Evidence map›Paper›PMID 39144083›Full record

ArticleFrontiers in veterinary science2024

Validation of a semi-quantitative scoring system and workflow for analysis of fluorescence quantification in companion animals.

Ann S Ram, Kathy Matuszewska, Charly McKenna, Jim Petrik, Michelle L Oblak

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in veterinary science, 2024. 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

5 authors.

Ann S RamDepartment of Biomedical Sciences, University of Guelph, Guelph, ON, Canada.
Kathy MatuszewskaDepartment of Biomedical Sciences, University of Guelph, Guelph, ON, Canada.
Charly McKennaDepartment of Clinical Studies, University of Guelph, Guelph, ON, Canada.
Jim PetrikDepartment of Biomedical Sciences, University of Guelph, Guelph, ON, Canada.
Michelle L OblakDepartment of Clinical Studies, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Many commercially available near-infrared (NIR) fluorescence imaging systems lack algorithms for real-time quantifiable fluorescence data. Creation of a workflow for clinical assessment and Aim: Scoring systems and verified image analysis are employed to determine the amount and intensity of fluorescence within surgical specimens both intra and postoperatively. Approach: Lymph nodes from canine cancer patients were obtained during lymph node extirpation following peritumoral injection of indocyanine green (ICG). First, a semi-quantitative assessment of surface fluorescence was evaluated. Images obtained with a NIR exoscope were analysed to determine fluorescence thresholds and measure fluorescence amount and intensity. Results: Conclusion: The validation of the semi-quantitative scoring system by image analysis provides a method for objective

Indexed as

canine cancerfluorescence-guided surgeryindocyanine greenNIR imagingsentinel lymph node (SLN) mapping

Identifiers

PMID39144083
PMCPMC11322124

What OpenQuestion holds

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LicenceCC BY
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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.