Dewey M, Schnapauff D, Laule M, Lembcke A, Borges A C, Rutsch W, Hamm B, Rogalla P
Department of Radiology, Charité, Medical School of the Free University and Humboldt University, Berlin.
Rofo. 2004 Apr;176(4):478-83. doi: 10.1055/s-2004-812991.
To investigate the potential of a new detection tool for multislice CT (MSCT) coronary angiography with automatic display of curved multiplanar reformations and orthogonal cross-sections.
Thirty-five patients were consecutively enrolled in a prospective intention-to-diagnose study and examined using a MSCT scanner with 16 x 0.5 mm detector collimation and 400 ms gantry rotation time (Aquilion, Toshiba). A multisegment algorithm using up to four segments was applied for ECG-gated reconstruction. Automatic and manual detection of coronary arteries was conducted using the coronary artery CT protocol of a workstation (Vitrea 2, Version 3.3, Vital Images) to detect significant stenoses (> or = 50 %) in all segments of > or = 1.5 mm in diameter. Each detection tool was used by one reader who was blinded to the results of the other detection method and the results of conventional coronary angiography.
The overall sensitivity, specificity, nondiagnostic rate, and accuracy of the automatic and manual approach were 90 vs. 94 %, 89 vs. 84 %, 6 vs. 6 %, and 89 vs. 88 %, respectively (p = n. s.). The vessel length detected with the automatic and manual approach were highly correlated for the left main/left anterior descending (143 +/- 30 vs. 146 +/- 24 mm, r = 0.923, p < 0.001), left circumflex (94 +/- 35 vs. 93 +/- 33 mm, r = 0.945, p < 0.001), and right coronary artery (145 +/- 36 vs. 144 +/- 37 mm, r = 0.925, p < 0.001). The time required to create reformations along the coronary arteries was significantly shorter with the automatic tool compared to the manual approach (203 +/- 77 vs. 391 +/- 104 sec, p < 0.005). In 90 % of the coronary branches automatic detection required less time than the manual approach.
Automatic coronary vessel detection is feasible and reduces the time required to create reformations by a factor of approximately two without deteriorating the diagnostic accuracy.
探讨一种用于多层螺旋CT（MSCT）冠状动脉造影的新型检测工具的潜力，该工具可自动显示曲面多平面重建图像和正交横截面图像。
连续纳入35例患者进行前瞻性诊断意向性研究，使用具有16×0.5mm探测器准直和400ms机架旋转时间的MSCT扫描仪（东芝Aquilion）进行检查。采用一种最多使用四段的多段算法进行心电图门控重建。使用工作站（Vitrea 2，版本3.3，Vital Images）的冠状动脉CT协议对冠状动脉进行自动和手动检测，以检测直径≥1.5mm的所有节段中的显著狭窄（≥50%）。每种检测工具由一名对另一种检测方法的结果和传统冠状动脉造影结果不知情的读者使用。
自动和手动方法的总体敏感性、特异性、非诊断率和准确性分别为90%对94%、89%对84%、6%对6%、89%对88%（p=无显著性差异）。自动和手动方法检测到的血管长度在左主干/左前降支（143±30对146±24mm，r=0.923，p<0.001）、左旋支（94±35对93±33mm，r=0.945，p<0.001）和右冠状动脉（145±36对144±37mm，r=0.925，p<0.001）方面高度相关。与手动方法相比，使用自动工具沿冠状动脉创建重建图像所需的时间明显更短（203±77对391±104秒，p<0.005）。在90%的冠状动脉分支中，自动检测所需时间比手动方法少。
自动冠状动脉检测是可行的，可将创建重建图像所需的时间减少约一半，而不会降低诊断准确性。
Zotero 插件