1.Perfecting Video Capsule Endoscopy: Is There Need for Training?.
Clinical Endoscopy 2013;46(6):599-600
No abstract available.
Capsule Endoscopy*
2.What Is the Optimal Timing of Bowel Preparation for Video Capsule Endoscopy?.
Clinical Endoscopy 2015;48(3):183-184
No abstract available.
Capsule Endoscopy*
3.What Is the Optimal Timing of Bowel Preparation for Video Capsule Endoscopy?.
Clinical Endoscopy 2015;48(3):183-184
No abstract available.
Capsule Endoscopy*
4.Current Status of Interpretation of Small Bowel Capsule Endoscopy.
Su Hwan KIM ; Dong Hoon YANG ; Jin Su KIM
Clinical Endoscopy 2018;51(4):329-333
Capsule endoscopy (CE) has revolutionized direct small bowel imaging and is widely used in clinical practice. Remote visualization of bowel images enables painless, well-tolerated endoscopic examinations. Small bowel CE has a high diagnostic yield and the ability to examine the entire small bowel. The diagnostic yield of CE relies on lesion detection and interpretation. In this review, issues related to lesion detection and interpretation of CE have been addressed, and the current status of automated reading software development has been reviewed. Clinical significance of an external real-time image viewer has also been described.
Capsule Endoscopy*
5.Quality Indicators for Small Bowel Capsule Endoscopy.
Ki Nam SHIM ; Seong Ran JEON ; Hyun Joo JANG ; Jinsu KIM ; Yun Jeong LIM ; Kyeong Ok KIM ; Hyun Joo SONG ; Hyun Seok LEE ; Jae Jun PARK ; Ji Hyun KIM ; Jaeyoung CHUN ; Soo Jung PARK ; Dong Hoon YANG ; Yang Won MIN ; Bora KEUM ; Bo In LEE
Clinical Endoscopy 2017;50(2):148-160
Capsule endoscopy (CE) enables evaluation of the entire mucosal surface of the small bowel (SB), which is one of the most important steps for evaluating obscure gastrointestinal bleeding. Although the diagnostic yield of SB CE depends on many clinical factors, there are no reports on quality indicators. Thus, the Korean Gut Image Study Group (KGISG) publishes an article titled, “Quality Indicators for Small Bowel Capsule Endoscopy” under approval from the Korean Society of Gastrointestinal Endoscopy (KSGE). Herein, we initially identified process quality indicators, while the structural and outcome indicators are reserved until sufficient clinical data are accumulated. We believe that outcomes of SB CE can be improved by trying to meet our proposed quality indicators.
Capsule Endoscopy*
;
Endoscopy, Gastrointestinal
;
Hemorrhage
6.Role of capsule endoscopy in suspected or established Crohn's disease in real practice.
Intestinal Research 2017;15(4):431-433
No abstract available.
Capsule Endoscopy*
;
Crohn Disease*
7.Is Effective of Capsule Endoscopy Compared to Other Diagnostic Modalities in Patients with Small Bowel Crohn’s Disease?.
Gut and Liver 2017;11(1):5-6
No abstract available.
Capsule Endoscopy*
;
Humans
8.The Usefulness of New-Generation Capsule Endoscopy in Patients with Portal Hypertensive Enteropathy.
Seung Joo NAM ; Ji Hyun KIM ; Sung Chul PARK
Clinical Endoscopy 2018;51(6):505-507
No abstract available.
Capsule Endoscopy*
;
Humans
9.Optimal Diagnostic Approaches for Patients with Suspected Small Bowel Disease.
Clinical Endoscopy 2016;49(4):364-369
While the domain of gastrointestinal endoscopy has made great strides over the last several decades, endoscopic assessment of the small bowel continues to be challenging. Recently, with the development of new technology including video capsule endoscopy, device-assisted enteroscopy, and computed tomography/magnetic resonance enterography, a more thorough investigation of the small bowel is possible. In this article, we review the systematic approach for patients with suspected small bowel disease based on these advanced endoscopic and imaging systems.
Capsule Endoscopy
;
Endoscopy, Gastrointestinal
;
Hemorrhage
;
Humans
;
Inflammation
10.Recent Development of Computer Vision Technology to Improve Capsule Endoscopy
Junseok PARK ; Youngbae HWANG ; Ju Hong YOON ; Min Gyu PARK ; Jungho KIM ; Yun Jeong LIM ; Hoon Jai CHUN
Clinical Endoscopy 2019;52(4):328-333
Capsule endoscopy (CE) is a preferred diagnostic method for analyzing small bowel diseases. However, capsule endoscopes capture a sparse number of images because of their mechanical limitations. Post-procedural management using computational methods can enhance image quality. Additional information, including depth, can be obtained by using recently developed computer vision techniques. It is possible to measure the size of lesions and track the trajectory of capsule endoscopes using the computer vision technology, without requiring additional equipment. Moreover, the computational analysis of CE images can help detect lesions more accurately within a shorter time. Newly introduced deep leaning-based methods have shown more remarkable results over traditional computerized approaches. A large-scale standard dataset should be prepared to develop an optimal algorithms for improving the diagnostic yield of CE. The close collaboration between information technology and medical professionals is needed.
Capsule Endoscopes
;
Capsule Endoscopy
;
Cooperative Behavior
;
Dataset
;
Methods