Both proliferating cell nuclear antigen and P27 protein are important factors to regulate cell cycle. While, the combination of them can provide exactly objective markers to evaluate prognosis of patients with brain g...Both proliferating cell nuclear antigen and P27 protein are important factors to regulate cell cycle. While, the combination of them can provide exactly objective markers to evaluate prognosis of patients with brain glioma needs to be further studied based on pathological level. OBJECTIVE： To observe the expressions of proliferating cell nuclear antigen and P27 protein in both injured and normal brain glioma tissues and analyze the effect of them on onset and development of brain glioma. DESIGN： Case contrast observation. SETTING： Department of Neurosurgery, the Second Affiliated Hospital of Xi＇an Jiaotong University. PARTICIPANTS： A total of 63 patients with brain glioma were selected from Department of Neurosurgery, the Second Affiliated Hospital of Xi＇an Jiaotong University from July 1996 to June 2000. There were 38 males and 25 females and their ages ranged from 23 to 71 years. Based on pathological classification and grading standards of brain glioma, patients were divided into grade I - II （n=30） and grade III- IV （n = 33）. All cases received one operation but no radiotherapy and chemiotherapy before operation. Sample tissues were collected from tumor parenchyma. Non-neoplastic brain tissues were collected from another 12 non-tumor subjects who received craniocerebral trauma infra-decompression and regarded as the control group. There were l0 males and 2 females and their ages ranged from 16 to 54 years. The experiment had got confirmed consent from local ethic committee and the collection was provided confirmed consent from patients and their relatives. All samples were restained with HE staining so as to diagnose as the brain glioma. While, all patients with brain glioma received radiotherapy after operation and their survival periods were followed up. METHODS： Primary lesion wax of brain glioma was cut into serial sections and stained with S-P immunohistochemical staining. Brown substance which was observed in tumor nucleus was regarded as the positive expressions of both proliferating cell nuclear antigen and P27 protein. Automatic imaging analytic system was used to quantitatively analyze staining results of tumor. MAIN OUTCOME MEASURES： To compare the expressions of proliferating cell nuclear antigen and P27 protein in brain glioma tissues and non-tumor brain tissues and investigate the effect of various sexes, ages, survival periods and severities on the expressions of them in brain tissues. RESULTS： There was no significant difference of sexes and ages in the expressions of proliferating cell nuclear antigen and P27 protein （P 〉 0.05）; however, the expressions of proliferating cell nuclear antigen and P27 protein were milder in non-tumor brain tissues than those in the brain glioma tissues （P 〈 0.05）. Expression of proliferating cell nuclear antigen in brain tissue of grade III- IV severity was stronger than that of grade I - II severity, and the expression in ≥ 5-year survival periods were also stronger than that in 〈 5-year survival periods （P 〈 0.05）. In addition, expression of P27 protein in brain tissue of grade III- IV severity was stronger than that of grade I - II severity, and the expression in ≥ 5-year survival periods were also stronger than that in 〈 5-year survival periods （P 〈 0.05）. CONCLUSION： Abnormal expressions of proliferating cell nuclear antigen and P27 protein in human brain glioma are closely related to onset, development and prognosis of tumor.展开更多
