Using DRS during breast conserving surgery: Identifying robust optical parameters and influence of inter-patient variation

Lisanne L. De Boer*, Benno H.W. Hendriks, Frederieke Van Duijnhoven, Marie Jeanne T.F.D. Vrancken Peeters-Baas, Koen Van De Vijver, Claudette E. Loo, Katarzyna Jóźwiak, Henricus J.C.M. Sterenborg, Theo J.M. Ruers

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

15 Citations (Scopus)

Abstract

Successful breast conserving surgery consists of complete removal of the tumor while sparing healthy surrounding tissue. Despite currently available imaging and margin assessment tools, recognizing tumor tissue at a resection margin during surgery is challenging. Diffuse reflectance spectroscopy (DRS), which uses light for tissue characterization, can potentially guide surgeons to prevent tumor positive margins. However, inter-patient variation and changes in tissue physiology occurring during the resection might hamper this light-based technology. Here we investigate how inter-patient variation and tissue status (in vivo vs ex vivo) affect the performance of the DRS optical parameters. In vivo and ex vivo measurements of 45 breast cancer patients were obtained and quantified with an analytical model to acquire the optical parameters. The optical parameter representing the ratio between fat and water provided the best discrimination between normal and tumor tissue, with an area under the receiver operating characteristic curve of 0.94. There was no substantial influence of other patient factors such as menopausal status on optical measurements. Contrary to expectations, normalization of the optical parameters did not improve the discriminative power. Furthermore, measurements taken in vivo were not significantly different from the measurements taken ex vivo. These findings indicate that DRS is a robust technology for the detection of tumor tissue during breast conserving surgery.

Original languageEnglish
Pages (from-to)5188-5200
JournalBiomedical Optics Express
Volume7
Issue number12
DOIs
Publication statusPublished - 2016

Keywords

  • Fiber optics
  • Spectroscopy
  • Tissue characterization

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