Publications by authors named "Alex Kacso"
Article Synopsis
- This study evaluates a deep-learning, MRI-based auto-contouring tool aimed at improving the speed and accuracy of delineating brain organs at risk during radiotherapy, compared to manual methods.
- The research involved analyzing data from thirty patients, where both AI-generated contours and manually corrected contours were compared using various accuracy metrics like Dice Similarity Coefficient and mean surface distance.
- Results indicated that auto-contouring was significantly faster than manual contouring, with good accuracy for larger structures; however, improvements are needed for smaller structures to enhance overall effectiveness in clinical practice.
Background: Visfatin is a proinflammatory molecule with possible actions on glucose metabolism. Interactions to bone metabolism and undercarboxylated osteocalcin (uOC) in diabetic patients (T2DP) with diabetic kidney disease (DKD) have not been reported.
Materials And Methods: We included 51 incident T2DP with DKD.
In a field dominated by external beam radiation therapy (EBRT), both the therapeutic and technical possibilities of brachytherapy (BT) are underrated, shadowed by protons and intensity modulated radiotherapy. Decreasing expertise and indications, as well as increasing lack of specific BT training for radiation therapy (RT) residents led to the real need of shortening its learning curve and making it more popular. Developing robotic BT devices can be a way to mitigate the above issues.
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