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find Keyword "脑胶质瘤" 6 results
  • Clinical Value of Serum Levels of Insulin Growth Factor-1 and Glial Fibrillary Acidic Protein in Glioma Grading and Prognosis Assessment

    目的 通过检测脑胶质瘤患者血清中胰岛素生长因子-1(IGF-1)和胶质纤维酸性蛋白(GFAP)的表达,探讨其与胶质瘤分级及预后评估的关系。 方法 2010年12月-2011年11月,采用双抗体一步夹心法分别测定A、B两组共40例不同级别脑胶质瘤患者术前、术后血清中IGF-1和GFAP浓度。 结果 高级别胶质瘤患者组血清中IGF-1浓度显著高于低级别胶质瘤组(P=0.009 0);血清GFAP浓度显著低于低级别胶质瘤组(P<0.000 1)。经手术治疗后且疗效评价为有效的胶质瘤患者,其血清中IGF-1、GFAP浓度较术前水平显著下降(P<0.001 0)。结论 IGF-1、GFAP是两种较好的脑胶质瘤血清标志物,在其分级及预后评估中具有重要的临床应用价值。

    Release date:2021-06-23 07:35 Export PDF Favorites Scan
  • Longitudinal Research of MRI in Evaluating Removed Intracranial Gliomas

    目的 探讨脑胶质瘤术后不同时期的MRI增强表现,客观分析其术后的手术切除程度。 方法 2009年2月-2012年10月32例脑胶质瘤患者均在术后1 d~2周进行第1次MRI平扫及增强扫描(其中21例在术后3 d内进行检查),术后1~3个月随访复查21例,术后6~12个月随访复查18例,术后1~3年MRI随访16例。分析不同时期的MRI平扫及增强表现,以期发现正确评价手术切除程度的指标。 结果 术后3 d内行MRI增强检查仅有4例出现反应性强化,肿瘤残余有7例,结合其影像学表现可较准确地区分术后反应性强化及肿瘤残余。 结论 胶质瘤术后早期(3 d内)进行MRI增强检查可准确评价肿瘤术后切除程度,便于制订下一步治疗计划。

    Release date:2016-09-07 02:33 Export PDF Favorites Scan
  • 大脑胶质瘤病一例

    Release date:2016-09-07 02:38 Export PDF Favorites Scan
  • Effect of Resvratrol on the Expression of Caspase-3 in U251 Cell

    目的:探讨白藜芦醇对人脑胶质瘤U251细胞的凋亡相关因子caspase-3的作用。方法:应用RT-PCR方法和Western-blot分别检测凋亡因子caspase-3的RNA和蛋白水平的表达。结果:白藜芦醇能明显促进U251细胞的凋亡相关因子caspase-3的表达,存在剂量依赖与时间依赖性。结论:白藜芦醇能通过caspase-3途径诱导U251细胞的凋亡。

    Release date:2016-09-08 10:02 Export PDF Favorites Scan
  • Research on glioma magnetic resonance imaging segmentation based on dual-channel three-dimensional densely connected network

    Focus on the inconsistency of the shape, location and size of brain glioma, a dual-channel 3-dimensional (3D) densely connected network is proposed to automatically segment brain glioma tumor on magnetic resonance images. Our method is based on a 3D convolutional neural network frame, and two convolution kernel sizes are adopted in each channel to extract multi-scale features in different scales of receptive fields. Then we construct two densely connected blocks in each pathway for feature learning and transmission. Finally, the concatenation of two pathway features was sent to classification layer to classify central region voxels to segment brain tumor automatically. We train and test our model on open brain tumor segmentation challenge dataset, and we also compared our results with other models. Experimental results show that our algorithm can segment different tumor lesions more accurately. It has important application value in the clinical diagnosis and treatment of brain tumor diseases.

    Release date:2019-12-17 10:44 Export PDF Favorites Scan
  • Analysis of correlation between epileptic seizure and lipid metabolism and nutritional indicators in patients with glioma

    ObjectiveTo investigate the correlation between epileptic seizure and lipid metabolism and nutritional index in patients with glioma.Methods380 patients with glioma admitted to Linyi People's Hospital Affiliated to Shandong University from January 2017 to December 2019 were selected. According to whether the first symptom is epilepsy or not, patients with glioma were divided into epileptic group (n=72) and control group (n=308). Combined with the basic demographic information, lipid metabolism and nutrition indicators in the medical records, the two groups of patients were analyzed retrospectively.ResultsThe mean age of epileptic group was (39.38±13.40) years, and the sex ratio was 1.88∶1. The mean age of the control group was (46.25±15.97) years, and the sex ratio was 1.20∶1. Chi-square test results showed that there was a statistical correlation between gender, alcohol consumption, history of hypertension and seizures (χ2=0.813, P<0.05). The results of multiple logistic regression analysis showed that there were differences in age, weight, LDL-C and potassium between the epilepsy group and the control group (P<0.05).ConclusionMale, age, weight, LDL-C and abnormal potassium concentration are risk factors for epilepsy in patients with brain tumor, and effective prevention and treatment measures should be taken in time for patients with abnormal lipid metabolism and nutritional indicators.

    Release date:2021-08-30 02:33 Export PDF Favorites Scan
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