Magnifying Endoscopy in the Stomach
E-Book, Englisch, 215 Seiten, eBook
ISBN: 978-4-431-54207-0
Verlag: Springer Tokyo
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1 Basic principles for the interpretation of magnified endoscopic (ME) findings: vessels (V) plus surface (S) classification system.- Chapter 2 Magnifying endoscopy (ME) of the stomach targeting the microvascular architecture.- Chapter 3 Magnifying ratio and resolution in electronic endoscopy systems.- Chapter 4 Magnified endoscopic (ME) findings of the normal gastric mucosa.- Chapter 5 Chronic gastritis– gastric body mucosal patterns identified using magnifying endoscopy (ME).- Chapter 6 Microvascular architecture characteristic of early gastric cancer as visualized by magnifying endoscopy (ME), and clinical applications.- Chapter 7 Principles of magnifying endoscopy with narrow-band imaging (M-NBI).- Chapter 8 Microanatomies as visualized using magnifying endoscopy with narrow band imaging (M-NBI) in the stomach.- Chapter 9 The proposed vessels plus surface (VS) classification system – principles for interpretation of magnifying endoscopy with narrow-band imaging (M-NBI) findings.- Chapter 10 Light blue crests (LBCs) and white opaque substance (WOS).- Chapter 11 Clinical applications of magnifying endoscopy with narrow band imaging (M-NBI) of the stomach.- Chapter 12 The vessels plus surface (VS) classification system in the diagnosis of early gastric cancer.- Chapter 13 Analysis and interpretation of magnifying endoscopy with narrow band imaging (M-NBI) findings in gastric epithelial tumors (early gastric cancer and adenoma) stratified for Paris classification of macroscopic appearance.- Chapter 14 New clinical applications and advantages for magnifying endoscopy (ME) with narrow band imaging (NBI) in the diagnosis of early gastric cancer –clinical usefulness, limitations and clinical strategies in preoperative determination of tumor margins, according to degree of difficultycategory.