Ms. Changfang Zhu Profile

Changfang Zhu

Research Scientist at Boston Scientific Corp

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Publications (4)

SPIE Journal Paper | 1 May 2008 Open Access

Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach

Changfang Zhu, Gregory Palmer, Tara Breslin, Josephine Harter, Nirmala Ramanujam

JBO, Vol. 13, Issue 03, 034015, (May 2008) https://doi.org/10.1117/12.10.1117/1.2931078

KEYWORDS: Tissues, Luminescence, Breast, Scattering, Absorption, Diffuse reflectance spectroscopy, Breast cancer, Collagen, Tumor growth modeling, Monte Carlo methods

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We explore the use of Monte-Carlo-model-based approaches for the analysis of fluorescence and diffuse reflectance spectra measured ex vivo from breast tissues. These models are used to extract the absorption, scattering, and fluorescence properties of malignant and nonmalignant tissues and to diagnose breast cancer based on these intrinsic tissue properties. Absorption and scattering properties, including -carotene concentration, total hemoglobin concentration, hemoglobin saturation, and the mean reduced scattering coefficient are derived from diffuse reflectance spectra using a previously developed Monte Carlo model of diffuse reflectance. A Monte Carlo model of fluorescence described in an earlier manuscript was employed to retrieve the intrinsic fluorescence spectra. The intrinsic fluorescence spectra were decomposed into several contributing components, which we attribute to endogenous fluorophores that may present in breast tissues including collagen, NADH, and retinol/vitamin A. The model-based approaches removes any dependency on the instrument and probe geometry. The relative fluorescence contributions of individual fluorescing components, as well as -carotene concentration, hemoglobin saturation, and the mean reduced scattering coefficient display statistically significant differences between malignant and adipose breast tissues. The hemoglobin saturation and the reduced scattering coefficient display statistically significant differences between malignant and fibrous/benign breast tissues. A linear support vector machine classification using (1) fluorescence properties alone, (2) absorption and scattering properties alone, and (3) the combination of all tissue properties achieves comparable classification accuracies of 81 to 84% in sensitivity and 75 to 89% in specificity for discriminating malignant from nonmalignant breast tissues, suggesting each set of tissue properties are diagnostically useful for the discrimination of breast malignancy.

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SPIE Journal Paper | 1 March 2005 Open Access

Use of a multiseparation fiber optic probe for the optical diagnosis of breast cancer

Changfang Zhu, Gregory Palmer, Tara Breslin, Fushen Xu, Nirmala Ramanujam

JBO, Vol. 10, Issue 02, 024032, (March 2005) https://doi.org/10.1117/12.10.1117/1.1897398

KEYWORDS: Tissues, Luminescence, Diffuse reflectance spectroscopy, Breast, Fiber optics, Principal component analysis, Absorption, Statistical analysis, Breast cancer, Optical spectroscopy

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SPIE Journal Paper | 1 April 2003 Open Access

Experimental validation of Monte Carlo modeling of fluorescence in tissues in the UV-visible spectrum

Quan Liu, Changfang Zhu, Nirmala Ramanujam

JBO, Vol. 8, Issue 02, (April 2003) https://doi.org/10.1117/12.10.1117/1.1559057

KEYWORDS: Monte Carlo methods, Tissues, Luminescence, Absorption, Fiber optics, Scattering, Diffuse reflectance spectroscopy, Optical properties, Fiber optics tests, Atrial fibrillation

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SPIE Journal Paper | 1 April 2003 Open Access

Effect of fiber optic probe geometry on depth-resolved fluorescence measurements from epithelial tissues: a Monte Carlo simulation

Changfang Zhu, Quan Liu, Nirmala Ramanujam

JBO, Vol. 8, Issue 02, (April 2003) https://doi.org/10.1117/12.10.1117/1.1559058

KEYWORDS: Luminescence, Tissues, Fluorescence spectroscopy, Optical properties, Monte Carlo methods, Photons, Fiber optics, Fiber optics tests, Charge-coupled devices, Optical fibers

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