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

Year 2019, , 281 - 288, 28.06.2019

Osman Melih Topcuoğlu

https://doi.org/10.31832/smj.471978

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

Apparent diffusion coefficient, cerebellum, cerebellar tumors

Serebellar Tümörleri Birbirinden Ayırt Etmek İçin Yeni Bir Yöntem: Algoritmik Yaklaşım

Abstract

Amaç:
Erişkinlerde serebellar tümörlerin (ST) MR görüntüleme bulgularını inceleyip
birbirlerinden ayrım için algoritmik yaklaşım oluşturabilmek.

Gereç
ve Yöntemler: Çalışmaya, cerrahi olarak tedavi edilmiş ST’li erişkin hastalar
dahil edildi. Beyin MR’ları ve hasta kayıtları
patolojik tanı, görüntüleme bulguları ve Ki-67 indeksi açısından tarandı. Tümöre
ve sentrum semiovale (SS)’ye ait görünür difüzyon katsayıları (GDK) ile
birbirlerine oranları hesaplandı. Karşılaştırma için Kruskal-Wallis testi
kullanıldı.

Bulgular:
Çalışmaya yaş ortalaması 46.6±15.6 yıl olan 100 (45 kadın, 55 erkek) ST’li hasta dahil edildi.
Tümörler 5 gruba ayrıldı: a. primitif nöroektodermal tumor
(PNET)+medulloblastom (MB) b. evre 3+4 gliomlar, c.
evre 1+2 gliomlar, d. metastaz (MET) ve e. lenfoma. PNET&MB, evre 3+4
gliomlar, evre1+2 gliomlar, MET and lenfomalara ait ortalama ST/SS GDK (x10^-3
mm²/s) değerleri sıraıyla1.21±0.22, 1.38±0.93, 1.98±0.69, 1.48±0.45 and 1.25±0.11. Evre 1+2 gliomlar ve PNET&MB’ler (P=0.018), MET (P=0.004) ve lenfomalar (P=0.002)
arasında anlamlı fark vardı.

Sonuç:
Erişkinde ST’ler bazı MR ipuçları ve hasta özellikleri ile birbirlerinden ayırt
edilebilir. 

Keywords

Görünür difüzyon katsayısı, serebellum, serebellar tümörler

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