Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
View/Download PDF

Translate this page into:

Original Article
10 (
3
); 400-404
doi:
10.1055/s-0039-1696586

Accuracy of Transcranial Doppler Ultrasound Compared with Magnetic Resonance Angiography in the Diagnosis of Intracranial Artery Stenosis

Department of Neurology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China

Yan Fu-Ling Department of Neurology, Zhongda Hospital Affiliated to Southeast University Dingjiaqiao 87, Nanjing China yanfuling218@163.com

Licence
This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Disclaimer:
This article was originally published by Thieme Medical and Scientific Publishers and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Abstract

Background One of the most common causes of acute cerebral infarction (ACI) is intracranial artery stenosis (ICAS). The goal of our study was to evaluate the accuracy of transcranial Doppler (TCD) compared with magnetic resonance angiography (MRA) for diagnosing ICAS in patients with ACI.

Materials and Methods Consecutive patients presenting with ACI to the neurology department underwent both MRA and TCD examination within 6 hours of difference. To calculate the agreement between the results of MRA and TCD, kappa coefficient test was used. Sensitivity, specificity, and positive and negative TCD predictive values have been calculated in comparison with MRA.

Results A total of 115 patients was included. There were 77 males (66.95%) and 38 females (33.04%). The mean age of patients was 68.32 ± 10.66 years (range 29–80). The agreement between TCD and MRA in detecting stenosis was 0.56 for anterior circulation artery (ACA), and 0.40 for posterior circulation artery. For the detection of ICAS, sensitivity, specificity, positive predictive value, and negative predictive values were 85.9, 90.0, 98.2, and 50.0% for anterior cerebral artery and 73.5, 86.7, 96.2, and 40.0% for posterior cerebral artery, respectively.

Conclusions Moderate agreement of anterior circulation stenosis and fair agreement for posterior circulation stenosis was found between TCD and MRA in the evaluation of ICAS. In anterior circulation, the diagnostic accuracy of TCD is higher compared with the posterior circulation.

Keywords

acute cerebral infarction
intracranial artery stenosis
transcranial Doppler ultrasound
magnetic resonance angiography

Introduction

Imaging tests, such as transcranial Doppler (TCD), magnetic resonance angiography (MRA), computed tomography angiography (CTA), and digital subtraction angiography (DSA), are available for intracranial artery stenosis (ICAS) diagnosis.1 Among these methods, TCD is a comparatively affordable, noninvasive, portable, and technically simpler tool of a diagnostic method for diagnosing ICAS.2 Although this technique is widely available and very affordable, due to its high operator-dependent nature and limited scope of application, its diagnostic accuracy is generally debated in patients with sufficient acoustic windows.3 Although the accuracy of TCD in calculating the severity of stenosis differs from reporting studies, it is advantageous to find out ICAS because it provides real-time information about the velocity of blood flow compared with static imaging methods, such as CTA or MRA.4 5 MRA is another noninvasive method used to assess the status of intracranial arteries and circle of Willis and has shown a higher sensitivity and specificity to determine ICAS than conventional DSA.6 A few studies have focused on the correlation between TCD and MRA to the diagnosis of ICAS.7 The goal of our study was to evaluate the accuracy of TCD compared with MRA for diagnosing ICAS in patients with acute cerebral infarction (ACI).

Materials and Methods

We retrospectively examined consecutive patients who presented with symptoms of ACI between April 1, 2017 and April 30, 2018. All patients were collected from the Affiliated Zhongda Hospital of Southeast University. Eligible patients have been included in this analysis if they fulfill the following criteria. Inclusion criteria: (1) patients hospitalized with clinical sign of ACI within 24 hours of onset, (2) age between 18 and 80 years, and (3) clinical examination and neuroimaging showed ACI; Exclusion criteria: (1) computed tomography (CT) scan of the head demonstrated intracerebral hemorrhage, (2) insufficient acoustic bone windows in TCD, and (3) contraindication for MRA.

All patients underwent CT scan (SOMATOM sensation; Germany) head to exclude intracerebral hemorrhage or tumors.

