Evidence map›Paper›PMID 40322005›Full record

ArticleBiomedical optics express2025

Identifying phenotypes of colorectal malignant tumors using the quasi-bound state in the continuum of a terahertz metasurface biosensor.

Hongji Xu, Hongye Wang, Xiang Yang, Iver Grønlien, Arthur Georg Serville Torvund, Angelos Xomalis, Zhenyu Zhao

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Hongji XuDepartment of Physics, Shanghai Normal University, Shanghai 200234, China.
Hongye WangDepartment of Physics, Shanghai Normal University, Shanghai 200234, China.
Xiang YangDepartment of Laboratory Medicine, Southwest Hospital of Army Medical University, Chongqing 400038, China.
Iver GrønlienNanoelectronics and Photonics Group, Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Arthur Georg Serville TorvundNanoelectronics and Photonics Group, Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Angelos XomalisNanoelectronics and Photonics Group, Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim 7491, Norway.ORCID https://orcid.org/0000-0001-8406-9571
Zhenyu ZhaoDepartment of Physics, Shanghai Normal University, Shanghai 200234, China.ORCID https://orcid.org/0000-0002-4068-7172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid and non-invasive method to identify phenotypes of colorectal malignant tumors is of vital importance for oncological surgery and further development of corresponding anti-tumor drugs. Herein, we demonstrate an approach to detect colorectal adenocarcinoma and colorectal cancer using the quasi-bound state in the continuum (q-BIC) resonance of a metasurface-based terahertz biosensor. We found that the colorectal adenocarcinoma leads to a 40 GHz q-BIC resonance shift compared to healthy colorectal cells. In addition, we found that colorectal cancer results in a q-BIC resonance red-shift of about 60 to 80 GHz. Both colorectal adenocarcinoma and cancer increase the linewidth of q-BIC resonance compared to healthy colorectal cells. The electric permittivity change confirms the aforementioned frequency shift, which is attributed to the water content of different colorectal malignant tumor cells. Our results highlight that the q-BIC resonance of a terahertz photonic biosensor offers a rapid and non-invasive methodology for identifying different colorectal malignant tumors, which accelerates oncological diagnosis.

Identifiers

PMID40322005
PMCPMC12047722

What Socratic holds

Textmetadata
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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 Socratic graph.