Analysis of droplets generated during gastrointestinal endoscopic examinations using a high speed camera
Droplets released from the mouth of a COVID-19 infected patient are an important source of infection . Currently, gastrointestinal (GI) endoscopy preventative guidelines have been developed based on cough models with droplet travel distances of over 2 m     . However, the droplet-related studies reported so far have mostly focused on cough models related to respiratory disease. Thus far, no studies have been conducted on droplets generated during GI endoscopic examinations.
In this study, droplets released during GI endoscopy were analyzed using a high speed camera. In order to photograph small transparent droplets, a high speed camera (FASTCAM SA-3, Photon Limited, USA) was used with a black background and high brightness lighting, and the resulting footage was analyzed with post-processing software. A spray-bottle model and a cough model were used as control groups, and the droplets released during GI endoscopic examination were used as the experimental group. In order to change the level of released droplets, the sedative, proficiency of the endoscopist, and amount of gas injected were each adjusted. In the control groups of the spray-bottle model and cough model, droplets were clearly photographed. However, regardless of changes in sedative, proficiency of the endoscopist, or amount of gas injected, no droplet larger than 10 µm in size was photographed during GI endoscopic examination ([Fig. 1]).
In summary, no droplets were confirmed during GI endoscopic examination using high speed camera photography. The mouthpiece and the endoscope aided in suppressing the droplets being generated at the endoscope entry site. In colonoscopy examination, as the anus is blocked by the endoscope, intestinal fluids only trickled around the anus, and no secretions in the form of droplets were observed. These results will be helpful in the development of COVID-19 preventative measures for GI endoscopic examination.
26 October 2020 (online)
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