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An Experimental Study for Performance Evaluation in Dogs of Preventive Contrast Media Extravasation with a Strain Gage Based Prototype Extravasation Detection Accessory System

잡견에서 조영제 혈관외유출 예방을 위한 스트레인 게이지 기반의 EDA 시스템 성능 평가를 위한 실험적 연구

  • Kweon, D.C. (Department of Radiology, Seoul National University Hospital) ;
  • Yoo, B.G. (Department of Radiologic Technology, Wonkwang Health Science College) ;
  • Lee, J.S. (Department of Radiologic Technology, Wonkwang Health Science College) ;
  • Cho, M.S. (Department of Prosthetics & Orthotics, Korea National College of Rehabilitation & Welfare) ;
  • Yang, S.H. (Department of Prosthetics & Orthotics, Korea National College of Rehabilitation & Welfare)
  • 권대철 (서울대학교병원 영상의학과) ;
  • 유병규 (원광보건대학 방사선과) ;
  • 이종석 (원광보건대학 방사선과) ;
  • 조문선 (한국재활복지대학 의료보장구과) ;
  • 양성환 (한국재활복지대학 의료보장구과)
  • Published : 2008.02.29

Abstract

The major risk associated with the use of automated power injectors is the well known complication of contrast material extravasation at the injection site. Automated injection of computed tomography (CT) contrast media can produce the compartment syndrome. The purpose of this study was to assess the ability of this device during clinically important episodes of extravasation. The extravasation detection accessory (EDA) system was composed of a strain gage, an amplifier and a computer based system. A strain gage pliable adhesive patch was applied to the skin aver the intravenous catheter and the catheter was connected to the power injector with a cable to monitor the resolution data. If the programmed monitoring, which was developed with MS Visual C++, at the extravasation occurred, then the injection was interrupted the auto injector. CT was used to demonstrate the clinically important extravasation. This study was a prospective, observational study in which the EDA system was used to monitor the automated mechanical injection of contrast material in 7 dogs. There were two true-positive cases (range of extravasation volumes: $18{\sim}22ml$), twenty three true-negative cases, three false-positive cases and no false-negative cases. The EDA system had a sensitivity of 100% and a specificity of 88% for the detection of clinically important extravasation. The EDA system had good sensitivity for the detection of clinically important extravasation and the EDA system has the clinical potential for the early detection of extravasation of the contrast medium that is administered with power injectors. The EDA system is easy to use safe and accurate for the monitoring extravasation of the intravenous injections, and this system may prove especially useful in CT applications.

Keywords

References

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