The basic examinations included a physical examination, a medical history, routine blood tests, chest X-ray, electrocardiogram, lipid profile, coagulation profile, and thyroid function test. Patients have also been screened for infectious disease. Patient's baseline characteristics were recorded, including age, gender, medical history, and smoking/alcohol consumption history. The following risk factors were considered: hypertension, which is characterized those receiving antihypertensive drugs with systolic blood pressure (BP) ≥ 140 mm Hg or diastolic BP ≥90 mm Hg more than once.8 Diabetes mellitus, including taking antidiabetic medication or having fasting blood glucose level > 126 mg/dL (≥7.0 mmol/L).9 Hyperlipidemia, including on lipid-lowering agent, total cholesterol level of > 220 mg/dL (5.69 mm) or low-density lipoprotein ≥ 130 mg/dL.10 In addition, the current smoker was defined as a patient who continuously smoked 1 cigarette per day for 6 months, and heavy drinker defined as drinking > 2 units per day on average for men or > 1 unit per day on average for women. Atrial fibrillation has also been included in the analysis as risk points.

This study protocol is in line with the Helsinki Declaration and was approved by the Southeast University Ethics Committee. Written informed consents were taken from all patients.

Transcranial Doppler Finding of Intracranial Artery Stenosis

Immediately after admission, all eligible patients received a TCD bedside exam, conducted by an experienced sonog-rapher who was not familiar with the clinical report of the patients in accordance with a standardized rapid (lasting > 15 minutes) insonation protocol.11 Our department routinely uses 2 MHz TCD probe to identify ICAS and cerebral arteries blood flow pattern through acoustic windows. The transtemporal approach detected the anterior cerebral artery (ACA), middle cerebral artery (MCA), terminal internal carotid artery (TICA), and posterior cerebral artery (PCA), and the occipital window detected the vertebral artery (VA) and basilar artery (BA). For exposure to different arteries, the insonation depth was as follows: 65 to 72 mm for ACA, 50 to 65 mm for MCA, 65 to 75 mm for TICA, 65 mm for PCA, 62 to 70 mm for VA, and 85 to 95 mm for BA. For each artery, TCD recorded certain parameters that are directly measured, such as peak systolic velocity (PV), and end-diastolic velocity (EDV). The blood flow direction and the waveform characteristics are evaluated. In addition, the derived parameters include mean flow velocity (MFV), the pulsatility index (PI), and resistivity index (RI). PI is a common measure to describe the shape of the waveform of the signal and is calculated using PI = (PV–EDV)/MFV formula. RI is a peripheral flow resistance measurement and is calculated using the RI = (PV-EDV)/PV formula. The purpose of the probe was to achieve the highest frequency of Doppler at each depth.

Anterior circulation stenosis was diagnosed if one of the following characteristics has been present: (1) acceleration of flow stenosis was diagnosed if the PV was higher than 120 cm/s at a circumscribed insonation depth. To differentiate high-velocity flow from stenosis due to hemispheric hyperperfusion, a stenotic lesion was diagnosed only under the following conditions: (i) if changes in flow speed were “circumscribed” (maximum changes in flow speed were limited to short segment); (ii) if flow distal segment flow velocity (FV) (ipsilateral terminal internal carotid, middle cerebral, or ACA) became blunted; and (iii) if there was an abnormal spectrum (i.e., circumscribed turbulence or musical murmur).(2) Side-to-side difference-stenosis was diagnosed if the velocity of contralateral artery was higher by 30%.12

Posterior circulation stenosis was diagnosed using maximum MFV obtained from the PCA, VA, and BA with a 4-second spectral Doppler data acquisition sweep. Stenosis of more than ≥ 50% was diagnosed when MFV was more than 80 cm/s,13 and when stenotic-to-normal MFV ratio was ≥ 2, with side-to-side differences > 20% and circumscribed turbulence or musical murmur at the site of the stenosis.14 15

MRA Examination

MRA was performed on a 3.0 Tesla Magnet system (Philips) with axial three-dimensional time of flight MRA of the circle of Willis was obtained (TR = 15.0 ms, TE = 3.45 ms, flip angle = 25, NEX = 1, field of view = 242 x 242 mm, matrix size 512 x 512, 24 slices x 3 sections, slice thickness 1 mm) in patients with no evidence of intracranial bleeding and no contraindication for MRA. Source images and maximum intensity projection rendering have been obtained. The reduction in luminal diameter of the residual lumen of at least 50% applying the method explained in the Warfarin-Aspirin for Symptomatic Intracranial Disease Study was considered to represent a significant ICAS.16 Two neuroradiologists without knowledge of the clinical findings independently interpreted MRA studies and agreement was obtained for the final analysis.

