肿瘤研究与临床
腫瘤研究與臨床
종류연구여림상
CANCER RESEARCH AND CLINIC
2014年
2期
106-109,113
,共5页
张翠仙%赵晓军%安艳玲%陈培翠%张耀%罗天娥%刘桂芬
張翠仙%趙曉軍%安豔玲%陳培翠%張耀%囉天娥%劉桂芬
장취선%조효군%안염령%진배취%장요%라천아%류계분
脑膜瘤%神经胶质瘤%ROC曲线%血管内皮生长因子%磁共振成像%诊断,鉴别
腦膜瘤%神經膠質瘤%ROC麯線%血管內皮生長因子%磁共振成像%診斷,鑒彆
뇌막류%신경효질류%ROC곡선%혈관내피생장인자%자공진성상%진단,감별
Meningioma%Glioma%ROC curve%Vascular endothelial growth factor%Magnetic resonance imaging%Diagnosis,differential
目的 阐明磁共振成像(MRI)与血清血管内皮生长因子(VEGF)联合检测对脑膜瘤与胶质瘤鉴别诊断准确度的评价方法.方法 按设计的统一标准,收集2010年3月至2012年10月于山西省肿瘤医院神经外科住院的术后经病理确诊的胶质瘤或脑膜瘤患者1 14例,其中脑膜瘤患者50例,胶质瘤患者64例.在入院常规检查基础上,进行MRI平扫及增强扫描、血清VEGF、碱性磷酸酶(ALP)和乳酸脱氢酶(LDH)等检查.采用协变量(T2WI、VEGF)影响的受试者工作特征(ROC)曲线回归分析,完成鉴别诊断准确度评价.结果 VEGF对胶质瘤与脑膜瘤鉴别诊断的准确度较高,ROC曲线下面积为91.34%;在考虑边缘清晰度等因素后,根据MRI T2WI信号特征,采用MRI与VEGF联合检测的分层鉴别诊断.根据临床意义,MRI检查T2WI为等信号时,VEGF鉴别诊断准确度更高,ROC曲线下面积为97.62%,而低信号时为90.00%,高信号时为88.34%.结论 根据MRI T2WI信号特征联合检测VEGF含量,采用ROC曲线模型分析,可以提高对脑膜瘤与胶质瘤鉴别诊断的准确度.
目的 闡明磁共振成像(MRI)與血清血管內皮生長因子(VEGF)聯閤檢測對腦膜瘤與膠質瘤鑒彆診斷準確度的評價方法.方法 按設計的統一標準,收集2010年3月至2012年10月于山西省腫瘤醫院神經外科住院的術後經病理確診的膠質瘤或腦膜瘤患者1 14例,其中腦膜瘤患者50例,膠質瘤患者64例.在入院常規檢查基礎上,進行MRI平掃及增彊掃描、血清VEGF、堿性燐痠酶(ALP)和乳痠脫氫酶(LDH)等檢查.採用協變量(T2WI、VEGF)影響的受試者工作特徵(ROC)麯線迴歸分析,完成鑒彆診斷準確度評價.結果 VEGF對膠質瘤與腦膜瘤鑒彆診斷的準確度較高,ROC麯線下麵積為91.34%;在攷慮邊緣清晰度等因素後,根據MRI T2WI信號特徵,採用MRI與VEGF聯閤檢測的分層鑒彆診斷.根據臨床意義,MRI檢查T2WI為等信號時,VEGF鑒彆診斷準確度更高,ROC麯線下麵積為97.62%,而低信號時為90.00%,高信號時為88.34%.結論 根據MRI T2WI信號特徵聯閤檢測VEGF含量,採用ROC麯線模型分析,可以提高對腦膜瘤與膠質瘤鑒彆診斷的準確度.
목적 천명자공진성상(MRI)여혈청혈관내피생장인자(VEGF)연합검측대뇌막류여효질류감별진단준학도적평개방법.방법 안설계적통일표준,수집2010년3월지2012년10월우산서성종류의원신경외과주원적술후경병리학진적효질류혹뇌막류환자1 14례,기중뇌막류환자50례,효질류환자64례.재입원상규검사기출상,진행MRI평소급증강소묘、혈청VEGF、감성린산매(ALP)화유산탈경매(LDH)등검사.채용협변량(T2WI、VEGF)영향적수시자공작특정(ROC)곡선회귀분석,완성감별진단준학도평개.결과 VEGF대효질류여뇌막류감별진단적준학도교고,ROC곡선하면적위91.34%;재고필변연청석도등인소후,근거MRI T2WI신호특정,채용MRI여VEGF연합검측적분층감별진단.근거림상의의,MRI검사T2WI위등신호시,VEGF감별진단준학도경고,ROC곡선하면적위97.62%,이저신호시위90.00%,고신호시위88.34%.결론 근거MRI T2WI신호특정연합검측VEGF함량,채용ROC곡선모형분석,가이제고대뇌막류여효질류감별진단적준학도.
Objective To clarify evaluation methodology of the accuracy of differential diagnosis of meningioma and glioma,taking magnetic resonance imaging (MRI) and vascular endothelial growth factor (VEGF) into account.Methods According to the unified standard of design,114 cases were selected,which were diagnosed by postoperative pathological in Shanxi Cancer Hospital from March 2010 to October 2012.On the basis of hospital routine inspection,all patients needed MRI scan,enhancement scan,VEGF,ALP and LDH,with pathological diagnosis of glioma or meningioma.Using ROC curve analysis which took VEGF,T2WI into account,the accuracy of differential diagnosis could be evaluated.Results The results showed that the differential diagnosis accuracy were high relatively,the area under the ROC curve was 91.34 %.When the T2WI were equisignal,low signal or high signal respectively,the area under the curve ROC were 97.62 %,90.00 %,88.34 %.Conclusion To consider the MRI T2WI and VEGF,ROC curve regression model analysis can enhance the differential diagnosis accuracy of meningioma and glioma.