Gastrointestinal Endoscope Host

The gastrointestinal endoscope host is the core equipment for digestive endoscopy diagnosis and treatment. It integrates image processing, light source control, data management and other functions, and supports the inspection and treatment of soft endoscopes such as gastroscopes and colonoscopes. The following is a comprehensive analysis from five dimensions: working principle, core function, clinical application, technical advantages and development trend.

1. Working principle

Optical imaging system

Electronic endoscope imaging: The end CMOS sensor (such as Sony IMX586) collects images with a resolution of 4K (3840×2160), a pixel size as low as 1.0μm, and supports a wide-angle field of view of 90°~120°.

Spectroscopic technology:

Narrow band imaging (NBI): 415nm (mucosal surface blood vessels) and 540nm (deep blood vessels) dual-band enhanced contrast, early gastric cancer detection rate increased by 25%.

Confocal laser (CLE): 488nm laser scanning achieves 1000 times magnification, in vivo pathology-level imaging (resolution 1μm).

Light source and illumination

Xenon/LED hybrid light source: color temperature 5500K (simulating natural light), automatic brightness adjustment (10,000~150,000 lux), support white light/NBI/AFI (autofluorescence) mode switching.

Infrared imaging: with ICG fluorescence angiography, real-time display of lymphatic drainage and tumor boundaries (sensitivity up to 95%).

Image processing engine

Using dedicated ISP chips (such as Fuji RELI+), real-time noise reduction (signal-to-noise ratio>40dB), HDR enhancement (dynamic range 80dB) and AI-assisted annotation (polyp recognition accuracy 98%).

2. Core functions

High-definition diagnostic function

4K/8K ultra-high-definition imaging: can identify type IIc early gastric cancer with a diameter of <5mm.

Magnifying endoscopy (ME-NBI): optical magnification 80 times + electronic magnification 150 times, combined with JNET classification to evaluate the nature of lesions.

Intelligent auxiliary system

AI real-time analysis:

Automatically identify Barrett's esophagus (CADx system, AUC 0.92), early colorectal cancer (ENDOANGEL system).

Bleeding risk assessment (Forrest classification) and automatic screenshot recording.

Three-dimensional reconstruction: Synthesize 3D model of submucosal tumor based on multi-frame images (accuracy 0.1mm).

Treatment integration

Multi-channel control: Supports simultaneous operation of high-frequency electrosurgical knife (EndoCut mode), argon gas knife (APC), and mucosal injection (such as glycerol fructose).

Pressure feedback: Intelligent gas/water injection system (pressure range 20~80mmHg) to avoid intestinal perforation.

III. Clinical application value

Diagnostic field

Early cancer screening: ESD preoperative boundary marking error <1mm (NBI+magnifying endoscopy).

Inflammation assessment: Use CE (chromoendoscopy) to improve the consistency of ulcerative colitis activity interpretation (κ value increased from 0.6 to 0.85).

Treatment areas

Minimally invasive surgery:

EMR/ESD operation time is shortened by 30% (integrated electrocoagulation and water injection functions).

POEM for achalasia, postoperative recurrence rate <10%.

Hemostasis treatment: combined with Hemospray (hemostatic powder) and titanium clips, the immediate hemostasis success rate is >95%.

Research and teaching

Case database (supporting DICOM format) and VR training system (such as GI Mentor), shorten the physician learning curve by 50%.

4. Comparison of technical advantages

Brand/model Core technology Clinical features Price range

Olympus EVIS X1 Dual focus optics (switching between near and far view) 8K+AI polyp classification $120,000+

Fuji ELUXEO 7000 LASEREO laser light source 4K+ blue laser imaging (BLI) $90,000~150k

Pentax i7000 Ultra-thin lens body (Φ9.2mm) Magnetically controlled capsule endoscopy collaboration $70,000~100k

Domestic Kaili HD-550 Domestic 4K CMOS 5G remote consultation module $40,000~60k

V. Development Trends and Challenges

Frontier Technologies

Molecular imaging endoscopy: targeted fluorescent probes (such as anti-CEA antibody-IRDye800) to achieve specific tumor markers.

Magnetic-controlled capsule robot: host linkage to achieve full gastrointestinal painless examination (such as Ankon MiroCam).

Existing Challenges

Cleaning and disinfection: complex mirror body design increases the difficulty of disinfection (must comply with WS 507-2016 standard).

Cost control: maintenance costs of high-end models account for 20% of the purchase cost per year.

Future Direction

Cloud intelligence: edge computing + 5G to achieve real-time AI quality control (such as blind spot reminders, operation scoring).

Miniaturization: host size is reduced by 50% (such as Storz modular design).

Summary

The host of gastrointestinal endoscopy is evolving from a single diagnostic tool to an intelligent diagnosis and treatment platform, and its technological breakthroughs have significantly improved the detection rate of early cancer (the 5-year survival rate of gastric cancer in Japan has reached 80% after popularization). Things to pay attention to when choosing:

Clinical needs: Primary hospitals can focus on cost-effectiveness (such as opening HD-550), while tertiary hospitals prefer AI functions (such as EVIS X1).

Scalability: Whether it supports future upgrades (such as adding a fluorescent module).