ArticleIEEE transactions on bio-medical engineering2021
Intraoperative Margin Assessment in Oral and Oropharyngeal Cancer Using Label-Free Fluorescence Lifetime Imaging and Machine Learning.
Article in IEEE transactions on bio-medical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.
- Flexible intraoperative detectors for robotic and laparoscopic image-guided surgery: a systematic review.European journal of nuclear medicine and molecular imaging · 2026Pooled it
- Intraoperative Mapping of Parathyroid Glands Using Fluorescence Lifetime Imaging.The Journal of surgical research · 2021Trial
- Effects of surgical resection on tissue autofluorescence lifetime signatures in head and neck cancer: implications for intraoperative tumor margin assessment.Journal of biomedical optics · 2026Article
- Considerations for transoral robotic surgery with fluorescence imaging: a narrative review.Journal of robotic surgery · 2026Review
- Article
- Artificial Intelligence in Head and Neck Surgical Oncology: A State-of-the-Art Review.Journal of clinical medicine · 2026Review
- Hidden in visible light: spectral-temporal unmixing of lung tissue autofluorescence in a fibre-based system.Biomedical optics express · 2026Article
- Machine Learning-Based Fluorescence Assessment for Augmented Imaging and Decision Support in Glioblastoma Resections.Cancers · 2026Article
- Label-free fluorescence lifetime imaging can distinguish cancer from healthy tissue in spontaneously occurring canine oral tumors.Scientific reports · 2026Article
- Autofluorescence and deep learning in early disease detection: biological foundations, clinical applications, and future directions.Frontiers in artificial intelligence · 2026Review
- Non-invasive Imaging Techniques: From Histology to In-vivo Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- Optical express-biopsy of gliomas using macroscopic fluorescence lifetime imaging.Biomedical optics express · 2025Article
- Identification of colorectal malignancies enabled by phasor-based autofluorescence lifetime macroimaging and ensemble learning.Biophotonics discovery · 2025Article
- Dual-excitation multispectral fluorescence lifetime imaging handheld endoscope for label-free metabolic and biochemical imaging of the oral mucosa.Optics letters · 2025Article
- Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next.Proceedings. IEEE International Symposium on Computer-Based Medical Systems · 2025Article
- AI and machine learning in paediatric spine deformity surgery.Bone & joint open · 2025Article
- FLIMB: fluorescence lifetime microendoscopy for metabolic and functional imaging of femoral marrow at subcellular resolution.Biomedical optics express · 2025Article
- Widefield frequency-domain autofluorescence lifetime imaging for detecting breast cancer in murine xenograft tumor tissues.Journal of biomedical optics · 2025Article
- The Impact of Artificial Intelligence on Cancer Diagnosis and Treatment: A Review.Cancer informatics · 2025Review
- Perspective on the use of fluorescence molecular imaging for peripheral and deepJournal of biomedical optics · 2025Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo demonstrate the diagnostic ability of label-free, point-scanning, fiber-based Fluorescence Lifetime Imaging (FLIm) as a means of intraoperative guidance during oral and oropharyngeal cancer removal surgery.
methodsFLIm point-measurements acquired from 53 patients (n = 67893 pre-resection in vivo, n = 89695 post-resection ex vivo) undergoing oral or oropharyngeal cancer removal surgery were used for analysis. Discrimination of healthy tissue and cancer was investigated using various FLIm-derived parameter sets and classifiers (Support Vector Machine, Random Forests, CNN). Classifier output for the acquired set of point-measurements was visualized through an interpolation-based approach to generate a probabilistic heatmap of cancer within the surgical field. Classifier output for dysplasia at the resection margins was also investigated.
resultsStatistically significant change (P 0.01) between healthy and cancer was observed in vivo for the acquired FLIm signal parameters (e.g., average lifetime) linked with metabolic activity. Superior classification was achieved at the tissue region level using the Random Forests method (ROC-AUC: 0.88). Classifier output for dysplasia (% probability of cancer) was observed to lie between that of cancer and healthy tissue, highlighting FLIm's ability to distinguish various conditions.
conclusionThe developed approach demonstrates the potential of FLIm for fast, reliable intraoperative margin assessment without the need for contrast agents. SIGNIFICANCE: Fiber-based FLIm has the potential to be used as a diagnostic tool during cancer resection surgery, including Transoral Robotic Surgery (TORS), helping ensure complete resections and improve the survival rate of oral and oropharyngeal cancer patients.
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Registered trials
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