Literature DB >> 23348560

Diagnosis of malignant melanoma and basal cell carcinoma by in vivo NIR-FT Raman spectroscopy is independent of skin pigmentation.

P A Philipsen1, L Knudsen, M Gniadecka, M H Ravnbak, H C Wulf.   

Abstract

There is a general need for methods to obtain fast in vivo diagnosis of skin tumours. Raman spectroscopy measures molecular structure and may thus have potential as a tool for skin tumour diagnosis. The purpose of this study was to investigate how skin pigmentation influenced the Raman spectra and skin tumour diagnostics in vivo. We obtained Raman spectra in vivo from the normal skin of 55 healthy persons with different skin pigmentation (Fitzpatrick skin type I-VI) and in vivo from 25 basal cell carcinomas, 41 pigmented nevi and 15 malignant melanomas. Increased skin pigmentation resulted in a higher spectral background caused by fluorescence, which could be removed by background correction. After background correction, we found only a negligible effect of pigmentation on the major spectral bands, and the comparison of the intensity of these bands allowed us to differentiate between normal skin and the different skin lesions independent of skin type. The diagnosis of skin lesions is possible due to significant (p < 0.05) differences found in the water band around 3250 cm(-1), the protein specific band around 1250 cm(-1) (amide-III) and the amide-III ratio that describes the protein/lipid ratio by comparing bands around 1250 cm(-1) with bands around 1300 cm(-1). We have shown that NIR-FT Raman spectroscopy is useable for malignant melanoma and basal cell carcinoma diagnostics in vivo and that pigmentation of the skin or lesion does not influence the diagnosis, but larger data sets are required to establish accurate diagnostic power.

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Year:  2013        PMID: 23348560     DOI: 10.1039/c3pp25344a

Source DB:  PubMed          Journal:  Photochem Photobiol Sci        ISSN: 1474-905X            Impact factor:   3.982


  8 in total

1.  Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma.

Authors:  Knipfer Christian; Motz Johanna; Adler Werner; Brunner Kathrin; Gebrekidan Medhaine Tesfay; Hankel Robert; Agaimy Abbas; Will Stefan; Braeuer Andreas; Neukam Friedrich Wilhelm; Stelzle Florian
Journal:  Biomed Opt Express       Date:  2014-08-28       Impact factor: 3.732

Review 2.  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

Review 3.  Point of care cutaneous imaging technology in melanoma screening and mole mapping.

Authors:  H William Higgins; Kachiu C Lee; David J Leffell
Journal:  F1000Prime Rep       Date:  2014-05-06

4.  Real-time In vivo Diagnosis of Nasopharyngeal Carcinoma Using Rapid Fiber-Optic Raman Spectroscopy.

Authors:  Kan Lin; Wei Zheng; Chwee Ming Lim; Zhiwei Huang
Journal:  Theranostics       Date:  2017-08-18       Impact factor: 11.556

5.  Novel Non-Invasive Quantification and Imaging of Eumelanin and DHICA Subunit in Skin Lesions by Raman Spectroscopy and MCR Algorithm: Improving Dysplastic Nevi Diagnosis.

Authors:  José Javier Ruiz; Monica Marro; Ismael Galván; José Bernabeu-Wittel; Julián Conejo-Mir; Teresa Zulueta-Dorado; Ana Belén Guisado-Gil; Pablo Loza-Álvarez
Journal:  Cancers (Basel)       Date:  2022-02-18       Impact factor: 6.639

6.  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

7.  Raman characterizations of red blood cells with β-thalassemia using laser tweezers Raman spectroscopy.

Authors:  Wenguang Jia; Ping Chen; Wenqiang Chen; Yongqing Li
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.889

Review 8.  Accuracy of Raman spectroscopy for differentiating skin cancer from normal tissue.

Authors:  Jing Zhang; Yimeng Fan; Yanlin Song; Jianguo Xu
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

  8 in total

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