肿瘤影像学
腫瘤影像學
종류영상학
Oncoradiology
2015年
1期
48-51
,共4页
谢潇%王跃涛%刘艳萍%陈卉
謝瀟%王躍濤%劉豔萍%陳卉
사소%왕약도%류염평%진훼
乳腺病灶%声弹性成像%应变率比值%面积比
乳腺病竈%聲彈性成像%應變率比值%麵積比
유선병조%성탄성성상%응변솔비치%면적비
Breast lesion%Sonoelastography%Strain ratio%Area ratio
目的：探讨实时组织弹性成像技术(RTE)的组织应变比(SR)和面积比对乳腺实性病灶的诊断价值。方法：选取139例乳腺肿块患者，术前对实性病灶根据乳腺影像报告和数据系统(BI-RADS)分类，再行RTE检查。用QLab软件分析SR和面积比；并以病理诊断为金标准，对SR和面积比建立受试者工作特征(ROC)曲线，寻找合适的良恶性界点，并进行诊断效能分析。结果：病灶的SR和面积比ROC曲线下面积分别为0.953、0.918。SR的诊断界点为2.50时，其灵敏度、特异度、准确率、阳性预测值、阴性预测值分别为88.0%(44/50)、89.8%(114/127)、89.3%(158/177)、77.2%(44/57)和95.0%(114/120)。面积比诊断界点为0.94时，其灵敏度、特异度、准确率、阳性预测值、阴性预测值分别为84.0%(42/50)、87.4%(111/127)、86.4%(153/177)、72.4%(42/58)和93.3%(111/119)。传统超声的灵敏度、特异度、准确率、阳性预测值、阴性预测值分别为90.0%(45/50）、81.1%(103/127)、83.6%(148/177)、65.2%(45/69)和95.4%(103/108)结论：RTE的SR和面积比提高了超声诊断乳腺实性病灶的特异度，有助于超声对乳腺良恶性肿瘤的鉴别。
目的：探討實時組織彈性成像技術(RTE)的組織應變比(SR)和麵積比對乳腺實性病竈的診斷價值。方法：選取139例乳腺腫塊患者，術前對實性病竈根據乳腺影像報告和數據繫統(BI-RADS)分類，再行RTE檢查。用QLab軟件分析SR和麵積比；併以病理診斷為金標準，對SR和麵積比建立受試者工作特徵(ROC)麯線，尋找閤適的良噁性界點，併進行診斷效能分析。結果：病竈的SR和麵積比ROC麯線下麵積分彆為0.953、0.918。SR的診斷界點為2.50時，其靈敏度、特異度、準確率、暘性預測值、陰性預測值分彆為88.0%(44/50)、89.8%(114/127)、89.3%(158/177)、77.2%(44/57)和95.0%(114/120)。麵積比診斷界點為0.94時，其靈敏度、特異度、準確率、暘性預測值、陰性預測值分彆為84.0%(42/50)、87.4%(111/127)、86.4%(153/177)、72.4%(42/58)和93.3%(111/119)。傳統超聲的靈敏度、特異度、準確率、暘性預測值、陰性預測值分彆為90.0%(45/50）、81.1%(103/127)、83.6%(148/177)、65.2%(45/69)和95.4%(103/108)結論：RTE的SR和麵積比提高瞭超聲診斷乳腺實性病竈的特異度，有助于超聲對乳腺良噁性腫瘤的鑒彆。
목적：탐토실시조직탄성성상기술(RTE)적조직응변비(SR)화면적비대유선실성병조적진단개치。방법：선취139례유선종괴환자，술전대실성병조근거유선영상보고화수거계통(BI-RADS)분류，재행RTE검사。용QLab연건분석SR화면적비；병이병리진단위금표준，대SR화면적비건립수시자공작특정(ROC)곡선，심조합괄적량악성계점，병진행진단효능분석。결과：병조적SR화면적비ROC곡선하면적분별위0.953、0.918。SR적진단계점위2.50시，기령민도、특이도、준학솔、양성예측치、음성예측치분별위88.0%(44/50)、89.8%(114/127)、89.3%(158/177)、77.2%(44/57)화95.0%(114/120)。면적비진단계점위0.94시，기령민도、특이도、준학솔、양성예측치、음성예측치분별위84.0%(42/50)、87.4%(111/127)、86.4%(153/177)、72.4%(42/58)화93.3%(111/119)。전통초성적령민도、특이도、준학솔、양성예측치、음성예측치분별위90.0%(45/50）、81.1%(103/127)、83.6%(148/177)、65.2%(45/69)화95.4%(103/108)결론：RTE적SR화면적비제고료초성진단유선실성병조적특이도，유조우초성대유선량악성종류적감별。
Objective:To investigate the diagnostic value of strain ratio (SR) and area ratio in breast lesions by real-time tissue elastography. Methods:Breast Imaging Reporting and Data System (BI-RADS) classiifcation was used to score the solid breast lesions in 139 cases before surgery. QLab software was used to analyze SR and area ratio of lesions. The pathological results were chosen as the gold standard, and receiver operating characteristic (ROC) curves were plotted for SR and area ratio to ifnd the critical point distinguishing the benign and malignant breast lesions. The diagnostic efifciency of the two indicators was analyzed. Results:The area under ROC curve of SR was 0.953, and that of area ratio was 0.918. When the cutoff point for SR was determined as 2.50, the sensitivity, speciifcity, accuracy, positive predictive value and negative predictive value were 88.0%(44/50), 89.8%(114/127), 89.3%(158/177), 77.2 (44/57) and 95.0%(114/120) in identifying malignant breast lesions. When the cutoff point for area ratio was determined as 0.94, the sensitivity, speciifcity, accuracy, positive predictive value and negative predictive value were 84.0%(42/50), 87.4% (111/127), 86.4% (153/177), 72.4% (42/58) and 93.3%(111/119) in identifying malignant breast lesions. While the traditional ultrasound’s sensitivity, speciifcity, accuracy, positive predictive value and negative predictive value were 90.0% (45/50), 81.1% (103/127), 83.6% (148/177), 65.2% (45/69) and 95.4% (103/108), respectively. Conclusion:SR and area ratio of real-time tissue elastography improve the speciifcity of ultrasonic diagnosis, and is helpful in the differential diagnosis of benign and malignant breast lesions.
