Combined Raman spectroscopy and autofluoresence imaging method for in vivo skin tumor diagnosis

被引：11

作者：

Zakharov, V. P. ^{[1
]}

Bratchenko, I. A. ^{[1
]}

Myakinin, O. O. ^{[1
]}

Artemyev, D. N. ^{[1
]}

Khristoforova, Y. A. ^{[1
]}

Kozlov, S. V. ^{[2
]}

Moryatov, A. A. ^{[2
]}

机构：

[1] Samara State Aerosp Univ, Dept Laser & Biotech Syst, Moskovskoe Shosse Str 34, Samara 443086, Russia

[2] Samara State Med Univ, Dept Oncol, Samara 443099, Russia

来源：

ULTRAFAST NONLINEAR IMAGING AND SPECTROSCOPY II | 2014年 / 9198卷

关键词：

Raman spectroscopy; autofluorescence; skin cancer; malignant melanoma; biological tissue; discriminant analysis; LIGHT-INDUCED AUTOFLUORESCENCE; TISSUES;

D O I：

10.1117/12.2061667

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The fluorescence and Raman spectroscopy (RS) combined method of in vivo detection of malignant human skin cancer was demonstrated. The fluorescence analysis was used for detection of abnormalities during fast scanning of large tissue areas. In suspected cases of malignancy the Raman spectrum analysis of biological tissue was performed to determine the type of neoplasm. A special RS phase method was proposed for in vivo identification of skin tumor. Quadratic Discriminant Analysis was used for tumor type classification on phase planes. It was shown that the application of phase method provides a diagnosis of malignant melanoma with a sensitivity of 89% and a specificity of 87%.

引用

页数：8

共 27 条

[1]

Andersson-Engels S, 2000, LASER SURG MED, V26, P76, DOI 10.1002/(SICI)1096-9101(2000)26:1<76::AID-LSM11>3.0.CO

[2]

2-4

[3]

Bigio IJ, 2003, ENCY OPTICAL ENG, P1577

[4] Diagnostics of pigmented skin tumors based on laser-induced autofluorescence and diffuse reflectance spectroscopy [J].

Borisova, E. ;

Troyanova, P. ;

Pavlova, P. ;

Avramov, L. .

QUANTUM ELECTRONICS, 2008, 38 (06) :597-605

[5] Light-induced autofluorescence and diffuse reflectance spectroscopy in clinical diagnosis of skin cancer [J].

Borisova, E. ;

Pavlova, E. ;

Kundurjiev, T. ;

Troyanova, P. ;

Genova, Ts. ;

Avramov, L. .

BIOPHOTONICS: PHOTONIC SOLUTIONS FOR BETTER HEALTH CARE IV, 2014, 9129

[6]

Boyle P., 2008, WORLD CANC REPORT 20, P510

[7] Detection of melanomas by digital imaging of spectrally resolved ultraviolet light-induced autofluorescence of human skin [J].

Chwirot, BW ;

Chwirot, S ;

Redzinski, J ;

Michniewicz, Z .

EUROPEAN JOURNAL OF CANCER, 1998, 34 (11) :1730-1734

[8] Discrimination between nontumor bladder tissue and tumor by Raman spectroscopy [J].

de Jong, Bas W. D. ;

Bakker, Tom C. Schut ;

Maquelin, Kees ;

van der Kwast, Theo ;

Bangma, Chris H. ;

Kok, Dirk-Jan ;

Puppels, Gerwin J. .

ANALYTICAL CHEMISTRY, 2006, 78 (22) :7761-7769

[9] Melanoma diagnosis by Raman spectroscopy and neural networks: Structure alterations in proteins and lipids in intact cancer tissue [J].

Gniadecka, M ;

Philipsen, PA ;

Sigurdsson, S ;

Wessel, S ;

Nielsen, OF ;

Christensen, DH ;

Hercogova, J ;

Rossen, K ;

Thomsen, HK ;

Gniadecki, R ;

Hansen, LK ;

Wulf, HC .

JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2004, 122 (02) :443-449

[10] Diagnosing breast cancer using Raman spectroscopy: prospective analysis [J].

Haka, Abigail S. ;

Volynskaya, Zoya ;

Gardecki, Joseph A. ;

Nazemi, Jon ;

Shenk, Robert ;

Wang, Nancy ;

Dasari, Ramachandra R. ;

Fitzmaurice, Maryann ;

Feld, Michael S. .

JOURNAL OF BIOMEDICAL OPTICS, 2009, 14 (05)

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