Differentiation of Cancerous Prostate tissue from Non-Cancerous Prostate tissue by using Elastic Light Single-Scattering Spectroscopy: A Feasibility Study
Elastic light single-scattering spectroscopy system
with a single optical fiber probe was employed to differentiate cancerous prostate tissue from non-cancerous prostate tissue ex-vivo just after radical prostatectomy. First, ELSSS spectra were acquired
from cancerous prostate tissue to define its spectral features. Then,
spectra were acquired from normal prostate tissue to define difference in spectral features between the cancerous and normal
prostate tissues. Of the total 66 tissue samples were evaluated from
nine patients by ELSSS system. Comparing of histopathology results
and ELSSS measurements revealed that sign of the spectral slopes of
cancerous prostate tissue is negative and non-cancerous tissue is positive in the wavelength range from 450 to 750 nm. Based on the
correlation between histopathology results and sign of the spectral
slopes, ELSSS system differentiates cancerous prostate tissue from
non- cancerous with a sensitivity of 0.95 and a specificity of 0.94.
[1] P. Boyle, and J. Ferlay, "Cancer incidence and mortality in Europe",
Ann Oncol, vol. 16, pp. 481 - 488, Mar. 2005.
[2] K. Bensalah, A. Tuncel, and D. Peshwani, "Optical reflectance spectroscopy to differentiate renal tumor from normal parenchyma", J
Urol, vol. 179, pp. 2010 - 2013, May 2008.
[3] K. Izuishi, H. Tajiri, T. Fujii, N. Boku, S. Yoshida, et al. "The
histological basis of detection of adenoma and cancer in the colon by autofluorescence endoscopic imaging", Endoscopy, vol. 31, pp. 511-
516, Sep 1999.
[4] L.T. Perelman, V. Backman, M. Wallace, G. Zonios, R. M.S. Feld et al.
"Observation of periodic fine structure in reflectance from biological
tissue: A new technique for measuring nuclear size distribution", Phys.
Rev. Lett, vol. 80, pp. 627-630, Jan 1998.
[5] I.J. Bigio, O. A'Amar, and M.S. Hirsch, "Elastic scattering spectroscopy
for detection of prostate cancer: preliminary feasibility study," in Proc.
Diagnostic Optical Spectroscopy in Biomedicine II. SPIE-OSA Biomed
Optics, Germany, 2003, pp. 142-146.
[6] M. Canpolat and J. R. Mourant, "Particle size analysis of turbid media
with a single optical fiber in contact with the medium to deliver and detect white light", Appl. Opt., vol. 40, pp. 3792 - 3799 , June 2001.
[7] A. Amelink, Martin P.L. Bard, S.A. Burgers, Henricus J.C.M.
Sterenborg, "Single-scattering spectroscopy for the endoscopic analysis
of particle size in superficial layers of turbid media", Appl. Opt., vol.
42, pp. 4095-4101, July 2003.
[8] M. Canpolat, A. Akman, M.A. Çiftçioğlu, E. Alpsoy, "Detecting skin
malignancy using elastic light scattering spectroscopy," in Proc. European Conference on Biomedical Optics (ECBO) SPIE, Germany,
2007, pp. 6628.
[9] M. Canpolat, A. Aky├╝z, G.A. Gökhan, E.─É. G├╝rer, R. Tuncer,
"Intraoperative brain tumor detection using elastic light single-scattering
spectroscopy : a feasibility study ", J. Biomed Opt., vol. 14, pp. 054021, Oct. 2009.
[10] M. Canpolat, G.A. Gökhan, M.A. ├çift├ºio─ƒlu, N. Erin, "Differentiation of
melanoma from non-cancerous tissue in an animal model using elastic
light Single-Scattering Spectroscopy", Technology in Cancer Research
and Treatment. vol. 3, pp. 235-240, June 2008.
[11] J. Beuthan, O. Mine, J. Helfmann, M. Herrig, and G. Muller, "The spatial variation of the refractive index in biological cells", Phys. Med.
Biol. vol. 41, pp. 369-382, Mar. 1996.
[12] J.R. Mourant, J.P. Freyer, A.H. Hielscher, "Mechanism of light scattering from biological cells relevant to noninvasive optical-tissue
diagnostics", Appl Opt. vol. 37, pp. 3586-3593, Jun.1998.
[13] S.B. Kim, C. Temiyasathit, K. Bensalah, A. Tuncel, "An effective
classification procedure for diagnosis of prostate cancer in near infrared
spectra", Expert Systems with Appl. vol. 27, pp. 3863-3869, May. 2010.
[1] P. Boyle, and J. Ferlay, "Cancer incidence and mortality in Europe",
Ann Oncol, vol. 16, pp. 481 - 488, Mar. 2005.
