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Biomed Opt Express. 2017 May 09;8(6):2932-2945. doi: 10.1364/BOE.8.002932. eCollection 2017 Jun 01.

Use of a handheld terahertz pulsed imaging device to differentiate benign and malignant breast tissue.

Biomedical optics express

Maarten R Grootendorst, Anthony J Fitzgerald, Susan G Brouwer de Koning, Aida Santaolalla, Alessia Portieri, Mieke Van Hemelrijck, Matthew R Young, Julie Owen, Massi Cariati, Michael Pepper, Vincent P Wallace, Sarah E Pinder, Arnie Purushotham

Affiliations

  1. King's College London, Division of Cancer Studies, London, UK.
  2. Department of Breast Surgery, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  3. Contributed equally.
  4. School of Physics, University of Western Australia, Perth, Australia.
  5. Teraview Ltd., Cambridge, UK.
  6. King's College London, Division of Cancer Studies, King's Health Partners Cancer Biobank and Breast Pathology Research Group, London, UK.
  7. London Centre for Nanotechnology, University College London, UK.

PMID: 28663917 PMCID: PMC5480440 DOI: 10.1364/BOE.8.002932

Abstract

Since nearly 20% of breast-conserving surgeries (BCS) require re-operation, there is a clear need for developing new techniques to more accurately assess tumor resection margins intraoperatively. This study evaluates the diagnostic accuracy of a handheld terahertz pulsed imaging (TPI) system to discriminate benign from malignant breast tissue ex vivo. Forty six freshly excised breast cancer samples were scanned with a TPI handheld probe system, and histology was obtained for comparison. The image pixels on TPI were classified using (1) parameters in combination with support vector machine (SVM) and (2) Gaussian wavelet deconvolution in combination with Bayesian classification. The results were an accuracy, sensitivity, specificity of 75%, 86%, 66% for method 1, and 69%, 87%, 54% for method 2 respectively. This demonstrates the probe can discriminate invasive breast cancer from benign breast tissue with an encouraging degree of accuracy, warranting further study.

Keywords: (110.6795) Terahertz imaging; (170.3880) Medical and biological imaging; (170.6935) Tissue characterization

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