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391.
Purpose
The aim of this study was to investigate the diagnostic role of the apparent diffusion coefficient (ADC) measurement in the diagnosis of focal parenchymal lesions and to understand the discriminating role of the ADC value for differentiating Fasciola lesions from other focal liver lesions. 相似文献392.
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Sermin Genc Mehtap Yuksel Egrilmez Erdem Yaka Zahide Cavdar Leyla Iyilikci Gorsev Yener Kursad Genc 《Neurological sciences》2009,30(3):263-267
In the present study, we determined the significance of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) in
Alzheimer’s disease (AD). We characterized the expression of TRAIL protein in the cerebrospinal fluid (CSF) and serum with
ELISA and TRAIL mRNA in the peripheral blood mononuclear cells (PBMCs) with real-time PCR in 22 patients with AD and 20 control
cases. We could not find TRAIL protein in the CSF samples. The concentration of TRAIL protein in sera from patients with AD
was not different from controls. However, there was an inverse correlation between serum TRAIL levels and Mini-Mental State
Examination scores in AD patients. Also we did not find significant difference in TRAIL mRNA in the PBMCs of patients with
AD when compared with control group. Our data indicate that TRAIL serum level decreases in the late stage of disease. 相似文献
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RATIONALE AND OBJECTIVES: The objective of this work was to develop a quantitative method for improving lesion detection in dynamic contrast-enhanced magnetic resonance mammography (DCEMRM). For this purpose, we segmented and analyzed suspicious regions according to their contrast enhancement dynamics, generated a normalized maximum intensity-time ratio (nMITR) projection, and explored it to extract important features, to improve accuracy and reproducibility of detection. MATERIALS AND METHODS: A novel automated method is introduced to segment and analyze lesions in three dimensions. It consists of four consecutive stages: volume of interest selection, nMITR projection generation using a voxel sampling method based on a moving 3 x 3 mask, three-dimensional lesion segmentation, and feature extraction. The nMITR projection of the detected lesion is used to extract six features: mean, maximum, standard deviation, kurtosis, skewness, and entropy, and their diagnostic significance is studied in detail. High-resolution MR images of 52 breast masses from 46 women are analyzed using the technique developed. RESULTS: Entropy, standard deviation, and the maximum and mean value features were found to have high significance (P < 0.001) and diagnostic accuracy (0.86-0.97). The kurtosis and skewness were not significant. Automated analysis of DCEMRM using nMITR was shown to be feasible. CONCLUSION: The lesion detection method described is efficient and leads to improved, accurate, reproducible diagnoses. It is reliable in terms of observer variability and may allow for a better standardization of clinical evaluations. The findings demonstrate the usefulness of nMITR based features; nMITR-entropy shows the best performance for quantitative diagnosis. 相似文献
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Hakan Yarali Mehtap Polat Sezcan Mumusoglu Irem Yarali Gurkan Bozdag 《Journal of assisted reproduction and genetics》2016,33(10):1287-1304