Introduction

Accurate endoscopic diagnosis of colorectal polyps is essential for determining appropriate treatment strategies. The Japan NBI Expert Team (JNET) classification and pit pattern diagnosis are used for diagnosis, but their comparative diagnostic performance in real-world clinical settings remains unclear, particularly between experts and non-experts.

Aims & Methods

This post-hoc analysis aimed to evaluate the diagnostic accuracy of both classification across different levels of expertise using data from a prospective multicenter trial. We conducted a post-hoc analysis of the deTXIon trial¹ , a randomized controlled trial conducted at eight Japanese institutions between March and October 2023. From the per-protocol set, we analyzed colorectal lesions that had both JNET classification and pit pattern diagnosis with confirmed histopathology. JNET classification categorizes lesions into Type 1 (corresponding to hyperplastic polyps [HPs] and sessile serrated lesions [SSLs]), Type 2A (low-grade adenomas), Type 2B (high-grade adenomas or superficial submucosal invasive cancer), and Type 3 (deep submucosal invasive cancer). Pit pattern classification included Type II ( HPs/SSLs ), Type III_S/III_L/IV (low-grade adenomas), Type V_I low-grade (high-grade adenoma), and Type V_I high-grade/V_N (submucosal invasive cancer). We calculated sensitivity (Sen), specificity (Spe), positive predictive value (PPV), and negative predictive value (NPV) for each classification stratified by endoscopist expertise and lesion size.

Results

A total of 1,617 colorectal lesions with a median size (IQR) of 2(1-4) mm were included in this analysis. Histopathological examination revealed that 71.5% (1,156/1,617) were low-grade adenomas, 1.0% (16/1,617) were high-grade adenomas or cancer, 19.3% were HPs (312/1,617), and 8.2% (133/1,617) were SSLs. For JNET Type 1 lesions, diagnostic accuracy was comparable between experts (Sen: 82.8%, Spe: 95.9%, PPV: 88.3%, NPV: 93.7%) and non-experts (Sen: 81.7%, Spe: 93.4%, PPV: 83.1%, NPV: 92.8%). Similarly, for JNET Type 2A, both groups showed high diagnostic performance (experts: Sen 93.8%, Spe 81.0%, PPV: 92.6%, NPV: 83.8%; non-experts: Sen 91.5%, Spe 78.3%, PPV: 90.3%, NPV: 80.6%).
In contrast, pit pattern diagnosis experts showed higher performances, particularly for Type II (experts: Sen 80.9%, Spe 96.3%, PPV: 89.0%, NPV: 93.1%; non-experts: Sen 57.9%, Spe 92.8%, PPV: 76.0%, NPV: 84.8%). The diagnostic performance for small lesions (≤5mm) was consistently high with JNET classification (Type 1: Sen 79.5%, Spe 94.3%; Type 2A: Sen 93.7%, Spe 79.2%), while pit pattern diagnosis showed lower performance (Type II: Sen 70.8%, Spe 94.5%; Type III_S/III_L/IV: Sen 93.6%, Spe 79.5%), for these lesions among non-experts.

Conclusion

JNET classification demonstrates comparable diagnostic performance between expert and non-expert endoscopists, likely due to its standardized and intuitive visual criteria. Pit pattern diagnosis shows experience-dependent performance differences, suggesting that NBI-based assessment may be more suitable for routine clinical practice, especially for diminutive lesions.

References

1. Toyoshima N, Mizuguchi Y, Takamaru H,et al. The Efficacy of Texture and Color Enhancement Imaging Observation in the Detection of Colorectal Lesions: A Multicenter, Randomized Controlled Trial (deTXIon Study). Gastroenterology. 2025 in press

Disclosure

These authors disclose the following: Yutaka Saito, Masashi Misawa, Shin-ei Kudo, and Toshio Uraoka have received lecture fees from Olympus
Corporation. The remaining authors disclose no conflicts.