Original ContributionThe role of routine immunohistochemistry for Helicobacter pylori in gastric biopsy
Introduction
Helicobacter pylori (H pylori) is the major etiologic factor of peptic ulcer diseases and gastritis and is associated with gastric adenocarcinoma and lymphoma [1], [2], [3]. Efficient detection and demonstration of the organisms in biopsy specimens are very important for patient care. Eradication of H pylori infection can facilitate healing of ulcers and leads to regression of early stage mucosa-associated lymphoid tissue lymphoma [4], [5]. Both noninvasive and invasive techniques are available for H pylori detection [6]. The invasive techniques require endoscopy and biopsy. Endoscopic biopsy enables the simultaneous assessment of morphological changes associated with H pylori infections, such as the degree of severity and activity of the gastric inflammation and presence of intestinal metaplasia, dysplasia, lymphomas, or carcinomas.
Various methods are available for the detection of H pylori organisms in biopsy specimens, including rapid urease test (CLOtest), culture, hematoxylin and eosin (H&E), special stains (Gram stain, Giemsa stain, silver stains), and immunohistochemistry (IHC) [6], [7], [8], [9], [10], [11]. These tests vary in their sensitivity and specificity, and the choice of test may be dependent on availability, cost-effectiveness, and laboratory preference [12]. Immunohistochemistry was introduced in our laboratory as an automatic reflex stain on antral biopsies about a year ago, and the goal of this project is to evaluate the value of this new procedure.
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Material and method
All gastric biopsies received in the Department of Pathology at Louisiana State University Health Science Center-Shreveport between July 2008 and June 2009 were retrieved from the pathology database with the exclusion of malignant cases. The pathologic diagnoses and information on the presence of H pylori organisms on IHC were extracted from surgical reports. Immunohistochemistry stains were done using a rabbit polyclonal antibody against H pylori (Cell Margue, Ventana, catalogue: 760-2645,
Results
A total of 224 biopsies were qualified for the study, and all had H pylori IHC according to laboratory protocol. The surgical pathology diagnoses of the 224 biopsies were shown in Table 1, and the diagnostic categories included chronic active gastritis (68), chronic gastritis (76), no pathologic abnormality (50), reactive gastropathy (24), and fundic gland polyp (6). Intestinal metaplasia was observed in 18 biopsies, including 6 chronic active gastritis and 12 chronic gastritis. Fifty-four
Discussion
Documentation of the presence of H pylori organisms in a gastric biopsy is very important for standard patient care, and patients with documented H pylori infection are treated aggressively with a combination of proton pump inhibitors and antibiotics [13], [14]. Many special stain methods and IHC have been found to be effective for the detection of H pylori, and pathology laboratories use 1 or 2 staining methods as a routine protocol for easier and quick detection of the organisms [6], [7], [8]
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Selective staining of gastric biopsies for H. pylori does not affect detection rates or turnaround time and improves cost compared to reflexive staining
2017, Pathology Research and PracticeCitation Excerpt :The society recommends that special stains (IHC is preferred if available) only be used in the setting of gastric inflammation when H. pylori is not detectable by H&E or to “rule out” infection in patients with previously treated H. pylori gastritis [2]. While some studies have already demonstrated the unwarranted role reflexive ancillary stains play in the detection of H. pylori infection [2,8,9,11,12], no study has examined the actual impact on H. pylori detection rates, laboratory costs, and turnaround time a laboratory experiences when it switches from a policy of reflexive staining to selective staining. Our institution recently made such a policy change, and the following study examines the affect this change had on these important variables.
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