In this study, the correlation between triggered timing for head and neck CT angiography (TT CTA) scanning and the average of CT values of both left and right arterial to upper sinuses (LRA/US) reaching a maximal ratio was surveyed and explored using the inverse problem algorithm according to a six-factor semi-quantitative analysis of 251 patients. Six risk factors, namely TT CTA, mean arterial pressure (MAP), heart rate (HR), contrast media solution (CMS), given pressure (Pre), and body surface area (BSA) were used to identify a nonlinear first-order regression correlation between projected and actual LRA/US values. The respective 22 terms were derived via the STATISTICA program. In doing so, a customized loss function ([Formula: see text]) was defined according to the total fluctuation between theoretically projected and actual LRA/US values for all 216 patients. Thus, [Formula: see text] individual data points were included in the algorithm to optimize the compromised solution array [[Formula: see text]] of LRA/US values. The results exhibited a close correlation with loss function [Formula: see text], correlation coefficient [Formula: see text], and a 93.13% variance. Another group of 35 patients with similar symptoms was selected to verify the prediction accuracy and exhibited a high coincidence, although the reverse calculation-based correlation between CC CTA and LRA/US was still controversial from a clinical viewpoint. The proposed algorithm is considered quite instrumental in predicting the LRA/US with ischemic stroke symptoms in the CTA examination.

中文翻译：

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251例患者的六参数半定量分析，通过反问题算法增强头颈部CT血管造影的触发时间

在这项研究中，使用头颈部 CT 血管造影 (TT CTA) 扫描触发时间与左右动脉与上鼻窦 (LRA/US) 平均 CT 值达到最大比值之间的相关性进行了调查和探索。根据对 251 名患者的六因素半定量分析的逆问题算法。使用 TT CTA、平均动脉压（MAP）、心率（HR）、造影剂溶液（CMS）、给定压力（Pre）和体表面积（BSA）六个危险因素来识别非线性一阶预计和实际 LRA/US 值之间的回归相关性。相应的 22 个术语是通过 STATISTICA 程序得出的。在这样做时，一个定制的损失函数（[公式：见正文]）是根据所有 216 名患者的理论预测值和实际 LRA/US 值之间的总波动来定义的。因此，[公式：参见文本] 单个数据点包含在算法中，以优化 LRA/US 值的受损解决方案数组 [[公式：参见文本]]。结果与损失函数[公式：见正文]、相关系数[公式：见正文]密切相关，方差为93.13%。选择另一组具有相似症状的 35 名患者来验证预测准确性并表现出较高的一致性，尽管从临床角度来看，CC CTA 和 LRA/US 之间基于反向计算的相关性仍然存在争议。所提出的算法被认为在 CTA 检查中预测具有缺血性中风症状的 LRA/US 非常有用。