Xiaoyue Ma
Papers
2
Total Citations
16
H-Index
2
About
Xiaoyue Ma is a rising leader in interventional pulmonology, whose research focuses on enhancing the precision and safety of robotic-assisted bronchoscopy (RAB) for lung cancer diagnosis. Her work critically addresses the gap between virtual planning and real-world anatomy, particularly through the study of computed tomography-to-body divergence (CTBD). In her landmark 2024 study, she identified key determinants of radiation exposure during mobile cone-beam CT (CBCT)-guided RAB, providing essential benchmarks for patient and staff safety—a work that has already garnered 14 citations. Her 2025 follow-up, "Virtual vs. reality in cone-beam CT-guided robotic-assisted bronchoscopy," further advances the field by characterizing the prevalence and implications of CTBD, highlighting how anatomical shifts can misalign virtual targets with actual lesions. By quantifying these discrepancies, Ma’s contributions are shaping safer, more accurate navigation protocols for minimally invasive lung biopsies. Her research is pivotal for clinicians and engineers seeking to optimize the synergy between robotic systems and real-time imaging, ultimately improving diagnostic yield while minimizing procedural risks.
Research Focus
Key Achievements
Top Papers
- 1
- 2Virtual vs. reality in cone-beam CT-guided robotic-assisted bronchoscopy2 citations · 2025