TY  - JOUR
TI  - Diagnostic efficacy of apparent diffusion coefficient measurements in differentiation of malignant intra-axial brain tumors
AB  - Background/aim: To evaluate diagnostic efficacy of the apparent diffusion coefficient measurements from tumor (ADCt) and tumor circumference hyperintensities (ADCtch) in different types of malignant intra-axial brain tumors. Materials and methods: Between April 2013 and June 2017, 125 patients (52 females (41.6%) and 73 males (58.4%); mean age: 53 years, age range: 14-81 years), who underwent diffusion-weighted imaging (DWI) with intracranial mass, were retrospectively evaluated. The mean ADCt and ADCtch values and ratios were measured. Results: Of the 125 patients, 22 (17.6%) had a low-grade glioma (LGG), 55 (44%) had a high-grade glioma (HGG), 32 (25.6%) had metastasis, and 16 (12.8%) had lymphoma diagnosis. There was a statistically significant difference in LGG and HGG in terms of mean ADCtand mean ADCtch values, and ratios. ADCtch values and ratios showed a statistically significant difference in the differentiation of HGG and metastasis and in the differentiation of HGG and lymphoma. According to ROC curve analysis, a cut-off value of 1.49 × 10−3 mm2 /s for the mean ADCtch value generated the best combination of 70% sensitivity and 71% specificity for differentiation of HGGs and metastasis. The mean ADCtch value had the highest statistical predictive value for differentiation of HGGs and lymphoma with a sensitivity of 78% and a specificity of 76% for the optimal cut-off value of 0.82 × 10ˉ3mm²/s. Conclusion: The mean ADCtratio allowed reliable differentiation of LGG and high grade brain tumors, including HGGs, metastases, and lymphoma. The mean ADCtch might be a better imaging biomarker in the differentiation of HHG from metastasis and lymphoma.Key words: Brain tumors, magnetic resonance imaging, diffusion-weighted imaging, apparent diffusion coefficient
AU  - Aslan, Serdar
AU  - çakır, Ismet
AU  - Sarı, Ahmet
AU  - Eyuboglu, Ilker
DO  - 10.3906/sag-2006-1
PY  - 2021
JO  - Turkish Journal of Medical Sciences
VL  - 51
IS  - 1
SN  - 1300-0144
SP  - 256
EP  - 267
DB  - TRDizin
UR  - http://search/yayin/detay/485226
ER  -