Evidence map›Paper›PMID 36046441›Full record

ArticleBioMed research international2022

A Feasible Multimodal Photoacoustic Imaging Approach for Evaluating the Clinical Symptoms of Inflammatory Arthritis.

B Rajasekar, P Nirmala, P Bhuvaneswari, R Radhika, S Asha, K R Kavitha, Semagn Shifere Belay

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Carbon quantum dots in bioimaging and biomedicines.Frontiers in bioengineering and biotechnology · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

B RajasekarDepartment of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119 Tamil Nadu, India.ORCID https://orcid.org/0000-0003-1182-848X
P NirmalaDepartment of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Chennai, 602 105 Tamil Nadu, India.ORCID https://orcid.org/0000-0002-1435-2467
P BhuvaneswariDepartment of Electronics and Communication Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor, Andhra Pradesh 517127, India.ORCID https://orcid.org/0000-0001-8214-7521
R RadhikaDepartment of Electronics and Communication Engineering, S.A Engineering College, Chennai, 600077 Tamil Nadu, India.ORCID https://orcid.org/0000-0002-6230-956X
S AshaDepartment of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, 602105 Tamil Nadu, India.ORCID https://orcid.org/0000-0001-8131-536X
K R KavithaDepartment of Electronics and Communication Engineering, Sona College of Technology, Salem, 636005 Tamil Nadu, India.ORCID https://orcid.org/0000-0001-9728-5337
Semagn Shifere BelaySchool of Computing, Woldia Institute of Technology, Woldia University, Ethiopia.ORCID https://orcid.org/0000-0003-4491-6056
Saveetha University · INSathyabama Institute of Science and Technology · INSri Venkateswara University · INWoldia University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous traditional medical imaging methods, including computed tomography with X-rays, positron emission tomography (PET), and magnetic resonance imaging (MRI), are utilized frequently in medical settings to screen for illnesses, diagnose patients, and track the effectiveness of treatments. When examining bone protrusions, CT is preferred over MRI for scanning connective tissue. Although the picture quality of PET is inferior to that of CT and MR, it is outstanding for detecting the molecular markers and metabolic functions of illnesses. To give high-resolution structural pictures and improved ailment sensitivity and specificity within another image, multimodal data and substantial therapeutic influence on advanced diagnostics and therapeutics have been used. The goal was to evaluate the clinical significance of multimodal photoacoustic/ultrasound (PA/US) articular imaging scoring, a cutting-edge image technique that may show the microvessels and oxygen levels of rheumatoid arthritis-related inflamed joints (RA). The PA/US imaging technology analyzed seven tiny joints. The PA and power Doppler (PD) impulses were semiquantified using a 0-3 grading scale, and the averages of the PA and PD scores for the seven joints are computed. Three PA+SO

Indexed as

Arthritis, RheumatoidPhotoacoustic TechniquesHumansJointsMagnetic Resonance ImagingOxygenPositron-Emission TomographyOxygen

Identifiers

PMID36046441
PMCPMC9420593
OpenAlexW4292560471

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.