Because functional magnetic resonance imaging can be used for dynamic observation of functional cortical changes after brain injuries, we followed up functional magnetic resonance imaging manifestations of a language-...Because functional magnetic resonance imaging can be used for dynamic observation of functional cortical changes after brain injuries, we followed up functional magnetic resonance imaging manifestations of a language-related brain network in a low-grade glioma patient. Disease progression and therapy during a 3-year period were followed up at different time points： before and after reoperation, after radiation therapy, and 1 year after irradiation. During the whole 3-year follow-up period, the patient exhibited no neurological deficits while functional magnetic resonance imaging revealed different topologies of the language-related brain network. During disease progression and after irradiation, the language-related brain network was extended or completely transferred to the nondominant （right） hemisphere. In addition, after reoperation and 1 year after irradiation, language areas were primarily found in the language dominant （left） hemisphere. Our results suggest a high level of adaptability of the language-related cortical network of the bilateral hemispheres in this low-grade glioma patient.展开更多
目的本研究旨在结合传统MRI序列及增强检查,提取多模态高通量影像组学特征并联合语义特征,使用不同的机器学习分类器构建不同的模型并绘制列线图来鉴别高级别胶质瘤(high-grade glioma,HGG)和单发性脑转移瘤(solitary brain metastasis,...目的本研究旨在结合传统MRI序列及增强检查,提取多模态高通量影像组学特征并联合语义特征,使用不同的机器学习分类器构建不同的模型并绘制列线图来鉴别高级别胶质瘤(high-grade glioma,HGG)和单发性脑转移瘤(solitary brain metastasis,SBM)。材料与方法本研究对101名患者的多参数MR图像进行了回顾性分析,由两位资深医师标定肿瘤感兴趣区,然后对每个序列分别提取影像组学特征后进行组合,共提取428组影像组学特征。为消除人为标定差异,进行组内相关系数一致性检验,并运用最大相关最小冗余算法选取最具相关性的特征,然后进一步通过最小绝对收缩和选择算子算法筛除冗余特征。本研究采用支持向量机、逻辑回归、随机森林及K近邻四种算法建立分类模型。结合放射科医生评估的七项语义特征,通过卡方检验和多因素分析去除差异无统计学意义的语义特征。然后结合组学特征建立综合模型并绘制列线图。最终,评价各模型的诊断能力,以确定最优分类器。结果HGG及SBM患者建立的影像组学模型中LR的受试者工作特征曲线下面积(area under the curve,AUC)值最高,训练集与测试集分别为0.90和0.90。语义特征建立的模型中随机森林模型性能最好,训练集和测试集AUC分别为0.82和0.87。语义特征联合影像组学评分后采用逻辑回归建立的模型性能最好,训练集和测试集AUC分别为0.91和0.92。结论本研究使用影像组学机器学习分类器并联合其他图像语义特征绘制列线图对HGG及SBM进行鉴别,这是一种非侵入性方法,具有较好的准确性,为临床决策和实践提供了较大的帮助。展开更多
文摘Both proliferating cell nuclear antigen and P27 protein are important factors to regulate cell cycle. While, the combination of them can provide exactly objective markers to evaluate prognosis of patients with brain glioma needs to be further studied based on pathological level. OBJECTIVE： To observe the expressions of proliferating cell nuclear antigen and P27 protein in both injured and normal brain glioma tissues and analyze the effect of them on onset and development of brain glioma. DESIGN： Case contrast observation. SETTING： Department of Neurosurgery, the Second Affiliated Hospital of Xi＇an Jiaotong University. PARTICIPANTS： A total of 63 patients with brain glioma were selected from Department of Neurosurgery, the Second Affiliated Hospital of Xi＇an Jiaotong University from July 1996 to June 2000. There were 38 males and 25 females and their ages ranged from 23 to 71 years. Based on pathological classification and grading standards of brain glioma, patients were divided into grade I - II （n=30） and grade III- IV （n = 33）. All cases received one operation but no radiotherapy and chemiotherapy before operation. Sample tissues were collected from tumor parenchyma. Non-neoplastic brain tissues were collected from another 12 non-tumor subjects who received craniocerebral trauma infra-decompression and regarded as the control group. There were l0 males and 2 females and their ages ranged from 16 to 54 years. The experiment had got confirmed consent from local ethic committee and the collection was provided confirmed consent from