Nagoya University · Medicine
Professor Toyofumi F. Chen-Yoshikawa's research lab specializes in advancing minimally invasive and image-guided thoracic surgical techniques, with a focus on improving outcomes in lung transplantation, lung cancer surgery, and complex thoracic procedures. The lab pioneers innovative technologies such as 3D-CT-based preoperative simulation, real-time fluorescent image projection mapping, and dynamic surgical simulation systems to enhance precision and safety in anatomic pulmonary resection. A key research direction involves mitigating ischemia-reperfusion injury in lung transplantation and exploring its impact on graft survival and rejection. The lab also investigates novel applications of indocyanine green fluorescence imaging and advanced surgical navigation to improve tumor detection and resection accuracy.
Figures are computed from collected data and may differ slightly.
Lung transplantation has been established worldwide as the last treatment for end-stage respiratory failure. However, ischemia-reperfusion injury (IRI) inevitably occurs after lung transplantation. The most severe form of IRI leads to primary graft failure, which is an important cause of morbidity and mortality after lung transplantation. IRI may also induce rejection, which is the main cause of mortality in recipients. Despite advances in donor management and graft preservation, most donor graf
After the introduction of 3D-CT technology to the field of thoracic surgery, preoperative simulation has been developed for various thoracic procedures. In the near future, this technique will become more common in thoracic surgery, and frequent use by thoracic surgeons will be seen in worldwide daily practice.
We successfully developed a novel dynamic simulation system, the Resection Process Map, for anatomic pulmonary resection.
Lung transplantation for pulmonary complications after HSCT was performed safely and yielded better survival, especially in younger recipients for whom both lung transplantation and HSCT involved the same donor.
Indocyanine green fluorescent image-guided surgery was developed to identify primary and metastatic nodules of various malignancies. However, currently, surgeons need to identify the fluorescent image on a monitor, which impedes surgical procedures. Herein, we developed a novel projection mapping device that can cast the real-time fluorescent image onto the surface of the targeted organ. We performed surgical resection of a lung metastasis of hepatoblastoma using this technique. The projection m
Right-to-left inverted LDLLT is a safe and useful option with encouraging intermediate outcome.
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