Literature DB >> 21150058

3D rotational angiography with volume rendering: the utility in the detection of intracranial aneurysms.

Wan-Yin Shi1, Yong-Dong Li, Ming-Hua Li, Bin-Xian Gu, Shi-Wen Chen, Wu Wang, Bei-Lei Zhang, Min Li.   

Abstract

AIMS: The advent of three-dimensional (3D) rotational angiography (3D DSA) challenged the role of digital subtraction angiography (DSA) as a "gold standard" in the diagnosis of intracranial aneurysms. In this study, we report our experiences in diagnosing intracranial aneurysms by using 3D DSA with volume rendering (VR) technique, particularly focusing on its role in depicting additional aneurysms missed by 2D DSA.
MATERIALS AND METHODS: One hundred and thirty-eight consecutive patients with known or suspected aneurysms (54 men, 84 women; median age, 55 years; age range, 18-83 years) underwent both conventional DSA and 3D DSA with VR examination simultaneously. The images of 2D DSA or 3D DSA with VR were evaluated by two observers independently for the presence of aneurysms. Then additional aneurysms were decided and depicted.
RESULTS: 3D DSA with VR showed 146 aneurysms in 123 (89.1%) of 138 patients and no aneurysms in 15 patients. 2D DSA showed 115 aneurysms in 110 of 137 patients, with one aneurysm in 106 patients each, 2 in 3 patients each and 3 in 1 patient. After reaching a consensus, there were 31 additional aneurysms detected by 3D DSA with VR. 30 aneurysms were <3 mm in maximum diameter with 3 aneurysms ruptured. These additional aneurysms were located in internal carotid artery (ICA, n = 28, 90.32%), anterior cerebral artery (ACA, n = 3, 9.68%). No additional aneurysms were found in either middle cerebral artery (MCA) or vertebrobasilar and posterior cerebral artery (PCA) systems.
CONCLUSIONS: 3D DSA, especially VR images, not only clearly reveals aneurysms and aneurysmal morphology, but also detects additional aneurysms missed by 2D DSA, especially small aneurysms less than 3 mm.

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Year:  2010        PMID: 21150058     DOI: 10.4103/0028-3886.73743

Source DB:  PubMed          Journal:  Neurol India        ISSN: 0028-3886            Impact factor:   2.117


  8 in total

Review 1.  MRA versus DSA for follow-up of coiled intracranial aneurysms: a meta-analysis.

Authors:  M J van Amerongen; H D Boogaarts; J de Vries; A L M Verbeek; F J A Meijer; M Prokop; R H M A Bartels
Journal:  AJNR Am J Neuroradiol       Date:  2013-09-05       Impact factor: 3.825

2.  Application of low injection rate and low contrast agent dose in three-dimensional rotational digital subtraction angiography of the intracranial aneurysm.

Authors:  Zhimei Gao; Yongming Zeng; Jingkun Sun; Jingjie Yang; Yang Zhou; Mi Zhou; Tingni Song
Journal:  Interv Neuroradiol       Date:  2016-02-24       Impact factor: 1.610

3.  CT reconstruction and MRI fusion of 3D rotational angiography in the evaluation of pediatric cerebrovascular lesions.

Authors:  Prakash Muthusami; Nicholas Shkumat; Vanessa Rea; Albert H Chiu; Manohar Shroff
Journal:  Neuroradiology       Date:  2017-03-27       Impact factor: 2.804

Review 4.  How Can New Imaging Modalities Help in the Practice of Radiology?

Authors:  Berhan Pirimoglu; Recep Sade; Hayri Ogul; Mecit Kantarci; Suat Eren; Akın Levent
Journal:  Eurasian J Med       Date:  2016-10

5.  Morphologic Change of Flow-Related Aneurysms in Brain Arteriovenous Malformations after Stereotactic Radiosurgery.

Authors:  Y-S Tsuei; C-B Luo; L-Y Fay; H-C Yang; W-Y Guo; H-M Wu; W-Y Chung; M M H Teng
Journal:  AJNR Am J Neuroradiol       Date:  2019-04       Impact factor: 3.825

6.  Reliability of dual- vs single-volume reconstruction of three-dimensional digital subtraction angiography for follow-up evaluation of endovascularly treated intracranial aneurysms.

Authors:  Nimer Adeeb; Christoph J Griessenauer; Apar S Patel; Justin Moore; Parviz Dolati-Ardejani; Raghav Gupta; Rouzbeh Motiei-Langroudi; Christopher S Ogilvy; Ajith J Thomas
Journal:  Interv Neuroradiol       Date:  2016-08-16       Impact factor: 1.610

7.  A comparison of 4D time-resolved MRA with keyhole and 3D time-of-flight MRA at 3.0 T for the evaluation of cerebral aneurysms.

Authors:  Qian Wu; Ming-Hua Li
Journal:  BMC Neurol       Date:  2012-07-06       Impact factor: 2.474

8.  Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.

Authors:  Allison Park; Chris Chute; Pranav Rajpurkar; Joe Lou; Robyn L Ball; Katie Shpanskaya; Rashad Jabarkheel; Lily H Kim; Emily McKenna; Joe Tseng; Jason Ni; Fidaa Wishah; Fred Wittber; David S Hong; Thomas J Wilson; Safwan Halabi; Sanjay Basu; Bhavik N Patel; Matthew P Lungren; Andrew Y Ng; Kristen W Yeom
Journal:  JAMA Netw Open       Date:  2019-06-05
  8 in total

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