Evidence map›Paper›PMID 38106329›Full record

ReviewQuantitative imaging in medicine and surgery2023

Biomedical application of terahertz imaging technology: a narrative review.

Mengyang Cong, Wen Li, Yang Liu, Jing Bi, Xiaokun Wang, Xueqiao Yang, Zihan Zhang, Xiaoxin Zhang, Ya-Nan Zhao, Rui Zhao and 1 more

Open access · diamondAbstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  11. Quantitative imaging of individual bacterial cells:Journal of biomedical optics · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Mengyang CongCollege of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, China.
Wen LiSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Yang LiuSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Jing BiSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Xiaokun WangSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Xueqiao YangSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Zihan ZhangSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Xiaoxin ZhangSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Ya-Nan ZhaoSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Rui ZhaoSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Jianfeng QiuSchool of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Shandong First Medical University · CNShandong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

brainbreastcancerskinTerahertz (THz) image

Identifiers

PMID38106329
PMCPMC10722018
OpenAlexW4388973751

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.