Literature DB >> 7847648

Noninvasive carotid artery testing. A meta-analytic review.

D D Blakeley1, E Z Oddone, V Hasselblad, D L Simel, D B Matchar.   

Abstract

PURPOSE: To compare the operating characteristics of six noninvasive tests for carotid artery stenosis. DATA SOURCES: A structured search was done using MEDLINE, reference lists from selected articles, and bibliographies from neurology textbooks that focused on the diagnosis of carotid artery stenosis in humans. The search yielded 568 articles. STUDY SELECTION: Articles were selected if the noninvasive test results they presented used carotid angiography as the reference standard for comparison, if carotid artery occlusion was considered as a separate category, and if contingency tables could be constructed. DATA EXTRACTION: At least two physicians reviewed all selected articles. Items abstracted included patient demographics, study design, sites of patient enrollment, whether the interpretation of test outcomes was blinded, and specific results. Sensitivity, specificity, receiver operating characteristic (ROC) curves, and summary measures of effectiveness for each test were calculated.
RESULTS: Carotid duplex ultrasonography, carotid Doppler ultrasonography, and magnetic resonance angiography have sensitivities between 0.82 and 0.86, specificities at 0.98, and test-effectiveness measures at or exceeding 3.0 when predicting 100% occlusion. For carotid stenosis of 70% or more, these three tests and supraorbital Doppler ultrasonography all have sensitivities of 0.83 to 0.86, specificities of 0.89 to 0.94, test-effectiveness measures approaching 3.0, and composite ROC areas of 0.91 to 0.92. Limiting analysis to studies that enrolled consecutive patients and those in which interpretation of the noninvasive tests was independent of the angiograms did not substantially change our results.
CONCLUSIONS: Carotid duplex ultrasonography, carotid Doppler ultrasonography, and magnetic resonance angiography are all similarly successful at predicting 100% carotid artery occlusion and 70% stenosis. Other factors, such as cost, availability, and local experience may influence the decision to use these tests to screen for carotid artery atherosclerosis that may respond to surgery.

Entities:  

Mesh:

Year:  1995        PMID: 7847648     DOI: 10.7326/0003-4819-122-5-199503010-00007

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  23 in total

1.  How does the degree of carotid stenosis affect the accuracy and interobserver variability of magnetic resonance angiography?

Authors:  J M Wardlaw; S C Lewis; P Humphrey; G Young; D Collie; C P Warlow
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-08       Impact factor: 10.154

2.  Measurement error of percent diameter carotid stenosis determined by conventional angiography: implications for noninvasive evaluation.

Authors:  Joseph E Heiserman
Journal:  AJNR Am J Neuroradiol       Date:  2005-09       Impact factor: 3.825

3.  A benchmark driven guide to binding site comparison: An exhaustive evaluation using tailor-made data sets (ProSPECCTs).

Authors:  Christiane Ehrt; Tobias Brinkjost; Oliver Koch
Journal:  PLoS Comput Biol       Date:  2018-11-08       Impact factor: 4.475

4.  Cerebral hypoperfusion secondary to radiation arteritis presenting with recurrent syncope.

Authors:  Khalid Bashar; Seamus McHugh; Paul Burke; Eamon Kavanagh
Journal:  BMJ Case Rep       Date:  2014-06-23

5.  Non-invasive carotid imaging.

Authors:  G R Young; P R Humphrey; T E Nixon; E T Smith
Journal:  J Neurol Neurosurg Psychiatry       Date:  1996-04       Impact factor: 10.154

6.  Combining decision support methodologies to diagnose pneumonia.

Authors:  D Aronsky; M Fiszman; W W Chapman; P J Haug
Journal:  Proc AMIA Symp       Date:  2001

7.  Investigating individual subjects and screening populations for asymptomatic carotid stenosis can be harmful.

Authors:  C J Whitty; C L Sudlow; C P Warlow
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-05       Impact factor: 10.154

Review 8.  Management of extracranial carotid artery disease.

Authors:  Yinn Cher Ooi; Nestor R Gonzalez
Journal:  Cardiol Clin       Date:  2015-02       Impact factor: 2.213

9.  Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs.

Authors:  Hussain A Isma'eel; Paul C Cremer; Shaden Khalaf; Mohamad M Almedawar; Imad H Elhajj; George E Sakr; Wael A Jaber
Journal:  Int J Cardiovasc Imaging       Date:  2015-12-01       Impact factor: 2.357

10.  Imaging recommendations for acute stroke and transient ischemic attack patients: A joint statement by the American Society of Neuroradiology, the American College of Radiology, and the Society of NeuroInterventional Surgery.

Authors:  M Wintermark; P C Sanelli; G W Albers; J Bello; C Derdeyn; S W Hetts; M H Johnson; C Kidwell; M H Lev; D S Liebeskind; H Rowley; P W Schaefer; J L Sunshine; G Zaharchuk; C C Meltzer
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-01       Impact factor: 3.825

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