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Abstract
We investigated the clinical and radiologic predictors of unruptured symptomatic intracranial artery dissection (IAD) outcomes. Unruptured symptomatic IAD patients who underwent vessel wall magnetic resonance imaging (VW-MRI) and time-of-flight magnetic resonance angiography (TOF-MRA) within 1 month after symptom onset, followed for over 12 months were included. Baseline features predicting the clinical outcome of recurrent symptoms and radiologic outcomes of aneurysmal dilatation and occlusion were analyzed using logistic regression analysis. The Kaplan–Meier method calculated the median time to morphological stability. Patients with aneurysmal dilatation were categorized into progressive and non-progressive enlargement subgroups. Seventy-three IADs from 65 patients were included. All patients showed benign clinical course (mRS 0–1). No baseline features were predictive of recurrent symptoms. Aneurysmal dilatation was associated with increased outer diameter in baseline VW-MRI (OR, 23.15; 95% CI, 3.78–141.75, P < 0.001) and TOF-MRA (OR, 10.81; 95% CI, 2.16–53.99, P = 0.004). Occlusion was inversely associated with preserved patency in baseline VW-MRI (OR, 0.1; 95% CI, 0.01–0.74, P = 0.024) and TOF-MRA (OR, 0.14; 95% CI, 0.02–0.98; P = 0.048). The median time to morphological stability was 3.9 months (95% CI, 3.16–5.5). While baseline features did not significantly differ between aneurysmal dilatation subgroups, follow-up imaging revealed significant differences in remodeling index, normalized wall index, relative signal intensity of intramural hematoma, and presence of onion-skin appearance and intramural hematoma (all P < 0.05). Our findings suggest that while unruptured IAD presents a benign clinical outcome, follow-up imaging may be necessary to monitor the progressive enlargement of aneurysmal dilatation.
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1 University of Ulsan College of Medicine, Asan Medical Center, Department of Radiology and Research Institute of Radiology, Seoul, Republic of Korea (GRID:grid.413967.e) (ISNI:0000 0001 0842 2126); Sungkyunkwan University School of Medicine, Department of RadiologySamsung Medical Center, Seoul, Republic of Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)
2 University of Ulsan College of Medicine, Asan Medical Center, Department of Radiology and Research Institute of Radiology, Seoul, Republic of Korea (GRID:grid.413967.e) (ISNI:0000 0001 0842 2126)
3 University of Ulsan College of Medicine, Asan Medical Center, Department of Radiology and Research Institute of Radiology, Seoul, Republic of Korea (GRID:grid.413967.e) (ISNI:0000 0001 0842 2126); Yonsei University College of Medicine, Department of Radiology, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454)
4 University of Ulsan College of Medicine, Asan Medical Center, Department of Clinical Epidemiology and Biostatistics, Seoul, Republic of Korea (GRID:grid.413967.e) (ISNI:0000 0001 0842 2126)