Literature DB >> 15657894

Direct observation of spectral differences between normal and basal cell carcinoma (BCC) tissues using confocal Raman microscopy.

Junghyun Choi1, Jaebum Choo, Hoeil Chung, Dae-Gab Gweon, Jeunghee Park, Hyo Jin Kim, Sangyong Park, Chil-Hwan Oh.   

Abstract

Raman spectroscopy has strong potential for providing noninvasive dermatological diagnosis of skin cancer. In this study, confocal Raman microscopy was applied to the dermatological diagnosis for one of the most common skin cancers, basal cell carcinoma (BCC). BCC tissues were obtained from 10 BCC patients using a routine biopsy and used for confocal Raman measurements. Autofluorescence signals from tissues, which interfere with the Raman signals, were greatly reduced using a confocal slit adjustment. Distinct Raman band differences between normal and BCC tissues for the amide I mode and the PO2- symmetric stretching mode showed that this technique has strong potential for use as a dermatological diagnostic tool without the need for statistical treatment of spectral data. It was also possible to precisely differentiate BCC tissue from surrounding noncancerous tissue using the confocal Raman depth profiling technique. We propose that confocal Raman microscopy provides a novel method for dermatological diagnosis since direct observations of spectral differences between normal and BCC tissues are possible. Copyright (c) 2005 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2005        PMID: 15657894     DOI: 10.1002/bip.20236

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  11 in total

1.  Discrimination of basal cell carcinoma and melanoma from normal skin biopsies in vitro through Raman spectroscopy and principal component analysis.

Authors:  Benito Bodanese; Fabrício Luiz Silveira; Renato Amaro Zângaro; Marcos Tadeu T Pacheco; Carlos Augusto Pasqualucci; Landulfo Silveira
Journal:  Photomed Laser Surg       Date:  2012-06-13       Impact factor: 2.796

2.  Using Raman spectroscopy to characterize biological materials.

Authors:  Holly J Butler; Lorna Ashton; Benjamin Bird; Gianfelice Cinque; Kelly Curtis; Jennifer Dorney; Karen Esmonde-White; Nigel J Fullwood; Benjamin Gardner; Pierre L Martin-Hirsch; Michael J Walsh; Martin R McAinsh; Nicholas Stone; Francis L Martin
Journal:  Nat Protoc       Date:  2016-03-10       Impact factor: 13.491

3.  Co-localized line-field confocal optical coherence tomography and confocal Raman microspectroscopy for three-dimensional high-resolution morphological and molecular characterization of skin tissues ex vivo.

Authors:  Léna Waszczuk; Jonas Ogien; Jean-Luc Perrot; Arnaud Dubois
Journal:  Biomed Opt Express       Date:  2022-03-25       Impact factor: 3.562

4.  Preliminary study of differentiating smears from cancerous and non-cancerous nasopharyngeal tissue using confocal Raman spectroscopy.

Authors:  Liqing Sun; Zhihong Xu; Wei Huang; Shanshan Wu; Xinheng Lin; Fengyu Zhu; Nengrong Liu; Meizhen Huang; Rong Chen; Haishan Zeng
Journal:  J Cancer Res Clin Oncol       Date:  2015-11-26       Impact factor: 4.553

5.  In vivo nonmelanoma skin cancer diagnosis using Raman microspectroscopy.

Authors:  Chad A Lieber; Shovan K Majumder; Darrel L Ellis; D Dean Billheimer; Anita Mahadevan-Jansen
Journal:  Lasers Surg Med       Date:  2008-09       Impact factor: 4.025

Review 6.  Advances in the in Vivo Raman Spectroscopy of Malignant Skin Tumors Using Portable Instrumentation.

Authors:  Nikolaos Kourkoumelis; Ioannis Balatsoukas; Violetta Moulia; Aspasia Elka; Georgios Gaitanis; Ioannis D Bassukas
Journal:  Int J Mol Sci       Date:  2015-06-26       Impact factor: 5.923

7.  Comparison of Whiskbroom and Pushbroom darkfield elastic light scattering spectroscopic imaging for head and neck cancer identification in a mouse model.

Authors:  Miriam C Bassler; Mona Stefanakis; Inês Sequeira; Edwin Ostertag; Alexandra Wagner; Jörg W Bartsch; Marion Roeßler; Robert Mandic; Eike F Reddmann; Anita Lorenz; Karsten Rebner; Marc Brecht
Journal:  Anal Bioanal Chem       Date:  2021-11-19       Impact factor: 4.478

8.  Deep learning data augmentation for Raman spectroscopy cancer tissue classification.

Authors:  Man Wu; Shuwen Wang; Shirui Pan; Andrew C Terentis; John Strasswimmer; Xingquan Zhu
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

9.  Infrared spectroscopy characterization of normal and lung cancer cells originated from epithelium.

Authors:  So Yeong Lee; Kyong Ah Yoon; Soo Hwa Jang; Erdene Ochir Ganbold; Dembereldorj Uuriintuya; Sang Mo Shin; Pan Dong Ryu; Sang Woo Joo
Journal:  J Vet Sci       Date:  2009-12       Impact factor: 1.672

10.  Raman Spectroscopy: Incorporating the Chemical Dimension into Dermatological Diagnosis.

Authors:  Amit Sharma; Shruti Sharma; Anna Zarrow; Robert A Schwartz; W Clark Lambert
Journal:  Indian J Dermatol       Date:  2016 Jan-Feb       Impact factor: 1.494

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.