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临床试验/NCT04230603
NCT04230603Unknown不适用

Tissue Characterisation With Hyperspectral Imaging Methods

University of Leipzig2 个研究点 分布在 1 个国家目标入组 1,000 人开始时间: 2019年6月6日最近更新:
适应症

试验速览

阶段
不适用
发起方
入组人数
1,000
试验地点
2
主要终点
Tissue recognition with HSI

研究概览

简要总结

Hyperspectral Imaging (HSI) is a contact free method to analyse the from the tissue reflected light in the range of 500-1000nm. Aim of the study is to identify special reflex patterns to identify special tissue

详细描述

This HSI-camera provides hyperspectral images with a high spectral resolution (5 nm) in the visible and near infrared range (500-1000 nm). A RGB image and 4 false color images that represent physiologic parameters are intraoperatively provided by an analysis software. But after the procedure all spectral datasets could be investigated. To analyse and differentiate the different tissues, a catalog database is needed of all tissues including Tumors.

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 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • All patients with surgical procedure

排除标准

  • inability to consent

结局指标

主要结局

Tissue recognition with HSI

时间窗: after the operation within 24 hours

different tissues can be differentiated from each other with HSI

Inflammatory classification with HSI

时间窗: after the operation within 24 hours

Classification of the grade of the inflammation e.g. in IBD

Tumor detection with HSI

时间窗: direct during the Operation (ca. 15-20 Minutes)

Due to the non-invasive diagnostics with the HSI camera, tumor tissue can be distinguished from healthy tissue.

次要结局

  • Tissue perfusion(direct during the Operation (ca. 10-15 Minutes))

研究者

发起方
University of Leipzig
申办方类型
Other
责任方
Principal Investigator
主要研究者

Dr. Boris Jansen-Winkeln

Boris Jansen-Winkeln

University of Leipzig

研究点 (2)

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