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J Neurosonol Neuroimag > Volume 11(1); 2019 > Article
Kim: Pictorial Essay: Transcranial Doppler Findings of the Intracranial and Extracranial Diseases
This article has been corrected. See J Neurosonol Neuroimag. 2019 Dec 30; 11(2): 186.

Abstract

This pictorial essay with supplementary video files illustrates the transcranial Doppler (TCD) findings of intracranial diseases such as intracranial arterial stenosis and vasospasm, extracranial arterial diseases and pathologies such as carotid artery disease and aortic stenosis, and other diseases that neurologists and neurosonologists commonly encounter in practice. As the TCD ultrasonography acquires hemodynamic information with sound, the supplementary video files would help the readers to better understand the findings.

The neurosonologists or ultrasonographers should be knowledgeable on the anatomy and the spatial relationship of intracranial vessels in order to accurately identify the insonated vessels with transcranial Doppler (TCD). As the details on the insonations, depths, machine settings, other parameters, and indications (Table 1) are available in the clinical studies,1-5 guideline, proposals for standardization,6-9 practice parameters 10,11 and books,12-15 the detailed technical specifications of TCD will not be discussed.
The TCD uses low frequency (1.5–2 MHz) ultrasound which can penetrate deeply with less attenuation to study intracranial arteries through “windows” or “holes” in the skull. In order to overcome the skull which limits penetration of ultrasound, ultrasound is delivered through acoustic windows where the skull is thin or absent (Figs. 1-3). The three commonly used acoustic windows are temporal, orbital, and suboccipital windows. The temporal window through the thinnest part of the temporal bone allows the insonation of the middle cerebral artery (MCA), anterior cerebral artery (ACA), posterior cerebral artery (PCA), and terminal internal carotid artery. The orbital window can give access to the ophthalmic artery (OA) and carotid siphon of the internal carotid artery (sICA). The suboccipital window through the foramen magnum provides access to the intracranial part of the vertebral artery (VA) and basilar artery (BA) (Table 2).
The conventional or blind TCD uses dedicated pulsed-Doppler to demonstrate spectra alone. The regular ultrasound machines with the dedicated software for transcranial color Doppler (TCCD) and small-foot-print phased array transducer enable neurosonologists to use B-mode and Doppler mode simultaneously for visualization of both intracranial anatomy and flows.3 One of the strengths of TCD is its non-invasiveness and availability at bed-side examination as point-of-care-ultrasound.
In order to appropriately interpret findings on TCD, the reader should understand the principles of hemodynamics including Spencer’s curve.12,16-18
The initial step of interpretation is to check whether all the insonated vascular segments are correctly identified and labelled, especially when the TCD study was performed by other ultrasonographers or neurosonologists, by carefully reviewing the depths and directions of flow of each insonated segment in relation to the Doppler probe: the MCA, PCA P1, and OA flow signals are directed toward the probe and ACA; PCA P2, VA, and BA signals are directed away from the probe.
The second step is to analyze the components of a cardiac cycle of Doppler spectral waveforms to identify the systolic and diastolic components: the initiation of systole; the shape and magnitude of flow acceleration to the peak velocity; peak velocity during systole (peak systole); dicrotic notch (closure of the aortic valve indicating the initiation of diastole); end-diastolic flow velocity; and the shape and magnitude of flow deceleration after the peak systole (Table 3, Fig. 4).
The flow velocity (FV) is the key parameter. The MCA FV is the highest, the ACA is the second highest, and then the PCA FV is the lowest in the most normal patients.
The pulsatility index (PI) provides the information on the status of distal vascular system or distal vascular resistance 19 and the normal range is between 0.6 and 1.1.12,14 The low PI suggests decreased vascular resistance such as hypercapnia or vasodilatation of distal vascular system to compensate for diminished perfusion. The decreased PI can be seen with proximal arterial stenosis.20 The high PI indicates increased distal vascular resistance such as increased intracranial pressure,21 significant stenosis or occlusion of distal vascular segments or territory supplied by the insonated vessels, stiffening of distal vessels due to aging,22 and small artery disease (Table 4).23,24
The flow acceleration of Doppler spectral waveforms provides the status of proximal vascular system.25 The delayed systolic acceleration or post-stenotic waveform indicates significantly decreased and slow flow to the insonated vascular segments due to proximal vascular stenosis or occlusion compromising perfusion.26,27
The neurosonologists should check whether the spectral waveforms show early systolic deceleration or alternating waveforms. The early systolic deceleration or alternating waveform of VA and/or BA suggest steal phenomenon of proximal vessels.28,29 The alternating waveform of ACA indicates severe stenosis of ipsilateral extracranial arteries, either at the very proximal segment or the segment closer to the aortic arch.30-32
Other ancillary findings of waveforms such as turbulence and musical murmur 33-36 would provide additional information to better characterize the underlying pathophysiology.
After complete review of the spectral waveforms of individual vascular segments, comparison of FVs and other characteristics of flow signals between right and left intracranial vessels for any asymmetry should be done. For example, when the left MCA shows significantly increased FVs than that of right MCA, the post-stenotic waveforms at the distal left MCA segments would suggest the hemodynamically significant focal stenosis of the left MCA but the presence of post-stenotic waveforms in the right MCA with reversed right ACA and the normal waveforms in the proximal and distal left MCA would indicate hemodynamically significant stenosis or occlusion of right proximal ICA.

INTRACRANIAL ARTERIAL STENOSIS

Patients with stroke with severe (>70%) intracranial atherosclerotic disease are at the highest risk of stroke recurrence. TCD shows high diagnostic accuracy against computed tomography angiography (CTA) in evaluating intracranial arterial stenosis/occlusion in patients with acute ischemic stroke when TCD is performed within the short time period after CTA.37
The typical findings for intracranial artery stenosis include increased FV, turbulence at or immediately distal to the stenosis, low-frequency noise produced by non-harmonic covibrations of the vessel wall, and sometimes musical murmurs due to harmonic covibrations producing pure tones (Fig. 5).38

1. Anterior circulation

1) MCA

Most of the stenotic lesions of the basal cerebral arteries involve the M1 segment and the sICA, commonly secondary to atherosclerosis. Moyamoya disease (MMD), vasculitis, and sickle cell disease can cause intracranial arterial diseases. TCD findings compatible with stenotic lesions of the M1 segment of MCA include increased peak systolic flow velocity (PSFV) and mean flow velocity (MFV), decreased FVs in the segment distal to the stenotic lesion, spectral narrowing, low frequency bidirectional signal during systole, arterial wall covibration, and harmonic murmur. The increased MFVs run between 80–250 cm/s (Fig. 5A, Supplementary Video 1). The sensitivity of TCD in detecting MCA lesion with >50% stenosis varies between 75% and 100%,39-43 and its specificity is greater than 86%.42,43
The absence or severe reduction of detectable signals at depths of insonation corresponding to the MCA (45 to 65 mm) in the presence of signals of the ipsilateral other basal cerebral arteries suggests MCA occlusion. The MCA branch occlusion would show decreased FVs due to increased distal vascular resistance, often associated with a relatively increased FVs in the ipsilateral ACA.
In some patients with chronic MCA occlusion, TCD can show normal-appearing vascular signals in the MCA due to increased flow through collateral channels and lenticulostriate arteries and the increased FV in the ipsilateral ACA with or without reversed flow would further support the diagnosis. The FVs of the ipsilateral ICA could be normal if there is enough collateral flow via anterior cross-over or leptomeningeal collaterals.

