Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

National Institute of Environmental Health Sciences

Use this QR code to view the newest version of this document
Use this QR code to view the newest version of this document

Your Environment. Your Health.

Publication Detail

Title: Image Analysis of Eosinophil Peroxidase Immunohistochemistry for Diagnosis of Eosinophilic Esophagitis.

Authors: Wright, Benjamin L; Doyle, Alfred D; Shim, Kelly P; Pai, Rish K; Barshow, Suzanne M; Horsley-Silva, Jennifer L; Luo, Huijun; Rank, Matthew A; Jacobsen, Elizabeth A; Katzka, David A; Kita, Hirohito; Dellon, Evan S

Published In Dig Dis Sci, (2021 03)

Abstract: BACKGROUND: Diagnosis of eosinophilic esophagitis (EoE) requires manual quantification of tissue eosinophils. Eosinophil peroxidase (EPX) is an eosinophil-specific, cytoplasmic granule protein released during degranulation. AIMS: The objective of this study was to evaluate image analysis of EPX immunohistochemistry as an automated method for histologic diagnosis of EoE. METHODS: We performed a secondary analysis of prospectively collected esophageal biopsies obtained from adult subjects with EoE and controls. Tissue sections were stained with hematoxylin and eosin (H&E) and evaluated for peak eosinophils per high power field (eos/hpf). The same slides were de-stained and re-stained to detect EPX for direct comparison. Slides were digitized, and EPX staining area/mm2 was quantified using image analysis. Paired samples were compared for changes in EPX staining in treatment responders and non-responders. RESULTS: Thirty-eight EoE cases and 49 controls were analyzed. Among EoE subjects, matched post-treatment biopsies were available for 21 responders and 10 non-responders. Baseline EPX/mm2 was significantly increased in EoE subjects and decreased in treatment responders. EPX quantification correlated strongly with eos/hpf (r = 0.84, p < 0.0001) and identified EoE subjects with high diagnostic accuracy (AUC 0.95, p < 0.0001). The optimal diagnostic EPX-positive pixel/area threshold was 17,379 EPX/mm2. Several controls (5/49) with < 15 eos/hpf on H&E staining exceeded this cutoff. CONCLUSIONS: EPX/mm2 correlates strongly with eos/hpf, accurately identifies subjects with EoE, and decreases in treatment responders. Automated quantification of intact eosinophils and their degranulation products may enhance pathologic assessment. Future studies are needed to correlate EPX/mm2 with symptoms, endoscopic findings, and esophageal distensibility.

PubMed ID: 32248390 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

Back
to Top