Breast Tumor Analysis Using Shifted-Excitation Raman Difference Spectroscopy (SERDS)

Area of Science:

• Biomedical Optics
• Spectroscopy
• Medical Diagnostics

Background:

• Accurate breast tissue classification is crucial for diagnosis.
• Conventional histopathology can be time-consuming.
• Raman spectroscopy offers label-free chemical information.

Purpose of the Study:

• To evaluate shifted-excitation Raman difference spectroscopy (SERDS) for ex vivo breast tissue classification.
• To differentiate between normal, fibroadenoma, and invasive carcinoma tissues.
• To assess SERDS performance against histopathology.

Main Methods:

• Utilized SERDS with 784/785 nm excitation on resected, formalin-fixed breast tissues.
• Analyzed 8 invasive carcinoma and 3 fibroadenoma samples (240 measurements each).
• Applied principal component analysis and linear discriminant analysis for spectral classification.

Main Results:

• SERDS successfully differentiated normal from tumor tissues.
• Pure Raman spectra isolated via SERDS enabled fibroadenoma/carcinoma distinction.
• Invasive carcinoma identified with 99.15% sensitivity; absence with 90.40% specificity.
• Tumor tissue detection achieved 100% sensitivity and specificity.

Conclusions:

• SERDS is a promising technique for ex vivo breast tissue analysis.
• The method provides high sensitivity and specificity in classifying breast pathologies.
• SERDS has the potential to augment histopathological diagnosis in breast pathology.