Article ID Journal Published Year Pages File Type
531425 Pattern Recognition 2009 6 Pages PDF
Abstract

Because clinicians cannot determine suspicious thyroid neoplasms’ malignancy pre- or intra-operatively, they perform 55,000 US thyroid operations annually, cannot manage patients optimally and, thus, need better diagnostic markers. Though diagnostic ambiguity spurs research, the quest for molecular markers that distinguish benign from malignant thyroid tumor classes remains unfulfilled. That eight subtypes (four per class) define thyroid tumors introduces a degree of heterogeneity that presents the major analytic impediment. A novel query-based comparison approach can, however, reliably distinguish benign from malignant lesions by examining subtype relations in class-specific gene expression. We introduce this approach through microarray analysis of thyroid tumor subtypes.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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