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

被引:25
作者
Rausch, Ivo [1 ]
Rischka, Lucas [2 ]
Ladefoged, Claes N. [3 ]
Furtner, Julia [4 ]
Fenchel, Matthias [5 ]
Hahn, Andreas [2 ]
Lanzenberger, Rupert [2 ]
Mayerhoefer, Marius E. [4 ]
Traub-Weidinger, Tatjana [6 ]
Beyer, Thomas [1 ]
机构
[1] Med Univ Vienna, Ctr Med Phys & Biomed Engn, Vienna, Austria
[2] Med Univ Vienna, Dept Psychiat & Psychotherapy, Vienna, Austria
[3] Univ Copenhagen, Dept Clin Physiol Nucl Med & PET, Copenhagen, Denmark
[4] Med Univ Vienna, Dept Biomed Imaging & Image Guided Therapy, Div Neuroradiol, Vienna, Austria
[5] Siemens Healthcare GmbH, Magnet Resonance, Erlangen, Germany
[6] Med Univ Vienna, Dept Biomed Imaging & Image Guided Therapy, Div Nucl Med, Vienna, Austria
关键词
PET/MRI; brain tumor imaging; attenuation correction; quantification; WHOLE-BODY PET/MRI; INTERNATIONAL WORKSHOP; BONE; EMISSION; RECOMMENDATIONS; CHALLENGES; DIAGNOSIS; TUBINGEN; GERMANY; SCANNER;
D O I
10.2967/jnumed.116.186148
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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 F-18-fluoro-ethyl-tyrosine (F-18-FET) (n = 31) and Ga-68-DOTANOC (n = 7) and studies of healthy subjects using F-18-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 F-18-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 Ga-68-DOTANOC (B)-SUVs as well as VOIs defined by a 50% threshold for all lesions and the pituitary gland; and for F-18-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 F-18-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.
引用
收藏
页码:1519 / 1525
页数:7
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