2) ACA

TCD findings of stenotic ACA include increased PSFVs and MFVs, spectral narrowing, low frequency bidirectional signal during systole, arterial wall covibration, and harmonic murmur (Fig. 5B, Supplementary Video 2).

3) ICA siphon

The sICA lesions could cause increased FVs (mean >65 cm/s) and symmetrical prominent low frequencies with decreased ipsilateral MCA FVs, increased FVs (mean >85 cm/s, peak 115 cm/s) of the contralateral ACA due to collateral through ACOM.44

2. Posterior circulation

The proximal PCA stenosis or occlusion would show increased FVs. BA stenosis of >50% lumen reduction would show increased PSFV (120–250 cm/s) and MFV (50–150 cm/s) and the most sensitive MFV thresholds for >70% stenosis for BA is >110 cm/s and/or PSFV >160 cm/s (Fig. 5C, D, Supplementary Videos 3, 4). However, the increased velocity of BA does not necessarily suggest BA stenosis and may be due to development of intracranial collateral through posterior communicating artery and circle of Willis secondary to large artery stenosis of the anterior circulation.45
The proximal VA stenosis can be diagnosed with extracranial Duplex ultrasound but TCD would show increased PSFV and MFVs at the circumscribed location with poststenoic waveforms at the distal segments.

PROXIMAL INTERNAL CAROTID ARTERY STENOSIS AND OCCLUSION

There is some inverse relationship between MCA MFV (or SFV) and severity of ipsilateral ICA stenosis (ICS) (Fig. 6A, Supplementary Video 5).46-48 Almost all are diagnostically abnormal only when the ICS exceeds 70% diameter reduction and the threshold of hemodynamic significance determined by TCD is comparable with the critical stenosis determined by electromagnetic blood flow measurements.49 However, the MFV alone is not sensitive parameter for ICS. Only 45% of patients with severe carotid stenosis have detectable intracranial hemodynamic changes due to collateral channels and vasodilatation of distal vascular system: MFV can be in the normal range in spite of significant stenosis and TCD can show preserved flow pattern in spite of obvious occlusion in the proximal ICA (Supplementary Video 6).
The PI is decreased in patients with carotid stenosis because the peak SFV decreases due to decreased perfusion and the EDFV increases due to vasodilatation of distal vascular system to increase distal perfusion (Fig. 6A, Supplementary Video 5). The PI does not decrease until the severity of stenosis exceeds 80% (Fig. 6D).20
TCD can identify collateral flow through the ACOM (Fig. 6B, Supplementary Video 7), PCOM, and OA. The presence of an OA collateral is a highly specific indicator of reduced cerebral perfusion pressure (Fig. 6C, Supplementary Video 6).

ANTERIOR CEREBRAL ARTERY HYPOPLASIA

ACA spectra should be interpreted with caution because the A1 segment of ACA is hypoplastic in 10-25% of all anatomic dissections and the contralateral ACA supplies part or all of the ACA vascular territory in the opposite hemisphere via a large ACOM and two normal distal A2 segments.50-53
Low FV of ACA with normal findings of other basal cerebral arteries would indicate either hypoplasia (HP) or aplasia (AP) of ipsilateral ACA or increased distal vascular resistance such as distal ACA stenosis or occlusion (Fig. 7, Supplementary Video 8). If asymmetry index is high (>50%), HP or AP is the most likely explanation.53 When other vascular segments shows abnormal findings, the high FV of ACA would indicate either stenosis or hyperemia.

VERTEBRAL ARTERY HYPOPLASIA

Asymmetry of FV of VAs is not an uncommon finding (Fig. 8, Supplementary Video 9). The prevalence of hypoplastic vertebral artery based on MRA study in normal healthy population was 26.5%, more common on the right,54 and higher (35.2%) in patients with posterior circulation stroke 55.
Increased MFV of unilateral VA on TCD may indicate either ipsilateral stenosis or contralateral HP or AP. If other vascular segments do not show any abnormal findings, asymmetry index greater than 40% would highly suggest unilateral HP or AP.56 The low PSV (<50% of normal peak systolic velocity PSV) and PSV <0.30 m/s with slow early systolic acceleration of intracranial VA would suggest diffusely severe or localized critical intracranial VA stenosis.57
Duplex ultrasound of extracranial VA would provide additional information: the relatively smaller VA diameter, low FV with increased RI, and decreased flow volume indicate hypoplastic VA (Fig. 9, Supplementary Video 10).58

HIGH AND LOW PULSATILITY INDICES

The PI provides the information on the status of distal vascular system or distal vascular resistance (normal range, 0.6–1.1). The low PI suggests decreased vascular resistance such as hypercapnia or vasodilatation of distal vascular system to compensate for diminished perfusion. The high PI indicates increased distal vascular resistance such as increased intracranial pressure (Fig. 10A, B, Supplementary Videos 11, 12), significant stenosis or occlusion of distal vascular segments or territory supplied by the insonated vessels, stiffening of distal vessels due to aging, or small artery disease (Fig. 10C, D, Supplementary Video 13).

PARVUS ET TARDUS WAVEFORMS

The parvus et tardus (PeT) waveforms (increased acceleration time, decreased PSFV, delayed upstroke, and rounded waveform) suggest significant proximal vascular disease or severe valvular disease such as aortic stenosis.26,27
The PeT waveforms in all intracranial vascular segments in both anterior and posterior circulation would indicate diffuse proximal vascular disease or severe aortic stenosis (Fig. 11, Supplementary Video 14). The PeT in right anterior circulation with ipsilateral VA would suggest innominate artery severe stenosis or occlusion.

