CT Radiomic Features of Pancreatic Neuroendocrine Neoplasms
NCT ID: NCT03967951
Last Updated: 2019-12-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
70 participants
OBSERVATIONAL
2019-03-23
2019-05-06
Brief Summary
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Detailed Description
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The ultimate potential objective of this research is to identify and predict characteristics of aggressiveness of PanNEN in CT scans.
Conditions
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Keywords
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Study Design
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OTHER
RETROSPECTIVE
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* 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
18 Years
ALL
No
Sponsors
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Francesco De Cobelli
OTHER
Responsible Party
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Francesco De Cobelli
Professor of Radiology, Head of Clinical and Experimental Radiology
Locations
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Deaprtment of Radiology, IRCCS Ospadale San Raffaele
Milan, , Italy
IRCCS Ospedale San Raffaele
Milan, , Italy
Countries
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References
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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.
Other Identifiers
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panNEN
Identifier Type: -
Identifier Source: org_study_id