Tissue Perfusion, Tumor, Inflammation, Inflammatory Bowel Diseases
Conditions
Keywords
hyperspectral imaging, tissue detection, tumor detection, infammatory bowel disease, colorectal cancer
Brief summary
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
Detailed description
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.
Interventions
Photos were taken with the hyperspectral camera of the human tissue
At the marked regions of the specimen, a lactate acid measurement was performed.
At the marked regions of the specimen, the pathological examination was performed.
Sponsors
Study design
Eligibility
Inclusion criteria
* All patients with surgical procedure
Exclusion criteria
* inability to consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Tumor detection with HSI | 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. |
| Tissue recognition with HSI | after the operation within 24 hours | different tissues can be differentiated from each other with HSI |
| Inflammatory classification with HSI | after the operation within 24 hours | Classification of the grade of the inflammation e.g. in IBD |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Tissue perfusion | direct during the Operation (ca. 10-15 Minutes) | Tissue perfusion in the upper and lower tissue layers measured with the HSI Camera |
Countries
Germany