Supporting scientific research
Erasmus MC
In short, Amir Hossein Sadeghi's research entails the following:
Lung cancer, the leading cause of cancer-related deaths, includes rare neuroendocrine tumors (NETs) that have favorable outcomes when treated adequately. While (anatomical) resection, such as lobectomy or segmentectomy, remains the gold standard for treating NETs and the more prevalent early-stage non-small cell lung cancer (NSCLC), segmentectomy offers comparable survival rates to lobectomy but with improved lung function, making it potentially a better option for patients with comorbidities or future treatment needs.
Compared to lobectomies, segmentectomy presents technical challenges, particularly in robotic-assisted minimally invasive surgery, due to the need for precise identification of patient-specific segmental vascular and bronchial anatomy. Distinguishing segmental borders—which are difficult to see on conventional 2D-CT scans—is critical for appropriate patient selection and surgical planning. Conventional imaging methods struggle to account for intraoperative lung deformations (e.g. surgical manipulation), making these models unsuitable for intra-operative anatomical guidance.
The IMAGINERS project addresses these challenges by developing an AI-driven platform integrating deep learning and dynamic 3D-simulated models for preoperative planning and intraoperative guidance. By enabling real-time 3D model adjustments to match surgical views, this framework aims to enable imaging-guided robotic lung surgery. In addition, our goal is to enhance surgical precision/safety, and to expand the use of segmentectomy, ultimately improving outcomes for patients with rare lung tumors and early-stage NSCLC.
The IMAGINERS project is a multidisciplinary collaboration led by Dr. Sadeghi (cardiothoracic surgeon) at UMC Utrecht, with technical contributions from Dr. Yasmina Al Khalil and Dr. Ruisheng Su at TU Eindhoven. The initiative also involves several Dutch and European partner institutions, focusing on advancing robotic-assisted lung surgery through innovative technologies and methodologies.