Study on the Correlation between Nonalcoholic Fatty Liver and Metabolic Syndrome Based on Magnetic Resonance Diffusion-Weighted Imaging

This paper explores the relationship between magnetic resonance diffusion-weighted imaging of nonalcoholic fatty liver disease (NAFLD) and metabolic syndrome (MS), as well as the study of diffusion-weighted imaging, spectral imaging, and low density of nonalcoholic fatty liver correlation between serum concentration of lipoprotein cholesterol (LDL-C). This collection is from February 2018 to May 2018 in hospital as 39 cases of nonalcoholic fatty liver patients in the observation group and 39 patients in the control group with the same period of physical examination. All patients underwent magnetic resonance spectroscopy imaging, magnetic resonance diffusion-weighted imaging examination, and serum LDL-C test, compared the results of the two groups, and analysed the correlation between magnetic resonance spectroscopy imaging and magnetic resonance diffusion-weighted imaging examination results and LDL-C. The results showed that the prevalence of NAFLD was 12.33%, and the prevalence of NAFLD and MS was 3.47%. Magnetic resonance spectroscopy observation parameter group and the control group had statistically significant difference when compared ( P < 0.05). Difference was statistically significant ( P < 0.01). In conclusion, nonalcoholic fatty liver DWI and MR spectroscopy is closely related to LDL-C targets, quantitatively and noninvasively reflects the body’s fat metabolism, and can provide more extensive clinical diagnosis of nonalcoholic fatty liver. NAFLD is closely related to MS. The mutual aggravation and mutual promotion in the pathogenesis of the two should arouse enough attention and comprehensive prevention and treatment.

Accurate Quantification of Choline-to-Creatine Ratio as a Biomarker to Distinguish Osteosarcoma Patients from Normal Subjects Employing Proton Magnetic Resonance Spectroscopy Imaging at 3 Tesla

Purpose: This study focused on accurate quantification of a maximum of Choline-to-Creatine ratio (Max (Cho/Cr)) in 10 Osteosarcoma patients, in comparison with 5 healthy volunteers as our control group using proton Magnetic Resonance Spectroscopy Imaging (1H-MRSI). Materials and Methods: Max (Cho/Cr) were obtained in 10 patients with Osteosarcoma over their corresponding ratio maps containing diseased tissue, to be compared with Cho/Cr in 5 healthy volunteers at 3T, employing MRSI (Performed Employing Pointed-resolved Spectroscopy (PRESS), TR/TE: 2500s /135 ms) with water-suppression. An extra unsuppressed water Single-Voxel Spectroscopy (SVS) was acquired to provide phase information for further Eddy Current Correction (ECC). Multi-stage preprocessing was applied. Subtract QUEST MRSI as a time-domain technique was employed to accurately quantify the metabolites’ ratios and to estimate the baseline. Results: An optimal database for Subtract QUEST was achieved based on multiple trials evaluated by acceptable peak-fitting and Cramer-Rao-Bound (CRB). Lipids at frequencies of 0.94 and 1.33ppm were combined to increase the accuracy of the Lipid estimation. Conclusion: Estimation of Max (Cho/Cr) evaluated over Cho/Cr spatial maps to distinguish Osteosarcoma patients from normal subjects suggested that the proposed quantification method leads to high power and linear classifier with a high degree of reproducibility, considering 1H-MRSI at 3T machine as a high efficacy diagnostic tool for musculoskeletal radiology.

The Role of Magnetic Resonance Spectroscopy Imaging Parameters to Predict Early Biochemical Recurrence after Radical Prostatectomy

To evaluate the role of magnetic resonance spectroscopy imaging (MRSI) parameters to predict early biochemical recurrence (BCR) after radical prostatectomy (RP) in patients with non-metastatic prostate cancer (PCa). Between November 2010 and March 2012, 60 consecutive patients with clinically non-metastatic biopsy confirmed PCa underwent RP after MRSI assessment in a prospective study. Demographic, clinicopathological, magnetic resonance imaging (MRI) staging, MRSI parameters, and postoperative serum prostate-specific antigen were recorded. The univariate and multivariate Cox regression analyses were used to assess the association between potential prognosticators and early BCR (BCR less than 12 months after RP). In univariate Cox regression, preoperative serum PSA (prostate-specific antigen) (HR – hazard ratio = 1.016, p=0.003), surgical Gleason score > 7 (HR = 5.034, p=0.006) and MRSI risk score (HR = 4.061, p=0.0001); and in multivariate model, preoperative serum PSA (HR = 1.012; p=0.046), surgical GS > 7 (HR = 4.196; p=0.017) and MRSI risk score (HR = 3.256; p=0.013) were associated with early BCR. The greatest AUC (area under the curve) was related to MRSI risk score (AUC = 0.733) and the AUC of the multivariate model was 0.776. MRI/MRSI parameters specially MRSI risk score might be acceptable predictors of early BCR. These parameters can improve the accuracy of predictive nomograms to assess the risk of BCR after RP.