Journal of Cancer Research and Clinical Oncology

, Volume 133, Issue 12, pp 1001–1010

Diagnosis of basal cell carcinoma by infrared spectroscopy of whole blood samples applying soft independent modeling class analogy

  • Mohammadreza Khanmohammadi
  • Razieh Nasiri
  • Keyvan Ghasemi
  • Simin Samani
  • Amir Bagheri Garmarudi
Original Paper

DOI: 10.1007/s00432-007-0286-x

Cite this article as:
Khanmohammadi, M., Nasiri, R., Ghasemi, K. et al. J Cancer Res Clin Oncol (2007) 133: 1001. doi:10.1007/s00432-007-0286-x

Abstract

Attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy was applied to discriminate the blood samples obtained from healthy people and those with basal cell carcinoma, demonstrating high accuracy while soft independent modeling class analogy (SIMCA) chemometric technique is benefited. It was aimed to classify the normal case and cancer case blood samples through the use of ATR-FTIR spectroscopy as a rapid method while the sample preparation is so easy in comparison with the common pathologic methods. A total of 72 blood samples, including 32 cancer and 40 normal cases, were analyzed in 1,800–900 cm−1 spectral region. Results showed 97.6% of accuracy being compared with the current clinical methods. Research results were exemplified with comparable data of other classification methods such as principal component analysis (PCA) and Cluster analysis. The residual errors in prediction (REP) of calibration model for normal and cancerous groups in SIMCA method were 0.00362 and 0.00343, respectively.

Keywords

SIMCA BCC Classification ATR-FTIR Spectrometry Blood 

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Mohammadreza Khanmohammadi
    • 1
  • Razieh Nasiri
    • 1
  • Keyvan Ghasemi
    • 1
  • Simin Samani
    • 2
  • Amir Bagheri Garmarudi
    • 1
  1. 1.Department of Chemistry, Faculty of ScienceImam Khomeini International UniversityQazvinIran
  2. 2.School of MedicineQazvin University of Medical SciencesQazvinIran

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