Characterization of normal and malignant prostate tissue by Fourier transform infrared microspectroscopy

Molecular BioSystems

Volumn 6, Issue 11, 2010, Pages 2287-2295

  Pezzei, Christine ^a   Pallua, Johannes D ^a   Schaefer, Georg ^b   Seifarth, Christof ^b   Huck Pezzei, Verena ^a   Bittner, Lukas K ^a   Klocker, Helmut ^b   Bartsch, Georg ^b   Bonn, Guenther K ^a   Huck, Christian W ^a  

^a UNIVERSITY OF INNSBRUCK   (Austria)

^b INNSBRUCK MEDICAL UNIVERSITY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; FROZEN SECTION; HUMAN; INFRARED SPECTROSCOPY; MALE; METHODOLOGY; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROSTATE; PROSTATE TUMOR; STANDARD;

CLUSTER ANALYSIS; FROZEN SECTIONS; HUMANS; MALE; PRINCIPAL COMPONENT ANALYSIS; PROSTATE; PROSTATIC NEOPLASMS; REFERENCE STANDARDS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

EID: 77957896109     PISSN: 1742206X     EISSN: 17422051     Source Type: Journal    
DOI: 10.1039/c0mb00041h     Document Type: Article

References (29)

1. P. Boyle G. Severi G. G. Giles The epidemiology of prostate cancer Urol. Clin. North Am. 2003 30 209 217
2. C. Stephan K. Jung M. Lein E. P. Diamandis PSA and other tissue kallikreins for prostate cancer detection Eur. J. Cancer 2007 43 1918 1926
3. V. Nelen Epidemiology of prostate cancer Recent Results Cancer Res. 2007 175 1 8
4. R. Pardal M. F. Clarke S. J. Morrison Applying the principles of stem-cell biology to cancer Nat. Rev. Cancer 2003 3 895 902
5. D. Hanahan R. A. Weinberg The hallmarks of cancer Cell (Cambridge, Mass.) 2000 100 57 70
6. I. M. Thompson et al., Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter N. Engl. J. Med. 2004 350 2239 2246
7. C. A. Seabury et al., Evaluation of a new serum testing method for detection of prostate cancer J. Urol. (Paris) 2002 168 93 99
8. D. F. Gleason Histologic grade, clinical stage, and patient age in prostate cancer Natl. Cancer Inst. Monogr. 1988 7 15 18
9. B. Djavan M. Remzi C. C. Schulman M. Marberger A. R. Zlotta Repeat prostate biopsy: who, how and when?: a review Eur. Urol. 2002 42 93 103
10. J. I. Epstein M. Herawi Prostate needle biopsies containing prostatic intraepithelial neoplasia or atypical foci suspicious for carcinoma: implications for patient care J. Urol. (Paris) 2006 175 820 834
11. C. H. Petter et al., Development and application of Fourier-transform infrared chemical imaging of tumour in human tissue Curr. Med. Chem. 2009 16 318 326
12. R. Bhargava Towards a practical Fourier transform infrared chemical imaging protocol for cancer histopathology Anal. Bioanal. Chem. 2007 389 1155 1169
13. G. Low et al., Role of imaging in clinical islet transplantation RadioGraphics 2010 30 353 366
14. B. Bird et al., Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology BMC Clinical Pathology 2008 8 8
15. R. Bhargava D. C. Fernandez S. M. Hewitt I. W. Levin High throughput assessment of cells and tissues: Bayesian classification of spectral metrics from infrared vibrational spectroscopic imaging data Biochim. Biophys. Acta, Biomembr. 2006 1758 830 845
16. D. C. Fernandez R. Bhargava S. M. Hewitt I. W. Levin Infrared spectroscopic imaging for histopathologic recognition Nat. Biotechnol. 2005 23 469 474
17. G. Steiner E. Koch Trends in Fourier transform infrared spectroscopic imaging Anal. Bioanal. Chem. 2009 394 671 678
18. B. R. Wood et al., FTIR microspectroscopic study of cell types and potential confounding variables in screening for cervical malignancies Biospectroscopy 1998 4 75 91
19. M. Romeo F. Burden M. Quinn B. Wood D. McNaughton Infrared microspectroscopy and artificial neural networks in the diagnosis of cervical cancer Cell. Mol. Biol. 1998 44 179 187
20. E. Ly et al., Combination of FTIR spectral imaging and chemometrics for tumour detection from paraffin-embedded biopsies Analyst 2008 133 197 205
21. P. Lasch D. Naumann FT-IR microspectroscopic imaging of human carcinoma thin sections based on pattern recognition techniques Cell. Mol. Biol. 1998 44 189
22. C. P. Schultz H. H. Mantsch Biochemical imaging and 2D classification of keratin pearl structures in oral squamous cell carcinoma Cell. Mol. Biol. (Noisy-le-Grand, France) 1998 44 203
23. M. Jackson B. Ramjiawan M. Hewko H. H. Mantsch Infrared microscopic functional group mapping and spectral clustering analysis of hypercholesterolemic rabbit liver Cell. Mol. Biol. 1998 44 89 98
24. M. Diem L. Chiriboga H. Yee Infrared spectroscopy of human cells and tissue. VIII. Strategies for analysis of infrared tissue mapping data and applications to liver tissue Biopolymers 2000 57 282 290
25. L. Zhang G. W. Small A. S. Haka L. H. Kidder E. N. Lewis Classification of Fourier transform infrared microscopic imaging data of human breast cells by cluster analysis and artificial neural networks Appl. Spectrosc. 2003 57 14 22
26. J. R. Mansfield M. G. Sowa G. B. Scarth R. L. Somorjai H. H. Mantsch Fuzzy C-means clustering and principal component analysis of time series from near-infrared imaging of forearm ischemia Computerized Medical Imaging and Graphics 1997 21 299 308
27. R. Dell'Anna et al., Pollen discrimination and classification by Fourier transform infrared (FT-IR) microspectroscopy and machine learning Anal. Bioanal. Chem. 2009 394 1443 1452
28. P. Lasch W. Haensch D. Naumann M. Diem Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis Biochim. Biophys. Acta, Mol. Basis Dis. 2004 1688 176 186
29. J. Guilment S. Markel W. Windig Infrared chemical micro-imaging assisted by interactive self-modeling multivariate analysis Appl. Spectrosc. 1994 48 320 326