Statistical Analysis

SPSS software (version 20, SPSS Inc., Chicago, Illinois, United States) was used for data storage and analysis. The descriptive data were shown as the mean ± standard deviation or median (range). To calculate the agreement between the results of the MRA and TCD, the kappa coefficient test was used. Sensitivity, specificity, and positive and negative TCD predictive values have been calculated in comparison with MRA.

Results

In total, 150 of ACI patients were involved in the present study. Of these, 20 patients were excluded due to an insufficient acoustic bone window during TCD examination, 6 patients due to contraindication for MRA (metallic impl ants, pacemaker in the heart), and 9 patients due to intracerebral hemorrhages complication after intravenous thrombolytic therapy. In this study, the remaining 115 patients were included. There were 77 males (66.95%) and 38 females (33.04%). Mean age of patients was 68.32 ± 10.66 years (range 29–80). Median National Institute of Health Stroke Scale score was 4, range, 2 to 24 points. Median modified Rankin Scale score was 3, range, 3 to 5 points. According to the National Institute of Neurological Disease and the protocol for stroke trial, 50 patients eligible for intravenous thrombolytic treatment have been treated.17 After 24 hours, the CT scans of head was done which showed 9 patients with intracerebral hemorrhages complications following intravenous thrombolytic treatment. The demographic characteristic and vascular risk factors for ACI patients are shown in Table 1. All ACI patients were examined with TCD and MRA within 6 hours of the difference. The interval between MRA and TCD performance was 6 ± 1.0 hours. The TCD was performed before MRA in 15 patients and the MRA was performed before TCD in 100 patients. Length of time between TCD and MRA was 30 to 150 minutes. The TCD and MRA findings of ICAS are summarized in Table 2.

Table 1
Demographic characteristics and vascular risk factors of the study population (n = 115)

Variables

All patients (n = 115)

Abbreviations: AF, atrial fibrillation; DM, diabetes mellitus; HTN, hypertension; mRS, modified Rankin Scale; NIHSS, National Institute of Health Stroke Scale; SD, standard deviation; TIA, transient ischemic attack.

Age, y (mean ± SD)

66.32 ± 10.66

Gender, male

77 (67.0%)

HTN

84 (73.0%)

DM

36 (31.3%)

AF

22 (19.1%)

Hyperlipidemia

4 (3.5%)

Smoking

50 (43.5%)

Alcohol

24 (20.9%)

Previous stroke or TIA

25 (21.7%)

Median admission NIHSS, range

2-24

Median admission mRS, range

3-5

Table 2
Number of stenosis in anterior and posterior circulation arteries as detected by TCD and MRA

Location

TCD

MRA

Abbreviations: MRA, magnetic resonance angiography; TCD, transcranial Doppler.

Anterior circulation

56

64

Posterior circulation

26

34

Kappa coefficient values calculated to determine the agreement between TCD and MRA for assessment of ACA was 0.56 (moderate agreement), for PCA it was 0.40 (fair agreement).

The sensitivity, specificity, positive predictive value, and negative predictive value for the detection of ICAS were 85.9, 90.0, 98.2, and 50.0% for anterior circulation and 73.5, 86.7, 96.2, and 40.0% for posterior circulation on TCD in comparison to MRA, and are presented in Tables 3 and 4. The diagnostic accuracy of TCD in anterior circulation is higher in comparison to posterior circulation. MRA showing stenosis in MCA and BA along with TCD findings in the respective arteries are shown in Fig. 1.

Table 3
Sensitivity, specificity, and positive and negative predictive values of transcranial Doppler for detection of ICAS in comparison with magnetic resonance angiography in anterior circulation stenosis

Parameter

Value

Abbreviations: ICAS, intracranial artery stenosis; NPV, negative predictive value; PPV, positive predictive value.

Sensitivity, %

85.9

Specificity, %

90.0

PPV, %

98.2

NPV, %

50.0

Table 4
Sensitivity, specificity, and positive and negative predictive values of transcranial Doppler for detection of ICAS in comparison with magnetic resonance angiography in posterior circulation stenosis

Parameter

Value

Abbreviations: ICAS, intracranial artery stenosis; NPV, negative predictive value; PPV, positive predictive value.

