PMID- 34875014
OWN - NLM
STAT- MEDLINE
DCOM- 20220608
LR  - 20220712
IS  - 1943-7722 (Electronic)
IS  - 0002-9173 (Linking)
VI  - 157
IP  - 6
DP  - 2022 Jun 7
TI  - Quantitative Image Analysis as an Adjunct to Manual Scoring of ER, PgR, and HER2 
      in Invasive Breast Carcinoma.
PG  - 899-907
LID - 10.1093/ajcp/aqab206 [doi]
AB  - OBJECTIVES: Biomarker expression evaluation for estrogen receptor (ER), 
      progesterone receptor (PgR), and human epidermal growth factor receptor 2 (HER2) 
      is an essential prognostic and predictive parameter for breast cancer and 
      critical for guiding hormonal and neoadjuvant therapy. This study compared 
      quantitative image analysis (QIA) with pathologists' scoring for ER, PgR, and 
      HER2. METHODS: A retrospective analysis was undertaken of 1,367 invasive breast 
      carcinomas, including all histopathology subtypes, for which ER, PgR, and HER2 
      were analyzed by manual scoring and QIA. The resulting scores were compared, and 
      in a subset of HER2 cases (n = 373, 26%), scores were correlated with available 
      fluorescence in situ hybridization (FISH) results. RESULTS: Concordance between 
      QIA and manual scores for ER, PgR, and HER2 was 93%, 96%, and 90%, respectively. 
      Discordant cases had low positive scores (1%-10%) for ER (n = 33), were due to 
      nonrepresentative region selection (eg, ductal carcinoma in situ) or tumor 
      heterogeneity for PgR (n = 43), and were of one-step difference (negative to 
      equivocal, equivocal to positive, or vice versa) for HER2 (n = 90). Among HER2 
      cases where FISH results were available, only four (1.0%) showed discordant QIA 
      and FISH results. CONCLUSIONS: QIA is a computer-aided diagnostic support tool 
      for pathologists. It significantly improves ER, PgR, and HER2 scoring 
      standardization. QIA demonstrated excellent concordance with pathologists' 
      scores. To avoid pitfalls, pathologist oversight of representative region 
      selection is recommended.
CI  - (c) American Society for Clinical Pathology, 2021. All rights reserved. For 
      permissions, please e-mail: journals.permissions@oup.com.
FAU - Yousif, Mustafa
AU  - Yousif M
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
AD  - Department of Pathology, Vanderbilt University Medical Center, Nashville, TN  
      USA.
FAU - Huang, Yiyuan
AU  - Huang Y
AD  - Department of Biostatistics, University of Michigan, Ann Arbor, MI  USA.
FAU - Sciallis, Andrew
AU  - Sciallis A
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - Kleer, Celina G
AU  - Kleer CG
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - Pang, Judy
AU  - Pang J
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - Smola, Brian
AU  - Smola B
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - Naik, Kalyani
AU  - Naik K
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - McClintock, David S
AU  - McClintock DS
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - Zhao, Lili
AU  - Zhao L
AUID- ORCID: 0000-0002-6366-8206
AD  - Department of Biostatistics, University of Michigan, Ann Arbor, MI  USA.
FAU - Kunju, Lakshmi P
AU  - Kunju LP
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - Balis, Ulysses G J
AU  - Balis UGJ
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
FAU - Pantanowitz, Liron
AU  - Pantanowitz L
AD  - Department of Pathology, University of Michigan Medical School, Ann Arbor, MI  
      USA.
LA  - eng
PT  - Journal Article
PL  - England
TA  - Am J Clin Pathol
JT  - American journal of clinical pathology
JID - 0370470
RN  - 0 (Biomarkers, Tumor)
RN  - 0 (Receptors, Estrogen)
RN  - 0 (Receptors, Progesterone)
RN  - EC 2.7.10.1 (ERBB2 protein, human)
RN  - EC 2.7.10.1 (Receptor, ErbB-2)
SB  - IM
MH  - Biomarkers, Tumor/metabolism
MH  - *Breast Neoplasms/diagnosis
MH  - Female
MH  - Humans
MH  - In Situ Hybridization, Fluorescence
MH  - Receptor, ErbB-2/metabolism
MH  - Receptors, Estrogen/metabolism
MH  - *Receptors, Progesterone/metabolism
MH  - Retrospective Studies
OTO - NOTNLM
OT  - Biomarkers
OT  - Digital pathology
OT  - Invasive breast carcinoma
OT  - Quantitative image analysis
OT  - Whole slide imaging
EDAT- 2021/12/08 06:00
MHDA- 2022/06/09 06:00
CRDT- 2021/12/07 17:24
PHST- 2021/09/13 00:00 [received]
PHST- 2021/11/08 00:00 [accepted]
PHST- 2021/12/08 06:00 [pubmed]
PHST- 2022/06/09 06:00 [medline]
PHST- 2021/12/07 17:24 [entrez]
AID - 6454995 [pii]
AID - 10.1093/ajcp/aqab206 [doi]
PST - ppublish
SO  - Am J Clin Pathol. 2022 Jun 7;157(6):899-907. doi: 10.1093/ajcp/aqab206.