Literature DB >> 28886805

Using Raman Spectroscopy to Detect and Diagnose Skin Cancer In Vivo.

Jianhua Zhao1, Haishan Zeng1, Sunil Kalia1, Harvey Lui2.   

Abstract

Raman spectroscopy provides a noninvasive bedside tool that captures unique optical signals via molecular vibrations in tissue samples. Raman theory was discovered at the beginning of the twentieth century, but it was not until the past few decades that it has been used to differentiate skin neoplasms. We provide a brief description of Raman spectroscopy for in vivo skin cancer diagnosis, including the physical principles underlying Raman spectroscopy, its advantages, typical spectra of skin pathologies, and its clinical application for aiding skin cancer diagnosis.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Imaging-guided confocal Raman spectroscopy; In vivo; Raman spectroscopy; Skin cancer; Spectrum

Mesh:

Year:  2017        PMID: 28886805     DOI: 10.1016/j.det.2017.06.010

Source DB:  PubMed          Journal:  Dermatol Clin        ISSN: 0733-8635            Impact factor:   3.478


  10 in total

Review 1.  Emerging imaging technologies in dermatology: Part I: Basic principles.

Authors:  Samantha L Schneider; Indermeet Kohli; Iltefat H Hamzavi; M Laurin Council; Anthony M Rossi; David M Ozog
Journal:  J Am Acad Dermatol       Date:  2018-12-04       Impact factor: 11.527

Review 2.  Emerging imaging technologies in dermatology: Part II: Applications and limitations.

Authors:  Samantha L Schneider; Indermeet Kohli; Iltefat H Hamzavi; M Laurin Council; Anthony M Rossi; David M Ozog
Journal:  J Am Acad Dermatol       Date:  2018-12-04       Impact factor: 11.527

3.  Bioreactor design and validation for manufacturing strategies in tissue engineering.

Authors:  Diana Lim; Eric S Renteria; Drake S Sime; Young Min Ju; Ji Hyun Kim; Tracy Criswell; Thomas D Shupe; Anthony Atala; Frank C Marini; Metin N Gurcan; Shay Soker; Joshua Hunsberger; James J Yoo
Journal:  Biodes Manuf       Date:  2021-07-19

4.  Diagnosis accuracy of Raman spectroscopy in the diagnosis of breast cancer: a meta-analysis.

Authors:  Mei-Huan Wang; Xiao Liu; Qian Wang; Hua-Wei Zhang
Journal:  Anal Bioanal Chem       Date:  2022-09-23       Impact factor: 4.478

Review 5.  Application of atomic force microscopy in cancer research.

Authors:  Xiangying Deng; Fang Xiong; Xiayu Li; Bo Xiang; Zheng Li; Xu Wu; Can Guo; Xiaoling Li; Yong Li; Guiyuan Li; Wei Xiong; Zhaoyang Zeng
Journal:  J Nanobiotechnology       Date:  2018-12-11       Impact factor: 10.435

6.  Early diagnosis of skin cancer by ultrasound frequency analysis.

Authors:  Shabnam Kia; Saeed Setayeshi; Majid Pouladian; Seyed Hossein Ardehali
Journal:  J Appl Clin Med Phys       Date:  2019-10-08       Impact factor: 2.102

7.  Diagnostic accuracy of Raman spectroscopy for prostate cancer: a systematic review and meta-analysis.

Authors:  Jae Joon Park; Do Kyung Kim; Soomin Lee; Yoonseo Choi; Yon Hee Kim; Joon-Ho Lee; Ki Hyun Kim; Jae Heon Kim
Journal:  Transl Androl Urol       Date:  2021-02

Review 8.  Application and Progress of Raman Spectroscopy in Male Reproductive System.

Authors:  Feng Zhang; Yiling Tan; Jinli Ding; Dishuang Cao; Yanan Gong; Yan Zhang; Jing Yang; Tailang Yin
Journal:  Front Cell Dev Biol       Date:  2022-01-12

9.  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

Review 10.  Novel aspects of Raman spectroscopy in skin research.

Authors:  Dominique Lunter; Victoria Klang; Dorottya Kocsis; Zsófia Varga-Medveczky; Szilvia Berkó; Franciska Erdő
Journal:  Exp Dermatol       Date:  2022-07-25       Impact factor: 4.511

  10 in total

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