Kinetic imaging can be used on image series acquired with existing angiography protocols and provides information similar to digital subtraction angiography but with greater signal-to-noise ratio and higher image quality. PurposeTo compare the image quality produced by kinetic imaging in x-ray angiography and the current reference standard digital subtraction angiography (DSA).Materials and MethodsThis prospective observational crossover study enrolled 42 patients undergoing lower limb x-ray angiography between February and June 2017 (mean age, 68.7 years; age range, 49–89 years; 32 men [mean age, 67.1 years; age range, 49–89 years] and 10 women [mean age, 75 years; age range, 57–85 years]). Signal-to-noise ratios (SNRs) of DSA and kinetic image pairs were compared. Visual quality comparisons were also performed by specialists who used an online questionnaire. Interrater agreement was characterized by percent agreement and Fleiss k.ResultsA total of 1902 regions of interest were carefully selected in 110 image pairs to calculate and compare the SNRs. Median SNR in raw kinetic images was 3.3-fold and 2.3-fold higher than raw and postprocessed DSA images, respectively. A total of 232 pairs of raw and postprocessed kinetic im...

Background: digital variance angiography (DVA) provides higher image quality than digital subtraction angiography (DSA). This study investigates whether the quality reserve of DVA allows for radiation dose reduction during lower limb angiography (LLA), and compares the performance of two DVA algorithms. Methods: this prospective block-randomized controlled study enrolled 114 peripheral arterial disease patients undergoing LLA into normal dose (ND, 1.2 µGy/frame, n = 57) or low-dose (LD, 0.36 µGy/frame, n = 57) groups. DSA images were generated in both groups, DVA1 and DVA2 images were generated in the LD group. Total and DSA-related radiation dose area product (DAP) were analyzed. Image quality was assessed on a 5-grade Likert scale by six readers. Results: the total and DSA-related DAP were reduced by 38% and 61% in the LD group. The overall visual evaluation scores (median (IQR)) of LD-DSA (3.50 (1.17)) were significantly lower than the ND-DSA scores (3.83 (1.00), p < 0.001). There was no difference between ND-DSA and LD-DVA1 (3.83 (1.17)), but the LD-DVA2 scores were significantly higher (4.00 (0.83), p < 0.01). The difference between LD-DVA2 and LD-DVA1 was also significant (p < 0.001). Conclusions: DVA significantly reduced the total and DSA-related radiation dose in LLA, without affecting the image quality. LD-DVA2 images outperformed LD-DVA1, therefore DVA2 might be especially beneficial in lower limb interventions.

The evaluation of hemodynamic conditions in critical limb-threatening ischemia (CLTI) patients is inevitable in endovascular interventions. In this study, the performance of color-coded digital subtraction angiography (ccDSA) and the recently developed color-coded digital variance angiography (ccDVA) was compared in the assessment of key time parameters in lower extremity interventions. The observational study included 19 CLTI patients who underwent peripheral vascular intervention at our institution in 2020. Pre- and post-dilatational images were retrospectively processed and analyzed by a commercially available ccDSA software (Kinepict Medical Imaging Tool 6.0.3; Kinepict Health Ltd., Budapest, Hungary) and by the recently developed ccDVA technology. Two protocols were applied using both a 4 and 7.5 frames per second acquisition rate. Time-to-peak (TTP) parameters were determined in four pre- and poststenotic regions of interest (ROI), and ccDVA values were compared to ccDSA read-outs. The ccDVA technology provided practically the same TTP values as ccDSA (r = 0.99, R² = 0.98, p < 0.0001). The correlation was extremely high independently of the applied protocol or the position of ROI; the r value was 0.99 (R² = 0.98, p < 0.0001) in all groups. A similar correlation was observed in the change in passage time (r = 0.98, R² = 0.96, p < 0.0001). The color-coded DVA technology can reproduce the same hemodynamic data as a commercially available DSA-based software; therefore, it has the potential to be an alternative decision-supporting tool in catheter labs.