Kinepict's Gyorsítósáv project has successfully finished and closed.

Minimally invasive endovascular interventions are playing an increasingly important role in modern healthcare systems, as they are less risky and burdensome and significantly shorten the time patients spend in hospital. They are widely used in the treatment of cardiovascular diseases, cancers, and other tissue proliferation conditions (myoma, prostate enlargement), which are leading causes of death. The interventions require angiographic studies to assess the condition and the effectiveness of the intervention.

Kinepict Health Ltd. has developed a new image processing technology, Digital Variance Angiography (DVA), which outperforms the imaging method used in minimally invasive endovascular procedures, called Digital Subtraction Angiography, in many areas by producing higher quality angiographic images with significantly better signal-to-noise ratios. In the Gyorsítósáv project, supported by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, a new color-coded parametric image and software module was developed based on DVA technology, available as part of the Kinepict Medical Imaging Tool software package. The technology has been clinically validated and provides quantitative analysis of blood flow parameters, providing significant real-time decision support to interventional radiologists. The developed software module has been named ccDVA Analysis Tool (color-coded DVA analysis tool).

Endovascular interventions can be basically divided into two groups. These are called restorative interventions and embolization procedures. In both cases, there is a change (increase or decrease) in blood flow compared to the pre-intervention state, and the effectiveness of the therapeutic procedure depends on the degree of change. This can often be judged only by subsequent symptoms and, if ineffective, may require further intervention. Using the software module developed, the evaluated blood flow parameters can be used to decide at the operating table whether the intervention was effective enough or whether the procedure should be continued. This avoids the need for a repeat intervention at a later stage, thus saving considerable costs and improving patients' quality of life.

2020-1.1.5-GYORSÍTÓSÁV-2021-00018 has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the 2020-1.1.5-GYORSÍTÓSÁV funding scheme.  

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