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Updated: Feb 12, 2026

A Model for Perineural Invasion in Head and Neck Squamous Cell Carcinoma
Published on: January 5, 2017
A monolithic microsphere-fiber probe for spatially resolved Raman spectroscopy: Application to head and neck squamous
S Holler1, B Haig1, M J Donovan2
1Department of Physics and Engineering Physics, Fordham University, 441 E. Fordham Road, Bronx, New York 10458, USA.
This study introduces a novel Raman spectroscopy probe for precise in vivo cancer margin identification. The microsphere-fiber probe enhances accuracy and speed, optimizing surgical tissue removal and improving patient outcomes.
Area of Science:
- Surgical Oncology
- Biomedical Optics
- Spectroscopy
Background:
- Accurate identification of cancer margins during surgery is crucial for patient well-being.
- Current methods carry risks of removing too much or too little tissue, impacting recovery and prognosis.
- Minimizing operative time and improving tissue excision accuracy are key surgical goals.
Purpose of the Study:
- To investigate the use of Raman spectroscopy with a novel monolithic microsphere-fiber probe for in vivo oral cavity cancer margin identification.
- To assess the probe's capability in differentiating between malignant and healthy tissues.
- To evaluate the probe's potential for optimizing surgical tissue removal and improving patient outcomes.
Main Methods:
- Utilized Raman spectroscopy with a monolithic microsphere-fiber probe.
- Analyzed both malignant and healthy oral cavity tissues in vivo.
- Compared the probe's analyzed area size to conventional fiber reflection probes.
Main Results:
- The microsphere-fiber probe significantly decreased the analyzed area size by over an order of magnitude compared to conventional probes.
- Distinct variations in Raman spectra were observed between malignant and healthy tissues.
- The probe demonstrated the ability to differentiate between cancerous and normal tissue types.
Conclusions:
- The high spatial resolution of the Raman spectroscopy microsphere-fiber probe enables detailed identification of tumor margins.
- This technology has the potential to optimize tissue excision during surgery.
- Improved margin identification is expected to lead to better patient prognoses and outcomes.
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