RÉSUMÉ
Objective:To construct an automatic recognition system for PD patients with freezing of gait (FOG) based on mobile phone videos by recording the gait videos of PD patients with FOG.Methods:Forty-nine PD patients with FOG, admitted to our hospital from December 2020 to May 2021, were chosen in our study. Their clinical data were collected. The processes of these patients accepted "3-meter-round trip" and "3-meter-round trip through narrow (0.6 m)" were recorded and 87 valid gait videos were extracted. Position signals of key points in the video were extracted, and featured data were extracted after signal preprocessing. From the featured data, action recognition model, straight FOG recognition model and turn FOG recognition model were established respectively, and finally end-to-end FOG recognition model was formed. Leave-one-subject-out (LOSO) method was used to evaluate the performance of the above models.Results:A total of 22 066 non-FOG window samples and 3815 FOG window samples were obtained from 87 valid videos, which constituted the training sample pool of this study. LOSO method showed that the motion recognition model enjoyed 83.27% sensitivity, 91.38% specificity, and 89.28% accuracy; the straight FOG recognition model enjoyed 57.69% sensitivity and 88.12% specificity; the turn FOG recognition model enjoyed 61.54% sensitivity and specificity 98.72%; and the end-to-end FOG recognition model enjoyed 85.71% sensitivity and 75.73% specificity.Conclusion:The automatic recognition system for PD patients with FOG based on mobile phone videos has relatively high sensitivity and specificity, which can realize remote assessment and is convenient for screening and follow-up of PD patients with FOG.
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Objective:To explore the application value of contrast-enhanced ultrasound with SonoLiver software including quantitative analysis and dynamic vascular pattern (DVP) in the intraoperative diagnosis of glioma.Methods:SonoLiver software was used to analyze the contrast-enhanced ultrasound (CEUS) process of 252 cases with different grades of gliomas in General Hospital of Southern Theatre Command of PLA from 2006 to 2016. Among them, 144 were in the low-grade gliomas (LGG) group and 108 were in the high-grade gliomas (HGG) group. The quantitative parameters included maximum intensity (IMAX), time to peak (TTP) and mean transit time (mTT). The images of each CEUS were obtained, and the microvessel density (MVD) of corresponding pathology was compared, so as to analyze their correlations and characteristics.Results:There were significant differences in IMAX, TTP and mTT between the CEUS parameters of gliomas with different grades. IMAX in HGG group was significantly higher than that in LGG group( P<0.001), while TTP was shorter ( P=0.017) and mTT was longer( P=0.030). By correlation analysis between MVD and the CEUS parameters, MVD was positively correlated with IMAX ( r s=0.736, P<0.001) and mTT( r s=0.184, P=0.003), but negatively correlated with TTP( r s=-0.186, P=0.003). Compared with DVP images, the tumor areas of LGG group were mainly warm and black colors with small spots of cool-colored areas, and most of the surrounding areas were more obvious black areas. In HGG group, the tumor areas were mainly warm colors. Most of which were scattered in patchy cold colors areas, and the surrounding black areas were less ( P<0.05). There were significant differences in differentiating gliomas boundary before and after using DVP technique ( P<0.05). After using DVP, the boundary of glioma was clearer and more discernible. The discernibility of HGG group was up to 99%, and that of LGG group reached 97%. Conclusions:SonoLiver software can effectively and quantitatively analyze the CEUS parameters of gliomas with different grades, and its DVP images can directly reflect the contrast perfusion characteristics of gliomas, providing a new way to distinguish the boundary of gliomas and a new imaging method for the differential diagnosis of high and low grades of gliomas.
RÉSUMÉ
Objective To explore the effect of 14-3-3 β gene on biological behavior ofglioma cell line and its mechanism.Methods Conventional cultured SVGp12,U251,U87 and SHG-44 cell lines and U251 cells silenced by 14-3-3[β-small interfering RNA (siRNA) were collected; real time-PCR and Western blotting were used to detect the 14-3-3β gene and protein expressions in these cells.Conventional cultured U251 cells at logarithmic phase were divided into three groups:experimental group (14-3-3β-siRNA transfection),negative control group (siRNA transfection) and blank control group; 3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide assay was used to assess the proliferation of U251 cells,flow cytometry was used to test the cell apoptosis,and cell migration was analyzed by Transwell chamber assay.Results As compared with those in the normal glial cells,14-3-3β gene and protein expression levels in the glioma cells were significantly higher (P＜0.05); as compared with negative control and blank control groups,U251 cells in the experimental group had significantly decreased gene and protein expressions of 14-3-3β,decreased proliferation and migration abilities,significantly increased apoptosis rate and p53 mRNA level (P＜0.05).Conclusion Silence of 14-3-3 β gene decreases U251 cells proliferation and migration through p53 mediated pathway; consequently,a new explanation about how 14-3-3 β regulates glioma cells proliferation and migration can be clarified,and a potential target for glioma treatment can be provided.