# JNET classification (colorectal tumours on narrow-band imaging)

Source: https://onco.cc/terms/jnet-classification/  
OnCo record `jnet-classification` (Term). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)"; commercial use needs a licence.

## TL;DR

The JNET type (1, 2A, 2B or 3) is how an endoscopist describes a bowel growth seen with magnifying narrow-band imaging, and it predicts what the pathologist will find, from a harmless polyp to deep cancer.

## Summary

The Japan NBI Expert Team unified several Japanese magnifying narrow-band imaging classifications into one (Sano and colleagues, Digestive Endoscopy 2016; proposed 2014). It has four categories of vessel and surface pattern, which correspond to: type 1, hyperplastic or sessile serrated polyp; type 2A, low-grade intramucosal neoplasia; type 2B, high-grade intramucosal neoplasia or shallow submucosal invasive cancer; type 3, deep submucosal invasive cancer.

## Fields

- Kind: Term
- Last checked: 2026-11-04
- Also known as: JNET classification; JNET type; Japan NBI Expert Team classification

## Sources

- Sano et al., Narrow-band imaging magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team (Dig Endosc 2016): https://doi.org/10.1111/den.12644

## Connected records

- terms: [Colonoscopy](https://onco.cc/terms/colonoscopy/), [Paris endoscopic classification of superficial neoplastic lesions](https://onco.cc/terms/paris-endoscopic-classification/), [Vienna classification of gastrointestinal epithelial neoplasia](https://onco.cc/terms/vienna-classification/)
- cancers: [Colorectal cancer](https://onco.cc/cancers/colorectal/)

---
JSON: https://onco.cc/api/v1/entities/jnet-classification.json