The Clinical Application of Fluorescence-Guided Surgery in Head and Neck Cancer
Image Processing
Clinical Trials and Supportive Activities
Clinical Sciences
610
Bioengineering
Rare Diseases
Computer-Assisted
Clinical Research
Image Processing, Computer-Assisted
Humans
Dental/Oral and Craniofacial Disease
Cancer
screening and diagnosis
Optical Imaging
Evaluation of treatments and therapeutic interventions
real-time intraoperative imaging
3. Good health
Detection
Nuclear Medicine & Medical Imaging
Oncology
Surgery, Computer-Assisted
Head and Neck Neoplasms
Biomedical Imaging
Surgery
head and neck cancer
Patient Safety
6.4 Surgery
fluorescence-guided surgery
4.2 Evaluation of markers and technologies
DOI:
10.2967/jnumed.118.222810
Publication Date:
2019-02-07T22:37:56Z
AUTHORS (12)
ABSTRACT
Although surgical resection has been the primary treatment modality of solid tumors for decades, surgeons still rely on visual cues and palpation to delineate healthy from cancerous tissue. This may contribute to the high rate (up to 30%) of positive margins in head and neck cancer resections. Margin status in these patients is the most important prognostic factor for overall survival. In addition, second primary lesions may be present at the time of surgery. Although often unnoticed by the medical team, these lesions can have significant survival ramifications. We hypothesize that real-time fluorescence imaging can enhance intraoperative decision making by aiding the surgeon in detecting close or positive margins and visualizing unanticipated regions of primary disease. The purpose of this study was to assess the clinical utility of real-time fluorescence imaging for intraoperative decision making. Methods: Head and neck cancer patients (n = 14) scheduled for curative resection were enrolled in a clinical trial evaluating panitumumab-IRDye800CW for surgical guidance (NCT02415881). Open-field fluorescence imaging was performed throughout the surgical procedure. The fluorescence signal was quantified as signal-to-background ratios to characterize the fluorescence contrast of regions of interest relative to background. Results: Fluorescence imaging was able to improve surgical decision making in 3 cases (21.4%): identification of a close margin (n = 1) and unanticipated regions of primary disease (n = 2). Conclusion: This study demonstrates the clinical applications of fluorescence imaging on intraoperative decision making. This information is required for designing phase III clinical trials using this technique. Furthermore, this study is the first to demonstrate this application for intraoperative decision making during resection of primary tumors.
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