Sensitivity, %

73.5

Specificity, %

86.7

PPV, %

96.2

NPV, %

40.0

Fig. 1 A 65-year-old female with left middle cerebral artery ischemic stroke who presented with right-sided hemiparesis. (A) MRA showed stenosis of left MCA (white arrow). (B) TCD showed markedly elevated flow velocity (181/81 cm/s) and musical murmurs (white arrow) in the left MCA. A 72-year-old female with brainstem infarction who presented with dizziness and unstable to walk (C) MRA showed stenosis of BA (white arrow). (D) TCD showed markedly elevated blood flow velocity (220/90 cm/s) and musical murmurs (white arrow) in the BA.

Fig. 1 A 65-year-old female with left middle cerebral artery ischemic stroke who presented with right-sided hemiparesis. (A) MRA showed stenosis of left MCA (white arrow). (B) TCD showed markedly elevated flow velocity (181/81 cm/s) and musical murmurs (white arrow) in the left MCA. A 72-year-old female with brainstem infarction who presented with dizziness and unstable to walk (C) MRA showed stenosis of BA (white arrow). (D) TCD showed markedly elevated blood flow velocity (220/90 cm/s) and musical murmurs (white arrow) in the BA.

Discussion

In Asia, ICAS is considered a major cause of stroke.18 To detect ICAS, several noninvasive diagnostic tools were used. MRA, CTA, and TCD methods are commonly used. TCD is one of the most frequently used tests due to its simplicity and affordability; moreover, it permits monitoring of bedside in critical condition.19 It also provides further information on the intracranial circulation's hemodynamics status in real time. Nonetheless, TCD has some limitation. For example, in our study, we found that 20 (13.3%) patients have a lack of sufficient acoustic window; however, it also depends on the operator. The failure rate increases with age and also in women due to the higher prevalence of temporal hyperostosis.

RI is a TCD parameter that is used to measure the peripheral flow resistance and is calculated using the RI = (PSV–EDV)/PSV formula. Any value below 0.75 is normal. RI value above 0.8 indicates increased downstream resistance. The changes in RI reflect similar patterns of disease as seen in an abnormal PI.20 It was observed that RI also represents a good estimate of high intracranial pressure (ICP) in various intracranial pathologies. However, the RI index is less sensitive to ICP when compared with PI. There is significant variation in patients when measured at a different time. The velocity of MCA flow varies by approximately 10% cyclically.21 The FV of MCA varies cyclically by approximately 10%.22 Side-to-side variation was evaluated and the difference of more than 14% should be considered abnormal.23 Day-to-day variation in 95% of people should be less than 10 cm/s. The variability between observers was reported to be around 7.5% on the same day, and approximately 13% on different days.24

DSA is considered the gold standard for extracranial artery stenosis and ICAS to evaluate stroke patients.25 It is, however, invasive, costly, and associated with major “periprocedural” complications.26 MRA delivers angiogram-like images that multiple planes can be by a three-dimensional post processing.27 Time-of-flight MRA generates angiogram-like images in multiple planes by 3-dimensional postprocessing. In addition, the combination of TCD and MRA is more reliable than DSA alone in the identification of MCA stenosis,28 and helpful in defining the border zone infarction stroke mechanism in carotid stenosis.29

Our research demonstrated the accuracy of TCD in diagnosing ICAS in patients with ACI and showed that the diagnostic accuracy of TCD is higher, particularly in anterior circulation where sensitivity is 85.9% and specificity is 90.0%. However, the accuracy of TCD in the diagnosis of posterior circulation is less than that of anterior circulation, because of awkward insonation angles and high frequency of morphological variations in the posterior circulation especially in BA and VA. In recent years, several studies have published the accuracy of TCD compared with MRA in diagnosing ICAS in ACI.7 30 As a noninvasive and safe method, TCD can detect not only the site of stenosis or occlusion of intracranial arteries but also the degree of the lesion.31

Our research showed moderate agreement between TCD and MRA for evaluation of anterior circulation stenosis. Similar results were previously obtained by Navarro et al,32 who compared 573 patients referred for TCD with contrast angiography or MRA in a row. They calculated accuracy parameters for TCD were as follows: sensitivity = 90%, specificity = 83%. Our research showed fair agreement for the diagnosis of posterior circulation stenosis between TCD and MRA. Our results in the posterior circulation are consistent with the reports by Ghor-bani et al33 and de Bray et al,34 who found that TCD has a lower sensitivity but high ICAS diagnostic specificity. This can probably be explained by an anatomical variation of the posterior circulation, and for TCD insonation it can be difficult to locate.35 Our findings are inconsistent with Gujjar et al,36 who reported a poor correlation between TCD and MRA in acute ischemic stroke patients. In the previous study, TCD studies were performed within 5 days of the onset of stroke. The mean time interval between MRA and TCD was 6 ± 1.0 hours in our study. A long time delay between TCD and MRA can provide ample time for the dissolution of thrombus propagation, consideration of discrepancies between the studies, and guaranteed minimum biological modification during this period.

