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Comparative Study
. 2007 Dec;133(12):1001-10.
doi: 10.1007/s00432-007-0286-x. Epub 2007 Aug 2.

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

Mohammadreza Khanmohammadi  1 , Razieh Nasiri, Keyvan Ghasemi, Simin Samani, Amir Bagheri Garmarudi
Affiliations
Comparative Study

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

Mohammadreza Khanmohammadi et al. J Cancer Res Clin Oncol. 2007 Dec.

Erratum in

  • J Cancer Res Clin Oncol. 2007 Dec;133(12):1023

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.

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Figures

Fig. 1
Fig. 1
Mid-IR absorbance spectra of normal case and cancer case blood samples
Fig. 2
Fig. 2
The dendrogram of cluster analysis (with no clear classification) for 30 blood samples. Normal case samples are 1–15 and cancer case samples are 16–30 (left to right)
Fig. 3
Fig. 3
3-D score plot of calibration by PCA (a) and loading plot for calibration data set by PCA (b); no significant separation could be observed
Fig. 4
Fig. 4
PRESS chart after SIMCA exert for class1 (normal case; a) and class2 (cancer case; b)
Fig. 5
Fig. 5
Capability of classification based on best factor of class 1(normal case; a) and class2 (cancer case; b). Each color denotes one class
See this image and copyright information in PMC

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