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(Stroke. 1997;28:588-592.)
© 1997 American Heart Association, Inc.

Articles

Bigated Transcranial Doppler for the Detection of Clinically Silent Circulating Emboli in Normal Persons and Patients With Prosthetic Cardiac Valves

D. W. Droste, MD; G. Hagedorn; A. Nötzold, MD; H.-J. Siemens, MD; H. H. Sievers, MD; M. Kaps, MD

From the Departments of Neurology (D.W.D., G.H., M.K.), Cardiac Surgery (A.N., H.H.S.), and Internal Medicine (H.-J.S.), Medical University of Lübeck (Germany).

Correspondence to Dr Dirk W. Droste, Klinik und Poliklinik für Neurologie der WWU Münster, Albert-Schweitzer-Str. 33, D-48129 Münster, Germany.

Background and Purpose Detection of clinically silent circulating microemboli by transcranial Doppler sonography is now being widely investigated in the hope of identifying patients at increased risk for stroke. Automatic detection by bigated Doppler, which uses sampling from two different depths in the artery under study and considers the motion of the embolus, may help to define "periods of interest" that can be evaluated off-line.

Methods In 12 normal volunteers and 10 patients with prosthetic aortic valves, we performed 1-hour recordings from one middle cerebral artery. In the normal subjects, we produced additional artifacts to use them as false-positives. Detection of microemboli was done off-line from digital audiotapes by an experienced blinded investigator (used as the gold standard) and was compared with on-line detection using specially designed software.

Results With the setting used, 91.5% of all recorded artifacts could correctly be identified as such with the software. Embolic signals were detected by the software with a specificity of 59.9% and a sensitivity of 74.3%.

Conclusions Bigated Doppler adds a new dimension to the definition and detection of microembolic signals. It constitutes an important step forward toward automatic screening of stroke-prone patients. Assessing on-line periods of interest during the recording and going over the recorded data again off-line helps to save time for the discrimination of embolic signals from both the normal Doppler spectrum background and artifacts.

Key Words: cerebral blood flow • embolism • heart valve prosthesis • ultrasonics

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