The application potential of a modified wireless intelligent capsule cystoscope for dynamic detection of porcine bladder mucosa
10.3760/cma.j.cn112330-20210918-00498
- VernacularTitle:无线智能胶囊膀胱镜动态检测猪膀胱黏膜状态的研究
- Author:
Weiyang HE
1
;
Yingjie XU
;
Hang TONG
;
Jie LI
;
Bangshu ZHAO
;
Xinyuan LI
;
Xin GOU
;
Mingzhao XIAO
Author Information
1. 重庆医科大学附属第一医院泌尿外科，重庆 400016
- Keywords:
Cystoscopes;
Capsule endoscopy;
Noninvasive;
Dynamic detection;
Animal experimentation
- From:
Chinese Journal of Urology
2023;44(1):52-55
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop an improved wireless intelligent capsule cystoscope (WCE)for dynamic detection of bladder mucosa in a pig model.Methods:The WCE was introduced into a healthy experimental pig that under general anesthesia via urethra by applying an improved device. Multi-angle images of the bladder mucosa were then obtained by controlling the position of capsule cystoscope with an external magnetic field system. The shutter speed of the WCE was 2.5 fps and was automatically converted to 1.5 fps 30 minutes after initiation. The Vue software was utilized to download the shoot pictures which were former received by a computer via wireless transmission. The pig was roused and sent to the pigpen, without limitations in moving. The improved WCE was connected with a 2 cm thread. 12 hours later, the dilated sheath was inserted again, and the capsule was removed by a foreign body forceps under observation of a ureteroscopy.Results:The WCE was successfully placed and removed from the pig's bladder with the application of the improved devices. Over 20 thousand images that with 60K pixels of bladder mucosa were captured by the WCE at various angles within 12 hours, which revealed the process of urine filling and excreting in a time-dependent way. No notable adverse effects (bleeding, urinary tract injury, etc) were noted during the process of cystoscope placement, image acquisition, transmission, and removal.Conclusion:This study developed a novel WCE that could dynamically, intelligently and accurately monitor all aspects of the pig bladder mucosa, and has preferable application prospect.