MURMURS

Musical murmurs (MMs) are murmurs with a single frequency, producing sound suggestive of a musical tone, and the Doppler spectra show mirror-image parallel strings or bands of low to moderate frequency.33-36 MMs result from uniform and periodic vibrations of normal and abnormal cardiac structures with or without turbulent flow, a periodic shedding of vortices in the cerebral arteries, and oscillating structures and pressure fluctuations in intracranial arterial spasm.33-36
The presence of MMs on TCD could indicate pathologically increased blood velocities and pathological changes in the vessel walls in addition to geometrical configurations of the arteries (Fig. 12, Supplementary Videos 15, 16).36,59
It is rare in intra and extracranial arteries (0.5% of patients with suspected cerebrovascular diseases), more common in the intracranial than extracranial arteries.59 MMs were detected about half of subarachnoid hemorrhage (SAH) patients (Fig. 13C, D, Supplementary Video 16).36 It is very rare in the peripheral and visceral vessels.60

CEREBRAL VASOSPASM IN SUBARACHNOID HEMORRHAGE

Vasospasm (VSP) is a major complication of SAH. Its incidence runs between 30% and 70% and the morbidity and mortality related to clinical VSP ranges from 10% to 20%. VSP is usually absent in the first 48–72 hours after SAH. It develops from day 3 to reach a peak between day 6 and 12, gradually lessening at 15–20 days (Fig. 13, Supplementary Videos 17-22, Tables 5, 6).
TCD is effective to diagnosis of cerebral VSP both in anterior and posterior circulation following SAH.7,61-64 TCD can detect the development of VSP days before it can become clinically apparent (days 2–5 following SAH onset) and detect progression to the severe phase of VSP.
TCD findings include increased FVs, turbulence,61,62 and musical murmurs (Fig. 13, Supplementary Videos 17-22).36

SICKLE CELL ANEMIA

The sickle cell anemia children with time average maximum mean velocity of >200 cm/s in the distal ICA or proximal MCA had significantly increased stroke risk, 10–20 times that of the general sickle cell population of the same age. The primary prevention with transfusion decreased stroke by 90%. The patients with abnormal velocity should undergo repeated screening within the next few weeks and if the second study is also abnormal, the patients would require treatment (Table 7). Those with conditional velocity should be studied within 3–6 months, while those with normal studies can get a follow up TCD yearly.65 The studies should be performed per the recommended study protocol.65-71
Other abnormal findings include low FV in MCA (<70 cm/s), MCA ratio <0.5, ipsilateral ACA/MCA ratio >1.2, dampened waveform, turbulence, and musical harmonic murmurs (Fig. 14, Supplementary Video 23).

MOYAMOYA DISEASE

MMD is a cerebrovascular disease characterized by progressive stenosis or occlusion of the terminal internal carotid or middle cerebral arteries with abnormal basal collaterals with perforating branches as a main constituent.72 Because of its non-invasiveness, low cost, and high diagnostic agreement with MRA and cerebral angiography, TCD may be the preferred choice for screening,73 follow-up evaluations of different stages of MMD,74 assessment of hemodynamic changes,75 and assessment of anastomosis and its impact on hemodynamics.76
The MM blood vessels are the collaterals formed as a result of the stenosis or occlusion of the carotid bifurcation with perforating branches as a main constituent. These can be detected as multiple flow signals with low velocity and resistance on Doppler and scatters or confetti of colored dots on color Doppler next to or around proximal and/or distal MCA.77
The various findings can be detected depending on the angiographic stages of the patients 72,78 (Table 8) including increased FVs in multiple basal arteries with low resistance,78 significantly decreased FVs,79 absence of flow signals in more than 2 basal arteries,80 multiple flow signals with low velocity and resistance. The TCCD would demonstrate presence of scattered and colored dots at the base of the brain on Color Doppler with signals of low velocity and resistance index on Doppler (Fig. 15, Supplementary Video 24).77,81 The recent study on MMD with contrast-enhanced transcranial Doppler sonography (CE-TCCD) showed significant correlation between the CE-TCCD findings and the Suzuki angiographic grades and hemodynamic parameters.82
MMD will be highly suspected in young adults with cerebral hemorrhage or ischemic stroke of uncertain etiology if TCD shows increased or decreased FVs of major cerebral basal arteries with multiple flow signals with low velocity and resistance on TCD and/or scattered or confetti of colored dots at the base of the brain on TCCD.77,78

INTRACRANIAL ALTERNATING WAVEFORMS

Alternating flow or waveforms in the ACA is rare but provides an important localizing value for the diagnosis of extracranial vascular diseases because it is associated with ipsilateral proximal stenosis in the supra-aortic arteries, either in the innominate artery or at the origin of the common carotid artery (Fig. 16, Supplementary Videos 25, 26).30-32

MICROEMBOLIC SIGNALS

TCD is used to detect cerebral embolization in patients with ischemic strokes, transient ischemic attacks (TIAs), or asymptomatic high-grade ICA stenosis. The detection of emboli or microembolic signal (MES) is helpful to establish the diagnosis and change management strategy.7,83 The presence of emboli on TCD distal to a high-grade asymptomatic ICA stenosis identifies patients at higher risk of first-ever stroke (Fig. 17, Supplementary Videos 27, 28).84,85 TCD “bubble” test can be performed on patients with ischemic stroke and TIAs due to possible paradoxical embolism to detect right-to-left shunt.
The MES identification for the clinical applications or research should follow the guidelines.86 MESs have the following characteristics: random occurrence during the cycle; brief duration (usually <0.1 second); high intensity (>3 dB over background); primarily unidirectional signals (if fast Fourier transformation is used); and audible component (Fig. 17, Supplementary Videos 27, 28).

VASOMOTOR REACTIVITY

Vasomotor reactivity (VMR) reflects the ability of cerebral resistance arterioles to constrict and dilate to the stimuli (such as acetazolamide, 5% CO2 inhalation, breath-holding, rebreathing in a closed mask or a semiclosed mask) and one of the cerebral autoregulation to maintain constant cerebral blood flow.87-91 The breath holding test will be one of the commonly used stimuli for VMR (Fig. 18A, Supplementary Video 29).
VMR is reduced in steno-occlusive disease of ICA 92 (Fig. 18B, Supplementary Video 30), advanced small artery disease,93-96 MCA stenosis,97 and sports-related concussion 98. While the reduced VMR correlates with severity of stenosis and may predict the risk of future stroke in patients with ICA stenosis or extracranial arterial occlusion,99 the significance of reduced VMR in patients with MCA and other large intracranial arterial stenosis is not well known yet.

SUPPLEMENTARY MATERIALS

Supplementary materials related to this article can be found online at https://doi.org/10.31728/jnn.2018.00039.

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Acknowledgments

Dr. Aarti Sarwal provided the pictures and videos of Moyamoya disease. Dr. John Bennett kindly provided valuable comments on the findings of transcranial Doppler.

