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Updated: Oct 22, 2025

Author Spotlight: Detection and Treatment of Helicobacter pylori Infection
Published on: July 28, 2023
Current Helicobacter pylori Diagnostics.
Dmitry S Bordin1,2,3, Irina N Voynovan1, Dmitrii N Andreev2
1A.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.
Accurate diagnosis of Helicobacter pylori infection is crucial for managing gastroduodenal diseases. This review covers invasive and non-invasive methods, including novel endoscopic techniques and artificial intelligence, for effective H. pylori detection and eradication monitoring.
Area of Science:
- Gastroenterology
- Infectious Diseases
- Medical Diagnostics
Background:
- High prevalence of Helicobacter pylori necessitates accurate diagnostic methods.
- Gastroduodenal diseases are often caused by H. pylori infection.
- Effective diagnosis is vital for treatment monitoring.
Purpose of the Study:
- Review current and novel diagnostic methods for H. pylori detection.
- Discuss advantages and disadvantages of various diagnostic approaches.
- Highlight advancements in endoscopic modalities and artificial intelligence for H. pylori diagnosis.
Main Methods:
- Review of invasive and non-invasive diagnostic tests for H. pylori.
- Evaluation of endoscopic techniques like BLI, LCI, and magnifying endoscopy.
- Assessment of artificial intelligence in predicting H. pylori status from endoscopic images.
Main Results:
- Non-invasive tests (urea breath, stool antigen) are recommended for primary diagnosis.
- Serology is useful for screening and epidemiology.
- Histology aids in detecting H. pylori, inflammation, and precancerous lesions.
- Molecular methods detect antibiotic resistance; cultures are gold standard for susceptibility testing.
Conclusions:
- Accurate H. pylori diagnosis is essential for effective management of gastroduodenal diseases.
- Novel endoscopic technologies and AI show promise in real-time H. pylori detection.
- A spectrum of diagnostic tools, from non-invasive to culture, aids in comprehensive H. pylori assessment.
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