Ravi Patel, Ali Ghazanfar, Rida Fatima, Rushin Shah, Aman Patel, Vikash K Karmani, Devanshi Bhatt, Muhammad Bilal, Zarak H Khan, Haider Ghazanfar
Barrett's esophagus (BE), the intestinal metaplasia arising from chronic gastroesophageal reflux disease, is the principal identifiable precursor of esophageal adenocarcinoma (EAC), whose incidence rose from 0.4 to 2.8/100,000 person-years between 1975 and 2017 and whose prognosis, once symptomatic, remains poor. Because outcomes depend on intercepting the metaplasia-dysplasia-carcinoma sequence, diagnostic accuracy is decisive. White-light endoscopy with Seattle-protocol biopsy remains the reference standard, yet it is constrained by the following three interrelated weaknesses: sampling error, as random forceps biopsies interrogate only about 3.5% of the Barrett's mucosa; poor reproducibility of dysplasia grading, with interobserver agreement of only κ 0.24-0.27 for the pivotal distinction of low-grade dysplasia; and a substantial burden of missed disease, with roughly one-quarter of EACs diagnosed within a year of an index endoscopy reported as nondysplastic. This review synthesizes the technologies converging to address these gaps. Advanced imaging, encompassing high-definition endoscopy, narrow-band imaging, acetic acid chromoendoscopy, and the optical-biopsy platforms confocal laser and volumetric laser endomicroscopy, raises dysplasia yield by approximately 34% over standard white-light examination. Image-enhanced endoscopy improves targeted detection while remaining complementary to structured biopsy sampling. Molecular, genetic, and epigenetic biomarkers, notably DNA-content abnormalities, p53 immunohistochemistry, and multi-gene methylation panels, add an objective read on progression risk. Their pairing with non-endoscopic sampling, including Cytosponge-TFF3, capsule endoscopy, exhaled volatile organic compounds, and circulating microRNA liquid biopsy, is reshaping screening at population scale, while artificial intelligence standardizes interpretation and narrows the expert-nonexpert gap. Together these advances point toward a risk-stratified, multimodal paradigm, though prospective validation and cost-effectiveness evidence remain prerequisites for guideline adoption.