Evidence map›Paper›PMID 37078035›Full record

ArticleBiomedical optics express2023

Terahertz imaging of human skin pathologies using laser feedback interferometry with quantum cascade lasers.

Xiaoqiong Qi, Karl Bertling, Mitchell S Stark, Thomas Taimre, Yung-Ching Kao, Yah Leng Lim, She Han, Blake O'Brien, Angus Collins, Michael Walsh and 10 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. TerahertzAPL bioengineering · 2024
    Article
  4. Article
  5. Article
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

20 authors at 5 institutions in 3 countries.

Xiaoqiong QiSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID https://orcid.org/0000-0003-3354-535X
Karl BertlingSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID https://orcid.org/0000-0003-1087-2315
Mitchell S StarkThe University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia.
Thomas TaimreSchool of Mathematics and Physics, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID https://orcid.org/0000-0003-4470-7668
Yung-Ching KaoThe University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia.
Yah Leng LimSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID https://orcid.org/0000-0002-3484-045X
She HanSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Blake O'BrienSullivan Nicolaides Pathology, Brisbane, QLD, Australia.
Angus CollinsSullivan Nicolaides Pathology, Brisbane, QLD, Australia.
Michael WalshSullivan Nicolaides Pathology, Brisbane, QLD, Australia.
Jari TorniainenSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Timothy GillespieSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Bogdan C DonoseSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Paul DeanSchool of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.ORCID https://orcid.org/0000-0002-3950-4359
Lian He LiSchool of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.ORCID https://orcid.org/0000-0003-4998-7259
Edmund H LinfieldSchool of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.ORCID https://orcid.org/0000-0001-6912-0535
A Giles DaviesSchool of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.ORCID https://orcid.org/0000-0002-1987-4846
Dragan IndjinSchool of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.ORCID https://orcid.org/0000-0002-9121-9846
H Peter SoyerThe University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD 4102, Australia.
Aleksandar D RakićSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID https://orcid.org/0000-0002-4615-2240
The University of Queensland · AUUniversity of Leeds · GBSullivan Nicolaides Pathology · AUGuenther Dermatology Research Centre · CAPrincess Alexandra Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of skin pathologies with current clinical diagnostic tools is challenging, particularly when there are no visible colour changes or morphological cues present on the skin. In this study, we present a terahertz (THz) imaging technology based on a narrow band quantum cascade laser (QCL) at 2.8 THz for human skin pathology detection with diffraction limited spatial resolution. THz imaging was conducted for three different groups of unstained human skin samples (benign naevus, dysplastic naevus, and melanoma) and compared to the corresponding traditional histopathologic stained images. The minimum thickness of dehydrated human skin that can provide THz contrast was determined to be 50 µm, which is approximately one half-wavelength of the THz wave used. The THz images from different types of 50 µm-thick skin samples were well correlated with the histological findings. The per-sample locations of pathology vs healthy skin can be separated from the density distribution of the corresponding pixels in the THz amplitude-phase map. The possible THz contrast mechanisms relating to the origin of image contrast in addition to water content were analyzed from these dehydrated samples. Our findings suggest that THz imaging could provide a feasible imaging modality for skin cancer detection that is beyond the visible.

Identifiers

PMID37078035
PMCPMC10110320
OpenAlexW4319962720

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.