Discover the JNET Classification at GIEQs IV
Delve into the JNET classification and how it can successfully predict the correct treatments for colorectal polyps at GIEQs Symposium 4th Edition.

In brief

The forthcoming 4th edition of the GIEQs Endoscopy Symposium offers an unparalleled opportunity to delve into the realm of everyday endoscopy and the JNET classification system for colorectal polyps. Renowned for its exclusive focus on everyday endoscopy, the symposium promises to enhance understanding of the JNET classification system's practical application by providing a real-time analysis of rectal polyps. 

The promotional video showcases an examination of three different polyps and their respective classifications, emphasizing the criticality of evaluating structural regularity and potential disorder. Techniques such as freezing the image for thorough analysis and using narrow-band imaging to accentuate blood vessel patterns are demonstrated. 

A crucial aspect of the video is the clarification between JNET 2A and JNET 2B classifications and their respective implications. While JNET 2A typically represents low-grade dysplasia, JNET 2B denotes high-grade dysplasia or early-stage cancer. This critical differentiation profoundly impacts subsequent patient management and treatment decisions. 

The video also invites medical professionals to the upcoming 4th GIEQs Symposium in October, where a more in-depth exploration of the JNET system and its practical applications will be conducted. 

 

Detailed Summary

Learning Objectives: 

• Develop an in-depth understanding of the JNET classification system. 

• Master the practical application of JNET in everyday endoscopy. 

• Learn to differentiate between JNET 2A and JNET 2B classifications, and understand the clinical implications of each. 

• Gain expertise in employing imaging techniques, such as narrow-band imaging, for comprehensive polyp examination. 

• Grasp the impact of JNET classifications on patient management and treatment decisions. 

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JNET Classification
JNET 2AJNET 2B
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Model demonstration
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Endoscopic Video and Room Video with AudioVideo Short
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