Evidence map›Paper›PMID 39346988›Full record

ArticleBiomedical optics express2024

Widefield polarization-resolved second harmonic generation imaging of entire thyroid nodule sections for the detection of capsular invasion.

Lucian G Eftimie, Yaraslau Padrez, Lena Golubewa, Danielis Rutkauskas, Radu Hristu

Abstract read
In one paragraph

Article in Biomedical optics express, 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.

Lucian G EftimieCentral University Emergency Military Hospital, Pathology Department, 134 Calea Plevnei, 010825 Bucharest, Romania.
Yaraslau PadrezCenter for Physical Sciences and Technology, Sauletekio Ave. 3, LT-10257 Vilnius, Lithuania.ORCID https://orcid.org/0000-0003-0852-6579
Lena GolubewaCenter for Physical Sciences and Technology, Sauletekio Ave. 3, LT-10257 Vilnius, Lithuania.ORCID https://orcid.org/0000-0003-2125-6366
Danielis RutkauskasCenter for Physical Sciences and Technology, Sauletekio Ave. 3, LT-10257 Vilnius, Lithuania.
Radu HristuCenter for Microscopy-Microanalysis and Information Processing, National University of Science and Technology Politehnica Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.ORCID https://orcid.org/0000-0001-8051-8253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of tumor capsular invasion as a sign of malignancy is currently employed in traditional histopathology routines for thyroid nodules. However, its limitations are associated with the assessment criteria for invasion, which often lead to disagreements among observers. The aim of this paper is to introduce a widefield imaging technique combined with quantitative collagen analysis to identify areas of capsular invasion in thyroid neoplasms. In this study, we introduce the application of widefield polarization-resolved second harmonic generation microscopy for imaging entire thyroid nodule sections on histological slides. We employ a cylindrical collagen model to extract parameters associated with the ultrastructure and orientation of collagen within the entire capsule of the thyroid nodule. We showcase the effectiveness of these parameters in distinguishing between areas of nodule capsule invasion and unaffected regions of the capsule through statistical analysis of individual parameters and employing a machine learning technique that involves generating maps via cluster analysis. Our results suggest that quantitative analysis facilitated by polarization-resolved widefield second harmonic generation microscopy could prove beneficial for the automated evaluation of capsular invasion sites in thyroid pathology.

Identifiers

PMID39346988
PMCPMC11427203

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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.