Introduction: Meningiomas are the most common type of extra-axial neoplasm. Peritumoral brain edema (PTBE) can be seen around meningiomas while it may be absent in others. Despite that Ki67 proliferative index has bee...Introduction: Meningiomas are the most common type of extra-axial neoplasm. Peritumoral brain edema (PTBE) can be seen around meningiomas while it may be absent in others. Despite that Ki67 proliferative index has been previously correlated with meningioma grades, no definite relationship has been established in relation to PTBE in meningioma patients. Objective: Correlate the peritumoral brain edema with the Ki67 proliferative index of meningiomas. Patients & Methods: Aclinical prospective study was conducted on 56 patients (47 women, 9 men;mean age 50.89 ± 12.55 years) diagnosed with meningiomas. All patients were evaluated regarding the presence of brain edema surrounding the lesion in pre-operative neuroimaging using T2W and FLAIR MR images. Immunohistochemical staining of Ki67 index (representing proliferative activity) was done. Correlation between presence of PTBE and Ki67 index values was evaluated. Results: PTBE was found in nearly half of the patients (48.2%), while the remaining (51.8%) of patients did not exhibit PTBE in their pre-operative neuroimaging. The mean value of Ki67 index in meningioma patients with PTBE was 4.83% compared to a value of 1.83% in patients without PTBE, P value = 0.014. Conclusion: High Ki67 indices are evident in meningiomas with surrounding peritumoral brain edema (PTBE).展开更多
Objective: To determine whether VEGF plays a role in the development of peritumoral brain edema. Methods 50 meningioma patients and their VEGF expression were studied. We took a monoclonal antibody from mouse to VEGF ...Objective: To determine whether VEGF plays a role in the development of peritumoral brain edema. Methods 50 meningioma patients and their VEGF expression were studied. We took a monoclonal antibody from mouse to VEGF to stain the tumor cells, the vascular endothelial cells and the interstitial cells. The severity of brain edema was evaluated according to CT or MR scans by the following equation: edema index= V tumor +edema /Vtumor. The relationship between VEGF expression and edema index was analyzed statistically. Results VEGF was expressed in meningioma tumor cells, which is usually concentrated at the peripheral sites of the tumor. There was a positive linear correlation between the expression and the brain edema index. Conclusion VEGF may play a role in the development of peritumoral brain edema in meningioma patient.展开更多
BACKGROUND Recently,vessels encapsulating tumor clusters(VETC)was considered as a distinct pattern of tumor vascularization which can primarily facilitate the entry of the whole tumor cluster into the bloodstream in a...BACKGROUND Recently,vessels encapsulating tumor clusters(VETC)was considered as a distinct pattern of tumor vascularization which can primarily facilitate the entry of the whole tumor cluster into the bloodstream in an invasion independent manner,and was regarded as an independent risk factor for poor prognosis in hepatocellular carcinoma(HCC).AIM To develop and validate a preoperative nomogram using contrast-enhanced