Evidence map›Paper›PMID 34518629›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2022

Digital validation of breast biomarkers (ER, PR, AR, and HER2) in cytology specimens using three different scanners.

Abeer M Salama, Matthew G Hanna, Dilip Giri, Brie Kezlarian, Marc-Henri Jean, Oscar Lin, Christina Vallejo, Edi Brogi, Marcia Edelweiss

Open access · greenAbstract readValidation Study
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2022. 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
1.3field-weighted citation impact, top 16% 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, 12 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Abeer M Salama *Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Matthew G Hanna *Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Dilip GiriDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Brie KezlarianDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Marc-Henri JeanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Oscar LinDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Christina VallejoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Edi BrogiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0003-4737-8468
Marcia EdelweissDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA. edelweim@mskcc.org.ORCID http://orcid.org/0000-0001-6288-5244
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Progression in digital pathology has yielded new opportunities for a remote work environment. We evaluated the utility of digital review of breast cancer immunohistochemical prognostic markers (IHC) using whole slide images (WSI) from formalin fixed paraffin embedded (FFPE) cytology cell block specimens (CB) using three different scanners.CB from 20 patients with breast cancer diagnosis and available IHC were included. Glass slides including 20 Hematoxylin and eosin (H&E), 20 Estrogen Receptor (ER), 20 Progesterone Receptor (PR), 16 Androgen Receptor (AR), and 20 Human Epidermal Growth Factor Receptor 2 (HER2) were scanned on 3 different scanners. Four breast pathologists reviewed the WSI and recorded their semi-quantitative scoring for each marker. Kappa concordance was defined as complete agreement between glass/digital pairs. Discordances between microscopic and digital reads were classified as a major when a clinically relevant change was seen. Minor discordances were defined as differences in scoring percentages/staining pattern that would not have resulted in a clinical implication. Scanner precision was tabulated according to the success rate of each scan on all three scanners.In total, we had 228 paired glass/digital IHC reads on all 3 scanners. There was strong concordance kappa ≥0.85 for all pathologists when comparing paired microscopic/digital reads. Strong concordance (kappa ≥0.86) was also seen when comparing reads between scanners.Twenty-three percent of the WSI required rescanning due to barcode detection failures, 14% due to tissue detection failures, and 2% due to focus issues. Scanner 1 had the best average precision of 92%. HER2 IHC had the lowest intra-scanner precision (64%) among all stains.This study is the first to address the utility of WSI in breast cancer IHC in CB and to validate its reporting using 3 different scanners. Digital images are reliable for breast IHC assessment in CB and offer similar reproducibility to microscope reads.

Indexed as

Biomarkers, TumorBreast NeoplasmsCohort StudiesErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryPathology, SurgicalPrognosisRandom AllocationReceptors, AndrogenReceptors, EstrogenReceptors, ProgesteroneBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, AndrogenReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID34518629
PMCPMC8702445
OpenAlexW3199468809

What OpenQuestion holds

Textmetadata
LicenceTDM
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.