Evidence map›Paper›PMID 39482347›Full record

ArticleScientific reports2024

Reflection mode polarimetry guides laser mass spectrometry to diagnostically important regions of human breast cancer tissue.

Michael D Singh, Lan Anna Ye, Michael Woolman, Francis Talbot, Arash Zarrine-Afsar, Alex Vitkin

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Journal of biomedical optics · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Michael D SinghDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada. michaeldhillon.singh@mail.utoronto.ca.
Lan Anna YePrincess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada.
Michael WoolmanDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Francis TalbotPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada.
Arash Zarrine-AfsarDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Alex VitkinDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.

Funding

CIHR CIHR, PJT-156110Natural Sciences and Engineering Research Council of Canada RGPIN-2018-04930New Frontiers in Research Fund NFRFE-2019-01049
6 · The paper itself

Abstract

To enhance the clinical utility of mass spectrometry (MS), lengthy dwell times on less informative regions of patient specimens (e.g., adipose tissue in breast) must be minimized. Additionally, a promising variant of MS known as picosecond infrared laser MS (PIRL-MS) faces further challenges, namely, lipid contamination when probing adipose tissue. Here we demonstrate on several thick non-sectioned resected human breast specimens (healthy and malignant) that reflection-mode polarimetric imaging can robustly guide PIRL-MS toward regions devoid of significant fat content to (1) avoid signal contamination and (2) shorten overall MS analysis times. Through polarimetric targeting of non-fat regions, PIRL-MS sampling revealed feature-rich spectral signatures including several known breast cancer markers. Polarimetric guidance mapping was enabled by circular degree-of-polarization (DOP) imaging via both Stokes and Mueller matrix polarimetry. These results suggest a potential synergistic hybrid approach employing polarimetry as a wide-field-imaging guidance tool to optimize efficient probing of tissue molecular content using MS.

Indexed as

Breast NeoplasmsMass SpectrometryAdipose TissueBiomarkers, TumorBreastFemaleHumansLasersBiomarkers, TumorBreast cancerDegree of polarizationImage guidanceLaser mass spectrometryPolarimetrySegmentation

Identifiers

PMID39482347
PMCPMC11527875

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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.