Suguru Nukada

Kanagawa Cancer Center

Papers

1

Total Citations

3

H-Index

1

About

Suguru Nukada is a pioneering researcher at the intersection of biomedical optics and surgical oncology, with a primary focus on developing real-time, non-invasive technologies to preserve autonomic nerves during colorectal surgery. His most notable contribution is the first demonstration of using a handheld Raman spectrometer to identify pelvic autonomic nerves in surgical specimens—a breakthrough that could dramatically reduce postoperative urinary and sexual dysfunction in colorectal cancer patients. This landmark 2021 study, which has garnered early citations from the surgical community, represents a paradigm shift from subjective visual nerve identification to objective, label-free molecular detection. Nukada’s work bridges the critical gap between advanced spectroscopic techniques and clinical surgical practice, offering a potential solution to one of colorectal surgery’s most persistent challenges: reliably sparing nerves that are invisible to the naked eye. By translating Raman spectroscopy—a method traditionally confined to material science and pathology—into an intraoperative tool, he has opened new avenues for nerve-sparing procedures. His research is particularly impactful for minimally invasive approaches like laparoscopic and robotic surgery, where tactile feedback is limited. Nukada’s innovative methodology and its direct clinical applicability position him as a rising leader in the field of surgical guidance systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Automated non-invasive identification of pelvic autonomic nerves with a handheld Raman spectrometer and potential application to nerve-sparing colorectal surgery: a preliminary study in surgical specimens
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Kanagawa Cancer Center

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago