Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis

• Main Authors: Moon Won Lee, Gwang Ha Kim
• Format: Article
• Language: English
• Published: Hoon Jai Chun 2021-05-01
• Series: Clinical Endoscopy
• Subjects: computer-assisted; endosonography; image processing; mesenchymal tumor; stomach
• Online Access: http://www.e-ce.org/upload/pdf/ce-2020-061.pdf

Gastric mesenchymal tumors (GMTs) are incidentally discovered in national gastric screening programs in Korea. Endoscopic ultrasonography (EUS) is the most useful diagnostic modality for evaluating GMTs. The differentiation of gastrointestinal stromal tumors from benign mesenchymal tumors, such as schwannomas or leiomyomas, is important to ensure appropriate clinical management. However, this is difficult and operator dependent because of the subjective interpretation of EUS images. Digital image analysis computes the distribution and spatial variation of pixels using texture analysis to extract useful data, enabling the objective analysis of EUS images and decreasing interobserver and intraobserver agreement in EUS image interpretation. This review aimed to summarize the usefulness and future of digital EUS image analysis for GMTs based on published reports and our experience.