J Korean Radiol Soc.  1983 Dec;19(4):659-670. 10.3348/jkrs.1983.19.4.659.

Computed tomography of gliomas: as a possible aid to histopathological grading

• Choi YH
• Choi BI
• Chang KH
• Chi JG

• KMID: 2463090
• DOI: http://doi.org/10.3348/jkrs.1983.19.4.659

Abstract

It is well known that the cell type and histopathological grading of gliomas correlate well with clinicalcourse and prognosis. Therefore, it is tempting to set certain criteria that could predict the histopathologiccharacteristics of the gliomas before the surgical intervention. With a total of 56 cases of gliomas which wereverified histopathologically in Seoul National University Hospital between July 1978 and May 1983, a statisticalanalysis of the computed tomographic findings was done with the particular emphasis on the correlation withhistopatholoigcal features. The results are as follows; 1. The calcification is observed in 27 cases (48.2%) intotal: in 20 cases (62.5%) among low grade group, in 6 cases (46.1%) among high grade group and in 1 case (9.1%)among glioblastoma multiformed group respectively. 2. The mass effect, especially surrounding low densitycorrelates well with the grade of malignancy. 3. The contrast enhancement is observed in 43 cases (76.8%). Thepattern of enhancement provides clues for the assessment of cell type and grade with fair degree of reliability.Among low grade group, 10 cases (31.3%) show no enhancement and 10 cases show solid enhancement. Among high gradegroup, 6 cases (46.8%) show solid enhancement and nodular or ring enhancement are not observed. Among glioblastomamlultiform group, 8 cases (72.7%) show characteristic thick irregular ring enhancement. 4. Plain CT densities arenot useful in differentiating each group in statistically significant level. 5. Neither the margin of the mass northe degree of contrast enhancement contributes for the differentiation of each group. 6. Summarizing the abovementioned findings it is concluded that CT is very helpful in differentiating the gliomas with regard tohistopathological cell type and the grade of malignancy as well.

MeSH Terms

Glioblastoma
Glioma*
Prognosis
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