computed tomography(CECT)to predict the presence of VETC+in HCC.METHODS We retrospectively evaluated 190 patients with pathologically confirmed HCC who underwent CECT scanning and immunochemical staining for cluster of differentiation 34 at two medical centers.Radiomics analysis was conducted on intratumoral and peritumoral regions in the portal vein phase.Radiomics features,essential for identifying VETC+HCC,were extracted and utilized to develop a radiomics model using machine learning algorithms in the training set.The model’s performance was validated on two separate test sets.Receiver operating characteristic(ROC)analysis was employed to compare the identified performance of three models in predicting the VETC status of HCC on both training and test sets.The most predictive model was then used to constructed a radiomics nomogram that integrated the independent clinical-radiological features.ROC and decision curve analysis were used to assess the performance characteristics of the clinical-radiological features,the radiomics features and the radiomics nomogram.RESULTS The study included 190 individuals from two independent centers,with the majority being male(81%)and a median age of 57 years(interquartile range:51-66).The area under the curve(AUC)for the combined radiomics features selected from the intratumoral and peritumoral areas were 0.825,0.788,and 0.680 in the training set and the two test sets.A total of 13 features were selected to construct the Rad-score.The nomogram,combining clinicalradiological and combined radiomics features could accurately predict VETC+in all three sets,with AUC values of 0.859,0.848 and 0.757.Decision curve analysis revealed that the radiomics nomogram was more clinically useful than both the clinical-radiological feature and the combined radiomics models.CONCLUSION This study demonstrates the potential utility of a CECT-based radiomics nomogram,incorporating clinicalradiological features and combined radiomics features,in the identification of VETC+HCC.展开更多
Metabolic reprogramming is a key feature driving oncogenesis in cancers. Recent studies have revealed that protein metabolism is largely altered in gliomas facilitating its malignant growth. Urea is the end product of...Metabolic reprogramming is a key feature driving oncogenesis in cancers. Recent studies have revealed that protein metabolism is largely altered in gliomas facilitating its malignant growth. Urea is the end product of nitrogen metabolism which is mainly produced by arginase. The interdependence of arginase and other biochemical mechanisms triggered scientific research interest. This research aimed to investigate the relationships between the urea as the main parameter of protein metabolism and glioma progression. It was also the most pronounced relationship between urea and the level of the nuclear protein Ki-67 as a marker of proliferative activity and O-6-methylguanine-DNA methyltransferase (MGMT), which performs DNA repair. Postoperative material from 20 patients with gliomas of different grades of anaplasia was analyzed.展开更多
