Characterization of breast tumors with NIR methods using optical indices

Area of Science:

• Biomedical Optics
• Medical Imaging
• Cancer Diagnostics

Background:

• Accurate breast tumor characterization is crucial for effective treatment.
• Near-infrared (NIR) spectroscopy offers a non-invasive method for assessing tissue optical properties.
• Distinguishing between benign and malignant breast tumors remains a clinical challenge.

Purpose of the Study:

• To evaluate the efficiency of in vivo near-infrared (NIR) spectroscopy for characterizing breast tumors.
• To determine the diagnostic performance of specific optical properties (relative blood concentration, oxygen saturation, tumor size) in differentiating tumor types.
• To assess the effectiveness of various classifiers in analyzing these spectroscopic features.

Main Methods:

• In vivo near-infrared (NIR) spectroscopy measurements were performed on 116 patients (44 malignant, 72 benign tumors).
• Key features extracted included relative blood concentration, oxygen saturation, and tumor size.
• Performance evaluation involved multiple classifiers, including the scaled nearest mean classifier (NMSC).

Main Results:

• The scaled nearest mean classifier (NMSC) achieved an area under the receiver operating characteristics (ROC) curve of 0.91 (p=0.05).
• Relative blood concentration and oxygen saturation were identified as significant features for tumor differentiation.
• The combined features demonstrated high precision in distinguishing between benign and malignant breast tumors.

Conclusions:

• In vivo NIR spectroscopy, utilizing relative blood concentration and oxygen saturation, provides a precise method for breast tumor characterization.
• The findings support the potential of NIR spectroscopy as a valuable tool in the non-invasive diagnosis of breast cancer.
• Further clinical validation can enhance the role of optical properties in breast tumor management.