Multispectral/Hyperspectral Imaging for Surgery
Recruiting
- Conditions
- C64Malignant neoplasm of kidney, except renal pelvis
- Registration Number
- DRKS00020996
- Lead Sponsor
- German Cancer Research Center - Deutsches Krebsforschungszentrum
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 40
Inclusion Criteria
Patients undergoing partial kidney nephrectomy
Exclusion Criteria
Minors
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The primary outcome is the investigation of the hypothesis that multispectral imaging can be used to detect ischemia in the kidney. The evaluation takes place outside the OR after the surgery has finished. The multispectral images are post-processed with Machine Learning and Deep Learning algorithms to predict the perfusion state (perfused or non-perfused) of the kidney. This prediction is compared to the ground truth state available because of the placement of a clamp severing the kidney from the main blood supply during surgery
- Secondary Outcome Measures
Name Time Method