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Sang Joon Kim

Researcher at University of Ulsan

Publications -  155
Citations -  4206

Sang Joon Kim is an academic researcher from University of Ulsan. The author has contributed to research in topics: Magnetic resonance imaging & Stroke. The author has an hindex of 33, co-authored 151 publications receiving 3381 citations. Previous affiliations of Sang Joon Kim include Asan Medical Center & Dankook University.

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Diagnostic Accuracy of CT and Ultrasonography for Evaluating Metastatic Cervical Lymph Nodes in Patients with Thyroid Cancer

TL;DR: Despite of very high accuracy of USG by per patient analysis, the superior sensitivity of CT on the per level analysis may enable CT to play a complementary role for determining the surgical extent in selected patients with thyroid cancer.
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New Concept in Cavernous Sinus Dural Arteriovenous Fistula Correlation With Presenting Symptom and Venous Drainage Patterns

TL;DR: The aim of this study is to define angiographic types of CSDAVF associated with presenting symptom (Sx) and venous drainage patterns and to reveal chronological progression of CSdaVF from PT to LRT and even to complete healing.
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Intracranial Stenting of Severe Symptomatic Intracranial Stenosis: Results of 100 Consecutive Patients

TL;DR: BEICS revealed a low AE and good outcome rate at 6 months, especially in the stable patients, and midterm outcome was also favorable in the unstable patient group.
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Pseudoprogression in patients with glioblastoma: added value of arterial spin labeling to dynamic susceptibility contrast perfusion MR imaging.

TL;DR: ASL improves the diagnostic accuracy of DSC perfusion MRI in differentiating pseudoprogression from early tumor progression, and adjunctive ASL produced eight (12.9%) more accurate results than DSCperfusion MRI alone.
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Safety and efficacy of MRI-based thrombolysis in unclear-onset stroke. A preliminary report.

TL;DR: Preliminary results suggest that thrombolysis based on MRI criteria may safely be applied to acute stroke patients with unclear onset, and this may be able to identify those with a favorable benefit-risk ratio for thrombectomy.