ArticleQuantitative imaging in medicine and surgery2025
Diagnostic performance of white light endoscopy, narrow band imaging, and flexible spectral imaging color enhancement for early gastric cancer: a systematic review and meta-analysis.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Application of Artificial Intelligence in the Endoscopic Diagnosis of Gastric Cancer and Precancerous Lesions.Diagnostics (Basel, Switzerland) · 2026Review
- Factors influencing subjective well-being in individuals with functional dyspepsia - a path analysis of sex and psychological factors.Frontiers in medicine · 2026Article
- Integrated bioinformatic and machine learning analysis identifies MCM7 and ADAM17 as potential biomarkers for early stage gastric cancer.Journal of gastrointestinal oncology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Controversy persists regarding whether narrow band imaging (NBI) and flexible spectral imaging color enhancement (FICE) outperform white light endoscopy (WLE) in diagnosing early gastric cancer (EGC). Hence, our study rigorously compared the diagnostic performance of NBI, FICE, and WLE for EGC, aiming to provide clinical guidelines for endoscopists. Methods: A systematic research was conducted across multiple databases including PubMed, Web of Science, EMBASE, and the Cochrane Library database. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was employed to evaluate the quality of the included articles. Influence analysis and subgroup analysis were conducted to identify sources of heterogeneity. Additionally, a Deeks' asymmetry test was utilized to assess publication bias. Statistical analyses were conducted using Stata 16.0. Results: Sixteen studies were identified, of which nine were eligible for meta-analyses comparing NBI and WLE. Our findings revealed that patients undergoing NBI exhibited higher sensitivity [0.82; 95% confidence interval (CI): 0.71-0.89] and specificity (0.95; 95% CI: 0.90-0.97) compared to those diagnosed with WLE (0.59; 95% CI: 0.49-0.69 and 0.77; 95% CI: 0.65-0.86, respectively). The positive likelihood ratio (PLR) and negative likelihood ratio (NLR) of NBI were statistically superior to WLE. Moreover, the diagnostic odds ratio (DOR) and area under the curve (AUC) for patients undergoing NBI were 79 (95% CI: 36-176) and 0.95 respectively, both significantly higher than those for patients undergoing WLE (5; 95% CI: 2-11 and 0.71, respectively). Additionally, a systematic review of seven published articles comparing FICE with WLE demonstrated that FICE enhances diagnostic efficacy. Conclusions: NBI and FICE demonstrate superior diagnostic performance compared to WLE in diagnosing EGC. Nonetheless, more high-quality articles are warranted to comprehensively evaluated the diagnostic performance compared between WLE and FICE.
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