Literature DB >> 26646652

Pancreatic Neuroendocrine Neoplasms: Clinical Value of Diffusion-Weighted Imaging.

Riccardo De Robertis1, Mirko D'Onofrio, Giulia Zamboni, Paolo Tinazzi Martini, Stefano Gobbo, Paola Capelli, Giovanni Butturini, Roberto Girelli, Silvia Ortolani, Sara Cingarlini, Paolo Pederzoli, Aldo Scarpa.   

Abstract

BACKGROUND/AIMS: Diffusion-weighted imaging (DWI) can depict random motions of water molecules in biological tissues during magnetic resonance (MR) examinations. Few papers have tested its application to pancreatic neuroendocrine neoplasms (PanNENs). The aim of this paper is to assess the clinical value of DWI regarding the identification and characterization of PanNENs and diagnosis of liver metastases.
METHODS: Preoperative MR examinations of 30 PanNEN patients were retrospectively reviewed; 30 patients with pathologically proven pancreatic ductal adenocarcinoma (PDAC) were included to compare the imaging features. Qualitative and quantitative MR features were compared between histotypes. A blinded-reader comparison of diagnostic confidence for PanNENs and liver metastases was conducted on randomized image sets. All results were compared with pathological data.
RESULTS: PanNEN conspicuity was higher on DW images compared to conventional MR sequences. DWI had higher detection rates for PanNENs than had conventional sequences (93.3 vs. 71.1%). Sharp margins and absence of main pancreatic duct/common bile duct dilation and chronic pancreatitis were more common among PanNENs as compared to PDACs. Arterial iso- or hyperenhancement and portal hyperenhancement were more frequent within PanNENs as compared to PDACs. No differences between histotypes were found for quantitative features. Arterial-phase images had the highest interobserver agreement for the diagnosis of PanNEN (Cohen's κ = 0.667). DWI provided the highest detection rate for liver metastases as well as excellent interobserver agreement for the diagnosis of liver metastases (κ = 0.932), with good accuracy (AUC = 0.879-0.869).
CONCLUSION: DWI has clinical value regarding the identification of PanNENs and the diagnosis of liver metastases, while conventional MR sequences are fundamental for their characterization.
© 2015 S. Karger AG, Basel.

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Year:  2015        PMID: 26646652     DOI: 10.1159/000442984

Source DB:  PubMed          Journal:  Neuroendocrinology        ISSN: 0028-3835            Impact factor:   4.914


  7 in total

1.  68Ga-DOTATATE PET/CT Interobserver Agreement for Neuroendocrine Tumor Assessment: Results of a Prospective Study on 50 Patients.

Authors:  Wolfgang Peter Fendler; Martin Barrio; Claudio Spick; Martin Allen-Auerbach; Valentina Ambrosini; Matthias Benz; Christina Bluemel; Ravinder Kaur Grewal; Constantin Lapa; Matthias Miederer; Guillaume Nicolas; Tibor Schuster; Johannes Czernin; Ken Herrmann
Journal:  J Nucl Med       Date:  2016-08-18       Impact factor: 10.057

Review 2.  Imaging of pancreatic neuroendocrine tumors: recent advances, current status, and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Rev Anticancer Ther       Date:  2018-07-17       Impact factor: 4.512

3.  Reliability and Agreement of Radiological and Pathological Tumor Size in Patients with Multiple Endocrine Neoplasia Type 1-Related Pancreatic Neuroendocrine Tumors: Results from a Population-Based Cohort.

Authors:  Dirk-Jan van Beek; Helena M Verkooijen; Sjoerd Nell; Bert A Bonsing; Casper H van Eijck; Harry van Goor; Frederik J H Hoogwater; Elisabeth J M Nieveen van Dijkum; Geert Kazemier; Cornelis H C Dejong; Lodewijk A A Brosens; Frank J Wessels; Inne H M Borel Rinkes; Gerlof D Valk; Menno R Vriens
Journal:  Neuroendocrinology       Date:  2020-07-28       Impact factor: 4.914

4.  Comparison of imaging-based and pathological dimensions in pancreatic neuroendocrine tumors.

Authors:  Salvatore Paiella; Harmony Impellizzeri; Elisabetta Zanolin; Giovanni Marchegiani; Marco Miotto; Anna Malpaga; Riccardo De Robertis; Mirko D'Onofrio; Borislav Rusev; Paola Capelli; Sara Cingarlini; Giovanni Butturini; Maria Vittoria Davì; Antonio Amodio; Claudio Bassi; Aldo Scarpa; Roberto Salvia; Luca Landoni
Journal:  World J Gastroenterol       Date:  2017-05-07       Impact factor: 5.742

5.  Pancreatic neuroendocrine neoplasms: Magnetic resonance imaging features according to grade and stage.

Authors:  Riccardo De Robertis; Sara Cingarlini; Paolo Tinazzi Martini; Silvia Ortolani; Giovanni Butturini; Luca Landoni; Paolo Regi; Roberto Girelli; Paola Capelli; Stefano Gobbo; Giampaolo Tortora; Aldo Scarpa; Paolo Pederzoli; Mirko D'Onofrio
Journal:  World J Gastroenterol       Date:  2017-01-14       Impact factor: 5.742

6.  Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR.

Authors:  Wei Li; Chao Xu; Zhaoxiang Ye
Journal:  Front Oncol       Date:  2021-11-17       Impact factor: 6.244

7.  Updated Trends in Imaging Practices for Pancreatic Neuroendocrine Tumors (PNETs): A Systematic Review and Meta-Analysis to Pave the Way for Standardization in the New Era of Big Data and Artificial Intelligence.

Authors:  Ephraïm Partouche; Randy Yeh; Thomas Eche; Laura Rozenblum; Nicolas Carrere; Rosine Guimbaud; Lawrence O Dierickx; Hervé Rousseau; Laurent Dercle; Fatima-Zohra Mokrane
Journal:  Front Oncol       Date:  2021-07-14       Impact factor: 6.244

  7 in total

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