Literature DB >> 25999064

Qualitative and quantitative image analysis of CT and MR imaging in patients with neuroendocrine liver metastases in comparison to (68)Ga-DOTATOC PET.

Paul Flechsig1, Christian M Zechmann2, Julian Schreiweis3, Clemens Kratochwil3, Daniel Rath3, Lawrence H Schwartz4, Heinz-Peter Schlemmer5, Hans-Ulrich Kauczor1, Uwe Haberkorn6, Frederik L Giesel7.   

Abstract

PURPOSE: To compare lesion conspicuity in patients with liver metastases arising from gastroenteropancreatic neuroendocrine tumors (GEP-NETs) using MRI, PET and CT.
MATERIALS AND METHODS: 16 patients with GEP-NETs were evaluated using non-contrast MRI, contrast-enhanced (CE) MRI using Gd-EOB-DTPA and CE-(68)Ga-DOTATOC PET. Quantitative analyses were performed by two blinded readers using ROI-analyses quantifying contrast ratios (CR) between normal liver-tissue and GEP-NET-metastases. Qualitative analyses were performed evaluating primary visibility and spatial detectability of all lesions.
RESULTS: 103 of the same liver metastases were detected on all modalities. Qualitatively, lesion conspicuity was superior on CE-MRI imaging compared to non-contrast MR-sequences (T2, DWI, fl2D, fl3D), as well as arterial- and portal-venous phase CT. Concerning detectability of lesions, CE-MRI was superior to all other modalities. The quantitative ROI-analysis demonstrated improved CR for DWI compared to all other non-contrast MR-sequences (p<0.001). CE-MRI presented with higher CR-values compared to CE-(68)Ga-DOTATOC PET/CT (p<0.001).
CONCLUSIONS: Anatomic imaging using non contrast MRI with fl2D-and fl3D-sequences in combination with the molecular imaging modality (68)Ga-DOTATOC PET is optimal for the assessment of liver lesions in GEP-NET-patients. Even though CE-MRI was superior to non-contrast MRI, non-contrast MRI is sufficient to detect and quantify liver metastases in daily routine, especially in combination with DW-Imaging.
Copyright © 2015. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Computed tomography; Gastroenteropancreatic neuroendocrine tumors; Magnetic resonance imaging; Metastasis; Positron emission tomography

Mesh:

Substances:

Year:  2015        PMID: 25999064     DOI: 10.1016/j.ejrad.2015.04.009

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

1.  Role of CT Density in PET/CT-Based Assessment of Lymphoma.

Authors:  Paul Flechsig; Christina Walker; Clemens Kratochwil; Laila König; Andrei Iagura; Jan Moltz; Tim Holland-Letz; Hans-Ulrich Kauczor; Uwe Haberkorn; Frederik L Giesel
Journal:  Mol Imaging Biol       Date:  2018-08       Impact factor: 3.488

Review 2.  Current updates and future directions in diagnosis and management of gastroenteropancreatic neuroendocrine neoplasms.

Authors:  Andrew Canakis; Linda S Lee
Journal:  World J Gastrointest Endosc       Date:  2022-05-16

3.  PET/MRI for neuroendocrine tumors: a match made in heaven or just another hype?

Authors:  Ali Pirasteh; Christopher Riedl; Marius Erik Mayerhoefer; Romina Grazia Giancipoli; Steven Mark Larson; Lisa Bodei
Journal:  Clin Transl Imaging       Date:  2019-09-20

4.  Sensitivity of different MRI sequences in the early detection of melanoma brain metastases.

Authors:  Katerina Deike-Hofmann; Daniel Thünemann; Michael O Breckwoldt; Daniel Schwarz; Alexander Radbruch; Alexander Enk; Martin Bendszus; Jessica Hassel; Heinz-Peter Schlemmer; Philipp Bäumer
Journal:  PLoS One       Date:  2018-03-29       Impact factor: 3.240

5.  Magnetic Resonance Imaging and Serum AFP-L3 and GP-73 in the Diagnosis of Primary Liver Cancer.

Authors:  Jun-Jian Yuan; Yan-Dong Xu; Heng Li; Qing-Jin Guo; Guo-Ce Li; Wei Chai; Zhi-Quan Zhang; Ru-Hai Liu
Journal:  J Oncol       Date:  2022-03-30       Impact factor: 4.375

6.  Preoperative 68Ga-DOTA-Somatostatin Analog-PET/CT Hybrid Imaging Increases Detection Rate of Intra-abdominal Small Intestinal Neuroendocrine Tumor Lesions.

Authors:  Olov Norlén; Harald Montan; Per Hellman; Peter Stålberg; Anders Sundin
Journal:  World J Surg       Date:  2018-02       Impact factor: 3.352

  6 in total

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