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Esophageal and gastric cancers remain leading causes of gastrointestinal cancer-related mortality worldwide1,2. Despite recent advancements in diagnostic and therapeutic modalities, early detection remains the most critical factor in improving patient survival and quality of life3. The accurate identification and timely management of upper gastrointestinal precancerous lesions—spanning mild, moderate, and severe dysplasia—are therefore essential4. However, under conventional endoscopy, these precursor lesions frequently present with only subtle mucosal changes, poorly defined margins, and heterogeneous distributions. Consequently, accurate diagnosis relies heavily on the endoscopist’s ability to visually identify and sample the most representative high-risk areas against a complex background mucosa5.
In standard clinical practice, biopsies guided by conventional white-light endoscopy (WLE) remain highly subjective. Endoscopists typically select targets based on macroscopic features such as surface erythema, depression, hypopigmentation, or nodularity, and may resort to random multi-quadrant sampling for extensive lesions. This experience-based paradigm has significant limitations. Given the patchy distribution and cellular heterogeneity of dysplasia, the highest-grade neoplastic cells often occupy only a restricted fraction of the total lesion area6,7. Because conventional WLE cannot readily resolve these subtle histological variations, empirical biopsy protocols frequently result in sampling error, pathological under-grading, and missed diagnoses. Furthermore, the necessity for multiple or repeat biopsies increases procedural time, exacerbates patient discomfort, and induces mucosal scarring that complicates subsequent endoscopic surveillance or resection8.
The rationale behind using magnifying endoscopy combined with narrow-band imaging (ME-NBI) is its ability to address these optical limitations. Recent assessments of narrow-band imaging algorithms support the use of advanced optical techniques for resolving subtle microvascular and mucosal variations beyond conventional white-light imaging9. Furthermore, comparative evidence underscores that hyperspectral reconstruction of standard white-light endoscopy substantially improves the precise segmentation of early precancerous boundaries10. By filtering broadband white light and leveraging the specific absorption peaks of hemoglobin, ME-NBI significantly enhances the optical contrast of the superficial mucosal microstructure and microvascular architecture. This optical magnification enables gastroenterologists to distinctly visualize morphological aberrations in epithelial gland openings and capillary loops. However, despite its diagnostic utility, a universally standardized workflow for its application in targeted biopsies remains undefined. Decisions regarding when to initiate magnified observation, how to weight specific morphological criteria, and precisely where to biopsy rely predominantly on subjective physician experience. This lack of standardization leads to notable discrepancies in diagnostic accuracy and interobserver agreement, particularly among endoscopists with varying levels of expertise11.
The overall goal of this method is to establish and systematically evaluate a reproducible, evidence-guided workflow for targeted biopsies of upper gastrointestinal precancerous lesions using ME-NBI. This protocol clearly defines the sequential screening steps, the indications for magnified observation, the criteria for recognizing high-risk focal areas, and the rules for optimizing biopsy allocation. Operationally, high-risk focal regions are delineated by a distinct demarcation line, which encapsulates localized structural disruptions. Within these demarcated borders, the workflow directs investigators to identify irregular microsurface patterns, microvascular abnormalities, and severe glandular distortion as actionable indicators for targeted sampling. The primary advantage of this technique over conventional empirical biopsy is its ability to reduce subjective variation, thereby increasing the detection rate of high-risk histopathology and improving the diagnostic yield per biopsy sample while reducing unnecessary sampling. Ultimately, this workflow provides clinicians with a standardized framework to improve diagnostic consensus across clinical teams, offering an objective methodology for endoscopy facilities aiming to improve the early detection of gastrointestinal neoplasia12.