|This article needs attention from an expert on the subject. (October 2011)|
The Transcranial Doppler (TCD) and the more recent transcranial color Doppler (TCCD) are tests that measure the velocity of blood flow through the brain's blood vessels. Used to help in the diagnosis of emboli, stenosis, vasospasm from a subarachnoid hemorrhage (bleeding from a ruptured aneurysm), and other problems, this relatively quick and inexpensive test is growing in popularity in the United States. TCD is effective to detect sickle cell disease, (in order) established for ischemic cerebrovascular disease, subarachnoid hemorrhage, arteriovenous malformations and cerebral circulatory arrest and possibly useful for perioperative monitoring and menigeal infection. The equipment used for these tests is becoming increasingly portable, making it possible for a clinician to travel to a hospital, doctor's office or nursing home for both inpatient and outpatient studies. It is often used in conjunction with other tests such as MRI, MRA, carotid duplex ultrasound and CT scans.
Two methods of recording may be used for this procedure. The first uses "B-mode" imaging, which displays a 2-dimensional image as seen by the ultrasound probe. Once the desired blood vessel is found, blood flow velocities may be measured with a pulsed Doppler effect probe, which graphs velocities over time. Together, these make a duplex test. The second method of recording uses only the second probe function, relying instead on the training and experience of the clinician in finding the correct vessels. Current TCD machine has always B-mode with dual probes.
Applications of TCD
Clinical routine transcranial Doppler (TCD) ultrasound examination of the intracranial arteries was demonstrated to be possible in 1982 by Aaslid and colleagues. The value obtained for a particular artery is the velocity of blood flowing through the vessel, and unless the diameter of that vessel is established by some other means it is not possible to determine the actual blood flow. Thus TCD is primarily a technique for measuring relative changes in flow. The clinical utility of the technique is now well established for a number of different disease processes. The technology assessment report of the American Academy of Neurology published in 1990 stated that TCD has established value in the assessment of patients with intracranial stenosis, collaterals, subarachnoid hemorrhage, and brain death.
How it works
Blood flow velocity is recorded by emitting a high-pitched sound wave from the ultrasound probe, which then bounces off of various materials to be measured by the same probe. A specific frequency is used (usually a multiple of 2 MHz), and the speed of the blood in relation to the probe causes a phase shift, wherein the frequency is increased or decreased. This frequency change directly correlates with the speed of the blood, which is then recorded electronically for later analysis. Normally a range of depths and angles must be measured to ascertain the correct velocities, as recording from an angle to the blood vessel yields an artificially low velocity.
Because the bones of the skull block the transmission of ultrasound, regions with thinner walls – insonation windows – must be used for analyzing. For this reason, recording is performed in the temporal region above the cheekbone/zygomatic arch, through the eyes, below the jaw, and from the back of the head. Patient age, gender, race and other factors affect bone thickness, making some examinations more difficult or even impossible. Most can still be performed to obtain acceptable responses, sometimes requiring using alternate sites from which to view the vessels.
Implantable transcranial Doppler
Sometimes a patient’s history and clinical signs suggest a very high risk of stroke. Occlusive stroke causes permanent tissue damage over the following three hours (maybe even 4.5 hours), but not instantly. Various drugs (e.g. aspirin, streptokinase, and tissue plasminogen activator (TPA) in ascending order of effectiveness and cost)  can reverse the stroke process. The problem is how to know immediately that a stroke is happening. One possible way is the use of an implantable transcranial Doppler device "operatively connected to a drug delivery system". Battery-powered, it would use an RF link to a portable computer running a spectral analysis routine together with input from an oximeter (monitoring the degree of blood oxygenation, which a stroke might impair) to make the automatic decision to administer the drug.
Functional transcranial Doppler (fTCD)
Functional transcranial Doppler sonography (fTCD) is a neuroimaging tool for measuring cerebral blood flow velocity changes due to neural activation during cognitive tasks. Functional TCD uses pulse-wave Doppler technology to record blood flow velocities in the anterior, middle, and posterior cerebral arteries. Similar to other neuroimaging techniques such as functional magnetic resonance imaging or positron emission tomography, fTCD is based on a close coupling between regional cerebral blood flow changes and neural activation. Due to a continuous monitoring of blood flow velocity, TCD offers an excellent temporal resolution in comparison to other neuroimaging techniques. The technique is noninvasive and easy to apply. Blood flow velocity measurements are robust against movement artifacts. Since its introduction the technique has contributed substantially to the elucidation of the hemispheric organization of cognitive, motor, and sensory functions in adults and children. fTCD has been particularly useful for the study of cerebral lateralization of major brain functions such as language, facial processing, color processing, intelligence processing and gender-related differences. Moreover, most established neuroanatomical substrates for brain function are perfused by the major cerebral arteries that could be directly insonated.
