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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.
- Source :
-
Journal of nuclear medicine : official publication, Society of Nuclear Medicine [J Nucl Med] 2017 Sep; Vol. 58 (9), pp. 1519-1525. Date of Electronic Publication: 2017 Mar 02. - Publication Year :
- 2017
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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 <superscript>18</superscript> F-fluoro-ethyl-tyrosine ( <superscript>18</superscript> F-FET) ( n = 31) and <superscript>68</superscript> Ga-DOTANOC ( n = 7) and studies of healthy subjects using <superscript>18</superscript> F-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 <superscript>18</superscript> F-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 <superscript>68</superscript> Ga-DOTANOC (B)-SUVs as well as VOIs defined by a 50% threshold for all lesions and the pituitary gland; and for <superscript>18</superscript> F-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 SUV <subscript>mean</subscript> 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 SUV <subscript>mean</subscript> were -11%, -11%, and -3% and of the VOIs 1%, -4%, and -3%, respectively. In the case of <superscript>18</superscript> F-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.<br /> (© 2017 by the Society of Nuclear Medicine and Molecular Imaging.)
- Subjects :
- Artifacts
Humans
Image Processing, Computer-Assisted standards
Organometallic Compounds
Retrospective Studies
Tyrosine analogs & derivatives
Brain diagnostic imaging
Brain Neoplasms diagnostic imaging
Image Processing, Computer-Assisted methods
Magnetic Resonance Imaging
Multimodal Imaging
Positron-Emission Tomography
Subjects
Details
- Language :
- English
- ISSN :
- 1535-5667
- Volume :
- 58
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Journal of nuclear medicine : official publication, Society of Nuclear Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 28254872
- Full Text :
- https://doi.org/10.2967/jnumed.116.186148