5 Works

Data from: Statin therapy in acute cardioembolic stroke with no guidance-based indication

Hong-Kyun Park, Ji Sung Lee, Keun-Sik Hong, Yong-Jin Cho, Jong-Moo Park, Kyusik Kang, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Hyun-Wook Nah Nah, Moon-Ku Han, Beom Joon Kim, Tai Hwan Park, Sang-Soon Park, Kyung Bok Lee, Jun Lee, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Joon-Tae Kim, Kang-Ho Choi, Dong-Eog Kim, Wi-Sun Ryu, Jay Chol Choi … & Hee-Joon Bae
Objective It is uncertain if patients with cardioembolic stroke and absence of a guidance-based indication for statin therapy should be administered a statin for prevention of subsequent vascular events. This study was performed to determine whether the statin therapy is beneficial to prevent major vascular events in this population. Methods Using a prospective multicenter stroke registry database, we identified acute cardioembolic stroke patients who were hospitalized between 2008 and 2015. Patients who had other established...

Data from: Three-month modified Rankin Scale as a determinant of five-year cumulative costs after ischemic stroke: an analysis of 11,136 patients in Korea

Seong-Eun Kim, Heeyoung Lee, Jun Yup Kim, Keon-Joo Lee, Jihoon Kang, Beom Joon Kim, Moon-Ku Han, Kang-Ho Choi, Joon-Tae Kim, Dong-Ick Shin, Min-Ju Yeo, Jae-Kwan Cha, Dae-Hyun Kim, Hyun-Wook Nah, Dong-Eog Kim, Wi-Sun Ryu, Jong-Moo Park, Kyusik Kang, Jae Guk Kim, Soo Joo Lee, Mi-Sun Oh, Kyung-Ho Yu, Byung-Chul Lee, Hong-Kyun Park, Keun-Sik Hong … & Hee-Joon Bae
Objective: Stroke is a devastating and costly disease; however, there is a paucity of information on long-term costs and on how they differ according to 3-month modified Rankin scale (mRS), which is a primary outcome variable in acute stroke intervention trials. Methods: We analyzed a prospective multicenter stroke registry (Clinical Research Collaboration for Stroke in Korea) database through linkage with claims data from the National Health Insurance Service with follow up to December 2016. Healthcare...

Data from: Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

Lohendran Baskaran, Subhi J. Al’Aref, Gabriel Maliakal, Benjamin C. Lee, Zhuoran Xu, Jeong W. Choi, Sang-Eun Lee, Ji Min Sung, Fay Y. Lin, Simon Dunham, Bobak Mosadegh, Yong-Jin Kim, Ilan Gottlieb, Byoung Kwon Lee, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Sanghoon Shin, Jung Hyun Choi, Kavitha Chinnaiyan, Martin Hadamitzky, Edoardo Conte, Daniele Andreini, Gianluca Pontone … & Leslee J. Shaw
Objectives: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. Background: Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. Methods: Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA),...

Clinical reasoning: sudden hearing loss with vertigo in a 42-year-old woman

Jeong-Yoon Choi, Hyo-Jung Kim & Ji-Soo Kim
Supplemental table: Etiologies of sudden sensorineural hearing loss with or without vertigo

Idiopathic normal pressure hydrocephalus with synucleinopathy: diagnosis and treatment

Young Ho Park, Sang-Won Han, Nayoung Ryoo, Kitae Kim, Jung-Min Pyun & SangYun Kim
Pearls - Idiopathic normal pressure hydrocephalus (iNPH) is characterized by the classic triad of gait disturbance, urinary incontinence, and cognitive impairment in the presence of ventriculomegaly without known risk factors for communicating hydrocephalus. Shunt surgery is indicated for iNPH patients who respond to the removal of CSF. Oy-sters - The striatal dopaminergic deficit on dopamine transporter (DAT) scan is not uncommon in patients with iNPH, which might be related to an unfavorable long-term outcome of...

Registration Year

  • 2020
    5

Resource Types

  • Dataset
    5

Affiliations

  • Seoul National University Bundang Hospital
    5
  • Seoul Medical Center
    2
  • Chonnam National University Hospital
    2
  • Dongguk University Ilsan Hospital
    2
  • Inje University Ilsan Paik Hospital
    2
  • Keimyung University Dongsan Medical Center
    2
  • Asan Medical Center
    2
  • Ulsan University Hospital
    2
  • Hallym University Sacred Heart Hospital
    2
  • Chungbuk National University Hospital
    2