In and ex vivo breast disease study by Raman spectroscopy

被引:0
|
作者
L. Raniero
R. A. Canevari
L. N. Z. Ramalho
F. S. Ramalho
E. A. P. dos Santos
R. A. Bitar
K. J. Jalkanen
H. S. Martinho
A. A. Martin
机构
[1] Universidade do Vale do Paraíba,Laboratory of Biomedical Vibrational Spectroscopy (LEVB), Institute of Research and Development, IP&D
[2] UniVap,Departamento de Patologia e Medicina Legal, Faculdade de Medicina de Ribeirão Preto
[3] Universidade de São Paulo,Department of Physics, Quantum Protein (QuP) Center
[4] Technical University of Denmark,Centro de Ciências Naturais e Humanas
[5] Universidade Federal do ABC,undefined
来源
Theoretical Chemistry Accounts | 2011年 / 130卷
关键词
Breast cancer; Raman spectroscopy; Receiver operator characteristic curve; Principal component analysis; Quadratic discriminant analysis; Cancer detection; Cancer diagnostic; Optical biopsy;
D O I
暂无
中图分类号
学科分类号
摘要
In this work, Raman spectra in the 900–1,800 cm−1 wavenumber region of in vivo and ex vivo breast tissues of both healthy mice (normal) and mice with induced mammary gland tumors (abnormal) were measured. In the case of the in vivo tissues, the Raman spectra were collected for both transcutaneous (with skin) and skin-removed tissues. To identify the spectral differences between normal and cancer breast tissue, the paired t-test was carried out for each wavenumber using the whole spectral range from both groups. Quadratic discriminate analysis based on principal component analysis (PCA) was also used to determine and evaluate differences in the Raman spectra for the various samples as a basis for diagnostic purposes. The differences in the Raman spectra of the samples were due to biochemical changes at the molecular, cellular and tissue levels. The sensitivity and specificity of the classification scheme based on the differences in the Raman spectra obtained by PCA were evaluated using the receiver operating characteristic (ROC) curve. The in vivo transcutaneous normal and abnormal tissues were correctly classified based on their measured Raman spectra with a discriminant proportion of 73%, while the in vivo skin-removed normal and abnormal tissues were correctly classified again based on their measured Raman spectra with a discriminant proportion of 86%. This result reveals a strong influence due to the skin of the breast, which decreased the specificity by 11%. Finally, the results from ex vivo measurements gave the highest specificity and sensitivity: 96 and 97%, respectively, as well as a largest percentage for correct discrimination: 94%. Now that the important bands have been experimentally determined in this and other works, what remains is for first principles molecular-level simulations to determine whether the changes are simply due to conformational changes, due to aggregation, due to changes in the environment, or complex interactions of all of the above.
引用
收藏
页码:1239 / 1247
页数:8
相关论文
共 50 条
  • [41] Autofluorescence-Raman Spectroscopy for Ex Vivo Mapping Colorectal Liver Metastases and Liver Tissue
    Corden, Christopher
    Boitor, Radu
    Dusanjh, Palminder Kaur
    Harwood, Andrew
    Mukherjee, Abhik
    Gomez, Dhanwant
    Notingher, Ioan
    JOURNAL OF SURGICAL RESEARCH, 2023, 288 : 10 - 20
  • [42] RAMAN SPECTROSCOPY STUDY OF HEALTHY AND CANCEROUS HUMAN BREAST TISSUE FOR CANCER DETECTION
    Jain, Gourav Kumar
    Verma, Rajni
    Chougule, Arun
    Singh, Bharti
    EXPLORATORY ANIMAL AND MEDICAL RESEARCH, 2022, 12 (02) : 160 - 166
  • [43] Ex vivo assessment of basal cell carcinoma surgical margins in Mohs surgery by autofluorescence-Raman spectroscopy: A pilot study
    Boitor, Radu
    Varma, Sandeep
    Sharma, Ashish
    Elsheikh, Somaia
    Kulkarni, Kusum
    Eldib, Karim
    Jerrom, Richard
    Odedra, Sunita
    Patel, Anand
    Koloydenko, Alexey
    Williams, Hywel
    Notingher, Ioan
    JEADV CLINICAL PRACTICE, 2024, 3 (02): : 498 - 507
  • [44] Feasibility Study of Raman Spectroscopy for Investigating the Mouse Retina in vivo
    Manna, Suman K.
    de Oliveira, Marcos A. S.
    Zhang, Pengfei
    Maleppat, Ratheesh K.
    Chang, Che-Wei
    Pugh, Edward N., Jr.
    Chan, James
    Zawadzki, Robert J.
    OPHTHALMIC TECHNOLOGIES XXVIII, 2018, 10474
  • [45] Evaluation of the diagnostic potential of ex vivo Raman spectroscopy in gastric cancers: fingerprint versus high wavenumber
    Zhou, Xueqian
    Dai, Jianhua
    Chen, Yao
    Duan, Guangjie
    Liu, Yulong
    Zhang, Hua
    Wu, Hongbo
    Peng, Guiyong
    JOURNAL OF BIOMEDICAL OPTICS, 2016, 21 (10)
  • [46] Investigating marine bio-calcification mechanisms in a changing ocean with in vivo and high-resolution ex vivo Raman spectroscopy
    DeCarlo, Thomas M.
    Comeau, Steeve
    Cornwall, Christopher E.
    Gajdzik, Laura
    Guagliardo, Paul
    Sadekov, Aleksey
    Thillainath, Emma C.
    Trotter, Julie
    McCulloch, Malcolm T.
    GLOBAL CHANGE BIOLOGY, 2019, 25 (05) : 1877 - 1888
  • [47] FT-Raman spectroscopy study of human breast tissue
    Carter, RAB
    Martin, AA
    Netto, MM
    Soares, FA
    BIOMEDICAL VIBRATIONAL SPECTROSCOPY AND BIOHAZARD DETECTION TECHNOLOGIES, 2004, 5321 : 190 - 197
  • [48] Ex vivo feasibility study of endoscopic intraductal laser ablation of the breast
    de Boorder, Tjeerd
    Waaijer, Laurien
    van Diest, Paul J.
    Witkamp, Arjen J.
    LASERS IN SURGERY AND MEDICINE, 2018, 50 (02) : 137 - 142
  • [49] Discrimination of non-melanoma skin cancer and keratosis from normal skin tissue in vivo and ex vivo by Raman spectroscopy
    Ferreira Lima, Ana Mara
    Daniel, Camila Ribeiro
    Navarro, Ricardo Scarparo
    Bodanese, Benito
    Pasqualucci, Carlos Augusto
    Tavares Pacheco, Marcos Tadeu
    Zangaro, Renato Amaro
    Silveira Jr, Landulfo
    VIBRATIONAL SPECTROSCOPY, 2019, 100 : 131 - 141
  • [50] Raman spectroscopy and machine learning for the classification of breast cancers
    Zhang, Lihao
    Li, Chengjian
    Peng, Di
    Yi, Xiaofei
    He, Shuai
    Liu, Fengxiang
    Zheng, Xiangtai
    Huang, Wei E.
    Zhao, Liang
    Huang, Xia
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2022, 264