Abstract

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.

Details

Title
Motion Correction of Dual Volume Reconstruction of Three‑dimensional Digital Subtraction Angiography for Follow‑up Evaluation of Intracranial Coiled Aneurysms
Author
Park, Byeong-Su 1 ; Shang, Shin 2 ; Woon-Jung Kwon 2 ; Kang, Byeong 2 ; Kwon, Soon 3 

 Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwando-ro, Dong-gu, Ulsan 
 Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwando-ro, Dong-gu, Ulsan 
 Department of Neurosurgery, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojin Sunhwando-ro, Dong-gu, Ulsan 
Pages
111-115
Publication year
2020
Publication date
Jan-Feb 2020
Publisher
Medknow Publications & Media Pvt. Ltd.
ISSN
00283886
e-ISSN
19984022
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2371210069
Copyright
© 2020. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.