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Advanced statistical techniques applied to comprehensive FTIR spectra on human colonic tissues.
Zwielly, A; Mordechai, S; Sinielnikov, I; Salman, A; Bogomolny, E; Argov, S.
Afiliación
  • Zwielly A; Department of Physics, Cancer Research Center, Ben-Gurion University (BGU), Beer-Sheva 84105, Israel.
Med Phys ; 37(3): 1047-55, 2010 Mar.
Article en En | MEDLINE | ID: mdl-20384240
PURPOSE: Colon cancer is a major public health problem due to its high disease rate and death toll worldwide. The use of FTIR microscopy in the field of cancer diagnosis has become attractive over the past 20 years. In the present study, the authors investigated the potential of FTIR microscopy to define spectral changes among normal, polyp, and cancer human colonic biopsied tissues. METHODS: A large database of FTIR microscopic spectra was compiled from 230 human colonic biopsies. The database was divided into five subgroups: Normal, cancerous tissues, and three stages of benign colonic polyps, namely, mild, moderate, and severe polyps, which are precursors of carcinoma. All biopsied tissue sections were classified concurrently by an expert pathologist. The authors applied the principal components analysis (PCA) model to reduce the dimension of the original data size to 13 principal components. RESULTS: While PCA analysis shows only partial success in distinguishing among cancer, polyp, and the normal tissues, multivariate analysis (e.g., LDA) shows a promising distinction even within the polyp subgroups. CONCLUSIONS: Good classification accuracy among normal, polyp, and cancer groups was achieved with a success rate of approximately 85%. These results strongly support the potential of developing FTIR microscopy as a simple, reagent-free tool for early detection of colon cancer and, in particular, for discriminating among the benign premalignant colonic polyps having increasing degrees of dysplasia severity (mild, moderate, and severe).
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Biomarcadores de Tumor / Diagnóstico por Computador / Espectroscopía Infrarroja por Transformada de Fourier / Neoplasias del Colon Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2010 Tipo del documento: Article País de afiliación: Israel Pais de publicación: Estados Unidos
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Biomarcadores de Tumor / Diagnóstico por Computador / Espectroscopía Infrarroja por Transformada de Fourier / Neoplasias del Colon Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2010 Tipo del documento: Article País de afiliación: Israel Pais de publicación: Estados Unidos