Detecting infiltrative edges of brain tumors using label-free intraoperative FLIm

Mohamed A. Hassan; Silvia N. Noble Anbunesan; Alba Alfonso García; Matthew Bobinski; Han S. Lee; Lee-Way Jin; Orin Bloch; Laura Marcu

doi:10.1117/12.3003609

13 March 2024 Detecting infiltrative edges of brain tumors using label-free intraoperative FLIm

Mohamed A. Hassan, Silvia N. Noble Anbunesan, Alba Alfonso García, Matthew Bobinski, Han S. Lee, Lee-Way Jin, Orin Bloch, Laura Marcu

Author Affiliations +

Proceedings Volume PC12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII; PC1283102 (2024) https://doi.org/10.1117/12.3003609
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Accurate detection of brain tumor boundaries is crucial for successful tumor removal and better patient outcomes. A novel method using label-free Fluorescence Lifetime Imaging (iFLIm) is presented in this study. The approach involved developing an optimized classification model based on tumor enhancement status, utilizing multispectral FLIm. The method was evaluated on 52 patients with adult-type diffuse glioma, demonstrating promising results with 87% sensitivity, 92% specificity, and an AUC of 0.90. This FLIm-based model has the potential to offer a non-invasive and real-time technique to assist neurosurgeons in accurately identifying tumor infiltrates, potentially improving tumor resection and patient outcomes.

Conference Presentation

Citation Download Citation

Mohamed A. Hassan, Silvia N. Noble Anbunesan, Alba Alfonso García, Matthew Bobinski, Han S. Lee, Lee-Way Jin, Orin Bloch, and Laura Marcu "Detecting infiltrative edges of brain tumors using label-free intraoperative FLIm", Proc. SPIE PC12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII, PC1283102 (13 March 2024); https://doi.org/10.1117/12.3003609

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