Literature DB >> 7631921

Detection of total occlusion, string sign, and preocclusive stenosis of the internal carotid artery by color-flow duplex scanning.

M A Mansour1, M A Mattos, D B Hood, K J Hodgson, L D Barkmeier, D E Ramsey, D S Sumner.   

Abstract

BACKGROUND: Stroke prevention depends on the accurate differentiation of surgically treatable preocclusive lesions from total occlusions of the internal carotid artery. This prospective study was undertaken to review the accuracy of colorflow duplex scanning for identifying carotid string signs, focal preocclusive lesions (95% to 99% stenoses), and total occlusion of the internal carotid artery.
MATERIALS AND METHODS: Over an 18-month period, 4,362 patients underwent color-flow duplex scanning of the carotid arteries. Angiograms of 596 internal carotid arteries were available for comparison with the duplex scan findings. Total occlusion was diagnosed by the absence of flow in internal carotid arteries visualized on B-mode scanning. Preocclusive lesions were identified by a trickle of flow in the vessel lumen.
RESULTS: Of 65 color-flow duplex scans that predicted total occlusion, 64 (98%) were confirmed by angiography. The negative predictive value for total occlusion was 99%. Twenty-six (87%) of 30 string signs and focal 95% to 99% stenoses were correctly identified. Color-flow scanning prediction of preocclusive lesions was accurate in 84% of 31 cases. Low velocities in the internal carotid artery were usually associated with a string sign, and high velocities with a focal preocclusive lesion.
CONCLUSIONS: Color-flow duplex scanning accurately differentiates between stenotic and totally occluded internal carotid arteries. Identification of preocclusive lesions is not as accurate but the results are promising. Arteriographic confirmation of duplex scan findings is necessary only when scans are equivocal.

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Year:  1995        PMID: 7631921     DOI: 10.1016/s0002-9610(99)80276-1

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  7 in total

Review 1.  Carotid Near-Occlusion: A Comprehensive Review, Part 1--Definition, Terminology, and Diagnosis.

Authors:  E Johansson; A J Fox
Journal:  AJNR Am J Neuroradiol       Date:  2015-08-27       Impact factor: 3.825

Review 2.  Carotid Near-Occlusion: A Comprehensive Review, Part 2--Prognosis and Treatment, Pathophysiology, Confusions, and Areas for Improvement.

Authors:  E Johansson; A J Fox
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-03       Impact factor: 3.825

3.  Carotid near-occlusion frequently has high peak systolic velocity on Doppler ultrasound.

Authors:  Simon R Khangure; Hadas Benhabib; Matylda Machnowska; Allan J Fox; Christer Grönlund; Wendy Herod; Robert Maggisano; Anders Sjöberg; Per Wester; Seyed-Parsa Hojjat; Julia Hopyan; Richard I Aviv; Elias Johansson
Journal:  Neuroradiology       Date:  2017-11-25       Impact factor: 2.804

Review 4.  Duplex ultrasound for diagnosing symptomatic carotid stenosis in the extracranial segments.

Authors:  Nicolle Cassola; Jose Cc Baptista-Silva; Luis Cu Nakano; Carolina Dq Flumignan; Ricardo Sesso; Vladimir Vasconcelos; Nelson Carvas Junior; Ronald Lg Flumignan
Journal:  Cochrane Database Syst Rev       Date:  2022-07-11

5.  Quality of extracranial carotid evaluation with 256-section CT.

Authors:  J M Johnson; M S Reed; H N Burbank; C G Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2013-03-07       Impact factor: 3.825

6.  Can contrast-enhanced ultrasound with second-generation contrast agents replace computed tomography angiography for distinguishing between occlusion and pseudo-occlusion of the internal carotid artery?

Authors:  Carlos Augusto Pinto Ventura; Erasmo Simão da Silva; Giovanni Guido Cerri; Pedro Puech Leão; Adriano Tachibana; Maria Cristina Chammas
Journal:  Clinics (Sao Paulo)       Date:  2015-01       Impact factor: 2.365

7.  Comparison of digital subtraction angiography and contrast-enhanced ultrasound in assessment of carotid stenosis.

Authors:  Ronggui Liu; Zhimei Yan; Guijun Zhang; Zhaoyan Ding; Yunping Li; Zhirong Jiang
Journal:  Afr Health Sci       Date:  2020-03       Impact factor: 0.927

  7 in total

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