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临床试验/NCT02766244
NCT02766244已完成不适用

Indocyanine Green (ICG) and SPY Imaging for Assessment of Burn Healing

Texas Tech University Health Sciences Center0 个研究点目标入组 3 人开始时间: 2014年1月最近更新:
适应症
干预措施
相关药物

试验速览

阶段
不适用
状态
已完成
入组人数
3
主要终点
Perfusion of Burned Area

研究概览

简要总结

Three patients were recruited for assessment of ICG fluorescence in burns.

详细描述

The early determination of healing potential in indeterminate thickness burns may be difficult to establish by visual inspection alone, even for experienced burn practitioners. This case series explores the use of indocyanine green (ICG) fluorescence using portable bedside assessment as a potential tool for early determination of burn depth. Three subjects with indeterminate thickness burns had daily perfusion assessment using ICG fluorescence assessment using the SPY machine (SPY®, Lifecell Corp., NJ, USA) in addition to standard burn care. The fluorescence was quantified as a percentage of the perfusion of intact skin, and areas of hypo and hyper-perfusion were indicated. The burn surgeon, blinded to the ICG results, made a clinical determination of the need for skin grafting or discharge. The perfusion in areas of differing depth of burn were compared over the entire study period to determine both the magnitude of difference, and the point in the time course of healing when these changes became evident.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

入排标准

年龄范围
18 Years 至 89 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • patients with burn less than 15% TBSA

排除标准

  • 未提供

研究组 & 干预措施

ICG/SPY

Experimental

Daily wound care with antibiotic ointments after cleansing plus evaluation using ICG/SPY fluorescence.

干预措施: ICG/SPY (Device)

ICG/SPY

Experimental

Daily wound care with antibiotic ointments after cleansing plus evaluation using ICG/SPY fluorescence.

干预措施: Antibiotic Ointment (Drug)

结局指标

主要结局

Perfusion of Burned Area

时间窗: 5 days

Perfusion as measured by ICG Fluorescence

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Sharmila Dissanaike

Professor

Texas Tech University Health Sciences Center

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