%0 Journal Article
%T A new method for discriminating cerebellar tumors from each other: algorithmic approach
%A Osman Melih Topcuo£¿lu
%J -
%D 2019
%X Objective: To evaluate the MR imaging findings of the cerebellar tumors (CT) in adults and to make an algorithm to discriminate these tumors from each other. Materials and Methods: Adult patients with CT who were treated surgically were included. Brain MRs and patient records were evaluated for pathological diagnosis, imaging findings and Ki-67 labeling index. The apparent diffusion coefficient (ADC) values of the tumors and centrum semiovale (CS) and the ratio of each other were noted. Kruskal-Wallis test was used for comparison. Results: 100 adults (45 women, 55 men with a mean age of 46.6¡À15.6 years) with pathologically proven CT were included. Tumors were divided into five groups as: a. primitive neuro-ectodermal tumor (PNET) + medulloblastoma (MB), b. grade 3+4 gliomas, c. grade 1+2 gliomas, d. metastasis (MET) and e. lymphoma. The ratio of the mean ADC (x10-3 mm2/s) of the tumor to those of CS was 1.21¡À0.22, 1.38¡À0.93, 1.98¡À0.69, 1.48¡À0.45 and 1.25¡À0.11 for PNET&MBs, grade 3+4 gliomas, grade 1+2 gliomas, METs and lymphomas, respectively. Significant difference was detected between grade 1+2 gliomas and PNET&MB (P=0.018), MET (P=0.004) and lymphoma (P=0.002). Conclusion: CT in adults might be differentiated from each other by using some MR imaging clues and patient characteristics
%K G£¿r¨¹n¨¹r dif¨¹zyon katsay£¿s£¿
%K serebellum
%K serebellar t¨¹m£¿rler
%U http://dergipark.org.tr/smj/issue/46423/471978