Background The computational fluid dynamics(CFD)approach has been frequently applied to compute the fractional flow reserve(FFR)using computed tomography angiography(CTA).This technique is efficient.We developed the D...Background The computational fluid dynamics(CFD)approach has been frequently applied to compute the fractional flow reserve(FFR)using computed tomography angiography(CTA).This technique is efficient.We developed the DEEPVESSEL-FFR platform using the emerging deep learning technique to calculate the FFR value out of CTA images in five minutes.This study is to evaluate the DEEPVESSEL-FFR platform using the emerging deep learning technique to calculate the FFR value from CTA images as an efficient method.Methods A single-center,prospective study was conducted and 63 patients were enrolled for the evaluation of the diagnostic performance of DEEPVESSEL-FFR.Automatic quantification method for the three-dimensional coronary arterial geometry and the deep learning based prediction of FFR were developed to assess the ischemic risk of the stenotic coronary arteries.Diagnostic performance of the DEEPVESSEL-FFR was assessed by using wire-based FFR as reference standard.The primary evaluation factor was defined by using the area under receiver-operation characteristics curve(AUC)analysis.Results For per-patient level,taking the cut-off value<0.8 referring to the FFR measurement,DEEPVESSEL-FFR presented higher diagnostic performance in determining ischemia-related lesions with area under the curve of 0.928 compare to CTA stenotic severity 0.664.DEEPVESSEL-FFR correlated with FFR(R=0.686,P<0.001),with a mean di&ference of-0.006士0.0091(P=0.619).The secondary evaluation factors,indicating per vessel accuracy,sensitivity,specificity,positive predictive value,and negative predictive value were 87.3%,97.14%,75%,82.93%,and 95.45%,respectively.Conclusion DEEPVESSEL-FFR is a novel method that allows efficient assessment of the functional significance of coronary stenosis.展开更多
目的：探讨冠状动脉造影（CAG）联合血流储备分数（FFR）在冠心病介入治疗中的临床应用价值。方法将CAG明确冠状动脉病变至少单支血管狭窄70％～90％的冠心病患者82例（147处病变），分为观察组和对照组。观察组40例共72处病变均应用压...目的：探讨冠状动脉造影（CAG）联合血流储备分数（FFR）在冠心病介入治疗中的临床应用价值。方法将CAG明确冠状动脉病变至少单支血管狭窄70％～90％的冠心病患者82例（147处病变），分为观察组和对照组。观察组40例共72处病变均应用压力导丝行心肌FFR测定，仅在FFR≤0．80的病变中植入药物洗脱支架（DES ），术后FFR≤0．80患者给予支架内球囊后扩张；对照组42例患者75处病变行经皮冠状动脉介治疗（PCI）常规植入DES。比较两组患者一般情况及危险因素（高血压、糖尿病、高脂血症、吸烟等）、病变个数、支架植入数目，住院费用以及手术6个月后主要不良事件发生率（M ACE）、心绞痛再发生率。结果观察组支架植入数目及住院费用明显少于对照组[（0．88±0．88）个 vs．（1．81±0．83）个，（4．72±2．30）万元 vs．（6．00±2．41）万元，P＜0．05]；观察组与对照组术后6个月均未出现全因死亡，其再发心肌梗死率、再次血运重建率、复发心绞痛分别为2．50％ vs ．0、2．50％ vs ．2．38％、5．00％ vs ．7．14％，差异无统计学意义（P＞0．05）。结论 CAG结合心肌FFR测定，能显著减少冠心病患者支架使用数量、减少医疗费用支出，术后6个月内不增加M ACE发生率及心绞痛的发作。展开更多
Background：Fractional flow reserve （FFR） is currently considered as the gold standard for evaluating the functional significance of coronary stenosis.However,its potential benefits in real-world practice remain unk...Background：Fractional flow reserve （FFR） is currently considered as the gold standard for evaluating the functional significance of coronary stenosis.However,its potential benefits in real-world practice remain unknown in China.This study aimed to test the hypothesis that the use of FFR is associated with improved outcome and reduced cost in Chinese real-world clinical practice.Methods：A retrospective cohort study was carried out using the database of Second Affiliated Hospital of Zhejiang University,a tertiary and high-volume center in China.Clinical events were compared using the Cox proportional hazards model during a median follow-up of 13 months.Results：The study cohort