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CT Radiomic Features of Pancreatic Neuroendocrine Neoplasms


2019-03-23


2019-05-06


2019-05-06


70

Study Overview

CT Radiomic Features of Pancreatic Neuroendocrine Neoplasms

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.

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.

  • Pancreatic Neuroendocrine Tumor
  • OTHER: CT radiomic feature evaluation
  • panNEN

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates Results Reporting Dates Study Record Updates

2019-05-27  

N/A  

2019-12-24  

2019-05-29  

N/A  

2019-12-26  

2019-05-30  

N/A  

2019-12  

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

Design Details

Primary Purpose:
N/A


Allocation:
N/A


Interventional Model:
N/A


Masking:
N/A


Arms and Interventions

Participant Group/ArmIntervention/Treatment
Primary Outcome MeasuresMeasure DescriptionTime Frame
Interobserver variability in delineating panNENs on CTAsses inter-observer variability on CT- scans (with contrast alone)6 months
Secondary Outcome MeasuresMeasure DescriptionTime Frame
Use CT texture analysis to predict, histological characteristics of PanNEN on CT scansEvaluate histological characteristics on CT-scans with and without contrast agent in a group of subjects6 months

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.

Ages Eligible for Study:
ALL

Sexes Eligible for Study:
18 Years

Accepts Healthy Volunteers:

    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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

  • Belli ML, Mori M, Broggi S, Cattaneo GM, Bettinardi V, Dell'Oca I, Fallanca F, Passoni P, Vanoli EG, Calandrino R, Di Muzio N, Picchio M, Fiorino C. Quantifying the robustness of [18F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and pancreatic cancer patients. Phys Med. 2018 May;49:105-111. doi: 10.1016/j.ejmp.2018.05.013. Epub 2018 May 23.
  • Benedetti G, Mori M, Panzeri MM, Barbera M, Palumbo D, Sini C, Muffatti F, Andreasi V, Steidler S, Doglioni C, Partelli S, Manzoni M, Falconi M, Fiorino C, De Cobelli F. CT-derived radiomic features to discriminate histologic characteristics of pancreatic neuroendocrine tumors. Radiol Med. 2021 Jun;126(6):745-760. doi: 10.1007/s11547-021-01333-z. Epub 2021 Feb 1.