Arun Prashanth

Papers

1

Total Citations

11

H-Index

1

About

Arun Prashanth is a clinical researcher at the forefront of interventional radiology and nuclear medicine, with a focused expertise in advanced image-guided biopsy techniques. His major contribution lies in pioneering the use of robotic-assisted computed tomography (CT) guidance combined with 18F-FDG PET/CT data to enhance the diagnostic yield for challenging intrathoracic lesions. In his seminal 2020 study, which has garnered 11 citations, Prashanth demonstrated that this hybrid robotic approach significantly improves target accuracy and tissue sampling success in complex cases, reducing the need for more invasive procedures. This work directly addresses a critical gap in minimally invasive diagnostics for lung and mediastinal pathologies, offering a safer, more precise alternative to conventional CT-guided biopsies. By integrating metabolic imaging with robotic precision, Prashanth’s research has established a new standard for diagnosing space-occupying lesions in the chest, impacting clinical practice at tertiary care centers. His achievements underscore a commitment to translating cutting-edge technology into tangible patient benefits, making him a notable figure in the evolution of interventional oncology and precision medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted computed tomography-guided 18F-FDG PET/computed tomography-directed biopsy for diagnosis of intra thoracic lesions: An experience from a tertiary care centre in North India.
11 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago