Literature DB >> 23448574

Resonance Raman and Raman spectroscopy for breast cancer detection.

C-H Liu1, Y Zhou, Y Sun, J Y Li, L X Zhou, S Boydston-White, V Masilamani, K Zhu, Y Pu, R R Alfano.   

Abstract

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 exhibited a robust pattern of peaks within the region of 500-4000 cm(21). The intensities of four distinct peaks at 1156, 1521, 2854 and 3013 cm(21) detected in the spectra collected from normal breast tissue were found to be stronger in comparison with those collected from cancerous breast tissue. The twelve dramatically enhanced characteristic peaks, including the enhanced amide II peak at 1548 cm(21) in the spectra collected from cancerous breast tissue, distinguished the cancerous tissue from the normal tissue. Principal component analysis (PCA) combined with support vector machine (SVM) analysis of the Raman and RR spectral data yielded a high performance in the classification of cancerous and benign lesions from normal breast tissue.

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Year:  2013        PMID: 23448574     DOI: 10.7785/tcrt.2012.500325

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  17 in total

1.  Raman-Encoded Molecular Imaging with Topically Applied SERS Nanoparticles for Intraoperative Guidance of Lumpectomy.

Authors:  Yu Winston Wang; Nicholas P Reder; Soyoung Kang; Adam K Glaser; Qian Yang; Matthew A Wall; Sara H Javid; Suzanne M Dintzis; Jonathan T C Liu
Journal:  Cancer Res       Date:  2017-06-14       Impact factor: 12.701

2.  Classification for breast cancer diagnosis with Raman spectroscopy.

Authors:  Qingbo Li; Qishuo Gao; Guangjun Zhang
Journal:  Biomed Opt Express       Date:  2014-06-27       Impact factor: 3.732

3.  Vulnerable atherosclerotic plaque detection by resonance Raman spectroscopy.

Authors:  Cheng-Hui Liu; Susie Boydston-White; Arel Weisberg; Wubao Wang; Laura A Sordillo; Adler Perotte; Vincent P Tomaselli; Peter P Sordillo; Zhe Pei; Lingyan Shi; Robert R Alfano
Journal:  J Biomed Opt       Date:  2016-12-01       Impact factor: 3.170

4.  Multiplexed Molecular Imaging of Fresh Tissue Surfaces Enabled by Convection-Enhanced Topical Staining with SERS-Coded Nanoparticles.

Authors:  Yu W Wang; Josh D Doerksen; Soyoung Kang; Daniel Walsh; Qian Yang; Daniel Hong; Jonathan T C Liu
Journal:  Small       Date:  2016-08-29       Impact factor: 13.281

Review 5.  Clinical instrumentation and applications of Raman spectroscopy.

Authors:  Isaac Pence; Anita Mahadevan-Jansen
Journal:  Chem Soc Rev       Date:  2016-04-07       Impact factor: 54.564

6.  Distinguishing metastatic triple-negative breast cancer from nonmetastatic breast cancer using second harmonic generation imaging and resonance Raman spectroscopy.

Authors:  Ethan Bendau; Jason Smith; Lin Zhang; Ellen Ackerstaff; Natalia Kruchevsky; Binlin Wu; Jason A Koutcher; Robert Alfano; Lingyan Shi
Journal:  J Biophotonics       Date:  2020-04-20       Impact factor: 3.207

7.  Quantitative molecular phenotyping with topically applied SERS nanoparticles for intraoperative guidance of breast cancer lumpectomy.

Authors:  Yu Wang; Soyoung Kang; Altaz Khan; Gabriel Ruttner; Steven Y Leigh; Melissa Murray; Sanjee Abeytunge; Gary Peterson; Milind Rajadhyaksha; Suzanne Dintzis; Sara Javid; Jonathan T C Liu
Journal:  Sci Rep       Date:  2016-02-16       Impact factor: 4.379

8.  Diagnosis of Breast Cancer Tissues Using 785 nm Miniature Raman Spectrometer and Pattern Regression.

Authors:  Qingbo Li; Can Hao; Zhi Xu
Journal:  Sensors (Basel)       Date:  2017-03-19       Impact factor: 3.576

9.  Breast Tumor Analysis Using Shifted-Excitation Raman Difference Spectroscopy (SERDS).

Authors:  Medhanie Tesfay Gebrekidan; Ramona Erber; Arndt Hartmann; Peter A Fasching; Julius Emons; Mathias W Beckmann; Andreas Braeuer
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

10.  Resonance Raman Probes for Organelle-Specific Labeling in Live Cells.

Authors:  Andrey N Kuzmin; Artem Pliss; Chang-Keun Lim; Jeongyun Heo; Sehoon Kim; Alexander Rzhevskii; Bobo Gu; Ken-Tye Yong; Shuangchun Wen; Paras N Prasad
Journal:  Sci Rep       Date:  2016-06-24       Impact factor: 4.379

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