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- W2955821383 abstract "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: A dult 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 ± 15.6 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 mm 2 /s) of the tumor to those of CS was 1.21 ± 0.22, 1.38 ± 0.93, 1.98 ± 0.69, 1.48 ± 0.45 and 1.25 ± 0.11 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." @default.
- W2955821383 created "2019-07-12" @default.
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- W2955821383 date "2019-06-28" @default.
- W2955821383 modified "2023-09-23" @default.
- W2955821383 title "Serebellar Tümörleri Birbirinden Ayırt Etmek İçin Yeni Bir Yöntem: Algoritmik Yaklaşım" @default.
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- W2955821383 doi "https://doi.org/10.31832/smj.471978" @default.
- W2955821383 hasPublicationYear "2019" @default.
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