Clinical trial · Observational
NON-INVASIVE BLOOD FLOW ASSESSMENT: Computational Tool for Measuring Arterial Flow From CT
Computational Tool for Measuring Arterial Flow From CT
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Pancreatic Cancer | Malignant Pancreatic Neoplasm | CURATED_EXACT | 0.92 |
| Surgical Planning | — | UNRESOLVED | — |
| Vascular | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Blood flow measurement | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Accuracy of blood flow modification prediction
- timeFrame
- 10 months
- description
- Compare software's blood flow modification prediction with introperative measurement in each patient.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Candidates for pancreaticoduodenectomy. * Good quality preoperative DICOM CT (arterial phase). * Michel's I arterial configuration. * Any surgical approach (open or robotic). * Informed consent. Exclusion Criteria: * Age \< 18 years. * Technical inability to measure flow. * GDA infiltration.
References
Publications (0)
Data not yet available