Publications by authors named "Jenna Silberstein"
Cardiovascular CT is being widely used in the diagnosis of cardiovascular disease due to the rapid technological advancements in CT scanning techniques. These advancements include the development of multi-slice CT, from early generation to the latest models, which has the capability of acquiring images with high spatial and temporal resolution. The recent emergence of photon-counting CT has further enhanced CT performance in clinical applications, providing improved spatial and contrast resolution.
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- Osteoporotic vertebral fractures (OVFs) often go undetected in chest radiographs, especially in post-menopausal women over 60, necessitating an effective detection tool.
- The study evaluated the AI tool Ofeye 1.0's performance in identifying OVFs on lateral chest x-rays, finding that it detected missed fractures in 28.8% of cases and had improved sensitivity compared to original radiologist reports.
- While Ofeye 1.0 showed high specificity (92.8%) and moderate overall accuracy (80.3%), its lower sensitivity (49%) indicates it should be used as a complementary tool alongside traditional radiology.
Three-dimensional (3D) printing plays an important role in cardiovascular disease through the use of personalised models that replicate the normal anatomy and its pathology with high accuracy and reliability. While 3D printed heart and vascular models have been shown to improve medical education, preoperative planning and simulation of cardiac procedures, as well as to enhance communication with patients, 3D bioprinting represents a potential advancement of 3D printing technology by allowing the printing of cellular or biological components, functional tissues and organs that can be used in a variety of applications in cardiovascular disease. Recent advances in bioprinting technology have shown the ability to support vascularisation of large-scale constructs with enhanced biocompatibility and structural stability, thus creating opportunities to replace damaged tissues or organs.
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