Evidence map›Paper›PMID 26417516›Full record

ArticleBiomedical optics express2015

Ultrastructural features of collagen in thyroid carcinoma tissue observed by polarization second harmonic generation microscopy.

Danielle Tokarz, Richard Cisek, Ahmad Golaraei, Sylvia L Asa, Virginijus Barzda, Brian C Wilson

Abstract read
In one paragraph

Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  10. Characterization of pathological thyroid tissue using polarization-sensitive second harmonic generation microscopy.Laboratory investigation; a journal of technical methods and pathology · 2020
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  11. Review
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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

6 authors.

Danielle TokarzPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada.
Richard CisekDepartment of Physics, Institute for Optical Sciences and Department of Physical and Chemical Sciences, University of Toronto, 3359 Mississauga Road North, Mississauga, ON L5L 1C6, Canada.
Ahmad GolaraeiDepartment of Physics, Institute for Optical Sciences and Department of Physical and Chemical Sciences, University of Toronto, 3359 Mississauga Road North, Mississauga, ON L5L 1C6, Canada.
Sylvia L AsaUniversity Health Network/University of Toronto, 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada.
Virginijus BarzdaDepartment of Physics, Institute for Optical Sciences and Department of Physical and Chemical Sciences, University of Toronto, 3359 Mississauga Road North, Mississauga, ON L5L 1C6, Canada ; virgis.barzda@utoronto.ca.
Brian C WilsonPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in collagen ultrastructure between malignant and normal human thyroid tissue were investigated ex vivo using polarization second harmonic generation (SHG) microscopy. The second-order nonlinear optical susceptibility tensor component ratio and the degree of linear polarization (DOLP) of the SHG signal were measured. The ratio values are related to the collagen ultrastructure, while DOLP indicates the relative amount of coherent signal and incoherent scattering of SHG. Increase in ratio values and decrease in DOLP were observed for tumor tissue compared to normal thyroid, indicating higher ultrastructural disorder in tumor collagen.

Indexed as

(170.3880) Medical and biological imaging(170.4730) Optical pathology(170.6935) Tissue characterization(180.4315) Nonlinear microscopy

Identifiers

PMID26417516
PMCPMC4574672

What OpenQuestion holds

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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.