[2] K. Bensalah, A. Tuncel, and D. Peshwani, "Optical reflectance spectroscopy to differentiate renal tumor from normal parenchyma", J
Urol, vol. 179, pp. 2010 - 2013, May 2008.
[3] K. Izuishi, H. Tajiri, T. Fujii, N. Boku, S. Yoshida, et al. "The
histological basis of detection of adenoma and cancer in the colon by autofluorescence endoscopic imaging", Endoscopy, vol. 31, pp. 511-
516, Sep 1999.
[4] L.T. Perelman, V. Backman, M. Wallace, G. Zonios, R. M.S. Feld et al.
"Observation of periodic fine structure in reflectance from biological
tissue: A new technique for measuring nuclear size distribution", Phys.
Rev. Lett, vol. 80, pp. 627-630, Jan 1998.
[5] I.J. Bigio, O. A'Amar, and M.S. Hirsch, "Elastic scattering spectroscopy
for detection of prostate cancer: preliminary feasibility study," in Proc.
Diagnostic Optical Spectroscopy in Biomedicine II. SPIE-OSA Biomed
Optics, Germany, 2003, pp. 142-146.
[6] M. Canpolat and J. R. Mourant, "Particle size analysis of turbid media
with a single optical fiber in contact with the medium to deliver and detect white light", Appl. Opt., vol. 40, pp. 3792 - 3799 , June 2001.
[7] A. Amelink, Martin P.L. Bard, S.A. Burgers, Henricus J.C.M.
Sterenborg, "Single-scattering spectroscopy for the endoscopic analysis
of particle size in superficial layers of turbid media", Appl. Opt., vol.
42, pp. 4095-4101, July 2003.
[8] M. Canpolat, A. Akman, M.A. Çiftçioğlu, E. Alpsoy, "Detecting skin
malignancy using elastic light scattering spectroscopy," in Proc. European Conference on Biomedical Optics (ECBO) SPIE, Germany,
2007, pp. 6628.
[9] M. Canpolat, A. Aky├╝z, G.A. Gökhan, E.─É. G├╝rer, R. Tuncer,
"Intraoperative brain tumor detection using elastic light single-scattering
spectroscopy : a feasibility study ", J. Biomed Opt., vol. 14, pp. 054021, Oct. 2009.
[10] M. Canpolat, G.A. Gökhan, M.A. ├çift├ºio─ƒlu, N. Erin, "Differentiation of
melanoma from non-cancerous tissue in an animal model using elastic
light Single-Scattering Spectroscopy", Technology in Cancer Research
and Treatment. vol. 3, pp. 235-240, June 2008.
[11] J. Beuthan, O. Mine, J. Helfmann, M. Herrig, and G. Muller, "The spatial variation of the refractive index in biological cells", Phys. Med.
Biol. vol. 41, pp. 369-382, Mar. 1996.
[12] J.R. Mourant, J.P. Freyer, A.H. Hielscher, "Mechanism of light scattering from biological cells relevant to noninvasive optical-tissue
diagnostics", Appl Opt. vol. 37, pp. 3586-3593, Jun.1998.
[13] S.B. Kim, C. Temiyasathit, K. Bensalah, A. Tuncel, "An effective
classification procedure for diagnosis of prostate cancer in near infrared
spectra", Expert Systems with Appl. vol. 27, pp. 3863-3869, May. 2010.
@article{"International Journal of Medical, Medicine and Health Sciences:59410", author = "T. Denkçeken and M. Canpolat and Đ. Bassorgun and S. Yücel and M.A. Çiftçioğlu and M. Baykara
Murat Canpolat and Tuba Denkçeken and Đbrahim Bassorgun and Selçuk Yücel and M. Akif Çiftçioğlu and Mehmet
Baykara", title = "Differentiation of Cancerous Prostate tissue from Non-Cancerous Prostate tissue by using Elastic Light Single-Scattering Spectroscopy: A Feasibility Study", abstract = "Elastic light single-scattering spectroscopy system
with a single optical fiber probe was employed to differentiate cancerous prostate tissue from non-cancerous prostate tissue ex-vivo just after radical prostatectomy. First, ELSSS spectra were acquired
from cancerous prostate tissue to define its spectral features. Then,
spectra were acquired from normal prostate tissue to define difference in spectral features between the cancerous and normal
prostate tissues. Of the total 66 tissue samples were evaluated from
nine patients by ELSSS system. Comparing of histopathology results
and ELSSS measurements revealed that sign of the spectral slopes of
cancerous prostate tissue is negative and non-cancerous tissue is positive in the wavelength range from 450 to 750 nm. Based on the
correlation between histopathology results and sign of the spectral
slopes, ELSSS system differentiates cancerous prostate tissue from
non- cancerous with a sensitivity of 0.95 and a specificity of 0.94.", keywords = "Diagnosis, prostatic neoplasm, prostatectomy, spectrum analysis", volume = "5", number = "11", pages = "603-3", }