Poster Session N - Cardiovascular Medicine and Research 2.
Digital Variance Angiography (DVA) is a novel imaging technology used in the field of interventional radiology. Its use is primarily studied in lower-limb vascular diagnostics, and recently a prospective clinical trial has been performed showing the remarkable dose-lowering capability of this technology. DVA can also be combined with color-coding, which is based on visualising flow related functional data to increase the efficiency of vascular interventions.
Our aim was to compare the reliability of color-coded digital variance angiography and color-coded DSA (Siemens iFlow) in the assessment of lower extremity interventions.
22 CLI patients underwent peripheral vascular intervention in 2020 at the Heart and Vascular Center of Semmelweis University (Budapest, Hungary). Pre- and post-dilatational images were retrospectively processed with Siemens iFlow and Kinepict software, color-coded parametric images were then further examined by reading out time parameters from pre-, and post-stenotic vascular segments. Three parameters, namely the time-to-peak (TTP), peak attenuation (PA) and area-under-curve (AUC) were calculated by each software. Result were compared pairwisely.
Correlation analysis of TTP measurements showed a good match with high (>95%) R2 values (p<0,05). The significant correlation between time-to-peak values was not affected by different imaging protocols or the localization of regions-of-interest. The measured change of TTP caused by vascular intervention was also similar in both groups (R2=0,966, p<0,05).
The comparison of peak attenuation (PA)values resulted in a significant difference in the „4 frames-per-second” protocol group and correlation was not found in neither groups. However, indirect comparison methods resulted in significant correlation between iFlow and DVA data
Regarding AUC data, the reproducibilty varied between different imageing protocol groups.
In conclusion, the color-coded DVA technology is able to reproduce the same time-to-peak data as other commercially available software. The use of PA should also be considered, with proper measurement protocols. The usability of AUC requires further investigation.
This project has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development, and Innovation Fund, financed under the „KDP-2020” funding scheme.