Mapping tissue optical attenuation to identify cancer using optical coherence tomography.

Area of Science:

• Oncology
• Biomedical Optics
• Surgical Pathology

Background:

• The lymphatic system is a primary pathway for cancer metastasis.
• Accurate identification of lymph node metastases is crucial in cancer surgery.
• Current methods for lymph node assessment can be time-consuming and invasive.

Purpose of the Study:

• To demonstrate the utility of optical coherence tomography (OCT) for creating parametric images of lymph nodes.
• To develop and validate an automated method for estimating the optical attenuation coefficient of tissue.
• To differentiate cancerous from healthy lymph node tissue based on optical properties.

Main Methods:

• Utilized optical coherence tomography (OCT) to scan ex vivo human axillary lymph node samples.
• Developed an algorithm to automatically estimate the optical attenuation coefficient at each point within the OCT scan.
• Constructed parametric images by mapping the estimated optical attenuation coefficient.
• Validated the OCT-derived parametric images against histological analysis (gold standard).

Main Results:

• Parametric imaging successfully visualized variations in optical properties within lymph nodes.
• The method effectively distinguished between cancerous and healthy tissue based on optical attenuation coefficients.
• Results demonstrated significant differences in optical properties between malignant and benign lymph node tissues.

Conclusions:

• Optical coherence tomography (OCT) provides a valuable tool for non-invasive, real-time assessment of lymph node tissue.
• Automated estimation of optical attenuation coefficient enables objective differentiation of cancerous tissue.
• This technique holds potential for improving intraoperative detection of lymph node metastases during cancer surgery.