Amir Abolhoda
Papers
2
Total Citations
21
H-Index
2
About
Dr. Amir Abolhoda is a pioneering thoracic surgeon whose research focuses on advancing minimally invasive surgical techniques for lung cancer treatment, particularly through robotic-assisted approaches. His major contributions center on characterizing the learning curve and clinical outcomes associated with robotic lobectomy for early-stage non-small cell lung cancer. In his landmark 2018 study, which has garnered 16 citations, Dr. Abolhoda demonstrated that a thoracic surgeon already adept in open lobectomy can safely transition to robotic platforms, achieving proficiency after approximately 50 cases while maintaining excellent patient outcomes. More recently, his innovative 2022 pilot study (5 citations) explored the use of resting physiologic dead space as a novel predictor of postoperative pulmonary complications following robotic-assisted lung resection, offering a simpler alternative to traditional cardiopulmonary exercise testing. This work has significant implications for preoperative risk stratification in patients with compromised lung function. Dr. Abolhoda’s research bridges the gap between established surgical expertise and emerging robotic technologies, helping to define best practices for adopting complex minimally invasive procedures while prioritizing patient safety and outcomes in thoracic oncology.
Research Focus
Key Achievements
Top Papers
- 1
- 2