Functional transcranial Doppler spectroscopy (fTCDS)
Conventional FTCD has limitations for the study of cerebral lateralization. For example, it may not differentiate the lateralising effects due to stimulus characteristics from those due to light responsiveness, and does not distinguish between flow signals emanating from cortical and subcortical branches of the cerebral arteries of the circle of Willis. Each basal cerebral artery of the circle of Willis gives origin to two different systems of secondary vessels. The shorter of these two is called the ganglionic system, and the vessels belonging to it supply the thalami and corpora striata; the longer is the cortical system, and its vessels ramify in the pia mater and supply the cortex and subjacent brain substance. Furthermore, the cortical branches are divisible into two classes: long and short. The long or medullary arteries pass through the grey substance and penetrate the subjacent white substance to the depth of 3–4 cm. The short vessels are confined to the cortex. Both cortical and ganglionic systems do not communicate at any point in their peripheral distribution, but are entirely independent of each other, having between the parts supplied by the two systems, a borderline of diminished nutritive activity. While, the vessels of the ganglionic system are terminal vessels, the vessels of the cortical arterial system are not so strictly ‘‘terminal’’. Blood flow in these two systems in the middle cerebral artery (MCA) territory supplies 80% of both hemispheres, including most neural substrates implicated in facial processing, language processing and intelligence processing at cortical and subcortical structures. The measurements of mean blood flow velocity (MFV) in the MCA main stem could potentially provide information about downstream changes at cortical and subcortical sites within the MCA territory. Each distal arm of the MCA vascular system could be separated into ‘‘near’’ and ‘‘far’’ distal reflection sites for the cortical and ganglionic (subcortical) systems, respectively. To accomplish this objective, one method is to apply Fourier analysis to the periodic time series of MFV acquired during cognitive stimulations. Fourier analysis would yield peaks representing pulsatile energy from reflection sites at various harmonics, which are multiples of the fundamental frequency. McDonald in 1974 showed that the first five harmonics usually contain 90% of the entire pulsatile energy within the system of pressure/flow oscillations in the peripheral circulation. It could be presumed that each arm of the vascular system represents a single viscoelastic tube terminated by impedance, creating a single reflection site. Psychophysiologic stimulation induced vasomotor activity at each terminal site sets up a standing sinusoidal wave oscillation, comprising a summation of waves due to effects of incident, reflected, and re-reflected waves from distal to proximal point of measurement. fTCDS studies are performed with the participant placed in a supine posture with their head up at about 30 degrees. The probe holder headgear (e.g. LAM-RAK, DWL, Sipplingen, Germany) are used with a base support on two earplugs and on the nasal ridge. Two 2-MHz probes are affixed in the probe holder and insonation performed to determine the optimal position for continuous monitoring of both MCA main stems at 50 mm depth from the surface of the probe. A serial recording of MFV for each stimulus is acquired and latter used for Fourier analysis. Fourier transform algorithm uses standard software (for example, Time series and forecasting module, STATISTICA, StatSoft, Inc.). The most efficient standard Fourier algorithm requires that the length of the input series is equal to a power of 2. If this is not the case, additional computations have to be performed. To derive the required time series, the data were averaged in 10-second segments for 1-minute duration or each stimulus, yielding 6 data points for each participant and a total of 48 data points for all eight men and women, respectively. Smoothing the periodogram values was accomplished using a weighted moving average transformation. Hamming window was applied as a smoother. The spectral density estimates, derived from single series Fourier analysis, were plotted, and the frequency regions with the highest estimates were marked as peaks. The origins of the peaks are of interest in order to determine the reliability of the present technique. The fundamental (F), cortical (C) or memory (M), and subcortical (S) peaks occurred at regular frequency intervals of 0.125, 0.25, and 0.375, respectively. These frequencies could be converted to Hz, assuming that the fundamental frequency of cardiac oscillation was the mean heart rate. The fundamental frequency (F) of the first harmonic could be determined from the mean heart rate per second. For example, a heart rate of 74 bpm, suggests 74 cycles/60 or 1.23 Hz. In other words, the F-, C-, and S-peaks occurred at multiples of the first harmonic, at second and third harmonics, respectively. The distance of the reflection site for F-peak could be presumed to emanate from a site at D1 = wavelength/4 = cf/4 = 6.15 (m/s)/(4×1.23 Hz) = 125 cm, where c is the