ABSTRACT
Objective:To evaluate the clinical value of 5.0 T ultra-high filed MRI system in assessing intracranial arteries segments and vessel branchers.Methods:This study was a prospective study. Totally 40 consecutive healthy volunteers were recruited from Zhongshan Hospital, Fudan University from September 1, 2021 to November 30, and all participants who underwent either 3.0 T or 5.0 T time-of-flight MR angiography (TOF-MRA) in random order were divided into 3.0 T MR group and 5.0 T MR group with 20 volunteers for each group. Image quality was assessed by Likert 5 scoring systems and signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR),and score in visualization of intracranial arteries [middle cerebral artery (MCA) and its segments, anterior cerebral artery (ACA) and its segments, posterior cerebral artery (PCA) and its segments, lenticulostriate arteries (LA) and pontine artery (PA)] were assessed from 0 to 3 (≥2: good depiction of vessel segment). Quantitative indicators were compared between 2 groups using independent t test or Mann-Whitney U test. Results:Among the 40 subjects, there were 29 males and 11 females, aged 20-69 (50±12) years. SNR and CNR were both significantly higher in 5.0 T MR group than those in 3.0 T MR group (SNR: 187±9 vs 91±4, t=31.59, P<0.001; CNR: 156±7 vs 70±4, t=31.45, P<0.001), but there was no significant difference in subjective scores of image quality between the 5.0 T MR and 3.0 T MR groups [5.0 (4.0, 5.0), 5.0 (5.0, 5.0) points, respectively, Z=-1.23, P=0.218]. In the evaluation of cerebral arteries, the visualizations of the proximal and middle segments of MCA, ACA and PCA was better than those in the 3.0 T MR group, and there was no significant difference in the scores ( P>0.05), while the visualizations of proximal arteries in the 5.0 T MR group were significantly better than those in the 3.0 T MR group ( P<0.05). Furthermore, small vessel branches such as LA and PA in 5.0 T MR group were visualized better than those in 3.0 T MR group ( P<0.001). Conclusion:TOF-MRA by ultra-high filed 5.0-T provides an optimal choice in visualization of distal large arteries and small vessel branches, which could be useful for the diagnosis on cerebral vascular disease.
ABSTRACT
Syndrome is the basis and essence of the treatment according to syndrome differentiation theory in traditional Chinese medicine(TCM), which comprehensively summarizes the overall reaction state of the organism under the influence of internal and external factors, and has subjective and qualitative characteristics. But the test indexes of modern medicine for diagnosing diseases have the objective and quantitative characteristics. The subjective and qualitative TCM syndromes can be quantitatively treated and combined with the objective and quantitative modern test indexes, this method provides a new idea for the modernization of syndrome differentiation system of TCM. In this paper, the prehypertension with syndrome of upper hyperactivity of liver Yang was taken as an example, a syndrome discriminant model was set up by using the technique of scale and metabonomics, and the feasibility of establishing macro-micro syndrome differentiation system of TCM was also discussed. This paper has important guiding significance for realizing the objectification of diagnosis of TCM syndrome and the standardization of the treatment according to syndrome differentiation theory of TCM.
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The use of echocardiography ventricle segmentation can obtain ventricular volume parameters, and it is helpful to evaluate cardiac function. However, the ultrasound images have the characteristics of high noise and difficulty in segmentation, bringing huge workload to segment the object region manually. Meanwhile, the automatic segmentation technology cannot guarantee the segmentation accuracy. In order to solve this problem, a novel algorithm framework is proposed to segment the ventricle. Firstly, faster region-based convolutional neural network is used to locate the object to get the region of interest. Secondly, -means is used to pre-segment the image; then a mean shift with adaptive bandwidth of kernel function is proposed to segment the region of interest. Finally, the region growing algorithm is used to get the object region. By this framework, ventricle is obtained automatically without manual localization. Experiments prove that this framework can segment the object accurately, and the algorithm of adaptive mean shift is more stable and accurate than the mean shift with fixed bandwidth on quantitative evaluation. These results show that the method in this paper is helpful for automatic segmentation of left ventricle in echocardiography.
ABSTRACT
<p><b>OBJECTIVE</b>To investigate the complex differences between high metastatic and low metastatic cells of the Adenoid cystic Carcinoma.</p><p><b>METHODS</b>Gene expression patterns were examined in high metastatic cell ACC-M strain and low metastatic ACC-2 strain with the method SSH (suppression subtractive hybridization).</p><p><b>RESULTS</b>although extensive similarity was noted between the expression profiles, twelve genes were highly expressed of, in low metastatic cell ACC-2 tester, compared with driver, high metastatic cell ACC-M. These genes were cysteine-rich angiogenic-inducer protein (cyr61), chromosome7 clone RP11-52501, G protein, was family member Iferritin heavy polypeptide I, jumping translocation breakpoint, eukaryotic translation elongation, folate receptor, ribosomal proteins L7a, S21, P0 and other two novel genes-ACC metastasis-associated RNH and ACC metastasis-associated suspected protein. GenBank accession number were AF522024 and AF522025 respectively.</p><p><b>CONCLUSIONS</b>the result suggests that the obtainment of the ability of metastasis is related to the low expression or mutation of these genes. These data provide insight into the extent of expression differences underlying metastasis-related genes that may prove useful as diagnostic or prognostic markers.</p>