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Objective:To explore brain network properties and their relationship with cognitive function in children with spastic cerebral palsy (SCP) using diffusion tensor imaging (DTI) based graph theory analysis.Methods:The study was a cross-sectional study. Clinical and imaging data of 21 children with SCP (SCP group) and 32 healthy children (control group) who underwent cranial MRI at the Affiliated Hospital of Zunyi Medical University from August 2020 to April 2022 were analyzed retrospectively. 3D-T 1WI, DTI and Wechsler Intelligence Scale were assessed for all subjects. The Wechsler Intelligence Scale included the verbal comprehension index (VCI), the processing speed index (PSI), the work memory index (WMI), and the perceptual reasoning index (PRI), etc., and ultimately the full scale intelligence quotient (FSIQ) scores were obtained based on the indices of each subscale. Independent samples t-test was used to analyze the differences in the small world attributes [small-world index (σ), normalized shortest path length (λ), normalized clustering coefficients (γ)], global attributes [global efficiency (Eglob), local efficiency (Eloc), characteristic path length (Lp), clustering efficiency (Cp)] and node attributes [degree centrality(DC), nodal efficiency (Ne), betweeness centrality (Bc), nodal shortest path length (NLp), nodal clustering efficiency, nodal local efficiency] between two groups of children′s brain networks. Brain network indicators with statistically significant differences between the 2 groups were correlated with Wechsler Intelligence Scale scores using Spearman. Results:The FSIQ scores on the Wechsler Intelligence Scale and the VCI, WMI, PSI, and PRI were lower in the SCP group than in the control group, and the differences were all statistically significant (all P<0.05). Both groups of children′s brain networks had small world properties. Compared with the control group, Eglob decreased, Lp and λ increased in the SCP group (all P<0.05). Compared with the control group, DC and Ne in multiple brain regions decreased, NLp increased in the SCP group (all P<0.05, FDR corrected). Correlation analysis showed that DC in the right parsopercularis was positively correlated with FSIQ, VCI, WMI and PRI( r=0.53, 0.47, 0.47, 0.60, P=0.019, 0.045, 0.044, 0.020, respectively); NLp in the right parsopercularis was negatively correlated with PRI( r=-0.56, P=0.030); Ne in left paracentral, the right parsopercularis, right precentral, right postcentra were positively correlated with PRI( r=0.62, 0.56, 0.53, 0.54, P=0.015, 0.031, 0.044, 0.039, respectively); Ne in the right precentral was positively correlated with WMI ( r=0.48, P=0.039) in the SCP group. Conclusions:There are changes in the topological attributes of global and multiple regional brain networks in SCP. The changes in the attributes of nodes in the right parsopercularis, right precentral, right postcentral, and left paracentral could reflect cognitive dysfunction in children with SCP.
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Objective:To evaluate the value of synthetic MRI combined with DWI in the diagnosis of benign and malignant breast lesions.Methods:The data of 184 consecutive patients with suspected breast lesions in Yunnan Cancer Hospital from July to September 2019 were prospectively analyzed. All patients were randomly assigned to training group ( n=110) and validation group ( n=74), and underwent conventional MRI and synthetic MRI respectively before and after contrast injection. At the maximum slice of the lesion, the ROI was drawn along the edge and recorded as "tumor". In the solid area with the most obvious tumor enhancement, the second ROI was drawn and recorded as "local". At the same time, ADC values (ADC local and ADC tumor) and relaxation time values (T local and T tumor) were measured. T and T + represented the relaxation time value of the ROI pre-and post-contrast scanning. ΔT% represented the relative change rate in T value between pre-and post-contrast scanning.The rank sum test was used to test the quantitative