consisted of 366 consecutive patients referred for coronary revascularization with adjunct FFR and 366 matched controls,from 2010 to 2014.Major adverse cardiac events （MACEs） （death,myocardial infarction,repeated revascularization,or hospitalization for angina） at 4 years were found in 12.0% ofangiography-guided patients and 4.9% in the FFR-guided group （P 〈 0.001）.The mean number of implanted stents was significantly lower in FFR treated subjects （0.52 ± 0.82 stents） compared with the angiography-guided group （0.93 ± 0.96 stents） （P 〈 0.001）.No difference in overall costs at initial hospitalization was observed between angiography-guided percutaneous coronary intervention （PCI） compared with FFR-guided PCI （RMB 33,000 Yuan,range：RMB 7393-44,700 Yuan） versus RMB 21,200 Yuan （RMB 19,100-47,100 Yuan） （P =0.54）.However,costs for MACEs during follow-up were significantly reduced in the FFR-guided arm （P 〈 0.001）.Conclusions：In the contemporary clinical practice,FFR-guided PCI is associated with decreased use of stents,improved clinical outcome,and reduced costs,compared with angiography-guided PCI.展开更多
目的以导管测量血流储备分数(FFR)为金标准,评价基于血流动力学优化融合模型的CT血流储备分数(CT-FFR)对冠状动脉狭窄所致心肌缺血病变的诊断效能。方法前瞻性选择127例接受冠状动脉CT血管成像(CCTA)、1周内冠状动脉造影及经导管FFR测...目的以导管测量血流储备分数(FFR)为金标准,评价基于血流动力学优化融合模型的CT血流储备分数(CT-FFR)对冠状动脉狭窄所致心肌缺血病变的诊断效能。方法前瞻性选择127例接受冠状动脉CT血管成像(CCTA)、1周内冠状动脉造影及经导管FFR测量患者(152支血管),以CCTA观察病变狭窄程度,计算CT-FFR。以FFR<0.8为判断心肌缺血金标准,绘制CT-FFR及CCTA的ROC曲线,获得AUC。计算两种方法诊断心肌缺血的敏感度、特异度、阳性预测值、阴性预测值及准确率。结果 CT-FFR与导管测量FFR一致性良好,仅6.6%测量值在95%一致性界限之外。CT-FFR诊断心肌缺血AUC在患者水平(0.92 vs 0.69,P<0.001)和血管水平(0.93 vs 0.69,P<0.001)均优于CCTA。以患者水平CT-FFR<0.8诊断心肌缺血的敏感度、特异度和准确率分别为84.1%、90.6%和85.8%,CCTA>50%分别为82.5%、54.7%和68.5%;血管水平CT-FFR<0.8分别为88.0%、84.7%和84.9%,CCTA>50%分别为80.6%、57.7%和69.1%。CT-FFR对于血管水平狭窄程度30%~70%病变诊断效能仍佳。结论 CT-FFR对心肌缺血病变的诊断效能优于CCTA,有助于临床筛查心肌缺血病变。展开更多
文摘Background The computational fluid dynamics(CFD)approach has been frequently applied to compute the fractional flow reserve(FFR)using computed tomography angiography(CTA).This technique is efficient.We developed the DEEPVESSEL-FFR platform using the emerging deep learning technique to calculate the FFR value out of CTA images in five minutes.This study is to evaluate the DEEPVESSEL-FFR platform using the emerging deep learning technique to calculate the FFR value from CTA images as an efficient method.Methods A single-center,prospective study was conducted and 63 patients were enrolled for the evaluation of the diagnostic performance of DEEPVESSEL-FFR.Automatic quantification method for the three-dimensional coronary arterial geometry and the deep learning based prediction of FFR were developed to assess the ischemic risk of the stenotic coronary arteries.Diagnostic performance of the DEEPVESSEL-FFR was assessed by using wire-based FFR as reference standard.The primary evaluation factor was defined by using the area under receiver-operation characteristics curve(AUC)analysis.Results For per-patient level,taking the cut-off value<0.8 referring to the FFR measurement,DEEPVESSEL-FFR presented higher diagnostic performance in determining ischemia-related lesions with area under the curve of 0.928 compare to CTA stenotic severity 0.664.DEEPVESSEL-FFR correlated with FFR(R=0.686,P<0.001),with a mean di&ference of-0.006士0.0091(P=0.619).The secondary evaluation factors,indicating per vessel accuracy,sensitivity,specificity,positive predictive value,and negative predictive value were 87.3%,97.14%,75%,82.93%,and 95.45%,respectively.Conclusion DEEPVESSEL-FFR is a novel method that allows efficient assessment of the functional significance of coronary stenosis.
