Literature DB >> 1474426

Raman, fluorescence, and time-resolved light scattering as optical diagnostic techniques to separate diseased and normal biomedical media.

C H Liu1, B B Das, W L Sha Glassman, G C Tang, K M Yoo, H R Zhu, D L Akins, S S Lubicz, J Cleary, R Prudente.   

Abstract

Studies of Raman scattering, fluorescence and time-resolved light scattering were conducted on cancer and normal biomedical media. Fourier transform Raman spectroscopic measurements were performed on human normal, benign and cancerous tissues from gynecological (GYN) tracts. A comparison of the intensity differences between various Raman modes as well as the number of Raman lines, enables one to distinguish normal GYN tissues from diseased tissues. Fluorescence spectroscopic measurements on human breast tissues show that the ratio of fluorescence intensity at 340 nm to that at 440 nm can be used to distinguish between cancerous and non-cancerous tissues. Separate studies on normal and cancerous breast cell lines show spectral differences. The measurements of back-scattered ultrafast laser pulses from human breast tissues show differences in the scattered pulse profiles for different tissues. These studies show that various optical techniques have the potential to be used in medical diagnostic applications.

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Year:  1992        PMID: 1474426     DOI: 10.1016/1011-1344(92)80008-j

Source DB:  PubMed          Journal:  J Photochem Photobiol B        ISSN: 1011-1344            Impact factor:   6.252


  13 in total

Review 1.  Advances in optical spectroscopy and imaging of breast lesions.

Authors:  Stavros G Demos; Abby J Vogel; Amir H Gandjbakhche
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

2.  Sensitivity of Raman spectroscopy to normal patient variability.

Authors:  Elizabeth Vargis; Teresa Byrd; Quinisha Logan; Dineo Khabele; Anita Mahadevan-Jansen
Journal:  J Biomed Opt       Date:  2011-11       Impact factor: 3.170

3.  Rapid discrimination of malignant lesions from normal gastric tissues utilizing Raman spectroscopy system: a meta-analysis.

Authors:  Huan Ouyang; Jiahui Xu; Zhengjie Zhu; Tengyun Long; Changjun Yu
Journal:  J Cancer Res Clin Oncol       Date:  2015-04-26       Impact factor: 4.553

4.  Optical diagnosis of gastric cancer using near-infrared multichannel Raman spectroscopy with a 1064-nm excitation wavelength.

Authors:  Toshiki Kawabata; Toshihiko Mizuno; Shigetoshi Okazaki; Mitsuo Hiramatsu; Tomohiko Setoguchi; Hirotoshi Kikuchi; Masayoshi Yamamoto; Yoshihiro Hiramatsu; Kenji Kondo; Megumi Baba; Manabu Ohta; Kinji Kamiya; Tatsuo Tanaka; Shohachi Suzuki; Hiroyuki Konno
Journal:  J Gastroenterol       Date:  2008-05-06       Impact factor: 7.527

5.  Human brain cancer studied by resonance Raman spectroscopy.

Authors:  Yan Zhou; Cheng-Hui Liu; Yi Sun; Yang Pu; Susie Boydston-White; Yulong Liu; Robert R Alfano
Journal:  J Biomed Opt       Date:  2012-11       Impact factor: 3.170

6.  Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach.

Authors:  Changfang Zhu; Gregory M Palmer; Tara M Breslin; Josephine Harter; Nirmala Ramanujam
Journal:  J Biomed Opt       Date:  2008 May-Jun       Impact factor: 3.170

Review 7.  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

8.  Model based and empirical spectral analysis for the diagnosis of breast cancer.

Authors:  Changfang Zhu; Tara M Breslin; Josephine Harter; Nirmala Ramanujam
Journal:  Opt Express       Date:  2008-09-15       Impact factor: 3.894

9.  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

10.  Evaluating feasibility of an automated 3-dimensional scanner using Raman spectroscopy for intraoperative breast margin assessment.

Authors:  G Thomas; T-Q Nguyen; I J Pence; B Caldwell; M E O'Connor; J Giltnane; M E Sanders; A Grau; I Meszoely; M Hooks; M C Kelley; A Mahadevan-Jansen
Journal:  Sci Rep       Date:  2017-10-19       Impact factor: 4.379

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