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Nearest-neighbor classification for identification of aggressive versus nonaggressive low-grade astrocytic tumors by means of image cytometry-generated variables

Christine Decaestecker, Isabelle Salmon, Olivier Dewitte, Isabelle Camby, Philippe Van Ham, Jean-Lambert Pasteels, Jacques Brotchi, and Robert Kiss

chromatin patterns; 21, 22 and 2) the objective determination of the diagnosis and/or prognosis value contributed by each of these quantitative variables. Such an objective determination can be reached by means of artificial intelligence—related algorithms. 9 In the current study we focus our attention on the biological frontier that might form a distinction between low- and high-grade astrocytic tumors. Morphonuclear (that is, nucleus morphology and chromatin pattern) and DNA content—related variables were used to characterize the biological profiles of these

In Journal of Neurosurgery Volume 86: Issue 3 (Mar 1997)