Fig. 1.
Acoustic windows. AW; anterior window, MW; middle window, PW; posterior window.
jnn-2018-00039f1.jpg
Fig. 2.
Acoustic windows for blind transcranial color Doppler. (A) Temporal window. (B) Orbital window. (C) Suboccipital window.
jnn-2018-00039f2.jpg
Fig. 3.
Acoustic windows for blind transcranial color Doppler. (A) Temporal window. (B) Orbital window. (C) Suboccipital window
jnn-2018-00039f3.jpg
Fig. 4.
Doppler spectral waveforms. PW; pulse wave, MCA_R; middle cerebral artery right, PI; pulsatility index, RI; resistance index.
jnn-2018-00039f4.jpg
Fig. 5.
Intracranial arterial stenosis. (A) Left MCA stenosis, (B) ACA stenosis, (C) BA stenosis, (D) BA stenosis with musical murmur. Lt; left, MCA; middle cerebral artery, FV; flow velocity, ACA; anterior cerebral artery, BA; basilar artery.
jnn-2018-00039f5.jpg
Fig. 6.
Proximal internal carotid artery stenosis or occlusion. (A) Post-stenotic flow waveforms with delayed systolic acceleration and high diastolic flow. (B) Reversed right ACA. (C) Reversed right ophthalmic artery. (D) Post-stenotic flow waveform with delayed systolic acceleration. Rt; right, MCA; middle cerebral artery, ACA; anterior cerebral artery, FV; flow velocity, Lt; left.
jnn-2018-00039f6.jpg
Fig. 7.
Anterior cerebral artery hypoplasia and hyperplasia. (A) Hyperplastic right ACA. (B) Hypoplastic left ACA. FV; flow velocity, PI; pulsatility index, ACA; anterior cerebral artery
jnn-2018-00039f7.jpg
Fig. 8.
Vertebral artery hypoplasia and hyperplasia. (A) Hypoplastic right VA. (B) Hyperplastic left VA. FV; flow velocity, VA; vertebral artery.
jnn-2018-00039f8.jpg
Fig. 9.
Vertebral artery hypoplasia and hyperplasia. (A) Hyperplastic right VA Doppler on Duplex. (B) Larger right VA on B mode. (C) Hypoplastic left VA Doppler on Duplex. (D) Smaller left VA on B mode. (E) Hyperplastic right VA on TCD. (F) Hypoplastic left VA on TCD. FV; flow velocity, VA; vertebral artery, TCD; transcranial Doppler.
jnn-2018-00039f9.jpg
Fig. 10.
High and low pulsatility indices. (A) High PI, low diastolic FV in increased intracranial pressure prior to lumbar puncture. (B) Low PI, increased diastolic FV in normalized intracranial pressure immediately after lumbar puncture. (C, D) High PI with normal FV in patient with diffuse small artery disease. PI; pulsatility index, FV; flow velocity.
jnn-2018-00039f10.jpg
Fig. 11.
Parvus et tardus waveforms at (A) right MCA, (B) left MCA, (C) right PCA, (D) left PCA. TCD; transcranial Doppler, MCA; middle cerebral artery, PCA; posterior cerebral artery.
jnn-2018-00039f11.jpg
Fig. 12.
Musical murmurs. (A) Harmonic musical murmurs of BA in patient with sickle cell anemia. (B) Harmonic musical murmurs of right VA. BA; basilar artery, mFV; mean flow velocity, SAH; subarachnoid hemorrhage, PI; pulsatility index.
jnn-2018-00039f12.jpg
Fig. 13.
Vasospasms in the patient with subarachnoid hemorrhage due to ruptured PICA aneurysm. (A) Day 3 after SAH. (B) Day 4 after SAH. (C) Day 5 after SAH. (D) Day 6 after SAH. (E) Day 7 after SAH. (F) Day 10 (post-angioplasty) after SAH. SAH; subarachnoid hemorrhage, VA; vertebral artery, mFV; mean flow velocity, PI; pulsatility index, MCA; middle cerebral artery, ACA; anterior cerebral artery, PICA; posterior inferior cerebellar artery.
jnn-2018-00039f13.jpg
Fig. 14.
Sickle cell anemia. (A) Increased FV at right MCA. (B) Turbulence at left MCA. (C) Turbulence at right MCA. (D) Increased FV at left MCA. FV; flow velocity, MCA; middle cerebral artery.
jnn-2018-00039f14.jpg
Fig. 15.
Moyamoya disease. (A) High FV of right PCA. (B) Low FV of right distal MCA, low FV and low resistance waveforms (arrow, arrowhead). (C) High FV of left distal MCA, low FV and low resistance waveforms (arrow, arrowhead), confetti of colored dots (dashed arrows). (D) High FV of left terminal ICA. FV; flow velocity, PW; pulse wave, PCA; posterior cerebral artery, PSV; peak systolic velocity, EDV; end diastolic velocity, TCD; transcranial Doppler, PI; pulsatility index, MCA; middle cerebral artery.
jnn-2018-00039f15.jpg
Fig. 16.
Alternating waveforms at anterior cerebral arteries. (A) Alternating waveforms at left ACA and parvus et tardus waveform at left MCA. (B) Alternating waveforms at right ACA and parvus et tardus waveform at right MCA. Lt; left, ACA; anterior cerebral artery, MCA; middle cerebral artery, Rt; right.
jnn-2018-00039f16.jpg
Fig. 17.
Microembolic signals. (A-C) HITS at multiple vascular segments (right PCA, right siphon, and left ACA). (D) HITS at left ACA. TCD; transcranial Doppler, HITS; high intensity transient signals, ACA; anterior cerebral artery, PCA; posterior cerebral artery.
jnn-2018-00039f17.jpg
Fig. 18.
Vasomotor reactivity (A) Monitoring of bilateral MCA during a 30-second breath holding test. (B) Decreased vasomotor reactivity during CO2 inhalation. MCA; middle cerebral artery.
jnn-2018-00039f18.jpg
Table 1.
Indications for transcranial Doppler
Screening of children aged 2–16 years with sickle cell disease for assessing stroke risk
Detection and monitoring of angiographic vasospasm after spontaneous subarachnoid hemorrhage
Monitoring thrombolysis of intracranial artery occlusions
The detection of cerebral microembolic signals in a variety of cardiovascular/cerebrovascular disorders/procedures; detection of hemodynamic and embolic events that may result in perioperative stroke during and after carotid endartectomy in settings where monitoring is felt to be necessary
Monitoring during surgery for hemodynamic status; vasomotor reactivity testing
Detection of right-to-left shunts
Diagnosis of intracranial occlusive disease
Ancillary test for confirmation or exclusion of extracranial occlusive disease
Confirmation of well-collateralized chronic internal carotid artery occlusions
Diagnosis and follow-up of internal carotid artery
Evaluation of hemodynamic effects of extracranial occlusive disease on intracranial blood flow velocities
Internal carotid artery stenosis or occlusion
Subclavian steal mechanism
Functional tests such as measuring blood flow velocity during activation of circumscribed cortical areas, light and mental stimulation of the visual cortex, etc.
Noninvasive ancillary tests and monitoring procedures in animal experiments
Monitoring during experiments in space
Table 2.
Normal mean velocities, directions, acoustic windows of intracranial arteries
Artery Window Depth, mm Direction MFV, cm/s
MCA M1 (M2) Temporal 40–65 <80
ACA A1 Temporal 62–75 <80
PCA Temporal 60–68 <50
ICA Siphon Orbital 60–64 <70
OA Orbital 50–62 Variable
BA Suboccipital 80–100 <60
VA Suboccipital 45–80 <50

MFV; mean flow velocity, MCA; middle cerebral artery, ACA; anterior cerebral artery, PCA; posterior cerebral artery, ICA; internal carotid artery, OA; ophthalmic artery, BA; basilar artery, VA; vertebral artery.

