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Optical malignancy parameters for monitoring progression of breast cancer neoadjuvant chemotherapy

Year: 2012
Type: article
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.
DOI: 10.1364/boe.4.000105
Authors: 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
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $1,913
Funders: University of Pennsylvania, National Institutes of Health, National Cancer Institute, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources
Awards: G1403651065, G1530775073, G309327476, In Vivo Cancer Therapy Monitoring with Diffuse Optical Methods, G3548386043, G376811913, G411511530, G8097768369, G9000056762, G9000081047, G9000202344
OpenAlex ID: W2136074437
FWCI: 2.671
Cites: 27
Cited by: 34
Related to: 10