Literature DB >> 1590203

Assessment of carotid artery stenosis by MR angiography: comparison with x-ray angiography and color-coded Doppler ultrasound.

C M Anderson1, D Saloner, R E Lee, V J Griswold, L G Shapeero, J H Rapp, S Nagarkar, X Pan, G A Gooding.   

Abstract

PURPOSE: To compare magnetic resonance angiography (MRA) with duplex Doppler ultrasound (US) and x-ray angiography (XRA) in the evaluation of the carotid bifurcation.
METHODS: The carotid arteries of 61 patients were studied using MRA, US, or XRA; 31 of the patients underwent all three examinations. MRA included both 2D and 3D time-of-flight sequences. Internal and external carotid artery origins were graded normal, mild, moderate, severe, or critical stenosis, or complete occlusion by each of the three studies.
RESULTS: Spearman rank correlations of both internal and external carotid artery grades were 0.85 (MRA and XRA), 0.69 (MRA and US), and 0.73 (XRA and US). For internal carotid artery origins only, the correlations were 0.94 (MRA and XRA), 0.85 (MRA and US), and 0.82 (XRA and US). Of discrepancies in internal carotid artery interpretation greater than one grade, seven resulted from US error, three from MRA error, and one from XRA error. A 2-cm partially thrombosed aneurysm detected by US and MRA was missed by XRA. Of 16 possible ulcers on XRA, 11 were noted by MRA, none by US.
CONCLUSIONS: MRA and XRA are similar in assessment of carotid bifurcation stenosis. MRA, like US, permits direct visualization of plaque. This preliminary study suggests that MRA may be used to clarify equivocal findings of US, or replace XRA in presurgical planning.

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Mesh:

Year:  1992        PMID: 1590203      PMCID: PMC8331703     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  14 in total

Review 1.  Imaging of carotid artery disease: from luminology to function?

Authors:  J H Gillard
Journal:  Neuroradiology       Date:  2003-09-04       Impact factor: 2.804

2.  How should we estimate carotid stenosis using magnetic resonance angiography?

Authors:  R L Vanninen; H I Manninen; P K Partanen; H Tulla; P A Vainio
Journal:  Neuroradiology       Date:  1996-05       Impact factor: 2.804

3.  3D MR angiography with ramp-shaped flip-angle distribution.

Authors:  J Martos; T Nägele; U Klose; D Petersen; K Voigt
Journal:  Eur Radiol       Date:  1996       Impact factor: 5.315

4.  MR angiography in pediatric neurological disorders.

Authors:  B C Lee; T S Park; B A Kaufman
Journal:  Pediatr Radiol       Date:  1995

5.  Comparison of magnetic resonance angiography, duplex ultrasound, and digital subtraction angiography in assessment of extracranial internal carotid artery stenosis.

Authors:  G R Young; P R Humphrey; M D Shaw; T E Nixon; E T Smith
Journal:  J Neurol Neurosurg Psychiatry       Date:  1994-12       Impact factor: 10.154

6.  Familial occurrence of moyamoya disease. Magnetic resonance angiography as a screening test for high-risk subjects.

Authors:  K Houkin; N Tanaka; A Takahashi; H Kamiyama; H Abe; N Kajii
Journal:  Childs Nerv Syst       Date:  1994-09       Impact factor: 1.475

7.  Magnetic resonance angiography of supratentorial tumours: comparison with selective digital subtraction angiography.

Authors:  G Wilms; H Bosmans; G Marchal; P Demaerel; J Goffin; C Plets; A L Baert
Journal:  Neuroradiology       Date:  1995-01       Impact factor: 2.804

8.  Carotid magnetic resonance angiography: improved image quality with dual 3-inch surface coils.

Authors:  S H Faro; S Vinitski; H V Ortega; F B Mohamed; C Y Chen; A E Flanders; C F Gonzales; R A Zimmerman
Journal:  Neuroradiology       Date:  1996-07       Impact factor: 2.804

9.  Magnetic resonance angiography (MRA) of ruptured cerebral aneurysm.

Authors:  K Houkin; T Aoki; A Takahashi; H Abe; M Koiwa; T Kashiwaba
Journal:  Acta Neurochir (Wien)       Date:  1994       Impact factor: 2.216

Review 10.  Imaging blood vessels of the head and neck.

Authors:  R J Sellar
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-09       Impact factor: 10.154

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