Research Article

A new method for discriminating cerebellar tumors from each other: algorithmic approach

Volume: 9 Number: 2 June 28, 2019
EN TR

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

References

  1. Burger PC, Scheithauer BW. Tumors of the Central Nervous System (Afip Atlas of Tumor Pathology) 1 st ed. Washington; 2007.
  2. Norden AD, Wen PY, Kesari S. Brain metastases. Curr Opin Neurol 2005;18:654-661.
  3. Sharma V, Prabhash K, Noronha V, Tandon N, Joshi A. A systematic approach to diagnosis of cystic brain lesions. South Asian J Cancer 2013;2:98-101.
  4. Rumboldt Z, Camacho DL, Lake D, Welsh CT, Castillo M. Apparent diffusion coefficients for differentiation of cerebellar tumors in children. AJNR Am J Neuroradiol 2006;27:1362-1369.
  5. Provenzale JM, Mukundan S, Barboriak DP. Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response. Radiology 2006;239:632-649.
  6. Ghods AJ, Munoz L, Byrne R. Surgical treatment of cerebellar metastases. Surg Neurol Int 2011;2:159.
  7. Koeller KK, Rushing EJ. From the archives of the AFIP: pilocytic astrocytoma: radiologic-pathologic correlation. Radiographics 2004;24:1693-1708.
  8. Johnson DR, Brown PD, Galanis E, Hammack JE. Pilocytic astrocytoma survival in adults: analysis of the Surveillance, Epidemiology, and End Results Program of the National Cancer Institute. J Neurooncol. 2012;108:187-193.

Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

June 28, 2019

Submission Date

October 22, 2018

Acceptance Date

April 2, 2019

Published in Issue

Year 2019 Volume: 9 Number: 2

APA
Topcuoğlu, O. M. (2019). A new method for discriminating cerebellar tumors from each other: algorithmic approach. Sakarya Medical Journal, 9(2), 281-288. https://doi.org/10.31832/smj.471978
AMA
1.Topcuoğlu OM. A new method for discriminating cerebellar tumors from each other: algorithmic approach. Sakarya Medical Journal. 2019;9(2):281-288. doi:10.31832/smj.471978
Chicago
Topcuoğlu, Osman Melih. 2019. “A New Method for Discriminating Cerebellar Tumors from Each Other: Algorithmic Approach”. Sakarya Medical Journal 9 (2): 281-88. https://doi.org/10.31832/smj.471978.
EndNote
Topcuoğlu OM (June 1, 2019) A new method for discriminating cerebellar tumors from each other: algorithmic approach. Sakarya Medical Journal 9 2 281–288.
IEEE
[1]O. M. Topcuoğlu, “A new method for discriminating cerebellar tumors from each other: algorithmic approach”, Sakarya Medical Journal, vol. 9, no. 2, pp. 281–288, June 2019, doi: 10.31832/smj.471978.
ISNAD
Topcuoğlu, Osman Melih. “A New Method for Discriminating Cerebellar Tumors from Each Other: Algorithmic Approach”. Sakarya Medical Journal 9/2 (June 1, 2019): 281-288. https://doi.org/10.31832/smj.471978.
JAMA
1.Topcuoğlu OM. A new method for discriminating cerebellar tumors from each other: algorithmic approach. Sakarya Medical Journal. 2019;9:281–288.
MLA
Topcuoğlu, Osman Melih. “A New Method for Discriminating Cerebellar Tumors from Each Other: Algorithmic Approach”. Sakarya Medical Journal, vol. 9, no. 2, June 2019, pp. 281-8, doi:10.31832/smj.471978.
Vancouver
1.Osman Melih Topcuoğlu. A new method for discriminating cerebellar tumors from each other: algorithmic approach. Sakarya Medical Journal. 2019 Jun. 1;9(2):281-8. doi:10.31832/smj.471978

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