parameters of benign and malignant breast lesions in the training group and the validation group, and the variables with P<0.05 were included in the binary logistic regression analysis to screen the independent variables and establish the prediction model. The area under ROC curve was used to evaluate the discrimination of parameters and models. The clinical applicability of model was analyzed by decision curve analysis (DCA). Results:In the training group, univariate analysis showed that there were significant differences in T 1tumor, T 1+tumor, ΔT 1% tumor, T 2local, T 2+local, T 2tumor and T 2+tumor, ADC local, ADC tumor between benign and malignant breast lesions ( P<0.05). Multivariate logistic regression analysis showed that T 1+tumor, ΔT 1% tumor, T 2tumor, ADC local, ADC tumor were independent variables in the diagnosis of breast cancer. The relaxation time model (model A: T 1+tumor, ΔT 1% tumor, T 2tumor) and ADC model (model B: ADC local, ADC tumor) established by combining the above variables had the same diagnostic efficiency (AUC=0.905, 0.914, Z=-1.874, P=0.062), and the multi-parameter combination model (model C: T 1+tumor, ΔT 1% tumor, T 2tumor, ADC local, ADC tumor) had the highest diagnostic efficiency (AUC=0.965). DCA analysis showed that when the threshold probability ranges between 21%-99% (training cohort) and 15%-99% (validation cohort), the net benefit of model C was better than model A and B. Conclusion:The multi-parameter combined prediction model established based on the relaxation time value and ADC can identify breast cancer efficiently and can be used as an auxiliary diagnostic tool.
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Objective To observed the changes of plasma levels of NT‐proBNP and hs‐CRP in patients with different types of coronary heart disease and investigate its clinical value .Methods 156 patients with CHD diagnosed by coronary computed tomo‐graphy angiography(CTA) were enrolled in this study ,including 35 cases of acute myocardial infarction(AMI) ,63 cases of unstable angina(UAP) and 58 cases of stable angina(SAP) .And 61 persons without CHD were selected as the control(CTR) .Plasma levels of NT‐proBNP and hs‐CRP were detected by the methods of immmunofluorescent antibody technic reader and turbidimetry ,respec‐tively .Results Plasma NT‐proBNP levels of AMI ,UAP ,SAP and CTR group were (1 903 .99 ± 2 055 .21) ,(897 .27 ± 947 .34) , (677 .98 ± 718 .12) ,(129 .39 ± 126 .49)ng/L ,respect ively .Plasma hs‐CRP levels were (28 .47 ± 20 .49) ,(12 .68 ± 8 .64) ,(10 .56 ± 7 .17) ,(2 .82 ± 1 .23)mg/L ,respectively .Plasma levels of NT‐proBNP and hs‐CRP in AMI group were obviously higher than those in UAP ,SAP and CTR group(P0 .05) . Plasma BNP levels were positively correlated with plasma hs‐CRP .Conclusion Plasma levels of NT‐proBNP and hs‐CRP are asso‐ciated with different clinical phenotyes of CHD .Those markers may be helpful to the risk stratification and prognosis of CHD .
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<p><b>OBJECTIVE</b>To study the effects of Cynomorium songaricum polysaccharide (CSP) on telomere length in blood and brain tissues of aged mice in order to provide some evidence for CSP's development and applying in the clinical uses.</p><p><b>METHOD</b>Kunming mice were intraperitoneal injected D-galactose (500 mg x kg(-1) x d(-1)) to make the aging models, and different dosages of CSP (20, 40, 80 mg x kg(-1)) were given by gavage for 56 days. The average length of telomere was determined by real-time fluorescence quantitative PCR.</p><p><b>RESULT</b>The relative T/S ratio of the group high and middle dosages of CSP in blood were 1.64 +/- 0.36 and 1.33 +/0.28, respectively, and higher than that of the group of senescence 1.01 +/- 0.13 (P < 0.01). Values of the group of high, middle, and low dosages of CSP in brain tissues were 3.34 +/- 0.58, 2.30 +/- 0. 75 and 1.55 +/- 0.58, respectively, and significantly higher than that of the group of senescence 1.04 +/- 0.33 (P < 0.01).</p><p><b>CONCLUSION</b>CSP can exert the anti-aging effects by increase telomere length f senescence mice.</p>