Journal article
Carotid Stenosis: Utility of Diagnostic Angiography
World neurosurgery, v 121, pp e962-e966
Jan 2019
PMID: 30336298
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Carotid artery stenosis is frequently diagnosed through screening tests with noninvasive imaging. Because of differences noted between the various modalities, we sought to investigate our experience comparing noninvasive imaging (ultrasound, computed tomography angiography, magnetic resonance angiography) with invasive imaging (digital subtraction angiography).
In a multicenter retrospective analysis, 249 carotid vessels were reviewed based on angiography with the associated noninvasive imaging.
Overall, medical or surgical decision management was changed in 43% (107/243) of cases investigated with digital subtraction angiography owing to a discrepancy between the measured percentage stenosis. In patients with potentially treatable carotid stenosis, angiography revealed nonsignificant stenosis 25.7% of the time.
Angiography should be considered the confirmatory test for degree of stenosis in certain patients before definitive surgical treatment.
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Details
- Title
- Carotid Stenosis: Utility of Diagnostic Angiography
- Creators
- Daniel R. Felbaum - Neurosciences InstituteChristina Maxwell - Neurosciences InstituteStan Naydin - Neurosciences InstituteAndrew Ringer - Good Samaritan HospitalRicardo A. Hanel - Baptist Medical Center JacksonvilleEric Sauvageau - Baptist Medical Center JacksonvilleAmin Aghaebrahim - Baptist Medical Center JacksonvillePedro Aguilar-Salinas - The Neurological InstituteErol Veznedaroglu - Neurosciences InstituteKenneth Liebman - Neurosciences InstituteZakaria Hakma - Neurosciences InstituteHirad Hedayat - Neurosciences InstitutePeter Kan - Baylor College of MedicineVisish Srinivasan - Baylor College of MedicineMandy J. Binning - Neurosciences Institute
- Publication Details
- World neurosurgery, v 121, pp e962-e966
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurology; Neurosurgery
- Web of Science ID
- WOS:000452897000119
- Scopus ID
- 2-s2.0-85055979997
- Other Identifier
- 991021918004704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Surgery