Table 3.
Key parameters for TCD waveforms
Direction of flow in relation to the probe
Depth of insonation
Time-averaged maximum mean flow velocity
Peak flow velocity
End-diastolic velocity
Flow acceleration
Pulsatility index

TCD; transcranial Doppler.

Table 4.
Conditions and factors affecting pulsatility index
Increased
 Increased distal vascular resistance
 Increased intracranial pressure
 Hypocapnia
 Occlusion or severe stenosis of distal intracranial arteries
 Cerebral circulatory arrest
 Advanced age
 Small artery disease
Decreased
 Decreased distal vascular resistance
 Vasodilatation of distal vascular system to compensate the decreased perfusion
 Hypercapnia
 Hyperemia
 Arteriovenous malformation
Table 5.
Vasospasm criteria
Insonated vessels Mild vasospasm MFV, cm/s Moderate vasospasm MFV, cm/s Severe vasospasm MFV, cm/s Intracranial MFV/extracranial MFV
ACA φ MFV >50% increase from baseline in 24 hours MFV >50% increase from baseline in 24 hours φ
ICA (terminal) >120 >150 φ φ
MCA >120 >150 >200 >3 mild
3–6 moderate
>6 severe
PCA φ >110 >110 φ
BA >60 >80 >115 >3 severe
VA >60 >80 >80 φ

MFV; mean flow velocity, ACA; anterior cerebral artery, φ; variable or undefined, ICA; internal carotid artery, MCA; middle cerebral artery, PCA; posterior cerebral artery, BA; basilar artery, VA; vertebral artery.

Table 6.
Red flags in patients with SAH for vasospasm monitoring
Average rate of rise in FVs >20 cm/s/day between days 3 and 7 after the onset of SAH
Rapid early increase in flow velocities (>25%/day)
Mean absolute rise in MCA FVs or ACA FVs of 65±5 cm/s over 24-hour period and higher MCA/ICA ratio (6±0.2)
50% velocity increase in daily serial examination or the presence of an asymmetry (velocity difference exceeding 50%)

SAH; subarachnoid hemorrhage, FV; flow velocity, MCA; middle cerebral artery, ACA; anterior cerebral artery, ICA; internal carotid artery.

Table 7.
STOP study criteria for sickle cell anemia
Non-Imaging Imaging
Normal TAMM <170 cm/s
Conditional TAMM >170 but <200 cm/s in the MCA and/or distal ICA, TAMM >170 in PCA or ACA TAMM of 160–184 cm/s
PSV of 200–250
Abnormal TAMM ≥200 cm/s in MCA and/or terminal ICA TAMM ≥185 cm/s
TAMM > 220 cm/s* PSV >250 cm/s
PSV >280 cm/s*
Inadequate Study was unable to read

STOP; stroke prevention in sickle cell disease, TAMM; time-averaged mean of the maximum, MCA; middle cerebral artery, ICA; internal carotid artery, PCA; posterior cerebral artery, PSV; peak systolic velocity.

* Confirmative: 95% of having a second abnormal transcranial Doppler on repeated testing.

Table 8.
Moyamoya disease: angiographic stages, Doppler, and color Doppler
Suzuki anigographic stage – MM vessels and other findings TCD TCCD
I . Narrowing of carotid fork Increased FVs of CS
II. Initiation of MM Large and obscure or narrow carotid fork Increased FVs of CS Scattered and colored dots at the base of the brain
All dilated and enlarged intracerebral main arteries Increased FVs of MCA and ACA
Slightly formed MM vessels Some flow signals with low FV and R
III. Intensification of MM Defection of MCA and ACA Increased FVs of carotid siphon Confetti of colored dots at the base of the brain
MM vessels with changes in main intracerebral arteries (form of distinctly visualized cluster of the blood vessels) Increased FVs of MCA and ACA
Some flow signals with low FV and R around proximal and distal MCA
IV. Minimization of MM Thin ACA and MCA Increased FVs of MCA and ACA Diminishing confetti of colored dots
Thin and poor network Multiple flow signals with low FV and R around proximal and distal MCA
V. Reduction of the MM Complete disappearance of the whole main arteries from ICA Low FV with or without increased R of MCA and ACA Some scattered and colored dots at the base of the brain
Poor MM limited to the siphon Low resistance or reversed ophthalmic arteries with low R
Increased collateral from ECA Internalization of ECA
Increased FV of PCOM
VI. Disappearance of MM Complete missing of circulation from ICA Low FV with or without increased R
Maintenance of cerebral circulation only the route of ECA or of VA Reversed OA
Internalization of ECA
Increased FV of PCOM

MM; Moyamoya, TCD; transcranial Doppler, TCCD; transcranial color Doppler, CS; carotid siphon, MCA; middle cerebral artery, ACA; anterior cerebral artery, FV; flow velocity, R; resistance, ECA; external carotid artery, PCOM; posterior communicating artery, VA; vertebral artery, OA; ophthalmic artery.

REFERENCES

1. Aaslid R, Markwalder TM, Nornes H. Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries. J Neurosurg. 1982;57:769-774.
crossref pmid
2. Ringelstein EB, Kahlscheuer B, Niggemeyer E, Otis SM. Transcranial Doppler sonography: anatomical landmarks and normal velocity values. Ultrasound Med Biol. 1990;16:745-761.
crossref pmid
3. Bogdahn U, Becker G, Winkler J, Greiner K, Perez J, Meurers B. Transcranial color-coded real-time sonography in adults. Stroke. 1990;21:1680-1688.
crossref pmid
4. Lupetin AR, Davis DA, Beckman I, Dash N. Transcranial Doppler sonography. Part 1. Principles, technique, and normal appearances. Radiographics. 1995;15:179-191.
crossref pmid
5. Lupetin AR, Davis DA, Beckman I, Dash N. Transcranial Doppler sonography. Part 2. Evaluation of intracranial and extracranial abnormalities and procedural monitoring. Radiographics. 1995;15:193-209.
crossref pmid
6. Alexandrov AV, Sloan MA, Wong LK, Douville C, Razumovsky AY, Koroshetz WJ, et al. Practice standards for transcranial Doppler ultrasound: part I--test performance. J Neuroimaging. 2007;17:11-18.
crossref pmid
7. Alexandrov AV, Sloan MA, Tegeler CH, Newell DN, Lumsden A, Garami Z, et al. Practice standards for transcranial Doppler (TCD) ultrasound. Part II. Clinical indications and expected outcomes. J Neuroimaging. 2012;22:215-224.
crossref pmid
8. Lee JY, Yu S, Lee SI, Jung KH, Seo WK, Park JM. et al. Transcranial Doppler ultrasound: practice standards part I. Test performance and interpretation. Journal of Neurosonology. 2016;8:1-13.

