A new method for discriminating cerebellar tumors from each other: algorithmic approach
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: 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±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 mm2/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.
Keywords
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Details
Primary Language
English
Subjects
Health Care Administration
Journal Section
Research Article
Authors
Publication Date
June 28, 2019
Submission Date
October 22, 2018
Acceptance Date
April 2, 2019
Published in Issue
Year 2019 Volume: 9 Number: 2