文摘目的：探讨冠状动脉造影（CAG）联合血流储备分数（FFR）在冠心病介入治疗中的临床应用价值。方法将CAG明确冠状动脉病变至少单支血管狭窄70％～90％的冠心病患者82例（147处病变），分为观察组和对照组。观察组40例共72处病变均应用压力导丝行心肌FFR测定，仅在FFR≤0．80的病变中植入药物洗脱支架（DES ），术后FFR≤0．80患者给予支架内球囊后扩张；对照组42例患者75处病变行经皮冠状动脉介治疗（PCI）常规植入DES。比较两组患者一般情况及危险因素（高血压、糖尿病、高脂血症、吸烟等）、病变个数、支架植入数目，住院费用以及手术6个月后主要不良事件发生率（M ACE）、心绞痛再发生率。结果观察组支架植入数目及住院费用明显少于对照组[（0．88±0．88）个 vs．（1．81±0．83）个，（4．72±2．30）万元 vs．（6．00±2．41）万元，P＜0．05]；观察组与对照组术后6个月均未出现全因死亡，其再发心肌梗死率、再次血运重建率、复发心绞痛分别为2．50％ vs ．0、2．50％ vs ．2．38％、5．00％ vs ．7．14％，差异无统计学意义（P＞0．05）。结论 CAG结合心肌FFR测定，能显著减少冠心病患者支架使用数量、减少医疗费用支出，术后6个月内不增加M ACE发生率及心绞痛的发作。
文摘Background：Fractional flow reserve （FFR） is currently considered as the gold standard for evaluating the functional significance of coronary stenosis.However,its potential benefits in real-world practice remain unknown in China.This study aimed to test the hypothesis that the use of FFR is associated with improved outcome and reduced cost in Chinese real-world clinical practice.Methods：A retrospective cohort study was carried out using the database of Second Affiliated Hospital of Zhejiang University,a tertiary and high-volume center in China.Clinical events were compared using the Cox proportional hazards model during a median follow-up of 13 months.Results：The study cohort consisted of 366 consecutive patients referred for coronary revascularization with adjunct FFR and 366 matched controls,from 2010 to 2014.Major adverse cardiac events （MACEs） （death,myocardial infarction,repeated revascularization,or hospitalization for angina） at 4 years were found in 12.0% ofangiography-guided patients and 4.9% in the FFR-guided group （P 〈 0.001）.The mean number of implanted stents was significantly lower in FFR treated subjects （0.52 ± 0.82 stents） compared with the angiography-guided group （0.93 ± 0.96 stents） （P 〈 0.001）.No difference in overall costs at initial hospitalization was observed between angiography-guided percutaneous coronary intervention （PCI） compared with FFR-guided PCI （RMB 33,000 Yuan,range：RMB 7393-44,700 Yuan） versus RMB 21,200 Yuan （RMB 19,100-47,100 Yuan） （P =0.54）.However,costs for MACEs during follow-up were significantly reduced in the FFR-guided arm （P 〈 0.001）.Conclusions：In the contemporary clinical practice,FFR-guided PCI is associated with decreased use of stents,improved clinical outcome,and reduced costs,compared with angiography-guided PCI.
文摘目的以导管测量血流储备分数(FFR)为金标准,评价基于血流动力学优化融合模型的CT血流储备分数(CT-FFR)对冠状动脉狭窄所致心肌缺血病变的诊断效能。方法前瞻性选择127例接受冠状动脉CT血管成像(CCTA)、1周内冠状动脉造影及经导管FFR测量患者(152支血管),以CCTA观察病变狭窄程度,计算CT-FFR。以FFR<0.8为判断心肌缺血金标准,绘制CT-FFR及CCTA的ROC曲线,获得AUC。计算两种方法诊断心肌缺血的敏感度、特异度、阳性预测值、阴性预测值及准确率。结果 CT-FFR与导管测量FFR一致性良好,仅6.6%测量值在95%一致性界限之外。CT-FFR诊断心肌缺血AUC在患者水平(0.92 vs 0.69,P<0.001)和血管水平(0.93 vs 0.69,P<0.001)均优于CCTA。以患者水平CT-FFR<0.8诊断心肌缺血的敏感度、特异度和准确率分别为84.1%、90.6%和85.8%,CCTA>50%分别为82.5%、54.7%和68.5%;血管水平CT-FFR<0.8分别为88.0%、84.7%和84.9%,CCTA>50%分别为80.6%、57.7%和69.1%。CT-FFR对于血管水平狭窄程度30%~70%病变诊断效能仍佳。结论 CT-FFR对心肌缺血病变的诊断效能优于CCTA,有助于临床筛查心肌缺血病变。