assumed wave propagation velocity of the peripheral arterial tree according to McDonald, 1974. Given the vascular tortuosity, the estimated distance approximates that from the measurement site in the MCA main stem, to an imaginary site of summed reflections from the upper extremities, close to the finger tips when stretched sideways. The C-peak occurred at the second harmonic, such that the estimated arterial length (using common carotid c = 5.5 m/s) was given by D2 = wavelength/8 = cf2/8 = 28 cm, and a frequency f of 2.46 Hz. The distance approximates the visible arterial length from the main stem of the MCA, through vascular tortuosity and around the cerebral convexity, to the end vessels at distal cortical sites such as the occipito-temporal junction on carotid angiograms of adults. The S-peak occurred at the third harmonic, and may have arisen from an estimated site at D3= wavelength/16 = cf3/16 = 9.3 cm and a frequency f3 of 3.69 Hz. The latter approximates the visible arterial length of the lenticulostriate vessels from the main stem of the MCA on carotid angiograms. Although not displayed, the fourth harmonic would be expected to arise from the MCA bifurcation in closest proximity to the measurement site in the main stem of the MCA. The pre-bifurcation length from the measurement point would be given by D4 = wavelength/32 = cf4/32 = 3.5 cm and a frequency f4 of 4.92 Hz. The calculated distance approximates that of the segment of MCA main stem just after the carotid bifurcation, where probably the ultrasound sample volume was placed, to the MCA bifurcation. Thus, these estimates approximate actual lengths. However, it has been suggested that the estimated distances may not correlate exactly with known morphometric dimensions of the arterial tree according to Campbell et al., 1989. The method was first described by Philip Njemanze in 2007, and was referred to as functional transcranial Doppler spectroscopy (fTCDS). fTCDS examines spectral density estimates of periodic processes induced during mental tasks, and hence offers a much more comprehensive picture of changes related to effects of a given mental stimulus. The spectral density estimates would be least affected by artefacts that lack periodicity, and filtering would reduce the effect of noise. The changes at the C-peak may show cortical long-term potential (CLTP) or cortical long-term depression (CLTD), which has been proposed to be suggest equivalents of cortical activity during learning and cognitive processes. The flow velocity tracings are monitored during paradigm 1 comprising a checkerboard square as object perception are compared to whole face (paradigm 2) and facial element sorting task (paradigm 3). Fast Fourier transform calculations are used to obtain the spectral density and cross amplitude plots in the left and right middle cerebral arteries. The C-peak also called memory (M-peak) cortical peak could be seen arising during paradigm 3, a facial element sorting task requiring iterative memory recall as a subject constantly spatially fits the puzzle by matching each facial element in paradigm 3 to that stored in memory (Paradigm 2) before proceeding to form the picture of the whole face.
Accuracy of TCD
Although TCD is not so accurate due to relatively velocity of blood flow, but it is still useful for diagnosis of arterial occlusions in patients with acute ischemice stroke, especially for middle cerebral artery. A research has been done to compare Power Motion Doppler of TCD (PMD-TCD) with CT angiography (CTA), both are valid, but PMD-TCD accuracy is not higher than 85 percent. The advantages of PMD-TCD is portable, so can be used in bed side or in emergency room, no radiation as CTA, so can be repeated, if necessary for monitoring and less expensive than CTA or Magnetic Resonance Angiography.
- "Transcranial Doppler: An Overview of its Clinical Applications". Retrieved June 3, 2013.
- Aaslid, R; Markwalder, TM; Nornes, H (1982). "Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries". Journal of neurosurgery 57 (6): 769–74. PMID 7143059. doi:10.3171/jns.1982.57.6.0769.
- "Assessment: Transcranial Doppler. Report of the American Academy of Neurology, Therapeutics and Technology Assessment Subcommittee". Neurology 40 (4): 680–1. 1990. PMID 2181340.
- DeNoon, Daniel J. (2009). Immediate Treatment Best, but Even Late Treatment with tPA May Help. WebMD Health News.
- HP Adams Jr, BH Bendixen, LJ Kappelle, J Biller, BB Love, DL Gordon and EE Marsh 3d (1993). "Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment". Stroke 24: 35–41. PMID 7678184. doi:10.1161/01.STR.24.1.35.
- "Randomised controlled trial of streptokinase, aspirin, and combination of both in treatment of acute ischaemic stroke. Multicentre Acute Stroke Trial—Italy (MAST-I) Group". Lancet 346 (8989): 1509–14. 1995. PMID 7491044. doi:10.1016/s0140-6736(95)92049-8.
- Zeumer, H; Freitag, HJ; Zanella, F; Thie, A; Arning, C (1993). "Local intra-arterial fibrinolytic therapy in patients with stroke: Urokinase versus recombinant tissue plasminogen activator (r-TPA)". Neuroradiology 35 (2): 159–62. PMID 8433796. doi:10.1007/bf00593977.
- Njemanze, Philip Chidi (2003). Implantable telemetric transcranial Doppler device. U.S. Patent 6,468,219.
