Evidence map›Paper›PMID 36765152›Full record

ArticleScientific reports2023

Regression analysis on forward modeling of diffuse optical tomography system for carcinoma cell detection.

K Uma Maheswari, M Thilak, N SenthilKumar, N Nagaprasad, Leta Tesfaye Jule, Venkatesh Seenivasan, Krishnaraj Ramaswamy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

K Uma MaheswariDepartment of Electronics and Communication Engineering, SRM TRP Engineering College, Trichy, India.
M ThilakDepartment of Mechanical Engineering, SRM TRP Engineering College, Trichy, India.
N SenthilKumarDepartment of Mechanical Engineering, SRM TRP Engineering College, Trichy, India.
N NagaprasadDepartment of Mechanical Engineering, ULTRA College of Engineering and Technology, Madurai, 625 104, Tamil Nadu, India.
Leta Tesfaye JuleDepartment of Physics, College of Natural and Computational Science, Dambi Dollo University, Dembi Dolo, Ethiopia.
Venkatesh SeenivasanDepartment of Mechanical Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
Krishnaraj RamaswamyCentre for Excellence-Indigenous Knowledge, Innovative Technology Transfer and Entrepreneurship, Dambi Dollo University, Dembi Dolo, Ethiopia. prof.dr.krishnaraj@dadu.edu.et.
SRM Institute of Science and Technology · INDambi Dollo UniversitySri Eshwar College of Engineering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The forward model design was employed in the Diffuse Optical Tomography (DOT) system to determine the optimal photonic flux in soft tissues like the brain and breast. Absorption coefficient (mua), reduced scattering coefficient (mus), and photonic flux (phi) were the parameters subjected to optimization. The Box-Behnken Design (BBD) method of the Response Surface Methodology (RSM) was applied to enhance the Diffuse Optical Tomography experimental system. The DC modulation voltages applied to different laser diodes of 850 nm and 780 nm wavelengths and spacing between the source and detector are the two factors operating on three optimization parameters that predicted the result through two-dimensional tissue image contours. The analysis of the Variance (ANOVA) model developed was substantial (R

Indexed as

CarcinomaTomography, OpticalAnimalsHumansMiceOptics and PhotonicsRegression AnalysisSpectrum Analysis

Identifiers

PMID36765152
PMCPMC9918525
OpenAlexW4319925049

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.