Optical malignancy parameters for monitoring progression of breast cancer neoadjuvant chemotherapy

David R. Busch, Regine Choe, Mark A. Rosen, Wensheng Guo, Turgut Durduran, Michael D. Feldman, Carolyn Mies, Brian J. Czerniecki, Julia Tchou, Angela DeMichele, Mitchell D. Schnall, Arjun G. Yodh

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

We introduce and demonstrate use of a novel, diffuse optical tomography (DOT) based breast cancer signature for monitoring progression of neoadjuvant chemotherapy. This signature, called probability of malignancy, is obtained by statistical image analysis of total hemoglobin concentration, blood oxygen saturation, and scattering coefficient distributions in the breast tomograms of a training-set population with biopsy-confirmed breast cancers. A pilot clinical investigation adapts this statistical image analysis approach for chemotherapy monitoring of three patients. Though preliminary, the study shows how to use the malignancy parameter for separating responders from partial-responders and demonstrates the potential utility of the methodology compared to traditional DOT quantification schemes.

Original languageEnglish (US)
Pages (from-to)105-121
Number of pages17
JournalBiomedical Optics Express
Volume4
Issue number1
DOIs
StatePublished - 2013

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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