Keywords:
CNS, Neuroradiology brain, Oncology, MR, MR-Diffusion/Perfusion, Computer Applications-Detection, diagnosis, Neoplasia
Authors:
M. Talaat1, A. A. A. Abdel Razek2, G. Gaballa2, L. Elserougy2; 1Kafr El Sheikh/EG, 2Mansoura/EG
DOI:
10.26044/ecr2019/C-0926
Results
Based on histopathological results patients were divided into glioblastomas (n=21) [Fig.1] and metastatic brain tumors (n=15) [Fig.2].
Significant difference in TBF measured in the tumor and peritumor regions of glioblastomas and metastasis (P<0.001) for both.
Selection of (29.75,
17.8 mL/100 g/min) as TBF cutoff of tumor and peritumor regions to differentiate between the two groups revealed accuracy (91.7%,
88.9%),
specificity(95.2%,
90.5%)[Fig.3].
FA measured in the peritumor region revealed significant difference(p< 0.001)while tumor region revealed no significant difference(p<0.06).
Selection of (0.145,
0.245 ) as FA cutoff of tumor and peritumor regions to differentiate between the two groups revealed accuracy (80.6%,
83.3%),
specificity (81%,
76.2%)[Fig.4].
MD measured in tumor and peritumor region revealed significant difference (p<0.001) between the two groups.
Selection of 1.275 and 1.33 as MD cutoff of tumor and peritumor regions to differentiate between the two groups revealed accuracy (83.3%,88.9%) ,
specificity (81.0%,
95.2%)[Fig.5].
Combined TBF,
FA and MD of tumor region for differentiation of glioblastoma from metastasis revealed AUC of 0.987,
accuracy of 91.7 %,
sensitivity of 95.2% and specificity of 86.7%.
Combination TBF,
FA and MD of peritumor region metrics for differentiation of glioblastoma from metastasis revealed AUC of 0.984,
accuracy of 91.7 %,
sensitivity of 93.3% and specificity of 90.5% [Fig.6].