Discriminating model for skin cancer diagnosisin vivothrough Raman spectroscopy

2013 ◽  
Author(s):  
Fabrício Luiz Silveira ◽  
Marcos Tadeu T. Pacheco ◽  
Benito Bodanese ◽  
Renato Amaro Zângaro ◽  
Landulfo Silveira
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer

Raman spectroscopy reveals biophysical markers in skin cancer surgical margins

2018 ◽  
Author(s):  
Xu Feng ◽  
Austin J. Moy ◽  
Hieu T. M. Nguyen ◽  
Yao Zhang ◽  
Matthew C. Fox ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
Surgical Margins

Raman spectroscopy study of a topical penetration of a new generation skin-cancer antineoplastic drug

2018 ◽  
Author(s):  
M.N. Calienni ◽  
J. Montanari ◽  
M.E. Tuttolomondo ◽  
G. Gomez ◽  
V. Alonso S. del ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
Antineoplastic Drug ◽  
Spectroscopy Study ◽  
New Generation

scholarly journals Assessment of Skin Deep Layer Biochemical Profile Using Spatially Offset Raman Spectroscopy

2021 ◽  
Vol 11 (20) ◽  
pp. 9498
Author(s):  
Martha Z. Vardaki ◽  
Konstantinos Seretis ◽  
Georgios Gaitanis ◽  
Ioannis D. Bassukas ◽  
Nikolaos Kourkoumelis
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
Deep Layer ◽  
Signal To Noise Ratio ◽  
Skin Tissue ◽  
Raman Signal ◽  
Histopathological Analysis ◽  
Biochemical Profile ◽  
Skin Cancer Screening ◽  
Zero Offset

Skin cancer is currently the most common type of cancer with millions of cases diagnosed worldwide yearly. The current gold standard for clinical diagnosis of skin cancer is an invasive and relatively time-consuming procedure, consisting of visual examination followed by biopsy collection and histopathological analysis. Raman spectroscopy has been shown to efficiently aid the non-invasive diagnosis of skin cancer when probing the surface of the skin. In this study, we employ a recent development of Raman spectroscopy (Spatially Offset Raman Spectroscopy, SORS) which is able to look deeper in tissue and create a deep layer biochemical profile of the skin in areas where cancer lesions subtly evolve. After optimizing the measurement parameters on skin tissue phantoms, we then adopted SORS on human skin tissue from different anatomical areas to investigate the contribution of the different skin layers to the recorded Raman signal. Our results show that using a diffuse beam with zero offset to probe a sampling volume where the lesion is typically included (surface to epidermis-dermis junction), provides the optimum signal-to-noise ratio (SNR) and may be employed in future skin cancer screening applications.

Superpixel Raman spectroscopy for rapid skin cancer margin assessment

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Xu Feng ◽  
Matthew C. Fox ◽  
Jason S. Reichenberg ◽  
Fabiana C.P.S. Lopes ◽  
Katherine R. Sebastian ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
Margin Assessment

Wavenumber selection based analysis in Raman spectroscopy improves skin cancer diagnostic specificity

The Analyst ◽  
2016 ◽  
Vol 141 (3) ◽  
pp. 1034-1043 ◽  
Author(s):  
Jianhua Zhao ◽  
Haishan Zeng ◽  
Sunil Kalia ◽  
Harvey Lui
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
High Sensitivity ◽  
Diagnostic Specificity ◽  
Cancer Diagnostic ◽  
Wavenumber Selection

Wavenumber selection based analysis with variably-sized windows was proposed, which improves skin cancer diagnostic specificity at high sensitivity levels.

Recent Advances in Real-Time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis

2015 ◽  
Author(s):  
Jianhua Zhao ◽  
Haishan Zeng ◽  
David I. McLean ◽  
Sunil Kalia ◽  
Harvey Lui
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
Real Time ◽  
Cancer Diagnosis ◽  
Recent Advances
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