A SIX-PARAMETER SEMI-QUANTITATIVE ANALYSIS OF 251 PATIENTS FOR THE ENHANCED TRIGGERED TIMING OF HEAD AND NECK CT ANGIOGRAPHY SCANNING VIA THE INVERSE PROBLEM ALGORITHM

Abstract

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.