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

被引:247
|
作者
Shafer-Peltier, KE
Haka, AS
Fitzmaurice, M
Crowe, J
Myles, J
Dasari, RR
Feld, MS
机构
[1] MIT, George R Harrison Spect Lab, Cambridge, MA 02139 USA
[2] Univ Hosp Cleveland, Cleveland, OH 44106 USA
[3] Case Western Reserve Univ, Cleveland, OH 44106 USA
[4] Cleveland Clin Fdn, Cleveland, OH 44106 USA
[5] MIT, Laser Biomed Res Ctr, Cambridge, MA 02139 USA
关键词
D O I
10.1002/jrs.877
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
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 hematoxylin- and 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, beta-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. Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:552 / 563
页数:12
相关论文
共 50 条
  • [41] Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
    Brown, Loren M.
    Hebert, Katherine L.
    Gurrala, Rakesh R.
    Byrne, C. Ethan
    Burow, Matthew
    Martin, Elizabeth C.
    Lau, Frank H.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2021, (170):
  • [42] Raman chemical imaging: Histopathology of inclusions in human breast tissue
    Schaeberle, MD
    Kalasinsky, VF
    Luke, JL
    Lewis, EN
    Levin, IW
    Treado, PJ
    ANALYTICAL CHEMISTRY, 1996, 68 (11) : 1829 - 1833
  • [43] FT-Raman spectroscopy study of human breast tissue
    Carter, RAB
    Martin, AA
    Netto, MM
    Soares, FA
    BIOMEDICAL VIBRATIONAL SPECTROSCOPY AND BIOHAZARD DETECTION TECHNOLOGIES, 2004, 5321 : 190 - 197
  • [44] Applications of multimodality ex-vivo tissue imaging to improve breast cancer diagnosis and treatment
    Avila, Corazon
    Karczmar, Gregory
    Mustafi, Devkumar
    CANCER RESEARCH, 2022, 82 (12)
  • [45] Raman Analysis of Breast Cancer: A Large Tissue Microarray Study
    Pacheco, D. Lazaro
    Shaaban, A.
    Baldwin, G.
    Titloye, A.
    Rehman, I. U.
    JOURNAL OF PATHOLOGY, 2018, 246 : S13 - S13
  • [46] Study on Changes of Breast Cancer Tissue Composition by Raman Spectroscopy
    Ma, Dan-Ying
    Fu, Juan-Juan
    Tang, Jin-Lan
    Bao, Yi-Lin
    Shang, Lin-Wei
    Wang, Xiao
    Yin, Jian-Hua
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2021, 49 (01) : 144 - 150
  • [47] Swiss bare mice: a suitable model for transcutaneous in vivo Raman spectroscopic studies of breast cancer
    Bhattacharjee, T.
    Kumar, Piyush
    Maru, G.
    Ingle, A.
    Krishna, C. Murali
    LASERS IN MEDICAL SCIENCE, 2014, 29 (01) : 325 - 333
  • [48] Swiss bare mice: a suitable model for transcutaneous in vivo Raman spectroscopic studies of breast cancer
    T. Bhattacharjee
    Piyush Kumar
    G. Maru
    A. Ingle
    C. Murali Krishna
    Lasers in Medical Science, 2014, 29 : 325 - 333
  • [49] Delay in breast cancer: implications for stage at diagnosis and survival
    Caplan, Lee
    FRONTIERS IN PUBLIC HEALTH, 2014, 2
  • [50] Mid-IR microspectroscopic Imaging of breast tumor tissue sections
    Fabian, H
    Lasch, P
    Boese, M
    Haensch, W
    BIOPOLYMERS, 2002, 67 (4-5) : 354 - 357