Details

Autor(en) / Beteiligte

• Ke, Xiaoai
• Zhao, Jun
• Liu, Xianwang
• Zhou, Qing
• Cheng, Wen
• Zhang, Peng
• Zhou, Junlin

Titel

Apparent diffusion coefficient values effectively predict cell proliferation and determine oligodendroglioma grade

Ist Teil von

• Neurosurgical review, 2023-04, Vol.46 (1), p.83

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• This study aims to evaluate the value of conventional magnetic resonance imaging (MRI) features and apparent diffusion coefficient (ADC) values in differentiating oligodendroglioma of various grades and explore the correlation between ADC and Ki-67. The preoperative MRI data of 99 patients with World Health Organization (WHO) grades 2 ( n  = 42) and 3 ( n  = 57) oligodendroglioma confirmed by surgery and pathology were retrospectively analyzed. Conventional MRI features, ADCmean, ADCmin, and normalized ADC (nADC) were compared between the two groups. A receiver operating characteristic curve was used to evaluate each parameter’s diagnostic efficacy in differentiating the two tumor types. Each tumor’s Ki-67 proliferation index was also measured to explore its relationship with the ADC value. Compared with WHO2 grade tumors, WHO3 grade tumors had a larger maximum diameter and more significant cystic degeneration/necrosis, edema, and moderate/severe enhancement (all P  < 0.05). The ADCmin, ADCmean, and nADC values of the WHO3 and WHO2 grade tumors were significantly different, and the ADCmin value most accurately distinguished the two tumor types, yielding an area under the curve value of 0.980. When 0.96 × 10 −3 mm 2 /s was used as the differential diagnosis threshold, the sensitivity, specificity, and accuracy of the two groups were 100%, 93.00%, and 96.96%, respectively. The ADCmin ( r  = –0.596), ADCmean ( r  =  − 0.590), nADC ( r  =  − 0.577), and Ki-67 proliferation index values had significantly negative correlations (all P  < 0.05). Conventional MRI features and ADC values are beneficial in the noninvasive prediction of the WHO grade and tumor proliferation rate of oligodendroglioma.