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Autofluorescence imaging guided needle-type Raman spectroscopy system for breast tumor margin assessment
Optics Letters
|November 27, 2024
Summary
A novel system combines near-infrared autofluorescence imaging and Raman spectroscopy for rapid breast cancer margin assessment. This technology aids surgeons in distinguishing tumor margins during operations, improving patient outcomes.
Area of Science:
- Biomedical Engineering
- Optical Imaging
- Spectroscopy
Background:
- Accurate intraoperative assessment of breast tumor margins is crucial for effective surgical treatment.
- Current methods for margin assessment can be time-consuming, potentially leading to incomplete tumor removal or unnecessary tissue excision.
Purpose of the Study:
- To develop and validate a novel trajectory-tracked, near-infrared autofluorescence imaging guided, biochemical signature-projected needle-type Raman spectroscopy (TNBN-RS) system.
- To enable rapid, wide-field breast tissue stratification and intraoperative tumor margin assessment.
Main Methods:
- Development of a wide-field near-infrared autofluorescence (NIRAF) imaging subsystem for gross tissue stratification.
- Integration of a compact projector to overlay NIRAF-identified tumor margins onto the tissue.
- Utilization of a needle-type Raman probe with trajectory tracking for biochemical signature acquisition and margin assessment.
- Implementation of a field of view (FOV) calibration method for projection accuracy <2 mm.
- Development of a C# graphical user interface (GUI) for system control and real-time data display.
Main Results:
- The TNBN-RS system successfully performed wide-field breast tissue stratification using NIRAF intensity.
- Tumor margins identified by NIRAF were accurately projected onto the tissue with <2 mm accuracy.
- Raman spectroscopy provided biochemical signature-based margin assessment in real-time.
- System performance was validated on ex vivo breast tissue, demonstrating feasibility.
Conclusions:
- The developed TNBN-RS system offers a promising solution for rapid intraoperative breast tumor margin assessment.
- The integration of NIRAF imaging and Raman spectroscopy enables efficient and accurate identification of tumor margins.
- This technology has the potential to improve surgical decision-making and patient outcomes in breast cancer surgery.
