction of Malignant Skin Cancer: A SEER-Based Study.

Int J Gen Med. 2022-3-15

[6]
Temperature dependent terahertz spectroscopy and imaging of orthotopic brain gliomas in mouse models.

Biomed Opt Express. 2021-12-6

[7]
THz medical imaging: from in vitro to in vivo.

Trends Biotechnol. 2022-7

[8]
Basal cell carcinoma: Comprehensive clinical and histopathological aspects, novel imaging tools and therapeutic approaches (Review).

Exp Ther Med. 2022-1

[9]
Understanding breast cancer as a global health concern.

Br J Radiol. 2022-2-1

[10]
Estimation of Breast Cancer Tissue Volume in Subcutaneous Xenotransplantation Mouse Models by Using a High-Sensitivity Fiber-Based Terahertz Scanning Imaging System.

Front Genet. 2021-9-27

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