A Novel Noninvasive Method for Quantitative Detection of Colonic Dysmotility Using Real-Time Ultrasonography
| Autor: | Masatoshi Hori, Kazuhisa Kishi, Yoshiharu Tsuru, Noriyuki Kaji |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Pathology
medicine.medical_specialty Loperamide business.industry Colon Ultrasound Gastroenterology Hypervascularity medicine.disease Colitis Inflammatory bowel disease Ulcerative colitis digestive system diseases Mice In vivo medicine Animals Peristalsis business Gastrointestinal Motility medicine.drug Ultrasonography |
| Zdroj: | Digestion. 102(5) |
| ISSN: | 1421-9867 |
| Popis: | Introduction: Colonic motility disorders are a frequent clinical problem caused by various drugs and diseases. However, the etiology of colonic dysmotility is often unclear due to the lack of in vivo methods, including rapid dynamic assessment. Objectives: The aim of this study was to establish a novel quantitative method to objectively assess colonic motility using ultrasonography. Methods: We applied echocardiographic speckle tracking-based strain imaging to analyze murine colonic motility. A trace line was placed on the boundary between the proximal wall of the colon and the inner cavity to analyze colonic wall displacement and strain rate. Locomotion activities of the colonic wall were used to quantify colonic motility via ultrasonography. Results: We found that ultrasonography can quantitatively detect a decrease in colonic motility induced by loperamide, an antidiarrheal drug. These quantitative data were consistent with the imaging findings of colonic peristalsis and colon transit time. Additionally, ultrasonography also revealed changes in colonic motility over short intervals. Furthermore, we have shown that ultrasonography can quantitatively and noninvasively detect colonic dysmotility and hypervascularity of the colonic wall in colitis mice. Conclusions: These findings suggest that ultrasonography is a useful in vivo method for objectively monitoring changes in colonic motility caused by drugs and diseases. |
| Databáze: | OpenAIRE |
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