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Endoscopy altered the practice of gastroenterology by providing nonoperative access to the gastrointestinal (GI) tract and the pancreaticobiliary system. The detection of microscopic and biochemical changes within the mucosa and submucosa, however, has remained beyond the realm of routine endoscopy. Distinguishing hyperplastic from neoplastic polyps, differentiating malignant from benign ulcers, and detecting mucosal dysplasia in patients with inflammatory bowel disease or Barrett’s esophagus (BE) remains within the purview of the GI pathologist. In particular, endoscopic detection of dysplasia relies on the recognition of visible lesions (e.g., adenomatous polyps, dysplasia-associated lesion, or mass), or random sampling of tissue (biopsy). Endoscopy alone can neither reliably detect regions of invisible or flat dysplasia nor distinguish dysplasia from nondysplastic changes within visible lesions. Histological examination of the excised material is required to diagnose and locate dysplasia. Random biopsy techniques are subject to sampling errors and increased risk because of long procedure time and multiple biopsy sites. In patients with inflammatory bowel disease, it has been estimated that a total of 33 and 56 biopsy specimens are required for a 90 and 95% confidence to detect dysplasia or carcinoma (1).
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |