Major invasive surgery, such as oncological abdominal surgery, is associated with a high risk of complications and mortality. One of the main problems in this type of surgery is the difficulty in preserving the arteries and veins necessary to support vital organs. The main objective of this project is to develop software to predict vascular flow changes based on preoperative computed tomography (CT) scans. Currently, the only way to assess preoperative vascular flow is through percutaneous angiography. This is an invasive procedure that requires anaesthesia, hospitalisation, high doses of radiation, vessel manipulation and the possibility of serious injury. It is often used for the diagnosis of vascular stenosis, analysis of vascular flow and preoperative planning to determine which vessels are directly related to organ perfusion. This preoperative planning will be key in the following clinical scenarios: 1. Anomalous hepatic artery anatomy in pancreaticoduodenectomy. 2. Celiac trunk stenosis. 3. Hepatic artery revascularisation from the superior mesenteric artery. 4. Hepatic artery flow assessment in liver transplantation. 5. Splenic artery flow steal phenomenon in liver transplantation. Novella aims to develop a tool that has the capability to predict postoperative vascular flow.
Study Type
OBSERVATIONAL
Enrollment
100
Intraoperative blood flow measurement
Hospital Clínic de Barcelona
Barcelona, Barcelona, Spain
Accuracy of blood flow modification prediction
Compare software's blood flow modification prediction with introperative measurement in each patient.
Time frame: 10 months
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.