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Gastric Cytology: A Supplement to Early Diagnosis of Gastric Malignancies

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Gastric malignancies are one of the leading causes of morbidity and mortality globally. Rapid accurate interpretation of gastric cytology aids in early diagnosis and management. This study evaluates the utility of gastric cytology in diagnosing gastric malignancies. Methods: This retrospective, cross-sectional study was conducted in the Department of Pathology for a period of 3.5 years. The cases with clinical suspicion of gastric malignancy and those who have had both cytology and histopathology examinations were included. Cytology results were reported as positive for malignancy, suspicious for malignancy, atypical cells-favor reactive, and negative for malignancy. The cytology and histopathology results were correlated, and descriptive statistics were used to analyze data. Results: Among 118 patients included in the study, 103 cases were malignant and 15 were nonmalignant. Out of 103 malignant cases, 89 cases were detected in cytology. False positive cases consisted of four gastritis cases with florid reactive atypia and one with moderate dysplasia. False negative cases were of diffuse and intestinal subtypes of adenocarcinoma, followed by non-Hodgkin lymphoma. Sensitivity and specificity were found to be 86.41% and 66.67%, respectively. The positive predictive value is 94.68% with 41.67% negative predictive value and a diagnostic accuracy of 83.90%. Conclusion: Gastric cytology is a reliable screening and diagnostic tool with a high positive predictive value and acceptable sensitivity. Negative cytology in suspected cases of gastric malignancy should always be correlated with biopsy reports. Diffuse type, intestinal type gastric adenocarcinoma and non-Hodgkin lymphoma were the major pitfall on cytology. The cells in the background must be meticulously observed for the malignant features. Gastric cytology is cost-effective and yields rapid diagnosis with a high positive predictive value, sensitivity, and diagnostic accuracy.

Original languageEnglish
Pages (from-to)161-166
Number of pages6
JournalDiagnostic Cytopathology
Volume53
Issue number4
DOIs
Publication statusAccepted/In press - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Histology

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