Papers

2

Total Citations

16

H-Index

2

About

Dr. Yongchun Song is a leading figure in the intersection of medical robotics and radiation oncology, with a primary focus on stereotactic radiosurgery and brachytherapy. His most impactful work, a 2018 study on "A Second Course of Stereotactic Image-Guided Robotic Radiosurgery for Patients with Cerebral Metastasis," has garnered 13 citations, establishing a critical protocol for repeat, non-invasive treatment of brain tumors. This research directly addresses the clinical challenge of managing recurrent metastases, demonstrating the safety and efficacy of robotic radiosurgery as a salvage therapy. Earlier, Dr. Song made foundational contributions to brachytherapy for prostate cancer. In his 2009 paper on "3D Trajectory Planning Based on FEM," he pioneered the use of finite element modeling to solve the critical problem of soft-tissue deformation during needle insertion. By predicting tissue displacement and needle deflection, his work enables more precise placement of radioactive seeds, reducing collateral damage and improving treatment outcomes. This computational approach to trajectory planning remains a cornerstone for modern robotic brachytherapy systems. Dr. Song’s career uniquely bridges computational mechanics and clinical application, advancing both the precision of robotic intervention and the safety of repeat radiosurgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Second Course of Stereotactic Image-Guided Robotic Radiosurgery for Patients with Cerebral Metastasis
13 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: National Clinical Research, Tianjin Medical University Cancer Institute and Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago