کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9263283 | 1216024 | 2005 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Diagnosis of cerebral cryptococcoma using a computerized analysis of 1H NMR spectra in an animal model
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
میکروبیولوژی و بیوتکنولوژی کاربردی
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چکیده انگلیسی
Viable cryptococci load in biopsy material from an animal model of cerebral cryptococcoma were correlated with 1H NMR spectra and metabolite profiles. A statistical classification strategy was applied to distinguish among high-resolution 1H NMR spectra acquired from cryptococcomas, glioblastomas, and normal brain tissue. The overall classification accuracy was 100% when a genetic-algorithm-based optimal region selection preceded the development of linear discriminant analysis-based classifiers. The method remained robust despite differences in the microbial load of the cryptococcoma group when harvested at different time points. These results indicate the feasibility of the method for diagnosis without isolation of the pathogenic microorganism and its potential for in vivo diagnosis based on computerized analysis of magnetic resonance spectra.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Diagnostic Microbiology and Infectious Disease - Volume 52, Issue 2, June 2005, Pages 101-105
Journal: Diagnostic Microbiology and Infectious Disease - Volume 52, Issue 2, June 2005, Pages 101-105
نویسندگان
Theresa E. Dzendrowskyj, Brion Dolenko, Tania C. Sorrell, Rajmund L. Somorjai, Richard Malik, Carolyn E. Mountford, Uwe Himmelreich,