目的探讨MRI评价腺体-脂肪界面乳腺癌对瘤周脂肪侵犯及保乳手术方式的价值。方法选取经病理确诊的253例浸润性乳腺癌(invasive breast carcinoma,IBC)患者,术前MRI检查肿瘤位于腺体-脂肪界面;分析皮下瘤周脂肪消退/萎缩、缺失,瘤周脂肪...目的探讨MRI评价腺体-脂肪界面乳腺癌对瘤周脂肪侵犯及保乳手术方式的价值。方法选取经病理确诊的253例浸润性乳腺癌(invasive breast carcinoma,IBC)患者,术前MRI检查肿瘤位于腺体-脂肪界面;分析皮下瘤周脂肪消退/萎缩、缺失,瘤周脂肪纤维化、水肿的MRI影像,评价瘤周脂肪侵犯与保乳术式选择的关系。结果33.2%的病例肿瘤直接侵犯皮肤结构,与皮肤间脂肪组织缺失;22.1%的病例轻度脂肪侵犯,44.7%的病例重度脂肪侵犯。74.3%的病例瘤周脂肪内观察到纤维化影像,85例MRI显示与肿瘤垂直索条影,41例显示沿肿瘤轮廓弧形索条影,62例两者均有。39.9%的病例显示重度、17.4%的病例显示轻度瘤周脂肪内水肿。71例腺体-脂肪界面乳腺癌中68例保乳成功,82.4%的病例为轻度脂肪侵犯,17.6%的病例为重度脂肪侵犯,27.9%的病例显示瘤周脂肪纤维化,38.2%的病例瘤周脂肪水肿。保乳手术方式主要是肿物切除及区段切除术。结论MRI是评价腺体-脂肪界面乳腺癌对瘤周脂肪侵犯的有效方法,对指导保乳手术有价值。展开更多
目的探讨单独及联合应用酰胺质子转移(amide proton transfer,APT)成像和扩散峰度成像(diffusion kurtosis imaging,DKI)对乳腺良恶性病变的鉴别诊断价值,并分析瘤周参数与乳腺癌病理因素的相关性。材料与方法回顾性分析56例乳腺病变患...目的探讨单独及联合应用酰胺质子转移(amide proton transfer,APT)成像和扩散峰度成像(diffusion kurtosis imaging,DKI)对乳腺良恶性病变的鉴别诊断价值,并分析瘤周参数与乳腺癌病理因素的相关性。材料与方法回顾性分析56例乳腺病变患者病例资料,术前均行扩散加权成像(diffusion-weighted imaging,DWI)、APT、DKI及动态对比增强(dynamic contrast-enhanced,DCE)MRI,测量瘤体、瘤周及对侧正常腺体的非对称磁化转移率(magnetization transfer ratio asymmetry,MTRasym)、平均扩散峰度(mean kurtosis,MK)、平均扩散率(mean diffusivity,MD),并记录病灶的表观扩散系数(apparent diffusion coefficient,ADC)值及乳腺影像报告和数据系统(Breast Imaging Reporting and Data System,BI-RADS)分类。对比分析良恶性组间各参数的差异,采用logistic回归分析建立联合诊断模型,采用受试者工作特征(receive operating characteristic,ROC)曲线分析不同参数及联合模型对乳腺良恶性病变的诊断效能。分别计算瘤周与瘤体MTRasymp/t、MKp/t、MDp/t及与对侧正常腺体MTRasymp/n、MKp/n、MDp/n的比值,并比较其在不同病理因素组间的差异性。结果恶性组MK值高于良性组,ADC、MD、MTRasym值低于良性组,差异均有统计学意义(P均<0.05)。ADC、MK、MD、MTRasym、DCE、DCE+ADC、DCE+ADC+DKI+APT诊断乳腺良恶性病变的曲线下面积(area under the curve,AUC)分别为0.819、0.914、0.895、0.752、0.744、0.886、0.985,MK、MD的AUC显著高于DCE,MK的AUC高于MTRasym,DCE+ADC+DKI+APT联合模型的AUC显著高于其他任何参数(P均<0.05)。瘤周参数分析结果显示:MKp/t与HER-2状态呈弱负相关(r=-0.365,P=0.043);MKp/t与Ki-67表达呈中度负相关(r=-0.404,P=0.024),MDp/t与Ki-67呈中度正相关(r=0.420,P=0.019);MKp/n与淋巴血管侵犯(lymphovascular invasion,LVI)呈弱正相关(r=0.382,P=0.034),MDp/n与LVI呈弱负相关(r=-0.373,P=0.039);MKp/n与组织学分级呈弱正相关(r=0.376,P=0.043)。结论APT和DKI技术在鉴别乳腺良恶性病变时均表现出较高的诊断效能,且多参数联合应用的诊断效能显著提高。DKI参数可提示不同病理因素的乳腺癌对瘤周区域的影响。因此,APT及DKI技术可为乳腺癌的诊断、肿瘤侵袭性的评估以及治疗方案的制订提供帮助。展开更多
文摘Introduction: Meningiomas are the most common type of extra-axial neoplasm. Peritumoral brain edema (PTBE) can be seen around meningiomas while it may be absent in others. Despite that Ki67 proliferative index has been previously correlated with meningioma grades, no definite relationship has been established in relation to PTBE in meningioma patients. Objective: Correlate the peritumoral brain edema with the Ki67 proliferative index of meningiomas. Patients & Methods: Aclinical prospective study was conducted on 56 patients (47 women, 9 men;mean age 50.89 ± 12.55 years) diagnosed with meningiomas. All patients were evaluated regarding the presence of brain edema surrounding the lesion in pre-operative neuroimaging using T2W and FLAIR MR images. Immunohistochemical staining of Ki67 index (representing proliferative activity) was done. Correlation between presence of PTBE and Ki67 index values was evaluated. Results: PTBE was found in nearly half of the patients (48.2%), while the remaining (51.8%) of patients did not exhibit PTBE in their pre-operative neuroimaging. The mean value of Ki67 index in meningioma patients with PTBE was 4.83% compared to a value of 1.83% in patients without PTBE, P value = 0.014. Conclusion: High Ki67 indices are evident in meningiomas with surrounding peritumoral brain edema (PTBE).
