Exploring Effective Diagnostic and Therapeutic Strategies for Deep Vein Thrombosis in High-Risk Patients: A Study

Blood clots formed in blood vessels are termed as Thrombus. The pivotal strategy in diagnosing the early-stage thrombus, plays a vital role. Most commonly, blood clot occurs in the calf muscles of the lower extremities which leads to Deep Vein Thrombosis (DVT). Vulnerable patients are those who are involved in prolonged bed rest post-surgery, and the patients who are already affected with stroke, acute ischemia, cerebral palsy, etc. According to a report by the World Health Organization (WHO), nearly 900,000 people are affected annually, with approximately 100,000 dies each year At present blood clots can be identified using blood tests such as D-dimer blood tests, Cardiac Biomarkers and some imaging modalities like Doppler ultrasound, venography, Magnetic resonance imaging (MRI), computed tomography (CT). We have elaborately discussed the importance of emphasizing diagnostic yield and incidence of DVT, focusing on the risk factors available for DVT diagnostic and therapeutic techniques. The research addresses DVT incidence, diagnostic strategies, and therapeutic interventions; the efficacy of VR rehabilitation and treatment modalities; challenges related to artificial intelligence (AI)-based treatments; and explores the potential benefits of different game types in DVT management. This study aims to bridge the gap between research and real-time application by providing a wide range of strategies that comprise both basic and state-of-the-art techniques. It is a vital source for researchers and experts, providing perceptions into the effective development of advanced medical devices. The study concludes with a summary of point-of-care diagnosis, rehab therapy, and an exploration of various game types, providing future insights.

@article{B2024,
  title     = {Exploring Effective Diagnostic and Therapeutic Strategies for Deep Vein Thrombosis in High-Risk Patients: A Study},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {7},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Pavihaa Lakshmi B and Vidhya S},
  doi       = {10.14569/IJACSA.2024.01507136},
  url       = {https://doi.org/10.14569/IJACSA.2024.01507136}
}