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Tissue-simulating Phantoms for Assessing Potential Near-infrared Fluorescence Imaging Applications in Breast Cancer Surgery
Published on: September 19, 2014
Autofluorescence and diffuse reflectance spectroscopy and spectral imaging for breast surgical margin analysis
Matthew D Keller1, Shovan K Majumder, Mark C Kelley
1Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA.
Lasers in Surgery and Medicine
|January 16, 2010
Summary
This study shows that autofluorescence and diffuse reflectance spectroscopy can accurately assess breast cancer margins during surgery. Spectral imaging offers a promising non-invasive tool for real-time margin evaluation, improving patient outcomes.
Area of Science:
- Oncology
- Medical Spectroscopy
- Surgical Pathology
Background:
- Breast conserving therapy is common for early-stage breast cancer.
- Accurate margin assessment is crucial to prevent local tumor recurrence.
- Current methods for margin evaluation are not real-time or non-invasive.
Purpose of the Study:
- To evaluate autofluorescence and diffuse reflectance spectroscopy for intraoperative margin status assessment.
- To determine the efficacy of spectral imaging in identifying tumor margins.
Main Methods:
- Spectral measurements were collected from excised breast tissue during partial mastectomies.
- A total of 145 normal and 34 tumor spectra were analyzed.
- Multivariate statistical algorithms were developed for spectral classification.
Main Results:
- A statistical algorithm achieved 85% sensitivity and 96% specificity in classifying margins as normal or tumor.
- A separate algorithm distinguished between chemotherapy-treated and non-treated tissues with 100% accuracy.
- Spectral imaging successfully demarcated calcified lesions on resected specimens.
Conclusions:
- Fluorescence and reflectance spectroscopy show potential as valuable tools for intraoperative margin assessment.
- Spectral imaging can provide comprehensive margin evaluation in a single acquisition.
- This technology could enhance surgical precision and reduce local recurrence rates in breast cancer treatment.
