1.Assessment of Arterial Wall Enhancement for Differentiation of Parent Artery Disease from Small Artery Disease: Comparison between Histogram Analysis and Visual Analysis on 3-Dimensional Contrast-Enhanced T1-Weighted Turbo Spin Echo MR Images at 3T.
Jinhee JANG ; Tae Won KIM ; Eo Jin HWANG ; Hyun Seok CHOI ; Jaseong KOO ; Yong Sam SHIN ; So Lyung JUNG ; Kook Jin AHN ; Bum Soo KIM
Korean Journal of Radiology 2017;18(2):383-391
OBJECTIVE: The purpose of this study was to compare the histogram analysis and visual scores in 3T MRI assessment of middle cerebral arterial wall enhancement in patients with acute stroke, for the differentiation of parent artery disease (PAD) from small artery disease (SAD). MATERIALS AND METHODS: Among the 82 consecutive patients in a tertiary hospital for one year, 25 patients with acute infarcts in middle cerebral artery (MCA) territory were included in this study including 15 patients with PAD and 10 patients with SAD. Three-dimensional contrast-enhanced T1-weighted turbo spin echo MR images with black-blood preparation at 3T were analyzed both qualitatively and quantitatively. The degree of MCA stenosis, and visual and histogram assessments on MCA wall enhancement were evaluated. A statistical analysis was performed to compare diagnostic accuracy between qualitative and quantitative metrics. RESULTS: The degree of stenosis, visual enhancement score, geometric mean (GM), and the 90th percentile (90P) value from the histogram analysis were significantly higher in PAD than in SAD (p = 0.006 for stenosis, < 0.001 for others). The receiver operating characteristic curve area of GM and 90P were 1 (95% confidence interval [CI], 0.86–1.00). CONCLUSION: A histogram analysis of a relevant arterial wall enhancement allows differentiation between PAD and SAD in patients with acute stroke within the MCA territory.
Arteries*
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Constriction, Pathologic
;
Humans
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Magnetic Resonance Imaging
;
Middle Cerebral Artery
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Parents*
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ROC Curve
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Stroke
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Tertiary Care Centers
2.A Giant Colonic Hamartoma and Multiple Colonic Hamartomatous Polyps in a Middle-Aged Man.
In Ja PARK ; Hee Cheol KIM ; Chang Sik YU ; Hyun Lyung KOO ; Jung Sun KIM ; Jin Cheon KIM
Yonsei Medical Journal 2006;47(5):755-758
Colonic hamartomas are rare polypoid lesions. We report an unusual case of multiple colonic hamartomatous polyps, including a giant hamartoma, unrelated to hereditary or familial polyposis syndromes, in a 48-year-old man. The diameter of the largest polyp was 9.5 cm, and endoscopy revealed that the lesion caused colonic obstruction. The clinical, endoscopic and histological aspects of this case are discussed.
Middle Aged
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Male
;
Intestinal Obstruction/*pathology/surgery
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Humans
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Hamartoma/*pathology/surgery
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Colonoscopy
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Colonic Polyps/*pathology/surgery
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Colonic Diseases/*pathology/surgery
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Colectomy
3.The Added Prognostic Value of Intracranial Artery Morphology to Predict Non-Cardioembolic Ischemic Stroke
Na Hye HAN ; Jinhee JANG ; Hokyun BYUN ; Kijeong LEE ; Jaseong KOO ; Hyun Seok CHOI ; So Lyung JUNG ; Kook Jin AHN ; Bum Soo KIM
Journal of the Korean Radiological Society 2018;78(4):249-258
PURPOSE:
To assess the added prognostic value of the morphologic characteristics of intracranial arteries in the risk modeling of a future non-cardioembolic stroke.
MATERIALS AND METHODS:
This retrospective study included 86 patients without acute ischemic stroke who first underwent magnetic resonance imaging (MRI) including the time-of-flight magnetic resonance angiography (TOF-MRA) at 3T. Diffusion-weighted imaging (DWI) was performed for the follow-up imaging of these patients > 120 days after the initial MRI. The TOF-MRA result was used to analyze three morphological characteristics: dilatation, stenosis, and tortuosity. The presence of acute ischemic stroke was assessed using the follow-up DWI data. We built two prognostic models: model 1 includes the conventional stroke-risk factors, while model 2 includes the conventional risk factors and the morphologic characteristics of the intracranial arteries. We used the likelihood-ratio test to compare these two models. The models' performances were evaluated using Harrell's concordance index.
RESULTS:
Fourteen patients suffered non-cardioembolic strokes. The performances of the two models differed significantly regarding the future-risk modeling of the non-cardioembolic stroke (p = 0.031). The Harrell's concordance index of model 2 (0.78 ± 0.05) exceeded that of model 1 (0.72 ± 0.07).
CONCLUSION
In addition to the conventional stroke-risk factors, the morphologic characteristics of the intracranial arteries were useful in the modeling of the future risk of the non-cardioembolic ischemic stroke.