文摘Objective: To determine whether VEGF plays a role in the development of peritumoral brain edema. Methods 50 meningioma patients and their VEGF expression were studied. We took a monoclonal antibody from mouse to VEGF to stain the tumor cells, the vascular endothelial cells and the interstitial cells. The severity of brain edema was evaluated according to CT or MR scans by the following equation: edema index= V tumor +edema /Vtumor. The relationship between VEGF expression and edema index was analyzed statistically. Results VEGF was expressed in meningioma tumor cells, which is usually concentrated at the peripheral sites of the tumor. There was a positive linear correlation between the expression and the brain edema index. Conclusion VEGF may play a role in the development of peritumoral brain edema in meningioma patient.
基金The study was reviewed and approved by the Second Hospital of Shandong University Institutional Review Board,IRB No.KYLL-2023LW044.
文摘BACKGROUND Recently,vessels encapsulating tumor clusters(VETC)was considered as a distinct pattern of tumor vascularization which can primarily facilitate the entry of the whole tumor cluster into the bloodstream in an invasion independent manner,and was regarded as an independent risk factor for poor prognosis in hepatocellular carcinoma(HCC).AIM To develop and validate a preoperative nomogram using contrast-enhanced computed tomography(CECT)to predict the presence of VETC+in HCC.METHODS We retrospectively evaluated 190 patients with pathologically confirmed HCC who underwent CECT scanning and immunochemical staining for cluster of differentiation 34 at two medical centers.Radiomics analysis was conducted on intratumoral and peritumoral regions in the portal vein phase.Radiomics features,essential for identifying VETC+HCC,were extracted and utilized to develop a radiomics model using machine learning algorithms in the training set.The model’s performance was validated on two separate test sets.Receiver operating characteristic(ROC)analysis was employed to compare the identified performance of three models in predicting the VETC status of HCC on both training and test sets.The most predictive model was then used to constructed a radiomics nomogram that integrated the independent clinical-radiological features.ROC and decision curve analysis were used to assess the performance characteristics of the clinical-radiological features,the radiomics features and the radiomics nomogram.RESULTS The study included 190 individuals from two independent centers,with the majority being male(81%)and a median age of 57 years(interquartile range:51-66).The area under the curve(AUC)for the combined radiomics features selected from the intratumoral and peritumoral areas were 0.825,0.788,and 0.680 in the training set and the two test sets.A total of 13 features were selected to construct the Rad-score.The nomogram,combining clinicalradiological and combined radiomics features could accurately predict VETC+in all three sets,with AUC values of 0.859,0.848 and 0.757.Decision curve analysis revealed that the radiomics nomogram was more clinically useful than both the clinical-radiological feature and the combined radiomics models.CONCLUSION This study demonstrates the potential utility of a CECT-based radiomics nomogram,incorporating clinicalradiological features and combined radiomics features,in the identification of VETC+HCC.
文摘Metabolic reprogramming is a key feature driving oncogenesis in cancers. Recent studies have revealed that protein metabolism is largely altered in gliomas facilitating its malignant growth. Urea is the end product of nitrogen metabolism which is mainly produced by arginase. The interdependence of arginase and other biochemical mechanisms triggered scientific research interest. This research aimed to investigate the relationships between the urea as the main parameter of protein metabolism and glioma progression. It was also the most pronounced relationship between urea and the level of the nuclear protein Ki-67 as a marker of proliferative activity and O-6-methylguanine-DNA methyltransferase (MGMT), which performs DNA repair. Postoperative material from 20 patients with gliomas of different grades of anaplasia was analyzed.
