Whole-brain CT digital subtraction angiography of cerebral dural arteriovenous fistula using 320-detector row CT

Hirokazu Fujiwara; Suketaka Momoshima; Takenori Akiyama; Sachio Kuribayashi

doi:10.1007/s00234-013-1181-6

Whole-brain CT digital subtraction angiography of cerebral dural arteriovenous fistula using 320-detector row CT

Hirokazu Fujiwara, Suketaka Momoshima, Takenori Akiyama, Sachio Kuribayashi

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

Introduction: The purpose of this study was to evaluate the usefulness of CT digital subtraction angiography (CTDSA) by using 320-detector row CT in the diagnosis and classification of cerebral dural arteriovenous fistula (dAVF) and comparing it with DSA as the standard reference. Methods: A total of 29 CTDSA/DSA from 25 patients with dAVF were retrospectively evaluated by two neuroradiologists. The presence, Cognard classification, and feeding arteries of dAVFs on CTDSA were assessed according to DSA. Results: DSA depicted 33 dAVFs in 28 cases. By consensus reading, CTDSA correctly detected 32 dAVFs in 27 cases and properly graded 31 lesions. The intermodality agreement for the presence and classification of dAVFs was excellent (kappa = 0.955 and 0.921, respectively). CTDSA detected 77 of 109 feeding arteries (70.6 %) in 25 cases. The intermodality agreement for the feeding arteries was good (kappa = 0.713). Conclusion: Although CTDSA is limited in temporal and spatial resolution in comparison with DSA, it is an effective non-invasive tool for the detection and classification of dAVF.

Original language	English
Pages (from-to)	837-843
Number of pages	7
Journal	Neuroradiology
Volume	55
Issue number	7
DOIs	https://doi.org/10.1007/s00234-013-1181-6
Publication status	Published - 2013 Jul

Keywords

320-detector row CT
4D-CTA
Dural AVF
Whole-brain CTDSA

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Clinical Neurology
Cardiology and Cardiovascular Medicine

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title = "Whole-brain CT digital subtraction angiography of cerebral dural arteriovenous fistula using 320-detector row CT",

abstract = "Introduction: The purpose of this study was to evaluate the usefulness of CT digital subtraction angiography (CTDSA) by using 320-detector row CT in the diagnosis and classification of cerebral dural arteriovenous fistula (dAVF) and comparing it with DSA as the standard reference. Methods: A total of 29 CTDSA/DSA from 25 patients with dAVF were retrospectively evaluated by two neuroradiologists. The presence, Cognard classification, and feeding arteries of dAVFs on CTDSA were assessed according to DSA. Results: DSA depicted 33 dAVFs in 28 cases. By consensus reading, CTDSA correctly detected 32 dAVFs in 27 cases and properly graded 31 lesions. The intermodality agreement for the presence and classification of dAVFs was excellent (kappa = 0.955 and 0.921, respectively). CTDSA detected 77 of 109 feeding arteries (70.6 %) in 25 cases. The intermodality agreement for the feeding arteries was good (kappa = 0.713). Conclusion: Although CTDSA is limited in temporal and spatial resolution in comparison with DSA, it is an effective non-invasive tool for the detection and classification of dAVF.",

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author = "Hirokazu Fujiwara and Suketaka Momoshima and Takenori Akiyama and Sachio Kuribayashi",

year = "2013",

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language = "English",

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AU - Akiyama, Takenori

AU - Kuribayashi, Sachio

PY - 2013/7

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AB - Introduction: The purpose of this study was to evaluate the usefulness of CT digital subtraction angiography (CTDSA) by using 320-detector row CT in the diagnosis and classification of cerebral dural arteriovenous fistula (dAVF) and comparing it with DSA as the standard reference. Methods: A total of 29 CTDSA/DSA from 25 patients with dAVF were retrospectively evaluated by two neuroradiologists. The presence, Cognard classification, and feeding arteries of dAVFs on CTDSA were assessed according to DSA. Results: DSA depicted 33 dAVFs in 28 cases. By consensus reading, CTDSA correctly detected 32 dAVFs in 27 cases and properly graded 31 lesions. The intermodality agreement for the presence and classification of dAVFs was excellent (kappa = 0.955 and 0.921, respectively). CTDSA detected 77 of 109 feeding arteries (70.6 %) in 25 cases. The intermodality agreement for the feeding arteries was good (kappa = 0.713). Conclusion: Although CTDSA is limited in temporal and spatial resolution in comparison with DSA, it is an effective non-invasive tool for the detection and classification of dAVF.

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KW - Whole-brain CTDSA

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Whole-brain CT digital subtraction angiography of cerebral dural arteriovenous fistula using 320-detector row CT

Abstract

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