9. Nedelmann M, Stolz E, Gerriets T, Baumgartner RW, Malferrari G, Seidel G, et al. Consensus recommendations for transcranial color-coded duplex sonography for the assessment of intracranial arteries in clinical trials on acute stroke. Stroke. 2009;40:3238-3244.
crossref pmid
10. American College of Radiology (ACR); Society for Pediatric Radiology (SPR); Society of Radiologists in Ultrasound (SRU). Aium practice guideline for the performance of a transcranial Doppler ultrasound examination for adults and children. J Ultrasound Med. 2012;31:1489-1500.
crossref pmid
11. AIUM. Aium practice parameter for the performance of a transcranial Doppler ultrasound examination for adults and children. 2017.

12. Aaslid R. Transcranial Doppler sonography. 1st ed. Berlin: Springer-Verlage Wien; 1986.

13. Babikian V, Wechsler LR. Transcranial Doppler ultrasonography. St. Louise: Mosby; 1993.

14. Tegeler CH, Babikian VL, Gomez CR. Neurosonology. St. Louis: Mosby; 1996.

15. McCartney JP, Thomas-Lukes KM, Gomez CR. Handbook of transcranial Doppler. New York: Springer Science & Business Media,; 1997.

16. Spencer MP, Reid JM. Quantitation of carotid stenosis with continuous-wave (c-w) Doppler ultrasound. Stroke. 1979;10:326-330.
crossref pmid
17. Badeer HS. Hemodynamics for medical students. Adv Physiol Educ. 2001;25:44-52.
crossref pmid
18. Alexandrov AV. The spencer’s curve: clinical implications of a classic hemodynamic model. J Neuroimaging. 2007;17:6-10.
crossref pmid
19. Gosling RG, King DH. Arterial assessment by Doppler-shift ultrasound. Proc R Soc Med. 1974;67:447-449.
pmid pmc
20. Evans DH, Barrie WW, Asher MJ, Bentley S, Bell PR. The relationship between ultrasonic pulsatility index and proximal arterial stenosis in a canine model. Circ Res. 1980;46:470-475.
crossref pmid
21. Bellner J, Romner B, Reinstrup P, Kristiansson KA, Ryding E, Brandt L. Transcranial Doppler sonography pulsatility index (PI) reflects intracranial pressure (ICP). Surg Neurol. 2004;62:45-51.
crossref pmid
22. Tegeler CH, Crutchfield K, Katsnelson M, Kim J, Tang R, Passmore Griffin L, et al. Transcranial Doppler velocities in a large, healthy population. J Neuroimaging. 2013;23:466-472.
crossref pmid
23. Kim DH, Choi JH, Moon JS, Kim HJ, Cha JK. Association between the severity of cerebral small vessel disease, pulsatility of cerebral arteries, and brachial ankle pulse wave velocity in patients with lacunar infarction. Eur Neurol. 2010;64:247-252.
crossref pmid
24. Agha MS, Alboudi A. Arterial pulsatility as an index of cerebral microangiopathy in diabetes type 2. East Mediterr Health J. 2014;19 Suppl 3:S198-S203.
pmid
25. Kotval PS. Doppler waveform parvus and tardus. A sign of proximal flow obstruction. J Ultrasound Med. 1989;8:435-440.
crossref pmid
26. O’Boyle MK, Vibhakar NI, Chung J, Keen WD, Gosink BB. Duplex sonography of the carotid arteries in patients with isolated aortic stenosis: imaging findings and relation to severity of stenosis. AJR Am J Roentgenol. 1996;166:197-202.
crossref pmid
27. Rohren EM, Kliewer MA, Carroll BA, Hertzberg BS. A spectrum of Doppler waveforms in the carotid and vertebral arteries. AJR Am J Roentgenol. 2003;181:1695-1704.
crossref pmid
28. Klingelhöfer J, Conrad B, Benecke R, Frank B. Transcranial Doppler ultrasonography of carotid-basilar collateral circulation in subclavian steal. Stroke. 1988;19:1036-1042.
crossref pmid
29. Kizilkilic O, Oguzkurt L, Tercan F, Yalcin O, Tan M, Yildirim T. Subclavian steal syndrome from the ipsilateral vertebral artery. AJNR Am J Neuroradiol. 2004;25:1089-1091.
pmid pmc
30. Brunhölzl C, von Reutern GM. Hemodynamic effects of innominate artery occlusive disease. Evaluation by Doppler ultrasound. Ultrasound Med Biol. 1989;15:201-204.
crossref pmid
31. Tan TY, Lien LM, Schminke U, Tesh P, Reynolds PS, Tegeler CH. Hemodynamic effects of innominate artery occlusive disease on anterior cerebral artery. J Neuroimaging. 2002;12:59-62.
crossref pmid
32. López-Hernández N, García-Escrivá A, Ballenilla F, Gallego-Leon JI. Hemodynamic effects of proximal supra-aortic artery stenosis on anterior cerebral artery. Ultrasound Med Biol. 2015;41:1488-1492.
crossref pmid
33. Foreman JE, Hutchison KJ. Arterial wall vibration distal to stenoses in isolated arteries of dog and man. Circ Res. 1970;26:583-590.
crossref pmid
34. Stein PD, Sabbah HN, Magilligan DJ Jr, Lakier JB. Mechanism of a musical systolic murmur caused by a degenerated porcine bioprosthetic valve. Am J Cardiol. 1982;49:1874-1882.
crossref pmid
35. Stein PD, Sabbah HN, Lakier JB. Origin and clinical relevance of musical murmurs. Int J Cardiol. 1983;4:103-112.
crossref pmid
36. Aaslid R, Nornes H. Musical murmurs in human cerebral arteries after subarachnoid hemorrhage. J Neurosurg. 1984;60:32-36.
crossref pmid
37. Guan J, Zhou Q, Ouyang H, Zhang S, Lu Z. The diagnostic accuracy of TCD for intracranial arterial stenosis/occlusion in patients with acute ischemic stroke: the importance of time interval between detection of TCD and CTA. Neurol Res. 2013;35:930-936.
crossref pmid
38. Ringelstein EB. Cerebrovascular diseases. In: Tegeler CH, Babikian VL, Gomez CR, eds. Neurosonology. St. Louis: Mosby; 1996. p. 172-188.

39. de Bray JM, Joseph PA, Jeanvoine H, Maugin D, Dauzat M, Plassard F. Transcranial Doppler evaluation of middle cerebral artery stenosis. J Ultrasound Med. 1988;7:611-616.
crossref pmid
40. Ley-Pozo J, Ringelstein EB. Noninvasive detection of occlusive disease of the carotid siphon and middle cerebral artery. Ann Neurol. 1990;28:640-647.
crossref pmid
41. Felberg RA, Christou I, Demchuk AM, Malkoff M, Alexandrov AV. Screening for intracranial stenosis with transcranial Doppler: the accuracy of mean flow velocity thresholds. J Neuroimaging. 2002;12:9-14.
crossref pmid
42. Navarro JC, Lao AY, Sharma VK, Tsivgoulis G, Alexandrov AV. The accuracy of transcranial Doppler in the diagnosis of middle cerebral artery stenosis. Cerebrovasc Dis. 2007;23:325-330.
crossref pmid
43. Zhao L, Barlinn K, Sharma VK, Tsivgoulis G, Cava LF, Vasdekis SN, et al. Velocity criteria for intracranial stenosis revisited: an international multicenter study of transcranial Doppler and digital subtraction angiography. Stroke. 2011;42:3429-3434.
crossref pmid
44. Babinkin V. Transcranial Doppler evaluation of patients with ischemic cerebrovascular disease. In: Babikian V, Wechsler LR, eds. Transcranial Doppler ultrasoography. St. Louis: Mosby; 1993. p. 87-103.