- Njemanze, PC (1991). "Cerebral lateralization in linguistic and nonlinguistic perception: Analysis of cognitive styles in the auditory modality". Brain and Language 41 (3): 367–80. PMID 1933263. doi:10.1016/0093-934x(91)90161-s.
- Njemanze, PC (1996). "Cerebral lateralization in random letter task in the visual modality: A transcranial Doppler study". Brain and Language 53 (3): 315–25. PMID 8798331. doi:10.1006/brln.1996.0051.
- Njemanze, PC (2004). "Asymmetry in cerebral blood flow velocity with processing of facial images during head-down rest" (PDF). Aviation, space, and environmental medicine 75 (9): 800–5. PMID 15460633.
- Njemanze, PC (2005). "Cerebral lateralization and general intelligence: Gender differences in a transcranial Doppler study" (PDF). Brain and Language 92 (3): 234–9. PMID 15721956. doi:10.1016/j.bandl.2004.06.104.
- Njemanze, PC; Beck, OJ; Gomez, CR; Horenstein, S (1991). "Fourier analysis of the cerebrovascular system". Stroke; a journal of cerebral circulation 22 (6): 721–6. PMID 2057969. doi:10.1161/01.str.22.6.721.
- Njemanze, PC; Gomez, CR; Horenstein, S (1992). "Cerebral lateralization and color perception: A transcranial Doppler study". Cortex; a journal devoted to the study of the nervous system and behavior 28 (1): 69–75. PMID 1572174. doi:10.1016/s0010-9452(13)80166-9.
- Njemanze, PC (2007). "Cerebral lateralisation for facial processing: Gender-related cognitive styles determined using Fourier analysis of mean cerebral blood flow velocity in the middle cerebral arteries" (PDF). Laterality 12 (1): 31–49. PMID 17090448. doi:10.1080/13576500600886796.
- Stroobant, N; Vingerhoets, G (2000). "Transcranial Doppler ultrasonography monitoring of cerebral hemodynamics during performance of cognitive tasks: A review". Neuropsychology review 10 (4): 213–31. PMID 11132101.
- Knecht, S.; Deppe, M; Dräger, B; Bobe, L; Lohmann, H; Ringelstein, E; Henningsen, H (2000). "Language lateralization in healthy right-handers". Brain 123: 74–81. PMID 10611122. doi:10.1093/brain/123.1.74.
- Gray, H., & Clemente, C. D. (1984). Gray’s anatomy of the human body. 30th American Edition . Philadelphia: Lippincott Williams & Wilkins.
- Toole, J. F. (1990). Cerebrovascular disorders. New York: Raven Press.
- McDonald, D. A. (1974). Blood flow in arteries pp. 311–350. Baltimore: Williams & Wilkins Co.
- Njemanze, P. C., Beck, O. J., Gomez, C. R., & Horenstein, S. (1991). "Fourier analysis of the cerebrovascular system". Stroke 22: 721–726. doi:10.1161/01.STR.22.6.721.
- Campbell, K. B., Lee, L. C., Frasch, H. F., & Noordergraaf, A. (1989). "Pulse reflection sites and effective length of the arterial system". American Journal of Physiology 256 (6 Pt 2): H1684–H1689. PMID 2735437.
- Peter Bloomfield (1 April 2004). Fourier Analysis of Time Series: An Introduction. Wiley-IEEE. ISBN 978-0-471-65399-8. Retrieved 22 October 2011.
- Brigham, E. O. (1974). The fast Fourier transform. New York: Prentice-Hall.
- Meinders, JM; Kornet, L; Brands, PJ; Hoeks, AP (2001). "Assessment of local pulse wave velocity in arteries using 2D distension waveforms". Ultrasonic imaging 23 (4): 199–215. PMID 12051275. doi:10.1177/016173460102300401.
- Kang, HS; Han, MH; Kwon, BJ; Kwon, OK; Kim, SH; Chang, KH (2005). "Evaluation of the lenticulostriate arteries with rotational angiography and 3D reconstruction". AJNR. American journal of neuroradiology 26 (2): 306–12. PMID 15709128.
- Njemanze P.C., Transcranial Doppler spectroscopy for assessment of brain cognitive functions. U.S. Patent 20,040,158,155, August 12, 2004
- Alejandro M. Brunser, MD; Pablo M. Lavados, MD; Arnold Hoppe, MD; Javiera Lopez, MD; Marcela Valenzuela, MD; Rodrigo Rivas, MD. "Accuracy of Transcranial Doppler Compared With CT Angiography in Diagnosing Arterial Obstructions in Acute Ischemic Strokes" (PDF). Retrieved April 2, 2015.
- Transcranial Doppler Computer Model for Training and Education.
- Dr. Paul Syme, University of Edinburgh.