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 ORIGINAL ARTICLE
Year : 2020  |  Volume : 68  |  Issue : 1  |  Page : 111--115

Motion Correction of Dual Volume Reconstruction of Three‑dimensional Digital Subtraction Angiography for Follow‑up Evaluation of Intracranial Coiled Aneurysms


1 Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwando-ro, Dong-gu, Ulsan, Republic of Korea
2 Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwando-ro, Dong-gu, Ulsan, Republic of Korea
3 Department of Neurosurgery, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwando-ro, Dong-gu, Ulsan, Republic of Korea

Correspondence Address:
Prof. Shang Hun Shin
877 Bangeojin Sunhwando-ro, Dong-gu, Ulsan, 44033
Republic of Korea
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0028-3886.279652

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Purpose: To evaluate the usefulness of the “Motion Correction” function of the dual volume-3D-volume-rendering technique (DV-3D-VRT) in follow-up digital subtraction angiography (DSA) of intracranial coiled aneurysms. Materials and Methods: This study used data collected from consecutive, follow-up DSAs after the coiling of 64 intracranial aneurysms in 59 patients. We performed subtracted 3D-rotational angiographies (3D-RAs) on all DSAs and obtained DV-3D-VRT images. We then assessed recurrence using DV-3D-VRT images with and without the motion correction functions (MC(+) vs. MC(-)) and observed which method showed better agreement with the reference assessment (using a combination of 2D DSA and TOF MRA images). Results: The recurrence of MC(-) DV-3D-VRT images showed 51.6% (33/64) agreement with the reference assessment, whereas the MC(+) DV-3D-VRT images showed 78.1% (50/64) (P = 0.035, McNemar test). Conclusion: Motion correction is a useful complementary imaging technique in evaluating aneurysm recurrence after endovascular embolization. MC(+) DV-3D-VRT image showed higher inter-observer agreement than MC(-) DV-3D-VRT.






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