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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.
Rausch, Ivo; Rischka, Lucas; Ladefoged, Claes N; Furtner, Julia; Fenchel, Matthias; Hahn, Andreas; Lanzenberger, Rupert; Mayerhoefer, Marius E; Traub-Weidinger, Tatjana; Beyer, Thomas.
Afiliación
  • Rausch I; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
  • Rischka L; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Ladefoged CN; Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark.
  • Furtner J; Division of Neuroradiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Fenchel M; Siemens Healthcare GmbH, Magnetic Resonance, Erlangen, Germany; and.
  • Hahn A; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Lanzenberger R; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Mayerhoefer ME; Division of Neuroradiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Traub-Weidinger T; Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria tatjana.traub-weidinger@meduniwien.ac.at.
  • Beyer T; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
J Nucl Med ; 58(9): 1519-1525, 2017 09.
Article en En | MEDLINE | ID: mdl-28254872
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Neoplasias Encefálicas / Imagen por Resonancia Magnética / Tomografía de Emisión de Positrones / Imagen Multimodal Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Nucl Med Año: 2017 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Neoplasias Encefálicas / Imagen por Resonancia Magnética / Tomografía de Emisión de Positrones / Imagen Multimodal Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Nucl Med Año: 2017 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Estados Unidos