Grundeken Maik J, Ishibashi Yuki, Ramcharitar Steve, Tuinenburg Joan C, Reiber Johan H C, Tu Shengxian, Aben Jean-Paul, Girasis Chrysafios, Wykrzykowska Joanna J, Onuma Yoshinobu, Serruys Patrick W
Academic Medical Center, Amsterdam, The Netherlands.
EuroIntervention. 2015;11 Suppl V:V44-9. doi: 10.4244/EIJV11SVA10.
Single-vessel quantitative coronary angiography (QCA) software is inaccurate when used in bifurcation lesions due to the specific anatomical characteristics of bifurcations, including the natural step-down in diameters after every bifurcation. Dedicated bifurcation QCA software has been developed to overcome the limitations of single-vessel QCA in bifurcations. A phantom validation study has shown the superior accuracy of these bifurcation QCA algorithms compared to the single-vessel QCA software. These QCA software algorithms are currently highly recommended to assess bifurcation lesions.
由于分叉病变的特定解剖特征，包括每次分叉后直径自然减小，单支血管定量冠状动脉造影（QCA）软件在用于分叉病变时不准确。为克服单支血管QCA在分叉病变中的局限性，已开发出专用的分叉病变QCA软件。一项体模验证研究表明，与单支血管QCA软件相比，这些分叉病变QCA算法具有更高的准确性。目前强烈推荐使用这些QCA软件算法来评估分叉病变。
