期刊
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
卷 44, 期 8, 页码 1765-1776出版社
WILEY
DOI: 10.1002/hed.27078
关键词
cancer delineation; endogenous autofluorescence; fluorescence lifetime imaging (FLIm); intraoperative surgical guidance; machine learning in oncology applications; occult primary tumor; oropharyngeal cancer of unknown primary origin; p16+squamous cell carcinoma; transoral robotic surgery
资金
- National Institutes of Health [R01 CA187427]
This study evaluated whether FLIm could enhance primary lesion detection in p16+ HNSCCUP patients. The results showed that FLIm had high accuracy in detecting HNSCCUP and may be a useful diagnostic adjunct.
Background This study evaluated whether fluorescence lifetime imaging (FLIm), coupled with standard diagnostic workups, could enhance primary lesion detection in patients with p16+ head and neck squamous cell carcinoma of the unknown primary (HNSCCUP). Methods FLIm was integrated into transoral robotic surgery to acquire optical data on six HNSCCUP patients' oropharyngeal tissues. An additional 55-patient FLIm dataset, comprising conventional primary tumors, trained a machine learning classifier; the output predicted the presence and location of HNSCCUP for the six patients. Validation was performed using histopathology. Results Among the six HNSCCUP patients, p16+ occult primary was surgically identified in three patients, whereas three patients ultimately had no identifiable primary site in the oropharynx. FLIm correctly detected HNSCCUP in all three patients (ROC-AUC: 0.90 +/- 0.06), and correctly predicted benign oropharyngeal tissue for the remaining three patients. The mean sensitivity was 95% +/- 3.5%, and specificity 89% +/- 12.7%. Conclusions FLIm may be a useful diagnostic adjunct for detecting HNSCCUP.
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