Histological Correlation of Microcalcifications in Breast Biopsy Specimens

Johnson, James C.; Dalton, Rory R.; Wester, Susan M.; Landercasper, Jeffrey; Lambert, Pamela J.

doi:10.1001/archsurg.134.7.712

Cited by 41 publications

(21 citation statements)

References 14 publications

(17 reference statements)

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“…To determine the error in our fit coefficients, we used a 2 analysis (31). 2 analysis is a well known method for calculating the goodness of a fit as well as the error associated with model fitting. The error bars (one SD), shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, a lesion found through either clinical breast examination or mammography is always biopsied. Because of current limitations, 70-90% of mammographically detected lesions are found to be benign upon biopsy (2). Breast biopsy is most often performed by surgical excision that removes the entire lesion or by core needle biopsy that removes 5-12 cores of tissue, typically 1 mm in diameter and several centimeters long, to ensure proper sampling (3).…”

mentioning

confidence: 99%

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Diagnosing breast cancer by using Raman spectroscopy

Haka

Shafer‐Peltier

Fitzmaurice

et al. 2005

Proc. Natl. Acad. Sci. U.S.A.

585

452

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We employ Raman spectroscopy to diagnose benign and malignant lesions in human breast tissue based on chemical composition. In this study, 130 Raman spectra are acquired from ex vivo samples of human breast tissue (normal, fibrocystic change, fibroadenoma, and infiltrating carcinoma) from 58 patients. Data are fit by using a linear combination model in which nine basis spectra represent the morphologic and chemical features of breast tissue. The resulting fit coefficients provide insight into the chemical͞morpho-logical makeup of the tissue and are used to develop diagnostic algorithms. The fit coefficients for fat and collagen are the key parameters in the resulting diagnostic algorithm, which classifies samples according to their specific pathological diagnoses, attaining 94% sensitivity and 96% specificity for distinguishing cancerous tissues from normal and benign tissues. The excellent results demonstrate that Raman spectroscopy has the potential to be applied in vivo to accurately classify breast lesions, thereby reducing the number of excisional breast biopsies that are performed.spectral diagnosis ͉ optical vibrational disease

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Diagnosing breast cancer by using Raman spectroscopy

Haka

Shafer‐Peltier

Fitzmaurice

et al. 2005

Proc. Natl. Acad. Sci. U.S.A.

585

452

View full text Add to dashboard Cite

show abstract

“…70-90% of the suspicious lesions detected by mammography are determined to be benign lesions upon biopsy. However, 20% of malignant lesions go undetected by mammography (4)(5)(6). Minimally invasive or non-invasive optical spectroscopy techniques for the diagnosis of suspicious lesions in real-time could reduce patient trauma and discomfort, time to diagnosis and the high medical costs associated with traditional biopsy (7).…”

Section: Introductionmentioning

confidence: 99%

Resonance Raman and Raman Spectroscopy for Breast Cancer Detection

Liu

Zhou

Sun

et al. 2013

Technol Cancer Res Treat

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Raman spectroscopy is a sensitive method to detect early changes of molecular composition and structure that occur in lesions during carcinogenesis. The Raman spectra of normal, benign and cancerous breast tissues were investigated in vitro using a near-infrared (NIR) Raman system of 785 nm excitation and confocal micro resonance Raman system of 532 nm excitation. A total number of 491 Raman spectra were acquired from normal, benign and cancerous breast tissues taken from 15 patients. When the 785 nm excitation was used, the dominant peaks in the spectra were characteristic of the vibrations of proteins and lipids.The differences between the normal and cancerous breast tissues were observed in both the peak positions and the intensity ratios of the characteristic Raman peaks in the spectral region of 700-1800 cm 21 . With 532 nm excitation, the resonance Raman (RR) spectra

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“…A tissue biopsy must be performed to determine whether or not a lesion is malignant, and 70-90% of breast biopsies are found to be benign upon pathological analysis. 2 However, instead of removing tissue for pathological analysis, it is possible to use optical techniques such as Raman spectroscopy to provide diagnostic information about a suspicious lesion in situ. Raman spectroscopy studies the spectral sidebands generated by the light scattered from a sample illuminated with monochromatic excitation light.…”

Section: Introductionmentioning

confidence: 99%

Raman microspectroscopic model of human breast tissue: implications for breast cancer diagnosis in vivo

Shafer‐Peltier

Haka

Fitzmaurice

et al. 2002

J Raman Spectroscopy

260

229

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Raman spectroscopy has the potential to provide real-time, in situ diagnosis of breast cancer during needle biopsy or surgery via an optical fiber probe. Understanding the chemical/morphological basis of the Raman spectrum of breast tissue is a necessary step in developing Raman spectroscopy as a tool for in situ breast cancer diagnosis. To understand the relationship between the Raman spectrum of a sample of breast tissue and its disease state, near-infrared Raman spectroscopic images of human breast tissue were acquired using a confocal microscope. These images were then compared with phase contrast and hematoxylinand eosin-stained images to develop a chemical/morphological model of breast tissue Raman spectra. This model fits macroscopic tissue spectra with a linear combination of basis spectra derived from spectra of the cell cytoplasm, cell nucleus, fat, b-carotene, collagen, calcium hydroxyapatite, calcium oxalate dihydrate, cholesterol-like lipid deposits and water. Each basis spectrum represents data acquired from multiple patients and, when appropriate, from a variety of normal and diseased states. The model explains the spectral features of a range of normal and diseased breast tissue samples, including breast cancer. It can be used to relate the Raman spectrum of a breast tissue sample to diagnostic parameters used by pathologists.

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Histological Correlation of Microcalcifications in Breast Biopsy Specimens

Cited by 41 publications

References 14 publications

Diagnosing breast cancer by using Raman spectroscopy

Diagnosing breast cancer by using Raman spectroscopy

Resonance Raman and Raman Spectroscopy for Breast Cancer Detection

Raman microspectroscopic model of human breast tissue: implications for breast cancer diagnosis in vivo

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