Thayer School of Engineering at Dartmouth, Hanover, New Hampshire, United States.
Dartmouth Health, Department of Orthopaedics, Lebanon, New Hampshire, United States.
J Biomed Opt. 2024 Jun;29(Suppl 3):S33306. doi: 10.1117/1.JBO.29.S3.S33306. Epub 2024 Sep 6.
The arterial input function (AIF) plays a crucial role in correcting the time-dependent concentration of the contrast agent within the arterial system, accounting for variations in agent injection parameters (speed, timing, etc.) across patients. Understanding the significance of the AIF can enhance the accuracy of tissue vascular perfusion assessment through indocyanine green-based dynamic contrast-enhanced fluorescence imaging (DCE-FI).
We evaluate the impact of the AIF on perfusion assessment through DCE-FI.
A total of 144 AIFs were acquired from 110 patients using a pulse dye densitometer. Simulation and patient intraoperative imaging were conducted to validate the significance of AIF for perfusion assessment based on kinetic parameters extracted from fluorescence images before and after AIF correction. The kinetic model accuracy was evaluated by assessing the variability of kinetic parameters using individual AIF versus population-based AIF.
Individual AIF can reduce the variability in kinetic parameters, and population-based AIF can potentially replace individual AIF for estimating wash-out rate ( ), maximum intensity ( ), ingress slope with lower differences compared with those in estimating blood flow, volume transfer constant ( ), and time to peak.
Individual AIF can provide the most accurate perfusion assessment compared with assessment without AIF or based on population-based AIF correction.
动脉输入函数(AIF)在纠正动脉系统内对比剂的时间依赖性浓度方面起着至关重要的作用,考虑到不同患者之间的造影剂注射参数(速度、时间等)的变化。通过基于吲哚菁绿的动态对比增强荧光成像(DCE-FI)了解 AIF 的意义,可以提高组织血管灌注评估的准确性。
我们评估 AIF 对通过 DCE-FI 进行的灌注评估的影响。
使用脉冲染料密度计从 110 名患者中总共获取了 144 个 AIF。通过模拟和患者术中成像,根据荧光图像在 AIF 校正前后提取的动力学参数,验证了 AIF 对灌注评估的意义。通过评估个体 AIF 与基于群体的 AIF 相比,动力学参数的变异性来评估动力学模型的准确性。
个体 AIF 可以降低动力学参数的可变性,而基于群体的 AIF 可以潜在地替代个体 AIF 来估计洗脱率( )、最大强度( )、入口斜率,与估计血流、体积转移常数( )和峰值时间相比,差异较小。
与不使用 AIF 或基于群体 AIF 校正的评估相比,个体 AIF 可以提供最准确的灌注评估。