Optical scanning for rapid intraoperative diagnosis of sentinel node metastases in breast cancer

Author:

Keshtgar M R S1,Chicken D W12,Austwick M R2,Somasundaram S K12,Mosse C A2,Zhu Y23,Bigio I J4,Bown S G2

Affiliation:

1. Department of Surgery, Royal Free and University College Medical School, University College London, London, UK

2. National Medical Laser Centre, Royal Free and University College Medical School, University College London, London, UK

3. Department of Statistical Science, Royal Free and University College Medical School, University College London, London, UK

4. Department of Biomedical Engineering and Electrical Engineering, Boston University, Boston, Massachusetts, USA

Abstract

Abstract Background Intraoperative diagnosis of sentinel node metastases enables an immediate decision to proceed to axillary lymph node dissection, avoiding a second operation in node-positive women with breast cancer. Methods An optical scanner was developed that interrogated the cut surface of bivalved, but otherwise unprocessed, sentinel lymph nodes with pulses of white light by elastic scattering spectroscopy (ESS). The scattered light underwent spectral analysis, and individual spectra were initially correlated with conventional histology to develop a diagnostic algorithm. This algorithm was used to create false colour-coded maps of scans from an independent set of nodes, and the optimal criteria for discriminating between normal and cancer spectra were defined statistically. Results The discriminant algorithm was developed from a training set of 2989 spectra obtained from 30 metastatic and 331 normal nodes. Subsequent scans from 129 independent nodes were analysed. The scanner detected macrometastases (larger than 2 mm) with a sensitivity of 76 per cent (69 per cent including micrometastases) and specificity of 96 per cent. Conclusion In this proof-of-principle study, the ESS results were comparable with current intraoperative diagnostic techniques of lymph node assessment.

Publisher

Oxford University Press (OUP)

Subject

Surgery

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