| Theme | Obscure gastrointestinal bleeding (OGIB) | |
|---|---|---|
| Title | Preparation of a system that enables emergency small bowel capsule endoscope and balloon-assisted endoscope and its practical use | |
| Publish Date | 2019/08 | |
| Author | Takeshi Yamamura | Department of Endoscopy, Nagoya University Hospital |
| Author | Masanao Nakamura | Department of Gastroenterology, Nagoya University Graduate School of Medicine |
| Author | Keiko Maeda | Department of Endoscopy, Nagoya University Hospital |
| Author | Tsunaki Sawada | Department of Endoscopy, Nagoya University Hospital |
| Author | Kazuhiro Furukawa | Department of Gastroenterology, Nagoya University Graduate School of Medicine |
| Author | Ryoji Miyahara | Department of Gastroenterology, Nagoya University Graduate School of Medicine |
| Author | Hiroki Kawashima | Department of Endoscopy, Nagoya University Hospital |
| Author | Mitsuhiro Fujishiro | Department of Gastroenterology, Nagoya University Graduate School of Medicine |
| [ Summary ] | Endoscopic diagnosis of small bowel diseases has significantly improved following technological advances leading to the introduction of procedures such as balloon-assisted endoscopy and small bowel capsule endoscopy. Several studies have reported the use of this advanced technology for the evaluation of obscure gastrointestinal bleeding (OGIB). Conventionally, definitive treatment of small bowel bleeding included interventional radiology or surgical procedures. However, currently, a less invasive endoscopic approach is available, which achieves satisfactory hemostasis in most cases. An algorithm established in 2015 is commonly used as a reference for the diagnosis and treatment of OGIB (reference). This algorithm describes that the time interval between symptom onset and examination and the type of lesion causing bleeding determine whether the source of bleeding will be identified. To disseminate these small bowel examination techniques for the evaluation of OGIB, it is essential to establish the knowledge that is only partially covered by the algorithm. We describe the current status of OGIB management implemented at our hospital. | |