PMID- 32154039 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220729 IS - 2229-5089 (Print) IS - 2153-3539 (Electronic) VI - 11 DP - 2020 TI - A Validation Study of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry Digital Imaging Analysis and its Correlation with Human Epidermal Growth Factor Receptor 2 Fluorescence In situ Hybridization Results in Breast Carcinoma. PG - 2 LID - 10.4103/jpi.jpi_52_19 [doi] LID - 2 AB - BACKGROUND: The Visiopharm human epidermal growth factor receptor 2 (HER2) digital imaging analysis (DIA) algorithm assesses digitized HER2 immunohistochemistry (IHC) by measuring cell membrane connectivity. We aimed to validate this algorithm for clinical use by comparing with pathologists' scoring and correlating with HER2 fluorescence in situ hybridization (FISH) results. MATERIALS AND METHODS: The study cohort consisted of 612 consecutive invasive breast carcinoma specimens including 395 biopsies and 217 resections. HER2 IHC slides were scanned using Philips IntelliSite Scanners, and the digital images were analyzed using Visiopharm HER2-CONNECT App to obtain the connectivity values (0-1) and scores (0, 1+, 2+, and 3+). HER2 DIA scores were compared with Pathologists' manual scores, and HER2 connectivity values were correlated with HER2 FISH results. RESULTS: The concordance between HER2 DIA scores and pathologists' scores was 87.3% (534/612). All discordant cases (n = 78) were only one-step discordant (negative to equivocal, equivocal to positive, or vice versa). Five cases (0.8%) showed discordant HER2 IHC DIA and HER2 FISH results, but all these cases had relatively low HER2 copy numbers (between 4 and 6). HER2 IHC connectivity showed significantly better correlation with HER2 copy number than HER2/CEP17 ratio. CONCLUSIONS: HER2 IHC DIA demonstrates excellent concordance with pathologists' scores and accurately discriminates between HER2 FISH positive and negative cases. HER2 IHC connectivity has better correlation with HER2 copy number than HER2/CEP17 ratio, suggesting HER2 copy number may be more important in predicting HER2 protein expression, and response to anti-HER2-targeted therapy. CI - Copyright: (c) 2020 Journal of Pathology Informatics. FAU - Hartage, Ramon AU - Hartage R AD - Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA. FAU - Li, Aidan C AU - Li AC AD - Department of NA, Jerome High School, Dublin, OH 43017, USA. FAU - Hammond, Scott AU - Hammond S AD - Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA. FAU - Parwani, Anil V AU - Parwani AV AD - Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA. LA - eng PT - Journal Article DEP - 20200204 PL - United States TA - J Pathol Inform JT - Journal of pathology informatics JID - 101528849 PMC - PMC7032021 OTO - NOTNLM OT - Breast carcinoma OT - Visiopharm OT - digital imaging analysis OT - fluorescence in situ hybridization OT - human epidermal growth factor receptor 2 OT - immunohistochemistry COIS- There are no conflicts of interest. EDAT- 2020/03/11 06:00 MHDA- 2020/03/11 06:01 PMCR- 2020/02/04 CRDT- 2020/03/11 06:00 PHST- 2019/09/09 00:00 [received] PHST- 2019/10/16 00:00 [accepted] PHST- 2020/03/11 06:00 [entrez] PHST- 2020/03/11 06:00 [pubmed] PHST- 2020/03/11 06:01 [medline] PHST- 2020/02/04 00:00 [pmc-release] AID - S2153-3539(22)00231-0 [pii] AID - JPI-11-2 [pii] AID - 10.4103/jpi.jpi_52_19 [doi] PST - epublish SO - J Pathol Inform. 2020 Feb 4;11:2. doi: 10.4103/jpi.jpi_52_19. eCollection 2020.