文摘目的探讨MRI评价腺体-脂肪界面乳腺癌对瘤周脂肪侵犯及保乳手术方式的价值。方法选取经病理确诊的253例浸润性乳腺癌(invasive breast carcinoma,IBC)患者,术前MRI检查肿瘤位于腺体-脂肪界面;分析皮下瘤周脂肪消退/萎缩、缺失,瘤周脂肪纤维化、水肿的MRI影像,评价瘤周脂肪侵犯与保乳术式选择的关系。结果33.2%的病例肿瘤直接侵犯皮肤结构,与皮肤间脂肪组织缺失;22.1%的病例轻度脂肪侵犯,44.7%的病例重度脂肪侵犯。74.3%的病例瘤周脂肪内观察到纤维化影像,85例MRI显示与肿瘤垂直索条影,41例显示沿肿瘤轮廓弧形索条影,62例两者均有。39.9%的病例显示重度、17.4%的病例显示轻度瘤周脂肪内水肿。71例腺体-脂肪界面乳腺癌中68例保乳成功,82.4%的病例为轻度脂肪侵犯,17.6%的病例为重度脂肪侵犯,27.9%的病例显示瘤周脂肪纤维化,38.2%的病例瘤周脂肪水肿。保乳手术方式主要是肿物切除及区段切除术。结论MRI是评价腺体-脂肪界面乳腺癌对瘤周脂肪侵犯的有效方法,对指导保乳手术有价值。
文摘目的探讨单独及联合应用酰胺质子转移(amide proton transfer,APT)成像和扩散峰度成像(diffusion kurtosis imaging,DKI)对乳腺良恶性病变的鉴别诊断价值,并分析瘤周参数与乳腺癌病理因素的相关性。材料与方法回顾性分析56例乳腺病变患者病例资料,术前均行扩散加权成像(diffusion-weighted imaging,DWI)、APT、DKI及动态对比增强(dynamic contrast-enhanced,DCE)MRI,测量瘤体、瘤周及对侧正常腺体的非对称磁化转移率(magnetization transfer ratio asymmetry,MTRasym)、平均扩散峰度(mean kurtosis,MK)、平均扩散率(mean diffusivity,MD),并记录病灶的表观扩散系数(apparent diffusion coefficient,ADC)值及乳腺影像报告和数据系统(Breast Imaging Reporting and Data System,BI-RADS)分类。对比分析良恶性组间各参数的差异,采用logistic回归分析建立联合诊断模型,采用受试者工作特征(receive operating characteristic,ROC)曲线分析不同参数及联合模型对乳腺良恶性病变的诊断效能。分别计算瘤周与瘤体MTRasymp/t、MKp/t、MDp/t及与对侧正常腺体MTRasymp/n、MKp/n、MDp/n的比值,并比较其在不同病理因素组间的差异性。结果恶性组MK值高于良性组,ADC、MD、MTRasym值低于良性组,差异均有统计学意义(P均<0.05)。ADC、MK、MD、MTRasym、DCE、DCE+ADC、DCE+ADC+DKI+APT诊断乳腺良恶性病变的曲线下面积(area under the curve,AUC)分别为0.819、0.914、0.895、0.752、0.744、0.886、0.985,MK、MD的AUC显著高于DCE,MK的AUC高于MTRasym,DCE+ADC+DKI+APT联合模型的AUC显著高于其他任何参数(P均<0.05)。瘤周参数分析结果显示:MKp/t与HER-2状态呈弱负相关(r=-0.365,P=0.043);MKp/t与Ki-67表达呈中度负相关(r=-0.404,P=0.024),MDp/t与Ki-67呈中度正相关(r=0.420,P=0.019);MKp/n与淋巴血管侵犯(lymphovascular invasion,LVI)呈弱正相关(r=0.382,P=0.034),MDp/n与LVI呈弱负相关(r=-0.373,P=0.039);MKp/n与组织学分级呈弱正相关(r=0.376,P=0.043)。结论APT和DKI技术在鉴别乳腺良恶性病变时均表现出较高的诊断效能,且多参数联合应用的诊断效能显著提高。DKI参数可提示不同病理因素的乳腺癌对瘤周区域的影响。因此,APT及DKI技术可为乳腺癌的诊断、肿瘤侵袭性的评估以及治疗方案的制订提供帮助。
