Papers

2

Total Citations

6

H-Index

2

About

Farahna Sabiq is advancing the frontier of minimally invasive head-and-neck cancer treatment through her pioneering work in image-guided transoral robotic surgery (TORS). Her research focuses on integrating real-time ultrasound and MRI guidance to enhance surgical precision in the oropharynx—a challenging anatomical region with restricted access. In her 2023 study, "Towards transcervical ultrasound image guidance for transoral robotic surgery" (4 citations), she demonstrated the potential of ultrasound to provide dynamic, intraoperative visualization, reducing reliance on preoperative imaging alone. Her complementary work, "Feasibility of MRI-US registration in oropharynx for transoral robotic surgery" (2 citations), established a framework for fusing MRI and ultrasound data, enabling surgeons to navigate complex tissue planes with greater accuracy. By addressing the critical need for real-time feedback during TORS, Sabiq’s contributions aim to lower operative morbidity and the risk of reconstructive complications. Her research, though early in citation impact, represents a foundational step toward safer, more effective robotic surgeries for head-and-neck cancer patients.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Towards transcervical ultrasound image guidance for transoral robotic surgery
4 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Vancouver General Hospital, University of British Columbia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago