Papers
7
Total Citations
62
H-Index
4
About
Daniele Forcella is a thoracic surgeon whose research sits at the forefront of minimally invasive and robotic-assisted surgery for non-small cell lung cancer (NSCLC). His work centers on evaluating robotic lobectomy as an alternative to traditional thoracotomy and video-assisted thoracic surgery (VATS), with a consistent focus on oncological outcomes, lymph node staging, and perioperative safety. His most cited contribution, a 2021 retrospective analysis comparing nodal upstaging across surgical approaches (28 citations), helped clarify the oncological equivalence of robotic techniques in early-stage NSCLC. Subsequent studies have expanded this evidence base, examining long-term oncological outcomes, surgical performance in elderly patients, and the application of fluorescence-guided technology for intraoperative nodule identification — a particularly valuable innovation in robotic settings where tactile feedback is limited. Forcella has also contributed technical refinements, including the "tunnel technique" for fissureless lobectomy, and explored multimodal anesthesia strategies for postoperative pain management. His more recent work extends robotic surgery into the neoadjuvant treatment setting for locally advanced disease. Collectively, his publications reflect a systematic effort to optimize and validate robotic thoracic surgery across increasingly complex clinical scenarios.
Research Focus
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Top Papers
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