Literature DB >> 28254872

PET/MRI for Oncologic Brain Imaging: A Comparison of Standard MR-Based Attenuation Corrections with a Model-Based Approach for the Siemens mMR PET/MR System.

Ivo Rausch1, Lucas Rischka2, Claes N Ladefoged3, Julia Furtner4, Matthias Fenchel5, Andreas Hahn2, Rupert Lanzenberger2, Marius E Mayerhoefer4, Tatjana Traub-Weidinger6, Thomas Beyer1.   

Abstract

The aim of this study was to compare attenuation-correction (AC) approaches for PET/MRI in clinical neurooncology.
Methods: Forty-nine PET/MRI brain scans were included: brain tumor studies using 18F-fluoro-ethyl-tyrosine (18F-FET) (n = 31) and 68Ga-DOTANOC (n = 7) and studies of healthy subjects using 18F-FDG (n = 11). For each subject, MR-based AC maps (MR-AC) were acquired using the standard DIXON- and ultrashort echo time (UTE)-based approaches. A third MR-AC was calculated using a model-based, postprocessing approach to account for bone attenuation values (BD, noncommercial prototype software by Siemens Healthcare). As a reference, AC maps were derived from patient-specific CT images (CTref). PET data were reconstructed using standard settings after AC with all 4 AC methods. We report changes in diagnosis for all brain tumor patients and the following relative differences values (RDs [%]), with regards to AC-CTref: for 18F-FET (A)-SUVs as well as volumes of interest (VOIs) defined by a 70% threshold of all segmented lesions and lesion-to-background ratios; for 68Ga-DOTANOC (B)-SUVs as well as VOIs defined by a 50% threshold for all lesions and the pituitary gland; and for 18F-FDG (C)-RD of SUVs of the whole brain and 10 anatomic regions segmented on MR images.
Results: For brain tumor imaging (A and B), the standard PET-based diagnosis was not affected by any of the 3 MR-AC methods. For A, the average RDs of SUVmean were -10%, -4%, and -3% and of the VOIs 1%, 2%, and 7% for DIXON, UTE, and BD, respectively. Lesion-to-background ratios for all MR-AC methods were similar to that of CTref. For B, average RDs of SUVmean were -11%, -11%, and -3% and of the VOIs 1%, -4%, and -3%, respectively. In the case of 18F-FDG PET/MRI (C), RDs for the whole brain were -11%, -8%, and -5% for DIXON, UTE, and BD, respectively.
Conclusion: The diagnostic reading of PET/MR patients with brain tumors did not change with the chosen AC method. Quantitative accuracy of SUVs was clinically acceptable for UTE- and BD-AC for group A, whereas for group B BD was in accordance with CTref. Nevertheless, for the quantification of individual lesions large deviations to CTref can be observed independent of the MR-AC method used.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  PET/MRI; attenuation correction; brain tumor imaging; quantification

Mesh:

Substances:

Year:  2017        PMID: 28254872     DOI: 10.2967/jnumed.116.186148

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  12 in total

1.  Intra-Individual Comparison of 124I-PET/CT and 124I-PET/MR Hybrid Imaging of Patients with Resected Differentiated Thyroid Carcinoma: Aspects of Attenuation Correction.

Authors:  Hong Grafe; Maike E Lindemann; Manuel Weber; Julian Kirchner; Ina Binse; Lale Umutlu; Ken Herrmann; Harald H Quick
Journal:  Cancers (Basel)       Date:  2022-06-21       Impact factor: 6.575

2.  Impact of improved attenuation correction featuring a bone atlas and truncation correction on PET quantification in whole-body PET/MR.

Authors:  Mark Oehmigen; Maike E Lindemann; Marcel Gratz; Julian Kirchner; Verena Ruhlmann; Lale Umutlu; Jan Ole Blumhagen; Matthias Fenchel; Harald H Quick
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-09       Impact factor: 9.236

3.  Evaluation of improved attenuation correction in whole-body PET/MR on patients with bone metastasis using various radiotracers.

Authors:  Hong Grafe; Maike E Lindemann; Verena Ruhlmann; Mark Oehmigen; Nader Hirmas; Lale Umutlu; Ken Herrmann; Harald H Quick
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-03-03       Impact factor: 9.236

4.  Dynamic [18F]FET-PET/MRI using standard MRI-based attenuation correction methods.

Authors:  Ivo Rausch; Andreas Zitterl; Neydher Berroterán-Infante; Lucas Rischka; Daniela Prayer; Matthias Fenchel; Reza A Sareshgi; Alexander R Haug; Marcus Hacker; Thomas Beyer; Tatjana Traub-Weidinger
Journal:  Eur Radiol       Date:  2019-01-11       Impact factor: 5.315

5.  Shortened Tracer Uptake Time in GA-68-DOTATOC-PET of Meningiomas Does Not Impair Diagnostic Accuracy and PET Volume Definition.

Authors:  Josefine Graef; Carolin Senger; Christoph Wetz; Alexander D J Baur; Anne K Kluge; Mathias Lukas; Julian M M Rogasch; Thula C Walter-Rittel; David Kohnert; Marcus Makowski; Güliz Acker; Kai Huang; Volker Budach; Holger Amthauer; Imke Schatka; Christian Furth
Journal:  Diagnostics (Basel)       Date:  2020-12-13

6.  Standard MRI-based attenuation correction for PET/MRI phantoms: a novel concept using MRI-visible polymer.

Authors:  Martin Meyerspeer; Ewald Unger; Ivo Rausch; Alejandra Valladares; Lalith Kumar Shiyam Sundar; Thomas Beyer; Marcus Hacker
Journal:  EJNMMI Phys       Date:  2021-02-18

7.  Accuracy of PET quantification in [68Ga]Ga-pentixafor PET/MR imaging of carotid plaques.

Authors:  Ivo Rausch; Dietrich Beitzke; Xiang Li; Sahra Pfaff; Sazan Rasul; Alexander R Haug; Marius E Mayerhoefer; Marcus Hacker; Thomas Beyer; Jacobo Cal-González
Journal:  J Nucl Cardiol       Date:  2020-07-21       Impact factor: 5.952

8.  Reproducibility of Quantitative Brain Imaging Using a PET-Only and a Combined PET/MR System.

Authors:  Martin L Lassen; Otto Muzik; Thomas Beyer; Marcus Hacker; Claes Nøhr Ladefoged; Jacobo Cal-González; Wolfgang Wadsak; Ivo Rausch; Oliver Langer; Martin Bauer
Journal:  Front Neurosci       Date:  2017-07-17       Impact factor: 4.677

Review 9.  Current Radiopharmaceuticals for Positron Emission Tomography of Brain Tumors.

Authors:  Ji Hoon Jung; Byeong Cheol Ahn
Journal:  Brain Tumor Res Treat       Date:  2018-10

10.  Attenuation Correction Approaches for Serotonin Transporter Quantification With PET/MRI.

Authors:  Lucas Rischka; Gregor Gryglewski; Neydher Berroterán-Infante; Ivo Rausch; Gregory Miles James; Manfred Klöbl; Helen Sigurdardottir; Markus Hartenbach; Andreas Hahn; Wolfgang Wadsak; Markus Mitterhauser; Thomas Beyer; Siegfried Kasper; Daniela Prayer; Marcus Hacker; Rupert Lanzenberger
Journal:  Front Physiol       Date:  2019-11-22       Impact factor: 4.566

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