Label-free classification of colon cancer grading using infrared spectral histopathology

被引:49
作者
Kuepper, C. [1 ]
Grosserueschkamp, F. [1 ]
Kallenbach-Thieltges, A. [1 ]
Mosig, A. [1 ]
Tannapfel, A. [2 ]
Gerwert, K. [1 ]
机构
[1] Ruhr Univ Bochum, Fac Biol & Biotechnol, Chair Biophys, Univ Str 150, Bochum, Germany
[2] Ruhr Univ Bochum, Inst Pathol, Univ Str 150, Bochum, Germany
关键词
RISK-FACTORS; TISSUE; CELLS; IR; IMMUNOHISTOCHEMISTRY; DIFFERENTIATION; MICROSCOPY;
D O I
10.1039/c5fd00157a
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In recent years spectral histopathology (SHP) has been established as a label-free method to identify cancer within tissue. Herein, this approach is extended. It is not only used to identify tumour tissue with a sensitivity of 94% and a specificity of 100%, but in addition the tumour grading is determined. Grading is a measure of how much the tumour cells differ from the healthy cells. The grading ranges from G1 (well-differentiated), to G2 (moderately differentiated), G3 (poorly differentiated) and in rare cases to G4 (anaplastic). The grading is prognostic and is needed for the therapeutic decision of the clinician. The presented results show good agreement between the annotation by SHP and by pathologists. A correlation matrix is presented, and the results show that SHP provides prognostic values in colon cancer, which are obtained in a label-free and automated manner. It might become an important automated diagnostic tool at the bedside in precision medicine.
引用
收藏
页码:105 / 118
页数:14
相关论文
共 34 条
  • [1] American Cancer Society, COL CANC
  • [2] Brain tissue characterisation by infrared imaging in a rat glioma model
    Amharref, Nadia
    Bejebbar, Abdelilah
    Dukic, Sylvain
    Venteo, Lydie
    Schneider, Laurence
    Pluot, Michel
    Vistelle, Richard
    Manfait, Michel
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES, 2006, 1758 (07): : 892 - 899
  • [3] Avwioro G., 2011, Journal of Pharmacy and Clinical Sciences, V1, P24
  • [4] The inherent problem of transflection-mode infrared spectroscopic microscopy and the ramifications for biomedical single point and imaging applications
    Bassan, Paul
    Lee, Joe
    Sachdeva, Ashwin
    Pissardini, Juliana
    Dorling, Konrad M.
    Fletcher, John S.
    Henderson, Alex
    Gardner, Peter
    [J]. ANALYST, 2013, 138 (01) : 144 - 157
  • [5] FTIR microscopy of biological cells and tissue: data analysis using resonant Mie scattering (RMieS) EMSC algorithm
    Bassan, Paul
    Sachdeva, Ashwin
    Kohler, Achim
    Hughes, Caryn
    Henderson, Alex
    Boyle, Jonathan
    Shanks, Jonathan H.
    Brown, Michael
    Clarke, Noel W.
    Gardner, Peter
    [J]. ANALYST, 2012, 137 (06) : 1370 - 1377
  • [6] Resonant Mie Scattering (RMieS) correction of infrared spectra from highly scattering biological samples
    Bassan, Paul
    Kohler, Achim
    Martens, Harald
    Lee, Joe
    Byrne, Hugh J.
    Dumas, Paul
    Gazi, Ehsan
    Brown, Michael
    Clarke, Noel
    Gardner, Peter
    [J]. ANALYST, 2010, 135 (02) : 268 - 277
  • [7] Resonant Mie scattering in infrared spectroscopy of biological materials - understanding the 'dispersion artefact'
    Bassan, Paul
    Byrne, Hugh J.
    Bonnier, Franck
    Lee, Joe
    Dumas, Paul
    Gardner, Peter
    [J]. ANALYST, 2009, 134 (08) : 1586 - 1593
  • [8] Bhargava R., 2002, PITTCON
  • [9] Infrared spectral histopathology (SHP): a novel diagnostic tool for the accurate classification of lung cancer
    Bird, Benjamin
    Miljkovic, Milos
    Remiszewski, Stan
    Akalin, Ali
    Kon, Mark
    Diem, Max
    [J]. LABORATORY INVESTIGATION, 2012, 92 (09) : 1358 - 1373
  • [10] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32