Evidence map›Paper›PMID 36456811›Full record

ArticleScientific reports2022

Unsupervised determination of lung tumor margin with widefield polarimetric second-harmonic generation microscopy.

Kamdin Mirsanaye, Leonardo Uribe Castaño, Yasmeen Kamaliddin, Ahmad Golaraei, Lukas Kontenis, Edvardas Ẑurauskas, Roya Navab, Kazuhiro Yasufuku, Ming-Sound Tsao, Brian C Wilson and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Kamdin MirsanayeDepartment of Physics, University of Toronto, Toronto, Canada.
Leonardo Uribe CastañoDepartment of Physics, University of Toronto, Toronto, Canada.
Yasmeen KamaliddinDepartment of Physics, University of Toronto, Toronto, Canada.
Ahmad GolaraeiDepartment of Physics, University of Toronto, Toronto, Canada.
Lukas KontenisLaser Research Centre, Faculty of Physics, Vilnius University, Vilnius, Lithuania.
Edvardas ẐurauskasDepartment of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Roya NavabPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Kazuhiro YasufukuToronto General Hospital, University Health Network, Toronto, Canada.
Ming-Sound TsaoPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Brian C WilsonPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Virginijus BarzdaDepartment of Physics, University of Toronto, Toronto, Canada. virgis.barzda@utoronto.ca.
University of Toronto · CAVilnius University · LTUniversity Health Network · CAToronto General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extracellular matrix (ECM) is amongst many tissue components affected by cancer, however, morphological changes of the ECM are not well-understood and thus, often omitted from diagnostic considerations. Polarimetric second-harmonic generation (P-SHG) microscopy allows for visualization and characterization of collagen ultrastructure in the ECM, aiding in better understanding of the changes induced by cancer throughout the tissue. In this paper, a large region of hematoxylin and eosin (H&E) stained human lung section, encompassing a tumor margin, connecting a significant tumor portion to normal tissue was imaged with P-SHG microscopy. The resulting polarimetric parameters were utilized in principal components analysis and unsupervised K-Means clustering to separate normal- and tumor-like tissue. Consequently, a pseudo-color map of the clustered tissue regions is generated to highlight the irregularity of the ECM collagen structure throughout the region of interest and to identify the tumor margin, in the absence of morphological characteristics of the cells.

Indexed as

Lung NeoplasmsSecond Harmonic Generation MicroscopyExtracellular MatrixHumansMargins of ExcisionSpectrum Analysis

Identifiers

PMID36456811
PMCPMC9715953
OpenAlexW4310707684

What OpenQuestion holds

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LicenceCC BY
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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.