The aim of this study was to validate quantitative performance of a newly released simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI) scanner, by using MR-based attenuation correction (MRAC), both in phantom study and in patient study. PET/MRI image uniformities of a phantom under different hardware configurations were tested and compared. Thirty patients were examined with 2-deoxy-2-[F]fluoro-D-glucose (F-FDG) PET/computed tomography (CT) and subsequent PET/MRI. PET images from PET/MRI were corrected with MRAC (PET), CT-based attenuation maps (-maps, PET), and segmented CT -maps (PET) derived from PET/CT. Standardized uptake values (SUVs) were compared among the 3 sets of PET in main organs (bone, liver and lung) and in 52 FDG-avid lesions, including soft-tissue lesions and bone lesions. The result showed that PET imaging uniformities of PET/MRI under different configurations were good (<8.8%). The SUV differences among the 3 sets of PET varied with organs and lesion types. In detail, the mean relative differences of SUV between PET and PET were as follows: -18.8%, bone (SUV); -8.0%, liver (SUV); -12.2%, lung (SUV); -18.1%, bone lesions (SUV); -13.3%, bone lesions (SUV); -8.2%, soft-tissue lesions (SUV); and -7.3%, soft-tissue lesions (SUV). The mean relative differences between PET and PET were as follows: -19.0%, bone (SUV); -3.5%, liver (SUV); -3.3%, lung (SUV); -19.3%, bone lesions (SUV); -17.5%, bone lesions (SUV); -5.5%, soft-tissue lesions (SUV); and -4.4%, soft-tissue lesions (SUV). The differences of SUV between PET and PET were larger than those between PET and PET, in both soft tissue and soft-tissue lesions ( < 0.001), but not in bone or bone lesions. In conclusion, MRAC in the newly released PET/MR system is accurate in most tissues, with SUV deviations being generally less than 10%, compared to PET/CT. In bone, however, underestimations can be substantial, which may be partially attributed to segmentation of the MR-based -maps.
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http://dx.doi.org/10.1155/2019/8213215 | DOI Listing |
J Appl Clin Med Phys
November 2024
University of Utah, Salt Lake City, Utah, USA.
Background: In modern positron emission tomography (PET) with multi-modality imaging (e.g., PET/CT and PET/MR), the attenuation correction (AC) is the single largest correction factor for image reconstruction.
View Article and Find Full Text PDFJ Magn Reson Imaging
July 2024
Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
J Magn Reson Imaging
June 2024
Department of Medical Imaging, Zhengzhou University People's Hospital, Zhengzhou, China.
Background: Restriction spectrum imaging (RSI), as an advanced quantitative diffusion-weighted magnetic resonance imaging technique, has the potential to distinguish primary benign and malignant lung lesions.
Objective: To explore how well the tri-compartmental RSI performs in distinguishing primary benign from malignant lung lesions compared with diffusion-weighted imaging (DWI), and to further explore whether positron emission tomography/magnetic resonance imaging (PET/MRI) can improve diagnostic efficacy.
Study Type: Prospective.
Cancer Imaging
May 2024
Department of Radiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, China.
Objectives: Magnetic resonance (MR)-based radiomics features of brain metastases are utilised to predict epidermal growth factor receptor (EGFR) mutation and human epidermal growth factor receptor 2 (HER2) overexpression in adenocarcinoma, with the aim to identify the most predictive MR sequence.
Methods: A retrospective inclusion of 268 individuals with brain metastases from adenocarcinoma across two institutions was conducted. Utilising T1-weighted imaging (T1 contrast-enhanced [T1-CE]) and T2 fluid-attenuated inversion recovery (T2-FLAIR) sequences, 1,409 radiomics features were extracted.
PLoS Genet
May 2024
Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.
Age at first sexual intercourse (AFS) and lifetime number of sexual partners (NSP) may influence the pathogenesis of uterine leiomyoma (UL) through their associations with hormonal concentrations and uterine infections. Leveraging summary statistics from large-scale genome-wide association studies conducted in European ancestry for each trait (NAFS = 214,547; NNSP = 370,711; NUL = 302,979), we observed a significant negative genomic correlation for UL with AFS (rg = -0.11, P = 7.
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