Fluorescence Spectroscopy for Real‐Time Intraoperative Detection of Middle‐Ear Cholesteatoma
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2026
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| author | Joackim Mahdjoub Olivier Gaiffe Riham Altaisan Nikolaos Zirganos Nicolas Passilly Bruno Wacogne Emmanuel Ramasso Laurent Tavernier |
| author_facet | Joackim Mahdjoub Olivier Gaiffe Riham Altaisan Nikolaos Zirganos Nicolas Passilly Bruno Wacogne Emmanuel Ramasso Laurent Tavernier Joackim Mahdjoub Olivier Gaiffe Riham Altaisan Nikolaos Zirganos Nicolas Passilly Bruno Wacogne Emmanuel Ramasso Laurent Tavernier |
| collection | Wiley Open Access |
| contents | Fluorescence Spectroscopy for Real‐Time Intraoperative Detection of Middle‐Ear Cholesteatoma Joackim Mahdjoub Olivier Gaiffe Riham Altaisan Nikolaos Zirganos Nicolas Passilly Bruno Wacogne Emmanuel Ramasso Laurent Tavernier Otolaryngology–Head and Neck Surgery Abstract Objective To evaluate whether autofluorescence spectroscopy (AFS) can reliably distinguish cholesteatoma from surrounding middle‐ear tissues, and to develop a real‐time intraoperative diagnostic tool. Study Design Prospective ex vivo study. Setting Besançon University Hospital, France (tertiary care center). Methods In this prospective ex vivo study, middle‐ear tissue biopsies were collected during cholesteatoma surgeries and analyzed using autofluorescence following 405‐nm laser excitation. Each sample was classified based on its spectral signature and confirmed by histopathology. A computer‐assisted model was applied to differentiate cholesteatoma from noncholesteatoma tissues, and its performance was assessed using standard cross‐validation. Results Thirty‐six tissue samples from 23 patients were analyzed, generating nearly 3800 fluorescence spectra. The model correctly classified all samples, achieving 94.5% accuracy, 94.7% sensitivity, and 94.2% specificity. The system provided consistent performance across tissue types and returned results in real time, with a response time of 0.1 seconds per sample. Each output included a probability score indicating the likelihood of cholesteatoma presence. Conclusion AFS demonstrated high accuracy in distinguishing cholesteatoma from other middle‐ear tissues. Its speed, simplicity, and probabilistic feedback suggest strong potential for real‐time intraoperative use. Once validated in vivo, this technology could assist surgeons by improving tissue discrimination and potentially reducing recurrence rates. 10.1002/ohn.70207 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/ohn.70207 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_ohn_70207 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2026 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Fluorescence Spectroscopy for Real‐Time Intraoperative Detection of Middle‐Ear Cholesteatoma Joackim Mahdjoub Olivier Gaiffe Riham Altaisan Nikolaos Zirganos Nicolas Passilly Bruno Wacogne Emmanuel Ramasso Laurent Tavernier Otolaryngology–Head and Neck Surgery Fluorescence Spectroscopy for Real‐Time Intraoperative Detection of Middle‐Ear Cholesteatoma Joackim Mahdjoub Olivier Gaiffe Riham Altaisan Nikolaos Zirganos Nicolas Passilly Bruno Wacogne Emmanuel Ramasso Laurent Tavernier Otolaryngology–Head and Neck Surgery Abstract Objective To evaluate whether autofluorescence spectroscopy (AFS) can reliably distinguish cholesteatoma from surrounding middle‐ear tissues, and to develop a real‐time intraoperative diagnostic tool. Study Design Prospective ex vivo study. Setting Besançon University Hospital, France (tertiary care center). Methods In this prospective ex vivo study, middle‐ear tissue biopsies were collected during cholesteatoma surgeries and analyzed using autofluorescence following 405‐nm laser excitation. Each sample was classified based on its spectral signature and confirmed by histopathology. A computer‐assisted model was applied to differentiate cholesteatoma from noncholesteatoma tissues, and its performance was assessed using standard cross‐validation. Results Thirty‐six tissue samples from 23 patients were analyzed, generating nearly 3800 fluorescence spectra. The model correctly classified all samples, achieving 94.5% accuracy, 94.7% sensitivity, and 94.2% specificity. The system provided consistent performance across tissue types and returned results in real time, with a response time of 0.1 seconds per sample. Each output included a probability score indicating the likelihood of cholesteatoma presence. Conclusion AFS demonstrated high accuracy in distinguishing cholesteatoma from other middle‐ear tissues. Its speed, simplicity, and probabilistic feedback suggest strong potential for real‐time intraoperative use. Once validated in vivo, this technology could assist surgeons by improving tissue discrimination and potentially reducing recurrence rates. 10.1002/ohn.70207 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Fluorescence Spectroscopy for Real‐Time Intraoperative Detection of Middle‐Ear Cholesteatoma |
| topic | Otolaryngology–Head and Neck Surgery |
| url | https://aao-hnsfjournals.onlinelibrary.wiley.com/doi/10.1002/ohn.70207 |