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Imaging guidance for cholesteatoma surgery using tissue autofluorescence
Stella Yang1, Joyce Farrell2, Shenglin Ye1
1Stanford University School of Medicine, Department of Otolaryngology - Head and Neck Surgery, Stanford, California, United States.
Journal of Biomedical Optics
|June 19, 2023
Summary
This study developed a fluorescence imaging system to differentiate cholesteatoma from middle ear mucosa. The system enhances surgical visualization, aiming to reduce cholesteatoma recurrence by improving tissue removal.
Area of Science:
- Otolaryngology
- Biomedical Imaging
- Optical Spectroscopy
Background:
- Cholesteatoma is a destructive middle ear lesion with high recurrence rates due to difficulties in distinguishing it from surrounding mucosa.
- Accurate differentiation of cholesteatoma margins is crucial for complete surgical excision and preventing recidivism.
Purpose of the Study:
- To develop an imaging system capable of enhancing the visibility of cholesteatoma tissue and its margins during surgical procedures.
- To enable more precise surgical removal of cholesteatoma by improving intraoperative tissue differentiation.
Main Methods:
- Excised cholesteatoma and middle ear mucosa tissues were illuminated with narrowband lights (405, 450, 520 nm).
- Spectroradiometric measurements and digital imaging using a red-green-blue (RGB) camera with longpass filters were employed.
- A prototype fluorescence imaging system was constructed using a 495 nm longpass filter and an RGB camera.
Main Results:
- Cholesteatoma tissue exhibited fluorescence under 405 nm and 450 nm illumination, while middle ear mucosa did not.
- Spectroradiometric data indicated that cholesteatoma fluorescence is predictable by emissions from keratin and flavin adenine dinucleotide.
- The prototype system successfully captured calibrated images distinguishing cholesteatoma from mucosa based on autofluorescence.
Conclusions:
- A prototype fluorescence imaging system was successfully developed for measuring cholesteatoma tissue autofluorescence.
- This technology holds promise for improving surgical outcomes in cholesteatoma management by enhancing tissue visualization.