45. Zhong J, Chen XY, Leung TW, Ou A, Shi X, Cai Y, et al. Significance of raised flow velocity in basilar artery in patients with acute ischemic stroke: focal stenosis, coexistent stenosis, and collateral flow. J Neuroimaging. 2015;25:922-926.
crossref pmid
46. Schneider PA, Rossman ME, Torem S, Otis SM, Dillery RB, Bernstein EF. Transcranial Doppler in the management of extracranial cerebrovascular disease: implications in diagnosis and monitoring. J Vasc Surg. 1988;7:223-231.
crossref pmid
47. Kelley RE, Namon RA, Juang SH, Lee SC, Chang JY. Transcranial Doppler ultrasonography of the middle cerebral artery in the hemodynamic assessment of internal carotid artery stenosis. Arch Neurol. 1990;47:960-964.
crossref pmid
48. Cantelmo NL, Babikian VL, Johnson WC, Samaraweera R, Hyde C, Pochay VE. Correlation of transcranial Doppler and noninvasive tests with angiography in the evaluation of extracranial carotid disease. J Vasc Surg. 1990;11:786-791 discussion 791-792.
crossref pmid
49. Archie JP Jr, Feldtman RW. Critical stenosis of the internal carotid artery. Surgery. 1981;89:67-72.
pmid
50. Perlmutter D, Rhoton AL Jr. Microsurgical anatomy of the anterior cerebral-anterior communicating-recurrent artery complex. J Neurosurg. 1976;45:259-272.
crossref pmid
51. Tao X, Yu XJ, Bhattarai B, Li TH, Jin H, Wei GW, et al. Microsurgical anatomy of the anterior communicating artery complex in adult chinese heads. Surg Neurol. 2006;65:155-161 discussion 161.
crossref pmid
52. Kedia S, Daisy S, Mukherjee KK, Salunke P, Srinivasa R, Narain MS. Microsurgical anatomy of the anterior cerebral artery in Indian cadavers. Neurol India. 2013;61:117-121.
crossref pmid
53. Kwon HM, Lee YS. Transcranial Doppler sonography evaluation of anterior cerebral artery hypoplasia or aplasia. J Neurol Sci. 2005;231:67-70.
crossref pmid
54. Park JH, Kim JM, Roh JK. Hypoplastic vertebral artery: frequency and associations with ischaemic stroke territory. J Neurol Neurosurg Psychiatry. 2007;78:954-958.
crossref pmid
55. Zhang DP, Ma QK, Zhang JW, Zhang SL, Lu GF, Yin S. Vertebral artery hypoplasia, posterior circulation infarction and relative hypoperfusion detected by perfusion magnetic resonance imaging semiquantitatively. J Neurol Sci. 2016;368:41-46.
crossref pmid
56. Min JH, Lee YS. Transcranial Doppler ultrasonographic evaluation of vertebral artery hypoplasia and aplasia. J Neurol Sci. 2007;260:183-187.
crossref pmid
57. Tian JW, Sun LT, Zhao ZW, Gao J. Transcranial color Doppler flow imaging in detecting severe stenosis of the intracranial vertebral artery: a prospective study. Clin Imaging. 2006;30:1-5.
crossref pmid
58. Jeng JS, Yip PK. Evaluation of vertebral artery hypoplasia and asymmetry by color-coded duplex ultrasonography. Ultrasound Med Biol. 2004;30:605-609.
crossref pmid
59. Lin SK, Ryu SJ, Chang YJ, Lee TH. Clinical relevance of musical murmurs in color-coded carotid and transcranial duplex sonographies. AJNR Am J Neuroradiol. 2006;27:1493-1497.
pmid pmc
60. Thalhammer C, Aschwanden M, Husmann M, Jeanneret C, Jacomella V, Clemens RK, et al. Clinical relevance of musical murmurs in color-coded duplex sonography of peripheral and visceral vessels. Vasa. 2011;40:302-307.
crossref pmid
61. Aaslid R, Huber P, Nornes H. Evaluation of cerebrovascular spasm with transcranial Doppler ultrasound. J Neurosurg. 1984;60:37-41.
crossref pmid
62. Aaslid R, Huber P, Nornes H. A transcranial Doppler method in the evaluation of cerebrovascular spasm. Neuroradiology. 1986;28:11-16.
crossref pmid pdf
63. Lindegaard KF, Bakke SJ, Sorteberg W, Nakstad P, Nornes H. A non-invasive Doppler ultrasound method for the evaluation of patients with subarachnoid hemorrhage. Acta Radiol Suppl. 1986;369:96-98.
pmid
64. Aaslid R. Transcranial Doppler assessment of cerebral vasospasm. Eur J Ultrasound. 2002;16:3-10.
crossref pmid
65. Adams RJ, McKie VC, Hsu L, Files B, Vichinsky E, Pegelow C, et al. Prevention of a first stroke by transfusions in children with sickle cell anemia and abnormal results on transcranial Doppler ultrasonography. N Engl J Med. 1998;339:5-11.
crossref pmid
66. Adams R, McKie V, Nichols F, Carl E, Zhang DL, McKie K, et al. The use of transcranial ultrasonography to predict stroke in sickle cell disease. N Engl J Med. 1992;326:605-610.
crossref pmid
67. Bulas DI, Jones A, Seibert JJ, Driscoll C, O’Donnell R, Adams RJ. Transcranial Doppler (TCD) screening for stroke prevention in sickle cell anemia: pitfalls in technique variation. Pediatr Radiol. 2000;30:733-738.
crossref pmid pdf
68. Jones AM, Seibert JJ, Nichols FT, Kinder DL, Cox K, Luden J, et al. Comparison of transcranial color Doppler imaging (TCDI) and transcranial Doppler (TCD) in children with sickle-cell anemia. Pediatr Radiol. 2001;31:461-469.
crossref pmid pdf
69. Nichols FT, Jones AM, Adams RJ. Stroke prevention in sickle cell disease (STOP) study guidelines for transcranial Doppler testing. J Neuroimaging. 2001;11:354-362.
crossref pmid
70. Adams RJ. TCD in sickle cell disease: an important and useful test. Pediatr Radiol. 2005;35:229-234.
crossref pmid pdf
71. Jones A, Granger S, Brambilla D, Gallagher D, Vichinsky E, Woods G, et al. Can peak systolic velocities be used for prediction of stroke in sickle cell anemia? Pediatr Radiol. 2005;35:66-72.
crossref pmid pdf
72. Suzuki J, Takaku A. Cerebrovascular “moyamoya” disease. Disease showing abnormal net-like vessels in base of brain. Arch Neurol. 1969;20:288-299.
crossref pmid
73. Han C, Feng H, Han YQ, Liu WW, Zhang ZS, Yang WZ, et al. Prospective screening of family members with moyamoya disease patients. PLoS One. 2014;9:e88765.
crossref pmid pmc
74. Kwag HJ, Jeong DW, Lee SH, Kim DH, Kim J. Intracranial hemodynamic changes during adult moyamoya disease progression. J Clin Neurol. 2008;4:67-74.
crossref pmid pmc
75. Pan HW, Chen L, Jiang HQ, Ye Z, Wang Y, Wang Y. Color Doppler ultrasonography in the evaluation of compensatory arteries in patients with moyamoya disease: combined with cerebral angiography. Eur Rev Med Pharmacol Sci. 2016;20:937-945.
pmid
76. Laborde G, Harders A, Klimek L, Hardenack M. Correlation between clinical, angiographic and transcranial Doppler sonographic findings in patients with moyamoya disease. Neurol Res. 1993;15:87-92.
crossref pmid
77. Ruan LT, Duan YY, Cao TS, Zhuang L, Huang L. Color and power Doppler sonography of extracranial and intracranial arteries in moyamoya disease. J Clin Ultrasound. 2006;34:60-69.
crossref pmid
78. Lee YS, Jung KH, Roh JK. Diagnosis of moyamoya disease with transcranial Doppler sonography: correlation study with magnetic resonance angiography. J Neuroimaging. 2004;14:319-323.
crossref pmid
79. Muttaqin Z, Ohba S, Arita K, Nakahara T, Pant B, Uozumi T, et al. Cerebral circulation in moyamoya disease: a clinical study using transcranial Doppler sonography. Surg Neurol. 1993;40:306-313.
crossref pmid
80. Takase K, Kashihara M, Hashimoto T. Transcranial Doppler ultrasonography in patients with moyamoya disease. Clin Neurol Neurosurg. 1997;99 Suppl 2:S101-S105.
crossref pmid
81. Morgenstern C, Griewing B, Müller-Esch G, Zeller JA, Kessler C. Transcranial power-mode duplex ultrasound in two patients with moyamoya syndrome. J Neuroimaging. 1997;7:190-192.
crossref pmid
82. Seo WK, Choi CW, Kim CK, Oh K. Contrast-enhanced color-coded Doppler sonography in moyamoya disease: a retrospective study. Ultrasound Med Biol. 2018;44:1281-1285.
crossref pmid
83. Jung KH, Seo WK, Park JM, Lee JY, Yu S, Lee SI, et al. Transcranial Doppler ultrasound: practice standards Part II. Clinical indications and utility. Journal of Neurosonology. 2016;8:14-29.

