Evidence map›Paper›PMID 38982022›Full record

ArticleCell biochemistry and biophysics2024

Development and Enhancement of PCF-based Sensors for Terahertz-frequency Region Breast Cancer Cell Detection.

A H M Iftekharul Ferdous, Laxmi Rani, Md Safiul Islam, Khalid Sifulla Noor, Sourav Roy, Mahmoud M A Eid, Ahmed Nabih Zaki Rashed

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Article in Cell biochemistry and biophysics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

A H M Iftekharul FerdousDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh. digonto_eee3@yahoo.com.
Laxmi RaniDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh.
Md Safiul IslamDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh.
Khalid Sifulla NoorDepartment of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, 6600, Pabna, Bangladesh.
Sourav RoyDepartment of Mechatronics, Khulna University of Engineering and Technology, Khulna, 9203, Khulna, Bangladesh.
Mahmoud M A EidDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.
Ahmed Nabih Zaki RashedElectronics and Electrical Communications Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menoufia, 32951, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In today's medical research, breast cancer is a severe problem, so it is imperative to develop a reliable and efficient approach for identifying cancerous breast cells. PCF, with its exceptional sense-making abilities, simplifies and distinguishes that procedure. The research presents a unique structural hybrid PCF for detecting breast cancer cells using sensors based on PCF that are specifically built for the terahertz-frequency range. The improvement in sensor sensitivity and specificity in identifying cancer cells at these frequencies is a notable progress compared to conventional approaches, which could potentially result in earlier and more precise diagnosis. In our analysis, we discovered the most common malignancies in breast cancer. We investigate the features of the cancerous cell detector using the COMSOL-Multiphysics 5.6 software. This PCF detector achieves a Confinement Loss of 4.75 × 10

Indexed as

Breast NeoplasmsBiosensing TechniquesCell Line, TumorFemaleHumansSoftwareConfinement Loss (CL)Effective Area (EA)Effective Material Loss (EML)Numerical Aperture (NA)Photonic Crystal Fiber (PCF)Relative Sensitivity (RS)

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Registered trials

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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.