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Application of Endoscopic Ultrasound Image Analysis in the Treatment of Digestive Tract Diseases and Nursing

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Objective: To study the diagnostic accuracy of microprobe endoscopic ultrasonography (mEUS) in the diagnosis of bulge of digestive tract, and to summarize and explore the characteristics of ultrasound images of gastrointestinal bulge in mEUS diagnosis, to comprehensively evaluate microprobe ultrasound. The ability of endoscope to diagnose gastrointestinal bulging lesions provides a certain clinical basis for later nursing. Methods: A retrospective analysis of 302 cases of gastrointestinal bulging cases underwent microprobe ultrasound endoscopy from November 2011 to December 2015. The diagnosis of all cases was confirmed by endoscopic pathology, surgical pathology or follow-up. Microprobes were compared. The diagnostic accuracy of the results of ultrasound endoscopy and traditional endoscopy. Results: A total of 302 patients underwent microprobe ultrasound endoscopy, including 274 upper gastrointestinal tract, 28 colorectal, 97 esophagi in upper gastrointestinal tract, 152 in stomach and 25 in duodenum. The coincidence rate of mEUS diagnosis of esophageal bulge lesions was 97.93% (95/97), and the coincidence rate of gastroscopy diagnosis was 68.04 (66/97). The coincidence rate of mEUS diagnosis in gastric elevated lesions was 94.07% (143/152), and the coincidence rate of gastroscopy diagnosis was 50.65% (77/152). Conclusion: Microprobe endoscopic ultrasound can clearly show the structure of each layer of the digestive tract wall, reflecting the origin of the lesion and the depth of infiltration. Therefore, it can make accurate diagnosis of most gastrointestinal bulging lesions.

Keywords: Digestive Tract Disease; Microprobe Endoscopic Ultrasonography; Nursing

Document Type: Research Article

Affiliations: 1: Department of Dermatology of Second Hospital Affiliated to Tianjin Medical University, Tianjin, 300211, China 2: Department of Gastroenterology, Wuhan Medical and Health Center for Women and Children, Wuhan, 430000, China 3: Yantai Center for Disease Prevention and Control, Department of Disinfection and Vector Control, Yantai, 264003, China 4: Department of Emergency, Xijing Hospital, Fourth Military Medical University, Xi’an, 710032, China 5: Department of Radiology, Taian Maternal and Child Health Hospital, 271600, China 6: Department of Surgical Oncology in Taizhou Cancer Hospital, Taizhou City, 317502, Zhejiang Province, China 7: Malaysian Society for Public Health & Medicine, Putrajaya 62675, Malaysia

Publication date: 01 August 2020

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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