84. Ritter MA, Dittrich R, Thoenissen N, Ringelstein EB, Nabavi DG. Prevalence and prognostic impact of microembolic signals in arterial sources of embolism. A systematic review of the literature. J Neurol. 2008;255:953-961.
crossref pmid pdf
85. King A, Markus HS. Doppler embolic signals in cerebrovascular disease and prediction of stroke risk: a systematic review and meta-analysis. Stroke. 2009;40:3711-3717.
crossref pmid
86. Ringelstein EB, Droste DW, Babikian VL, Evans DH, Grosset DG, Kaps M, et al. Consensus on microembolus detection by TCD. International consensus group on microembolus detection. Stroke. 1998;29:725-729.
crossref pmid
87. Ringelstein EB, Sievers C, Ecker S, Schneider PA, Otis SM. Noninvasive assessment of CO2-induced cerebral vasomotor response in normal individuals and patients with internal carotid artery occlusions. Stroke. 1988;19:963-969.
crossref pmid
88. Markus HS, Harrison MJ. Estimation of cerebrovascular reactivity using transcranial Doppler, including the use of breath-holding as the vasodilatory stimulus. Stroke. 1992;23:668-673.
crossref pmid
89. Settakis G, Lengyel A, Molnár C, Bereczki D, Csiba L, Fülesdi B. Transcranial Doppler study of the cerebral hemodynamic changes during breath-holding and hyperventilation tests. J Neuroimaging. 2002;12:252-258.
crossref pmid
90. Kim J, Tegeler CH, Collins G, Steelman D, Reynolds P, Martin D, et al. Bilateral transcranial Doppler monitoring during breath-holding in young amateur athletes. J Neuroimaging. 2003;13:173.

91. Fierstra J, Sobczyk O, Battisti-Charbonney A, Mandell DM, Poublanc J, Crawley AP, et al. Measuring cerebrovascular reactivity: what stimulus to use? J Physiol. 2013;591:5809-5821.
crossref pmid pmc
92. Silvestrini M, Troisi E, Matteis M, Cupini LM, Caltagirone C. Transcranial Doppler assessment of cerebrovascular reactivity in symptomatic and asymptomatic severe carotid stenosis. Stroke. 1996;27:1970-1973.
crossref pmid
93. Sterzer P, Meintzschel F, Rösler A, Lanfermann H, Steinmetz H, Sitzer M. Pravastatin improves cerebral vasomotor reactivity in patients with subcortical small-vessel disease. Stroke. 2001;32:2817-2820.
crossref pmid
94. Deplanque D, Lavallee PC, Labreuche J, Gongora-Rivera F, Jaramillo A, Brenner D, et al. Cerebral and extracerebral vasoreactivity in symptomatic lacunar stroke patients: a case-control study. Int J Stroke. 2013;8:413-421.
crossref pmid
95. Jovanović ZB, Pavlović AM, Pekmezović T, Mijajlović M, Covicković NS. Transcranial Doppler assessment of cerebral vasomotor reactivity in evaluating the effects of vinpocetine in cerebral small vessel disease: a pilot study. Ideggyogy Sz. 2013;66:263-268.
pmid
96. Staszewski J, Skrobowska E, Piusińska-Macoch R, Brodacki B, Stępień A. Cerebral and extracerebral vasoreactivity in patients with different clinical manifestations of cerebral small-vessel disease: data from the significance of hemodynamic and hemostatic factors in the course of different manifestations of cerebral small-vessel disease study. J Ultrasound Med. 2019;38:975-987.
crossref pmid
97. Lee JY, Lee YS. Vasomotor reactivity in middle cerebral artery stenosis. J Neurol Sci. 2011;301:35-37.
crossref pmid
98. Gardner AJ, Tan CO, Ainslie PN, van Donkelaar P, Stanwell P, Levi CR, et al. Cerebrovascular reactivity assessed by transcranial Doppler ultrasound in sport-related concussion: a systematic review. Br J Sports Med. 2015;49:1050-1055.
crossref pmid
99. Markus H, Cullinane M. Severely impaired cerebrovascular reactivity predicts stroke and TIA risk in patients with carotid artery stenosis and occlusion. Brain. 2001;124:457-467.
crossref pmid pdf


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