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Published on: May 23, 2015
The evolving role of EUS-guided tissue acquisition
Tiing Leong Ang1, Lai Mun Wang2
1Department of Gastroenterology and Hepatology, Changi General Hospital; Medicine Academic Clinical Programme, SingHealth Duke-NUS Academic Medical Centre; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Endoscopic ultrasound-guided fine-needle aspiration improves tissue acquisition. Newer needles and advanced imaging enhance diagnosis, but histology remains crucial for personalized medicine and overcoming sampling errors.
Area of Science:
- Gastroenterology
- Endoscopic Ultrasound (EUS)
- Diagnostic Endoscopy
Background:
- Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) revolutionized tissue acquisition from inaccessible gastrointestinal sites.
- While cytological diagnosis shows excellent performance, limitations exist, including procedural inefficiencies and the need for histology in specific cases.
Purpose of the Study:
- To review the evolution of endoscopic ultrasound-guided tissue acquisition techniques.
- To highlight advancements in needles, imaging, and the role of histology and molecular analysis in modern diagnostics.
- To explore the potential of artificial intelligence in enhancing EUS-guided procedures.
Main Methods:
- Review of technological advancements in endoscopic ultrasound (EUS) and biopsy needles.
- Discussion of the evolving role of cytology versus histology in gastrointestinal diagnosis.
- Exploration of adjunctive imaging techniques like contrast harmonic EUS and EUS elastography.
- Consideration of artificial intelligence applications in EUS.
Main Results:
- Newer EUS-FNA needles have improved tissue acquisition for histology.
- Advanced imaging techniques (contrast harmonic EUS, elastography) aid in challenging biopsies.
- Histology, immunohistochemistry, and molecular analysis are increasingly vital for personalized medicine.
Conclusions:
- Despite advancements, challenges in EUS-guided tissue acquisition persist.
- A shift towards histology-based diagnosis is evident, driven by personalized medicine needs.
- Artificial intelligence shows promise in improving EUS diagnostic accuracy and clinical decision-making, especially for non-diagnostic biopsies.
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