Investigating FTIR based histopathology for the diagnosis of prostate cancer

Matthew J. Baker; Ehsan Gazi; Michael D. Brown; Jonathan H. Shanks; Noel W. Clarke; Peter Gardner

doi:10.1002/jbio.200810062

Investigating FTIR based histopathology for the diagnosis of prostate cancer

Matthew J. Baker, Ehsan Gazi, Michael D. Brown, Jonathan H. Shanks, Noel W. Clarke, Peter Gardner

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Abstract

Prostate cancer is the most common gender specific cancer. The current gold standard for diagnosis, histopathology, is subjective and limited by variation between different pathologists. The diagnostic problems associated with the correct grading and staging of prostate cancer (CaP) has led to an interest in the development of spectroscopic based diagnostic techniques. ITIR microspectroscopy used in combination with a Principal Component Discriminant Function Analysis (PC-DIA) was applied to investigate FTIR based hislopathology for the diagnosis of CaP In this paper we report the results of a large patient study in which FTIR has been proven to grade Cal' tissue specimens lo a high degree of sensitivity and A representation of the use of infrared light to classify cancerous prostate tissue. copy; 2009 by WILEY-VCH Verlag GmbH & Co. KGaA.

Original language	English
Pages (from-to)	104-113
Number of pages	9
Journal	Journal of biophotonics
Volume	2
Issue number	1-2
DOIs	https://doi.org/10.1002/jbio.200810062
Publication status	Published - Feb 2009

Keywords

FTIR
Histopathology
Infrared
Microspectroscopy
Molecular diagnosis
Multivariate analysis
Prostate cancer (CaP)
Vibrational spectroscopy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Investigating FTIR based histopathology for the diagnosis of prostate cancer",

abstract = "Prostate cancer is the most common gender specific cancer. The current gold standard for diagnosis, histopathology, is subjective and limited by variation between different pathologists. The diagnostic problems associated with the correct grading and staging of prostate cancer (CaP) has led to an interest in the development of spectroscopic based diagnostic techniques. ITIR microspectroscopy used in combination with a Principal Component Discriminant Function Analysis (PC-DIA) was applied to investigate FTIR based hislopathology for the diagnosis of CaP In this paper we report the results of a large patient study in which FTIR has been proven to grade Cal' tissue specimens lo a high degree of sensitivity and A representation of the use of infrared light to classify cancerous prostate tissue. copy; 2009 by WILEY-VCH Verlag GmbH \& Co. KGaA.",

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author = "Baker, \{Matthew J.\} and Ehsan Gazi and Brown, \{Michael D.\} and Shanks, \{Jonathan H.\} and Clarke, \{Noel W.\} and Peter Gardner",

year = "2009",

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doi = "10.1002/jbio.200810062",

language = "English",

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T1 - Investigating FTIR based histopathology for the diagnosis of prostate cancer

AU - Baker, Matthew J.

AU - Gazi, Ehsan

AU - Brown, Michael D.

AU - Shanks, Jonathan H.

AU - Clarke, Noel W.

AU - Gardner, Peter

PY - 2009/2

Y1 - 2009/2

N2 - Prostate cancer is the most common gender specific cancer. The current gold standard for diagnosis, histopathology, is subjective and limited by variation between different pathologists. The diagnostic problems associated with the correct grading and staging of prostate cancer (CaP) has led to an interest in the development of spectroscopic based diagnostic techniques. ITIR microspectroscopy used in combination with a Principal Component Discriminant Function Analysis (PC-DIA) was applied to investigate FTIR based hislopathology for the diagnosis of CaP In this paper we report the results of a large patient study in which FTIR has been proven to grade Cal' tissue specimens lo a high degree of sensitivity and A representation of the use of infrared light to classify cancerous prostate tissue. copy; 2009 by WILEY-VCH Verlag GmbH & Co. KGaA.

AB - Prostate cancer is the most common gender specific cancer. The current gold standard for diagnosis, histopathology, is subjective and limited by variation between different pathologists. The diagnostic problems associated with the correct grading and staging of prostate cancer (CaP) has led to an interest in the development of spectroscopic based diagnostic techniques. ITIR microspectroscopy used in combination with a Principal Component Discriminant Function Analysis (PC-DIA) was applied to investigate FTIR based hislopathology for the diagnosis of CaP In this paper we report the results of a large patient study in which FTIR has been proven to grade Cal' tissue specimens lo a high degree of sensitivity and A representation of the use of infrared light to classify cancerous prostate tissue. copy; 2009 by WILEY-VCH Verlag GmbH & Co. KGaA.

KW - FTIR

KW - Histopathology

KW - Infrared

KW - Microspectroscopy

KW - Molecular diagnosis

KW - Multivariate analysis

KW - Prostate cancer (CaP)

KW - Vibrational spectroscopy

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U2 - 10.1002/jbio.200810062

DO - 10.1002/jbio.200810062

M3 - Article

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VL - 2

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EP - 113

JO - Journal of biophotonics

JF - Journal of biophotonics

IS - 1-2

ER -

Investigating FTIR based histopathology for the diagnosis of prostate cancer

Abstract

Keywords

UN SDGs

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