Songlin Yu1, Rui Wang2, Rong Wang1, Shuo Wang1, Yuqiang Yao3, Dong Zhang1, Yuanli Zhao1, Zhentao Zuo2, Rong Xue2, Danny J.J. Wang4, Jizong Zhao1
1Tiantan hospital, Beijing, China; 2Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; 3Beijing Jishuitan Hospital, Beijing, China; 4University of California Los Angeles, Los Angeles, CA, United States
In order to evaluate the diagnostic accuracy of VE-PCASL in identifying feeding arteries of intracranial AVM, sixteen AVM patients were examined with VE-PC ASL. Supply fraction of each feeding artery to the AVM was calculated. ROC curves were calculated to evaluate the diagnostic accuracy of VE-PCASL for identifying feeding arteries of AVMs, using DSA as the gold standard. Results are that for VE-PCASL with standard labeling efficiencies, the AUC was 0.935. The optimal cut-off of supply fraction for identifying feeding arteries was 15.17% and the resulting sensitivity was 83.3% and specificity was 91.7%. For VE-PCASL with custom labeling efficiencies, the AUC was 0.956. The optimal cut-off of supply fraction was 11.73% which yielded 88.9% sensitivity and 91.7% specificity. We conclude VE-PCASL with either standard or custom labeling efficiencies offers a high level of diagnostic accuracy compared to DSA for identifying feeding arteries.