Our study has some limitation. First, a single-center study was conducted. Second, the sample size was very small. Third, some patients were excluded because they did not have an acoustic bone window and others had contraindications for MRA. Fourth, TCD is an operator-dependent technique that requires considerable experience in intracranial arterial anatomy and understanding.

Conclusion

In the evaluation of ICAS, moderate agreement was found for anterior circulation stenosis and fair agreement for posterior circulation stenosis between TCD and MRA. In anterior circulation, the diagnostic accuracy of TCD is higher compared with posterior circulation. TCD is a relatively cheap, noninvasive, portable, and technically easier tool. The validation of intracranial vascular anatomy with TCD is less than MRA, especially in the peripheral intracranial circulation. TCD provides information on the blood flow velocities of the intracranial blood vessels in real time, whereas MRA only provides anatomical details.

Conflict of Interest

None declared.

Funding None.

References

  1. , , . Quantification and assessment of extra-cranial and intracranial occlusive disease. J Vasc Interv Neurol. 2008;1(1):14-15.
    [Google Scholar]
  2. , , , . Evaluating intracranial atherosclerosis rather than intracranial stenosis. Stroke. 2014;45(2):645-651.
    [Google Scholar]
  3. , , , , . Use of transcranial Doppler (TCD) ultrasound in the neurocritical care unit. Neurosurg Clin N Am. 2013;24(3):441-456.
    [Google Scholar]
  4. , , , . Stroke Outcomes and Neuroimaging of Intracranial Atherosclerosis (SONIA) Trial Investigators. The Stroke Outcomes and Neuroimaging of Intracranial Atherosclerosis (SONIA) trial. Neurology. 2007;68(24):2099-2106.
    [Google Scholar]
  5. , , , , , . 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(9):930-936.
    [Google Scholar]
  6. , , , , , , . Comparison of magnetic resonance angiography, conventional angiography, and duplex scanning. Stroke. 1992;23(3):341-346.
    [Google Scholar]
  7. , , , , . Comparison of transcranial color-coded sonography and magnetic resonance angiography in acute stroke. Stroke. 1997;28(8):1601-1606.
    [Google Scholar]
  8. , , , . Plasma total homocysteine level is associated with the pulsatility index of cerebral arteries in lacunar infarction. Yonsei Med J. 2013;54(4):819-824.
    [Google Scholar]
  9. , , , , , . Brain natriuretic peptide levels as a predictor for new atrial fibrillation during hospitalization in patients with acute ischemic stroke. Am J Cardiol. 2012;109(9):1303-1307.
    [Google Scholar]
  10. , , , , . Risk factors between intracranial-extracranial atherosclerosis and anterior-posterior circulation stroke in ischaemic stroke. Neurol Res. 2017;39(1):30-35.
    [Google Scholar]
  11. , , , . Yield and accuracy of urgent combined carotid/transcranial ultrasound testing in acute cerebral ischemia. Stroke. 2005;36(1):32-37.
    [Google Scholar]
  12. , , , . American Society of Neuroimaging Practice Guidelines Committee. Practice standards for transcranial Doppler ultrasound: part I-test performance. J Neuroimaging. 2007;17(1):11-18.
    [Google Scholar]
  13. Stroke Outcomes and Neuroimaging of Intracranial Atherosclerosis (SONIA) Trail Investigators. Stroke outcome and neuroimaging of intracranial atherosclerosis (SONIA): design of a prospective, multicenter trial of diagnostic tests. Neuroepidemiology 2004;23(1-2):23-32
  14. , , , , , . Screening for intracranial stenosis with transcranial Doppler: the accuracy of mean flow velocity thresholds. J Neuroimaging. 2002;12(1):9-14.
    [Google Scholar]
  15. , , , . Assessment of >/=50% and <50% intracranial stenoses by transcranial color-coded duplex sonography. Stroke. 1999;30(1):87-92.
    [Google Scholar]
