ArticleClinical cancer research : an official journal of the American Association for Cancer Research2012
Scatter spectroscopic imaging distinguishes between breast pathologies in tissues relevant to surgical margin assessment.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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27 citing papers in PubMed, 46 citations in OpenAlex.
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- Structured light imaging for breast-conserving surgery, part II: texture analysis and classification.Journal of biomedical optics · 2019Article
- Method for coregistration of optical measurements of breast tissue with histopathology: the importance of accounting for tissue deformations.Journal of biomedical optics · 2019Article
- Light scattering methods for tissue diagnosis.Optica · 2019Article
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- On the spectral signature of melanoma: a non-parametric classification framework for cancer detection in hyperspectral imaging of melanocytic lesions.Biomedical optics express · 2018Article
- Light scattering measured with spatial frequency domain imaging can predict stromal versus epithelial proportions in surgically resected breast tissue.Journal of biomedical optics · 2018Article
- Microvascular fractal dimension predicts prognosis and response to chemotherapy in glioblastoma: an automatic image analysis study.Laboratory investigation; a journal of technical methods and pathology · 2018Article
- Calibration and analysis of a multimodal micro-CT and structured light imaging system for the evaluation of excised breast tissue.Physics in medicine and biology · 2017Article
- Review: in vivo optical spectral tissue sensing-how to go from research to routine clinical application?Lasers in medical science · 2017Review
- Monochromatic subdiffusive spatial frequency domain imaging provides in-situ sensitivity to intratumoral morphological heterogeneity in a murine model.Journal of biophotonics · 2017Article
- Feasibility of spatial frequency domain imaging (SFDI) for optically characterizing a preclinical oncology model.Biomedical optics express · 2016Article
- Wide-field quantitative imaging of tissue microstructure using sub-diffuse spatial frequency domain imaging.Optica · 2016Article
- Noninvasive assessment of hemodynamic and brain metabolism parameters following closed head injury in a mouse model by comparative diffuse optical reflectance approaches.Neurophotonics · 2016Article
- Spectrally encoded confocal microscopy for diagnosing breast cancer in excision and margin specimens.Laboratory investigation; a journal of technical methods and pathology · 2016Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
purposeA new approach to spectroscopic imaging was developed to detect and discriminate microscopic pathologies in resected breast tissues; diagnostic performance of the prototype system was tested in 27 tissues procured during breast conservative surgery. EXPERIMENTAL
designA custom-built, scanning in situ spectroscopy platform sampled broadband reflectance from a 150-μm-diameter spot over a 1 × 1 cm(2) field using a dark field geometry and telecentric lens; the system was designed to balance sensitivity to cellular morphology and imaging the inherent diversity within tissue subtypes. Nearly 300,000 broadband spectra were parameterized using light scattering models and spatially dependent spectral signatures were interpreted using a cooccurrence matrix representation of image texture.
resultsLocal scattering changes distinguished benign from malignant pathologies with 94% accuracy, 93% sensitivity, 95% specificity, and 93% positive and 95% negative predictive values using a threshold-based classifier. Texture and shape features were important to optimally discriminate benign from malignant tissues, including pixel-to-pixel correlation, contrast and homogeneity, and the shape features of fractal dimension and Euler number. Analysis of the region-based diagnostic performance showed that spectroscopic image features from 1 × 1 mm(2) areas were diagnostically discriminant and enabled quantification of within-class tissue heterogeneities.
conclusionsLocalized scatter-imaging signatures detected by the scanning spectroscopy platform readily distinguished benign from malignant pathologies in surgical tissues and showed new spectral-spatial signatures of clinical breast pathologies.
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