Objective To assess the accuracy of three dimensional electron beam CT angiography (3D EBCTA) in the detection of intracranial aneurysms Methods 31 patients with suspected cerebral aneurysms (including 3 post o...Objective To assess the accuracy of three dimensional electron beam CT angiography (3D EBCTA) in the detection of intracranial aneurysms Methods 31 patients with suspected cerebral aneurysms (including 3 post operative patients) were examined by 3D EBCTA Those receiving angiography or surgery acted as controls Maximum intensity projection (MIP) and shaded surface display (SSD) reconstruction ways were selected Results 24 aneurysms were found in 23 patients Of the 31 patients, false positive was noted in 1 patient,and false negative in 2 on 3D EBCTA The sensitivity, specificity, accuracy, positive predictive value and negative predictive value were 92 0%, 88 9%, 91 2%, 95 8% and 80 0% respectively Conclusion 3D EBCTA is an noninvasive, rapid, valuable method in diagnosis and screening of patients with suspected aneurysms The reconstruction modes such as MIP and SSD should be used together to optimise the visualization展开更多
文摘Objective To assess the accuracy of three dimensional electron beam CT angiography (3D EBCTA) in the detection of intracranial aneurysms Methods 31 patients with suspected cerebral aneurysms (including 3 post operative patients) were examined by 3D EBCTA Those receiving angiography or surgery acted as controls Maximum intensity projection (MIP) and shaded surface display (SSD) reconstruction ways were selected Results 24 aneurysms were found in 23 patients Of the 31 patients, false positive was noted in 1 patient,and false negative in 2 on 3D EBCTA The sensitivity, specificity, accuracy, positive predictive value and negative predictive value were 92 0%, 88 9%, 91 2%, 95 8% and 80 0% respectively Conclusion 3D EBCTA is an noninvasive, rapid, valuable method in diagnosis and screening of patients with suspected aneurysms The reconstruction modes such as MIP and SSD should be used together to optimise the visualization
