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CT Radiomic Features of Pancreatic Neuroendocrine Neoplasms
Sponsor: Francesco De Cobelli
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
70
Start Date
2019-03-23
Completion Date
2019-05-06
Last Updated
2026-09-23
Healthy Volunteers
No
Conditions
Interventions
CT radiomic feature evaluation
Radiomic features will be calculated and extracted from all contrast and non-contrast CT-scans. First order features will be evaluated and high order features will be grouped in parent matrices. Parent matrices of second and third order will be chosen and evaluated. In the second part, based on the results of inter-correlation of the operator analysis, the most significant radiomic features will be chosen. Morphological and histopathological features will be evaluated will be. Histopathology will be performed on a biopsy specimen; percentage of Ki67 and grading will be evaluated.
Locations (2)
Deaprtment of Radiology, IRCCS Ospadale San Raffaele
Milan, Italy
IRCCS Ospedale San Raffaele
Milan, Italy