Literature DB >> 30738530

Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty.

Martina Mori1, Giulia Benedetti2, Stefano Partelli3, Carla Sini1, Valentina Andreasi4, Sara Broggi1, Maurizio Barbera2, Giovanni M Cattaneo1, Francesca Muffatti5, Marta Panzeri2, Massimo Falconi3, Claudio Fiorino6, Francesco De Cobelli5.   

Abstract

PURPOSE: The aim of this study was to quantify the impact of CT delineation uncertainty of pancreatic neuroendocrine neoplasms (panNEN) on Radiomic features (RF).
METHODS: Thirty-one previously operated patients were considered. Three expert radiologists contoured panNEN lesions on pre-surgical high-resolution contrast-enhanced CT images and contours were transferred onto pre-contrast CT. Volume agreement was quantified by the DICE index. After images resampling and re-binning, 69 RF were extracted and the impact of inter-observer variability was assessed by Intra-Class Correlation (ICC): ICC > 0.80 was considered as a threshold for "very high" inter-observer agreement.
RESULTS: The median volume was 1.3 cc (range: 0.2-110 cc); a satisfactory inter-observer volume agreement was found (mean DICE = 0.78). Only 4 RF showed ICC < 0.80 (0.48-0.73), including asphericity and three RFs (of five) of the neighborhood intensity difference matrix (NID).
CONCLUSIONS: The impact of inter-observer variability in delineating panNEN on RF was minimum, with the exception of the NID family and asphericity, showing a moderate agreement. These results support the feasibility of studies aiming to assess CT radiomic biomarkers for panNEN.
Copyright © 2018 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CT imaging; Inter-observer variability; Neuroendocrine tumors; Pancreatic tumors; Radiomics

Mesh:

Year:  2018        PMID: 30738530     DOI: 10.1016/j.ejmp.2018.12.005

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  6 in total

Review 1.  CT and MRI of pancreatic tumors: an update in the era of radiomics.

Authors:  Marion Bartoli; Maxime Barat; Anthony Dohan; Sébastien Gaujoux; Romain Coriat; Christine Hoeffel; Christophe Cassinotto; Guillaume Chassagnon; Philippe Soyer
Journal:  Jpn J Radiol       Date:  2020-10-21       Impact factor: 2.374

Review 2.  Does radiomics play a role in the diagnosis, staging and re-staging of gastroesophageal junction adenocarcinoma?

Authors:  Martina Mori; Diego Palumbo; Francesco De Cobelli; Claudio Fiorino
Journal:  Updates Surg       Date:  2022-09-17

Review 3.  Integrating radiomics into holomics for personalised oncology: from algorithms to bedside.

Authors:  Roberto Gatta; Adrien Depeursinge; Osman Ratib; Olivier Michielin; Antoine Leimgruber
Journal:  Eur Radiol Exp       Date:  2020-02-07

Review 4.  The impact of radiomics in diagnosis and staging of pancreatic cancer.

Authors:  Calogero Casà; Antonio Piras; Andrea D'Aviero; Francesco Preziosi; Silvia Mariani; Davide Cusumano; Angela Romano; Ivo Boskoski; Jacopo Lenkowicz; Nicola Dinapoli; Francesco Cellini; Maria Antonietta Gambacorta; Vincenzo Valentini; Gian Carlo Mattiucci; Luca Boldrini
Journal:  Ther Adv Gastrointest Endosc       Date:  2022-03-16

5.  Robustness of radiomic features in magnetic resonance imaging: review and a phantom study.

Authors:  Renee Cattell; Shenglan Chen; Chuan Huang
Journal:  Vis Comput Ind Biomed Art       Date:  2019-11-20

6.  Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the portal-venous enhancement phase.

Authors:  Christian Philipp Reinert; Karolin Baumgartner; Tobias Hepp; Michael Bitzer; Marius Horger
Journal:  Abdom Radiol (NY)       Date:  2020-03
  6 in total

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