Hit or a miss: Concordance between histopathologic-endoscopic findings in gastric mucosal biopsies

Fengming Chen, Yongjun Liu, Annie Tsay, Brian P. McAllister, Dipti M. Karamchandani

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Background: Current literature shows a variable degree of concordance between endoscopic and histopathologic findings in gastric mucosal biopsies. Most prior studies have focused on specific gastric entities such as gastritis in patients with high prevalence of Helicobacter pylori (H. pylori). In this study, we assess concordance between histologic and endoscopic findings in a wide spectrum of targeted as well as non-targeted gastric endoscopic biopsies. Methods: We retrospectively reviewed pathology database and slides at Hershey Medical Center to identify 630 gastric mucosal biopsies obtained from 525 consecutive patients. The corresponding clinical and endoscopic findings were retrieved from the electronic medical record. Results: The rate of abnormal endoscopic and histologic findings was 72.9% and 74.4%, respectively, with Cohen's ĸ coefficient of 0.24. There were 444 (70.5%) concordant cases and 186 (29.5%) discordant cases (88 cases with abnormal endoscopy but normal histology, and 98 cases with normal endoscopy but abnormal histology). Some endoscopic findings, in particular, mass, polyp, ulcer, and nodule/papule were highly concordant with abnormal histopathologic findings; while other endoscopic findings such as inflammatory changes, normal and prominent folds were associated with normal and a variety of abnormal histopathology. Multivariate analysis showed no significant association between intestinal metaplasia and H. pylori in this study. Conclusions: Histopathologic-endoscopic correlation in gastric biopsies varies depending on endoscopic mucosal patterns. Intestinal metaplasia may not have a significant association with H. pylori infection in populations with low prevalence of H. pylori.

Original languageEnglish (US)
Pages (from-to)106-114
Number of pages9
JournalAnnals of Diagnostic Pathology
StatePublished - Feb 2019

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine


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