1.Korean Wechsler Intelligence Scale for Children-Fourth Edition Profiles in Child and Adolescent with Attention-Deficit Hyperactivity Disorder : Retrospective Study.
Minkyung KOH ; Eun Ah NOH ; Hyo Won KIM
Journal of the Korean Academy of Child and Adolescent Psychiatry 2015;26(3):183-189
OBJECTIVES: The aim of this study was to investigate Korean Wechsler Intelligence profiles and specific abilities related to attention problem of children with attention-deficit hyperactivity disorder (ADHD). METHODS: The Korean Wechsler Intelligence Scale for Children-fourth edition (K-WISC-IV) and Advanced Test of Attention (ATA) were administered to 91 children and adolescents (age 8.5+/-2.6 years, 73 boys) with ADHD. Pearson correlation and independent t-tests were used. RESULTS: The means of Working Memory Index (WMI) and Processing Speed Index (PSI) showed a score of low average in K-WISC-IV. WMI scores for the K-WISC-IV showed clinically significant correlations with omission errors, commission errors, and response time variability on auditory ATA. PSI scores also showed significant correlations with response time and variability on visual ATA. In addition, significantly lower digit span backward scores were observed in hyperactive-impulsive/combined subtypes compared to inattentive subtype (t=3.60, p<.001). CONCLUSION: Children with ADHD showed significantly lower scores in WMI and PSI which were clinically correlated with ATA scores, and hyperactive-impulsive/combined subtypes showed poorer working memory functions in WMI. Follow-up studies are proposed.
Adolescent*
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Child*
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Follow-Up Studies
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Humans
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Intelligence*
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Memory, Short-Term
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Reaction Time
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Retrospective Studies*
2.Simulation Method for the Physical Deformation of a Three-Dimensional Soft Body in Augmented Reality-Based External Ventricular Drainage
Kyoyeong KOO ; Taeyong PARK ; Heeryeol JEONG ; Seungwoo KHANG ; Chin Su KOH ; Minkyung PARK ; Myung Ji KIM ; Hyun Ho JUNG ; Juneseuk SHIN ; Kyung Won KIM ; Jeongjin LEE
Healthcare Informatics Research 2023;29(3):218-227
Objectives:
Intraoperative navigation reduces the risk of major complications and increases the likelihood of optimal surgical outcomes. This paper presents an augmented reality (AR)-based simulation technique for ventriculostomy that visualizes brain deformations caused by the movements of a surgical instrument in a three-dimensional brain model. This is achieved by utilizing a position-based dynamics (PBD) physical deformation method on a preoperative brain image.
Methods:
An infrared camera-based AR surgical environment aligns the real-world space with a virtual space and tracks the surgical instruments. For a realistic representation and reduced simulation computation load, a hybrid geometric model is employed, which combines a high-resolution mesh model and a multiresolution tetrahedron model. Collision handling is executed when a collision between the brain and surgical instrument is detected. Constraints are used to preserve the properties of the soft body and ensure stable deformation.
Results:
The experiment was conducted once in a phantom environment and once in an actual surgical environment. The tasks of inserting the surgical instrument into the ventricle using only the navigation information presented through the smart glasses and verifying the drainage of cerebrospinal fluid were evaluated. These tasks were successfully completed, as indicated by the drainage, and the deformation simulation speed averaged 18.78 fps.
Conclusions
This experiment confirmed that the AR-based method for external ventricular drain surgery was beneficial to clinicians.
3.Five-Year Community Management Rate for Dementia Patients: A Proposed Indicator for Dementia Policies
Hyuk Sung KWON ; Jeewon SUH ; Mi-hee KIM ; Boyoung YOO ; Minkyung HAN ; Im-Seok KOH ; Hojin CHOI
Journal of Clinical Neurology 2022;18(1):24-32
Background:
and Purpose There is no specific indicator for monitoring dementia management. We propose an auxiliary indicator called the community management rate, defined as the proportion of dementia patients who receive informal care from close caregivers or themselves within their community population. The 5-year community management rate is the percentage of dementia patients who are receiving community management at 5 years after they were diagnosed. The aim of this study was to identify how the community management rate has changed over time and how the 5-year community management rate differs according to age, sex, income, residence area, and comorbidities.
Methods:
We analyzed customized research database of the Korean National Health Insurance Services from 2003 to 2018. The 5-year community management rate was calculated annually with newly diagnosed dementia patients, and compared among subgroups according to age, sex, income, residence area, and comorbidities.
Results:
This study analyzed 549,297 patients. Among those newly diagnosed with dementia in 2003, the mean duration of community management during the 15-year follow-up was 5.98 years. The community management rate decreased rapidly from 2003 to 2006, after which it increased. A low 5-year community management rate was associated with older age, higher comorbidity burden, nonmetropolitan residence, and low income.
Conclusions
The community management rate seems to reflect diverse patient factors. Efforts are needed to reduce the comorbidity burden and differences in the 5-year community management rate according to residence area and income. This study indicates the need for further investigations into the use of this indicator to monitor the management of dementia patients.