patients and their relatives. All samples were restained with HE staining so as to diagnose as the brain glioma. While, all patients with brain glioma received radiotherapy after operation and their survival periods were followed up. METHODS： Primary lesion wax of brain glioma was cut into serial sections and stained with S-P immunohistochemical staining. Brown substance which was observed in tumor nucleus was regarded as the positive expressions of both proliferating cell nuclear antigen and P27 protein. Automatic imaging analytic system was used to quantitatively analyze staining results of tumor. MAIN OUTCOME MEASURES： To compare the expressions of proliferating cell nuclear antigen and P27 protein in brain glioma tissues and non-tumor brain tissues and investigate the effect of various sexes, ages, survival periods and severities on the expressions of them in brain tissues. RESULTS： There was no significant difference of sexes and ages in the expressions of proliferating cell nuclear antigen and P27 protein （P 〉 0.05）; however, the expressions of proliferating cell nuclear antigen and P27 protein were milder in non-tumor brain tissues than those in the brain glioma tissues （P 〈 0.05）. Expression of proliferating cell nuclear antigen in brain tissue of grade III- IV severity was stronger than that of grade I - II severity, and the expression in ≥ 5-year survival periods were also stronger than that in 〈 5-year survival periods （P 〈 0.05）. In addition, expression of P27 protein in brain tissue of grade III- IV severity was stronger than that of grade I - II severity, and the expression in ≥ 5-year survival periods were also stronger than that in 〈 5-year survival periods （P 〈 0.05）. CONCLUSION： Abnormal expressions of proliferating cell nuclear antigen and P27 protein in human brain glioma are closely related to onset, development and prognosis of tumor.
文摘Because functional magnetic resonance imaging can be used for dynamic observation of functional cortical changes after brain injuries, we followed up functional magnetic resonance imaging manifestations of a language-related brain network in a low-grade glioma patient. Disease progression and therapy during a 3-year period were followed up at different time points： before and after reoperation, after radiation therapy, and 1 year after irradiation. During the whole 3-year follow-up period, the patient exhibited no neurological deficits while functional magnetic resonance imaging revealed different topologies of the language-related brain network. During disease progression and after irradiation, the language-related brain network was extended or completely transferred to the nondominant （right） hemisphere. In addition, after reoperation and 1 year after irradiation, language areas were primarily found in the language dominant （left） hemisphere. Our results suggest a high level of adaptability of the language-related cortical network of the bilateral hemispheres in this low-grade glioma patient.
文摘目的本研究旨在结合传统MRI序列及增强检查,提取多模态高通量影像组学特征并联合语义特征,使用不同的机器学习分类器构建不同的模型并绘制列线图来鉴别高级别胶质瘤(high-grade glioma,HGG)和单发性脑转移瘤(solitary brain metastasis,SBM)。材料与方法本研究对101名患者的多参数MR图像进行了回顾性分析,由两位资深医师标定肿瘤感兴趣区,然后对每个序列分别提取影像组学特征后进行组合,共提取428组影像组学特征。为消除人为标定差异,进行组内相关系数一致性检验,并运用最大相关最小冗余算法选取最具相关性的特征,然后进一步通过最小绝对收缩和选择算子算法筛除冗余特征。本研究采用支持向量机、逻辑回归、随机森林及K近邻四种算法建立分类模型。结合放射科医生评估的七项语义特征,通过卡方检验和多因素分析去除差异无统计学意义的语义特征。然后结合组学特征建立综合模型并绘制列线图。最终,评价各模型的诊断能力,以确定最优分类器。结果HGG及SBM患者建立的影像组学模型中LR的受试者工作特征曲线下面积(area under the curve,AUC)值最高,训练集与测试集分别为0.90和0.90。语义特征建立的模型中随机森林模型性能最好,训练集和测试集AUC分别为0.82和0.87。语义特征联合影像组学评分后采用逻辑回归建立的模型性能最好,训练集和测试集AUC分别为0.91和0.92。结论本研究使用影像组学机器学习分类器并联合其他图像语义特征绘制列线图对HGG及SBM进行鉴别,这是一种非侵入性方法,具有较好的准确性,为临床决策和实践提供了较大的帮助。
