Evidence map›Paper›PMID 37999128›Full record

ArticleCurrent oncology (Toronto, Ont.)2023

Photon Absorption Remote Sensing Imaging of Breast Needle Core Biopsies Is Diagnostically Equivalent to Gold Standard H&E Histologic Assessment.

James E D Tweel, Benjamin R Ecclestone, Hager Gaouda, Deepak Dinakaran, Michael P Wallace, Gilbert Bigras, John R Mackey, Parsin Haji Reza

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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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

8 authors at 3 institutions in 1 country.

James E D TweelPhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID 0009-0008-0410-0048
Benjamin R EcclestonePhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Hager GaoudaPhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Deepak DinakaranIllumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada.
Michael P WallaceDepartment of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Gilbert BigrasDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2R3, Canada.
John R MackeyIllumisonics Inc., 22 King Street South, Suite 300, Waterloo, ON N2J 1N8, Canada.
Parsin Haji RezaPhotoMedicine Labs, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
University of Waterloo · CAIllumisonics (Canada) · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photon absorption remote sensing (PARS) is a new laser-based microscope technique that permits cellular-level resolution of unstained fresh, frozen, and fixed tissues. Our objective was to determine whether PARS could provide an image quality sufficient for the diagnostic assessment of breast cancer needle core biopsies (NCB). We PARS imaged and virtually H&E stained seven independent unstained formalin-fixed paraffin-embedded breast NCB sections. These identical tissue sections were subsequently stained with standard H&E and digitally scanned. Both the 40× PARS and H&E whole-slide images were assessed by seven breast cancer pathologists, masked to the origin of the images. A concordance analysis was performed to quantify the diagnostic performances of standard H&E and PARS virtual H&E. The PARS images were deemed to be of diagnostic quality, and pathologists were unable to distinguish the image origin, above that expected by chance. The diagnostic concordance on cancer vs. benign was high between PARS and conventional H&E (98% agreement) and there was complete agreement for within-PARS images. Similarly, agreement was substantial (kappa > 0.6) for specific cancer subtypes. PARS virtual H&E inter-rater reliability was broadly consistent with the published literature on diagnostic performance of conventional histology NCBs across all tested histologic features. PARS was able to image unstained tissues slides that were diagnostically equivalent to conventional H&E. Due to its ability to non-destructively image fixed and fresh tissues, and the suitability of the PARS output for artificial intelligence assistance in diagnosis, this technology has the potential to improve the speed and accuracy of breast cancer diagnosis.

Indexed as

Artificial IntelligenceBreast NeoplasmsBiopsyFemaleHumansRemote Sensing TechnologyReproducibility of Resultsbreast cancerbreast core biopsyconcordance analysisphoton absorption remote sensing (PARS)

Identifiers

PMID37999128
PMCPMC10670721
OpenAlexW4388407422

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.