  16. , , , , , . A standardized method for measuring intracranial arterial stenosis. AJNR Am J Neuroradiol. 2000;21(4):643-646.
    [Google Scholar]
  17. , , , . Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profile in randomized controlled trials: Safe Implementation of Thrombolysis in Stroke-MOnitoring STudy (SITS-MOST) Stroke. Safe Implementation of Thrombolysis in Stroke-MOnitoring STudy Investigators. 2008;39(12):3316-3322.
    [Google Scholar]
  18. , , , . Increased risk for intracranial arterial stenosis in subjects with coronary artery calcification. Stroke. 2015;46(1):151-156.
    [Google Scholar]
  19. , , , , . Yield of transcranial Doppler in acute cerebral ischemia. Stroke. 1999;30(8):1604-1609.
    [Google Scholar]
  20. , , . Applications of transcranial Doppler in the ICU: a review. Intensive Care Med. 2006;32(7):981-994.
    [Google Scholar]
  21. , , , , , . Transcranial color Doppler sonography of basal cerebral arteries in 182 healthy subjects: age and sex variability and normal reference values for blood flow parameters. AJR. Am J Roentgenol. 1999;172(1):213-218.
    [Google Scholar]
  22. , , , . Periodic variations in transcranial Doppler mean velocities. J Neuroimaging. 1993;3(3):160-162.
    [Google Scholar]
  23. , , . Normal values.Transcranial Doppler Ultrasonography. Boston: Butterworth- Heinemann; . p. :33-46. In eds
    [Google Scholar]
  24. , , , . A validation study on the reproducibility of transcranial Doppler velocimetry. Ultrasound Med Biol. 1990;16(1):9-14.
    [Google Scholar]
  25. , , , . Noninvasive imaging is improving but digital subtraction angiography remains the gold standard. Neurology. 2007;68(24):2057-2058.
    [Google Scholar]
  26. , , , , , , . Silent embolism in diagnostic cerebral angiography and neurointerventional procedures: a prospective study. Lancet. 1999;354:1594-1597. 9190
    [Google Scholar]
  27. , , , , , . Symptomatic middle cerebral artery stenosis and occlusion: comparison of three-dimensional time-of-flight magnetic resonance angiography with conventional angiography. Neurol Med Chir (Tokyo). 1994;34(10):682-685.
    [Google Scholar]
  28. , , , , , . Middle cerebral artery stenosis: assessment by magnetic resonance angiography and transcranial Doppler ultrasound/magnetic resonance imaging correlates. Cerebrovasc Dis. 2004;17:287-295.
    [Google Scholar]
  29. , , , . Mechanisms of single and multiple borderzone infarct: transcranial Doppler ultrasound/ magnetic resonance imaging correlates. Cerebrovasc Dis. 2004;17(4):287-295.
    [Google Scholar]
  30. , , , , . Transcranial Doppler sonography and magnetic resonance angiography in the assessment of collateral hemispheric flow in patients with carotid artery disease. Stroke. 1995;26(2):214-217.
    [Google Scholar]
  31. , , , , . Role of transcranial Doppler ultrasonography in stroke. Postgrad Med J. 2007;83:683-689. 985
    [Google Scholar]
  32. , , , , . The accuracy of transcranial Doppler in the diagnosis of stenosis or occlusion of the terminal internal carotid artery. J Neuroimaging. 2004;14(4):314-318.
    [Google Scholar]
  33. , , , . The assessment value of transcranial Doppler sonography versus magnetic resonance angiography in vertebrobasilar stroke. J Res Med Sci. 2010;15(3):133-139.
    [Google Scholar]
  34. , , , , , . Detection of vertebrobasilar intracranial stenoses: transcranial Doppler sonography versus angiography. J Ultrasound Med. 1997;16(3):213-218.
    [Google Scholar]
  35. , , , . Cerebral microembolism in patients with retinal ischemia. Stroke. 1998;29(6):1139-1143.
    [Google Scholar]
  36. , , , , , . Transcrani-al Doppler ultrasonography in acute ischemic stroke predicts stroke subtype and clinical outcome: a study in Omani population. J Clin Monit Comput. 2011;25(2):121-128.
    [Google Scholar]
Show Sections