ABSTRACT
BACKGROUND: Fluorescence-guided surgery (FGS) can help surgeons to discriminate tumor tissue from adjacent normal tissues using fluorescent tracers. METHODS: We developed a surgical training model, manufactured using sustainable vegetable organic material with indocyanine green (ICG)-containing "tumor." Surgeons evaluated the model with both the closed-field and endoscopic fluorescence imaging devices and assessed its efficacy to identify residual tumor after enucleation using electrocautery. RESULTS: Strong correlations of fluorescence were obtained at all working distance (3, 5, 7, and 10 cm), showing the robustness of fluorescence signal for the closed-field and endoscopic fluorescence imaging devices. The higher fluorescence signals were obtained in the wound bed in the closed-field fluorescence imaging device and the residual tumor could be clearly identified by fluorescence endoscopy. CONCLUSIONS: Our FGS training model may provide experience for surgeons unfamiliar with optical surgery and subsequent tissue interactions. The model seemed particularly helpful in teaching surgeons the principles of FGS.
Subject(s)
Indocyanine Green , Optical Imaging , Surgery, Computer-Assisted , Humans , Optical Imaging/methods , Surgery, Computer-Assisted/education , Surgery, Computer-Assisted/methods , Endoscopy/education , Neoplasms/surgery , FluorescenceABSTRACT
Objective: To determine the efficacy of a surgical training model for fluorescence-guided cancer surgery and validate its utility to detect any residual tumors after tumor resection using electrocautery. Methods: We developed surgical training models containing indocyanine green (ICG) for near-infrared (NIR) fluorescence imaging using a root vegetable organic material (konjac). After the fluorescence assessment for the models, the surgical simulation for fluorescence-guided cancer surgery using electrocautery was performed. ICG-containing tumors were divided into two surgical groups: "Enucleation" (removal of the entire visible tumor) and "Complete resection" (removal of the tumor with an appropriate 5-mm surgical margin). Results: All 12 ICG-containing tumors were clearly visible from the normal view but not from the flipped view. The tumor resection time was significantly longer in the "Complete resection" group than in the "Enucleation" group (p < .001). The ICG-containing tumors showed a high tumor-to background ratio from the normal (average = 45.8) and flipped (average = 19.2) views, indicating that the models including ICG-containing tumors were useful for a surgical simulation in fluorescence-guided surgery. The average mean fluorescence intensity of the wound bed was significantly higher in the "Enucleation" group than in the "Complete resection" group (p < .01). No decrease in fluorescence signal was found in the wound bed even at 2 days postresection. Conclusion: Our surgical training model containing a fluorescent agent is safe, inexpensive, not harmful for humans, and easy to dispose after use. Our model would be beneficial for surgeons to learn NIR fluorescence imaging and to accelerate fluorescence-guided cancer surgery into clinical application.
ABSTRACT
INTRODUCTION: While exposure of surgeons and other staff to surgical smoke is an increasing health risk concern, there is a similar risk for users in surgical simulation and training. This study was undertaken to determine the chemical composition of smoke produced from a novel training model, Versatile Training Tissue (VTT), which is used for surgical simulation and training, and to compare this with smoke from a chemosynthetic model and porcine muscle and liver. METHODS: A variety of models (VTT, polyvinyl alcohol, porcine muscle and liver) were prepared and cauterized. Identification of chemical substances in smoke was performed using gas chromatography-mass spectrometry. Quantitative instrumental analysis was implemented with gas chromatography-mass spectrometry and high-performance liquid chromatography. A convenient analysis was performed with a general smoke tube kit. RESULTS: The main chemical components of smoke produced from VTT models include water and carbon dioxide. A small number of organic compounds were detected. Versatile Training Tissue models produced smoke with fewer compounds than smoke from a chemosynthetic model or porcine muscle. CONCLUSIONS: The concentration of organic compounds from VTT models is considered to be below relevant health risk limits and lower than from polyvinyl alcohol and porcine muscle models. Although porcine liver smoke contains less of the main organic compounds of concern than a KM, it contains potentially hazardous nitrile compounds that are absent in KM smoke. Therefore, surgical simulation and training with VTT models should be considered relatively safe for trainees.