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

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.

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 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

‘ONCOSENSOR’ for Noninvasive High-Specificity Breast Cancer Diagnosis by Carbogen-Enhanced Neutron Femto-Oximetry

2010 ◽  
Author(s):  
Bogdan C. Maglich ◽  
Orhan Nalcioglu
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Diagnostic Tests ◽  
High Specificity ◽  
Breast Cancer Diagnosis ◽  
Factor X ◽  
Subcutaneous Tumor ◽  
Imaging Guidance ◽  
Fischer Rats

Based on the first experiment on Differential Femto Oximetry (Paper 13270), we conducted a computer simulated study of the feasibility of conceptual design for our noninvasive malignancy probe, Oncosensor, to diagnose hypoxia of malignancy M = −0.90, measured by pO2 — which correspond to volume averaged hypoxia M′ = −0.09 — in 1cm, 3 cm and 5 cm DIA tumors embedded in the middle of a 10 cm DIA breast. M′ is further masked by background γ’s from the in vivo tissue by factor x = 4.4–7 for subcutaneous and central tumor, respectively, to apparent M″ = M′/X which, in turn, renders hypoxia non-diagnosable for 1 cm tumors; marginally so for 3 cm ones with specificity S = 75%, and fully diagnosable with S = 95% in 5 cm ones. To diagnose 1–3 cm and smaller tumors, we propose to enhance M″ by a factor of ≈ 3 by replacing air breathing with that of Carbogen (O2 95%, CO2 5%). With carbogen breathing, simulations predict hypoxia detection in 1 cm subcutaneous tumor with S = 68%, and in 3 cm ones with S = 95–99.9%. Carbogen renders possible 2 additional diagnostic tests for redundancy. Significant improvements of the above measurement accuracies are projected. Oncosensor will be tested in vivo with R3230 tumors in Fischer rats at UCI’s Center for Functional Onco-Imaging. Oncosensor requires imaging guidance.

scholarly journals Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis

2019 ◽  
Vol 50 (1) ◽  
pp. 239-249 ◽  
Author(s):  
Sunitha B. Thakur ◽  
Joao V. Horvat ◽  
Ileana Hancu ◽  
Olivia M. Sutton ◽  
Blanca Bernard‐Davila ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lipid Metabolism ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Diagnosis And Prognosis ◽  
Cancer Diagnosis And Prognosis

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

The lipid-reactive oxygen species phenotype of breast cancer. Raman spectroscopy and mapping, PCA and PLSDA for invasive ductal carcinoma and invasive lobular carcinoma. Molecular tumorigenic mechanisms beyond Warburg effect

The Analyst ◽  
2015 ◽  
Vol 140 (7) ◽  
pp. 2121-2133 ◽  
Author(s):  
Jakub Surmacki ◽  
Beata Brozek-Pluska ◽  
Radzislaw Kordek ◽  
Halina Abramczyk
Keyword(s):  
Breast Cancer ◽  
Reactive Oxygen Species ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Warburg Effect ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma ◽  
Breast Cancer Diagnosis ◽  
Oxygen Species ◽  
Relevant Level

The paper demonstrates that Raman imaging has reached a clinically relevant level in regard to breast cancer diagnosis applications.

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