目的:探讨自动乳腺全容积成像(automated breast volume scanner,ABVS)技术与X线钼靶(mammography,MG)对超声乳腺影像和数据报告系统(breast imaging reporting and data system ultrasound,BI-DS-US)4类乳腺小肿块良恶性诊断的应用价...目的:探讨自动乳腺全容积成像(automated breast volume scanner,ABVS)技术与X线钼靶(mammography,MG)对超声乳腺影像和数据报告系统(breast imaging reporting and data system ultrasound,BI-DS-US)4类乳腺小肿块良恶性诊断的应用价值。方法:利用ABVS及MG对常规超声(ultrasound,US)诊断为BI-DS-US 4类的103例患者共109枚小肿块进行扫查,以术后病理结果作为金标准,分析两者与US联合应用的诊断效能。结果:US,US联合MG,US联合ABVS,US与ABVS及MG三者联合诊断的敏感性分别为85.5%,86.8%,94.7%,96.0%;特异性分别为66.7%,69.7%,81.8%,84.9%;准确率分别为79.8%,81.6%,90.8%,92.7%;受试者工作特征(receiver operating characteristic,ROC)曲线的曲线下面积(area under curve,AUC)分别为0.76,0.78,0.88,0.90。US联合ABVS诊断准确率及AUC均高于US及US联合MG(P<0.05),特异性及敏感性差异无统计学意义(P>0.05)。US联合ABVS,US与ABVS及MG三者联合组间比较,其敏感性、特异性、准确性和AUC差异均无统计学意义(P>0.05)。结论:对于BI-DS-US 4类乳腺小肿块,ABVS联合US能提高其诊断效能,且优于US联合MG。展开更多
Diffusion-weighted imaging(DWI) is considered to be one of the dominant modalities used in prostate cancer(PCa) detection and the assessment of lesion aggressiveness,especially for peripheral zone(PZ) PCa.Computer-aid...Diffusion-weighted imaging(DWI) is considered to be one of the dominant modalities used in prostate cancer(PCa) detection and the assessment of lesion aggressiveness,especially for peripheral zone(PZ) PCa.Computer-aided diagnosis(CAD),which is capable of automatically extracting and evaluating image features,can integrate multiple parameters and improve the detection of PCa.In this study,13 quantitative image features were extracted from DWI by CAD,and diagnostic efficacy was analyzed in both the PZ and transition zone(TZ).The results demonstrated that there was a significant difference(P<0.05) between PCa and non-PCa for nine of the 13 features in the PZ and five of the 13 features in the TZ.Besides,the prediction outcome of CAD had a strong correlation with the DWI scores that were graded by experienced radiologists according to the Prostate Imaging-Reporting and Data System Version 2(PI-RADS v2).展开更多
文摘目的:探讨自动乳腺全容积成像(automated breast volume scanner,ABVS)技术与X线钼靶(mammography,MG)对超声乳腺影像和数据报告系统(breast imaging reporting and data system ultrasound,BI-DS-US)4类乳腺小肿块良恶性诊断的应用价值。方法:利用ABVS及MG对常规超声(ultrasound,US)诊断为BI-DS-US 4类的103例患者共109枚小肿块进行扫查,以术后病理结果作为金标准,分析两者与US联合应用的诊断效能。结果:US,US联合MG,US联合ABVS,US与ABVS及MG三者联合诊断的敏感性分别为85.5%,86.8%,94.7%,96.0%;特异性分别为66.7%,69.7%,81.8%,84.9%;准确率分别为79.8%,81.6%,90.8%,92.7%;受试者工作特征(receiver operating characteristic,ROC)曲线的曲线下面积(area under curve,AUC)分别为0.76,0.78,0.88,0.90。US联合ABVS诊断准确率及AUC均高于US及US联合MG(P<0.05),特异性及敏感性差异无统计学意义(P>0.05)。US联合ABVS,US与ABVS及MG三者联合组间比较,其敏感性、特异性、准确性和AUC差异均无统计学意义(P>0.05)。结论:对于BI-DS-US 4类乳腺小肿块,ABVS联合US能提高其诊断效能,且优于US联合MG。
文摘Diffusion-weighted imaging(DWI) is considered to be one of the dominant modalities used in prostate cancer(PCa) detection and the assessment of lesion aggressiveness,especially for peripheral zone(PZ) PCa.Computer-aided diagnosis(CAD),which is capable of automatically extracting and evaluating image features,can integrate multiple parameters and improve the detection of PCa.In this study,13 quantitative image features were extracted from DWI by CAD,and diagnostic efficacy was analyzed in both the PZ and transition zone(TZ).The results demonstrated that there was a significant difference(P<0.05) between PCa and non-PCa for nine of the 13 features in the PZ and five of the 13 features in the TZ.Besides,the prediction outcome of CAD had a strong correlation with the DWI scores that were graded by experienced radiologists according to the Prostate Imaging-Reporting and Data System Version 2(PI-RADS v2).
