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CT Radiomic Features of Pancreatic Neuroendocrine Neoplasms

NCT03967951 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 70

Last updated 2019-12-26

No results posted yet for this study

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.

Conditions

  • Pancreatic Neuroendocrine Tumor

Interventions

OTHER

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.

Sponsors & Collaborators

  • Francesco De Cobelli

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-03-23
Primary Completion
2019-05-06
Completion
2019-05-06

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03967951 on ClinicalTrials.gov