CT Radiomic Features of Pancreatic Neuroendocrine Neoplasms
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Enrollment
- 70
- Locations
- 2
- Primary Endpoint
- Interobserver variability in delineating panNENs on CT
Study Overview
Brief Summary
The aim of this study is to quantify inter-observer variability in delineating pancreatic neuroendocrine neoplasm (PanNEN) on Computerized Tomography (CT) images and its impact on radiomic features (RF), subsequently to this determination, to use CT texture analysis to predict, histological characteristics of PanNEN on CT scans.
Detailed Description
CT imaging is the most widely used modality for studying radiomic features due to its ability to assess tissue density, shape, texture and size before, during and after therapy. To the best of the investigator's knowledge, the impact of inter-observer delineation variability on the reliability of CT RF for PanNEN patients, including Hounsfield unit (HU) values-, shape-, and texture-based features, has not yet been assessed. One this has been determined, an additional evaluation will be conducted to correlate the morphologically observed images with their histopathological characteristics.
The ultimate potential objective of this research is to identify and predict characteristics of aggressiveness of PanNEN in CT scans.
Study Design
- Study Type
- Observational
- Observational Model
- Other
- Time Perspective
- Retrospective
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •> 18 years of age
- •pancreatic neuroendocrine neoplasm with intervention and biopsy
- •availability of pre-operatory CT scan with or without IV contrast agent- inInstitution from 2009-2017
Exclusion Criteria
- •pregnant women
Outcomes
Primary Outcomes
Interobserver variability in delineating panNENs on CT
Time Frame: 6 months
Asses inter-observer variability on CT- scans (with contrast alone)
Secondary Outcomes
- Use CT texture analysis to predict, histological characteristics of PanNEN on CT scans(6 months)
Investigators
Francesco De Cobelli
Professor of Radiology, Head of Clinical and Experimental Radiology
IRCCS San Raffaele