Breast cancer diagnosis using FT-RAMAN spectroscopy

2005 ◽  
Author(s):  
Renata A. Bitar ◽  
Airton A. Martin ◽  
Carlos J. T. Criollo ◽  
Leandra N. Z. Ramalho
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Ft Raman Spectroscopy ◽  
Ft Raman

Raman Spectroscopy and Fluorescence Photon Migration for Breast Cancer Diagnosis and Imaging

1998 ◽  
Vol 67 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Ramasamy Manoharan ◽  
Karen Shafer ◽  
Lev Perelman ◽  
Jun Wu ◽  
Kun Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Photon Migration ◽  
Fluorescence Photon

scholarly journals The Clinical Application of Raman Spectroscopy for Breast Cancer Detection

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Pin Gao ◽  
Bing Han ◽  
Ye Du ◽  
Gang Zhao ◽  
Zhigang Yu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cellular Level ◽  
Clinical Tool ◽  
Normal Tissues ◽  
Surface Enhanced Raman

Raman spectroscopy has been widely used as an important clinical tool for real-time in vivo cancer diagnosis. Raman information can be obtained from whole organisms and tissues, at the cellular level and at the biomolecular level. The aim of this paper is to review the newest developments of Raman spectroscopy in the field of breast cancer diagnosis and treatment. Raman spectroscopy can distinguish malignant tissues from noncancerous/normal tissues and can assess tumor margins or sentinel lymph nodes during an operation. At the cellular level, Raman spectra can be used to monitor the intracellular processes occurring in blood circulation. At the biomolecular level, surface-enhanced Raman spectroscopy techniques may help detect the biomarker on the tumor surface as well as evaluate the efficacy of anticancer drugs. Furthermore, Raman images reveal an inhomogeneous distribution of different compounds, especially proteins, lipids, microcalcifications, and their metabolic products, in cancerous breast tissues. Information about these compounds may further our understanding of the mechanisms of breast cancer.

scholarly journals Raman spectroscopy: current applications in breast cancer diagnosis, challenges and future prospects

2021 ◽  
Author(s):  
Katie Hanna ◽  
Emma Krzoska ◽  
Abeer M. Shaaban ◽  
David Muirhead ◽  
Rasha Abu-Eid ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Future Prospects

scholarly journals FT-Raman spectroscopy study for skin cancer diagnosis

2003 ◽  
Vol 17 (2-3) ◽  
pp. 597-602 ◽  
Author(s):  
Lilian de Oliveira Nunes ◽  
Aírton Abrahão Martin ◽  
Landulfo Silveira Jr. ◽  
Marcelo Zampieri
Keyword(s):  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Primary Objective ◽  
Lesion Detection ◽  
Tissue Type ◽  
Biochemical Alterations ◽  
Spectral Changes ◽  
Ft Raman Spectroscopy ◽  
Components Analysis ◽  
Ft Raman

Early detection of cancer is still a great challenge in clinical oncology. Recently, Raman spectroscopy has been used for skin lesion detection. FT‒Raman spectroscopy is a modern analytical tool and its use for cancer diagnosis will lead to several advantages for the patient as, for example, real time and less invasive diagnosis. The primary objective of this work was to use FT‒Raman spectroscopy to detect spectral changes between benign and malignant (basal cell carcinoma – BCC) skin tissues. Those spectral changes can provide important information about the biochemical alterations between these two types of tissues. We have analyzed by FT‒Raman eight set of samples histopathologically diagnosed as BCC and made a comparison with five set of samples diagnosed as benign tissue. We have found that the main spectral differences between these samples were in the shift region of 1220–1300 cm–1and 1640–1680 cm–1. The vibration bands in these regions correspond to the amide III and to the amide I vibrations, respectively. Principal components analysis applied over all 13 samples could identify tissue type with 100% of sensitivity and specificity.

In vivo Raman spectroscopy for breast cancer: diagnosis in animal model

2008 ◽  
Author(s):  
R. Bitar ◽  
M. A. Martins ◽  
D. Ribeiro ◽  
C. Carvalho ◽  
E. A. P. Santos ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Animal Model ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
In Vivo Raman Spectroscopy

High-wavenumber FT-Raman spectroscopy for in vivo and ex vivo measurements of breast cancer

2011 ◽  
Vol 130 (4-6) ◽  
pp. 1231-1238 ◽  
Author(s):  
A. F. García-Flores ◽  
L. Raniero ◽  
R. A. Canevari ◽  
K. J. Jalkanen ◽  
R. A. Bitar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Ex Vivo ◽  
Ft Raman Spectroscopy ◽  
Ft Raman

From Femtosecond Dynamics to Breast Cancer Diagnosis by Raman Spectroscopy

2007 ◽  
Author(s):  
H. Abramczyk ◽  
I. Placek ◽  
B. Brożek-Płuska ◽  
K. Kurczewski ◽  
Z. Morawiec ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Femtosecond Dynamics

Raman spectroscopy: development of clinical applications for breast cancer diagnosis

2005 ◽  
Author(s):  
Maryann Fitzmaurice ◽  
Abigail A. Haka ◽  
Zoya Volynskaya ◽  
Jason T. Motz ◽  
Joseph A. Gardecki ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Clinical Applications

scholarly journals Classification for breast cancer diagnosis with Raman spectroscopy

2014 ◽  
Vol 5 (7) ◽  
pp. 2435 ◽  
Author(s):  
Qingbo Li ◽  
Qishuo Gao ◽  
Guangjun Zhang
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis
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