OBJECTIVE: To evaluate the standards of handicapped driver's ability test in Korea and available driving aids in cervical cord injured persons. METHOD: Forty-two cervical cord injured persons (C5~C8) were evaluated with BTE (Baltimore Therapeutic Equipment) work simulator. The isotonic turning torque was measured during clockwise and counter-clockwise turning. And isometric turning torque was measured at 12 directions. RESULTS: By the isotonic measurement, the turning torque increased in the lower level of injury. In the C6 tetraplegics, the counter-clockwise turning torque was significantly higher than clockwise. Among 25 persons with C5 or C6 tetraplegia, only 2 with C6 tetraplegia could operate the power steering with the lowest wheel turning torque (3.0 Nm). Only three persons (1 person with C7 tetraplegia, 2 persons with C8 tetraplegia) could pass the handicapped driver's ability test of Korea (9.4 Nm). By the isometric measurement, turning torque was lowest at left upper quadrant (10 to 12 o'clock direction) in clockwise rotation. CONCLUSION: Among the 42 cervical cord injured persons, only 3 persons with C7 and C8 tetraplegia could pass the handicapped driver's ability test of Korea. And among 25 C5 and C6 tetraplegia, only 2 persons with C6 tetraplegia could operate the power steering. It seems to be essential to modify the standards of handicapped drivers ability test and to evolve the driving aids for the C5 and C6 tetraplegics in Korea.
Disabled Persons ; Humans ; Korea ; Quadriplegia ; Torque*

A 49-year-old male presented with a giant bullous emphysematous lung mimicking a pneumothorax. The initial chest X-ray revealed that the left lung was totally collapsed. A chest tube was inserted at the emergency room, after that an iatrogenic pneumothorax developed. The HRCT showed giant bullous emphysema mimicking a pneumothorax. The pneumothorax spontaneously resolved without special treatment. His bullous lung lesion had remained unchanged until last follow-up.
Chest Tubes ; Emergency Service, Hospital ; Emphysema* ; Follow-Up Studies ; Humans ; Lung ; Male ; Middle Aged ; Pneumothorax* ; Thorax*

Background: and Purpose Dietary therapy (DT), including the ketogenic diet (KD), is one of the nonpharmacological treatment options for patient with drug-resistant epilepsy. However, maintaining DT in patients without seizure reduction is very difficult, so it is critical for clinicians to decide when to stop this intervention. Methods: We retrospectively analyzed early clinical and laboratory findings and the clinical characteristics of children who received DT. The maintenance of DT and the clinical seizure frequency were assessed at 1, 3, 6, 12, and 24 months after KD initiation. Responders were defined as patients showing an overall reduction in seizure frequency of >50% relative to the baseline. Results: We included 67 patients who received DT, but only 23 (34.3%) of these patients remained on DT at 6 months. Only 1 (5%) of the 20 responders at 1 month became a nonresponder at 6 months. The response rate at 6 months was significantly higher among patients under 2 years of age (15/17, 88.2%) than older patients (2/6, 33.3%; p=0.021). Moreover, the 6-month responders were significantly younger (29.4±38.6 months, mean±SD) than the nonresponders (98.9±84.6 months, p=0.012) at the initiation of the diet. A high blood β-hydroxybutyrate (BHB) level at 1 month predicted a good DT response at 6 months. Conclusions Most 1-month responders maintained their response on DT for up to 6 months.The blood BHB level at 1 month was significantly correlated with the 6-month seizure outcome.Confirming clinical and laboratory biomarkers for the efficacy of DT requires further studies with larger cohorts.

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Many classes of drug, such as antineoplastic drugs and antiarrhythmic drugs, have potential to induce interstitial lung disease. Herbal medicines are also believed to have the potential to induce pneumonitis. However, to our knowledge, there are no reports of pneumonitis caused by herbal medications in the Korean medical database. We report a case of recurrent pneumonitis caused by a self rechallenge of the Herbal medicine Bojungikgitang (Bu-Zhong-Yi-Qi-Tang : Hochu-ekki-to).
Anti-Arrhythmia Agents ; Antineoplastic Agents ; Herbal Medicine ; Lung Diseases, Interstitial ; Pneumonia

Granular cell tumor(formerly named to be granular cell myoblastoma) was first described by Abrikossoff in 1926 and is a rare tumor thought to be of Schwann cell origin. It can occur at any soft tissue of the body, but most cases are found at the tongue, skin, breast and GI tract. Only 6% of them occur in respiratory system. We report two cases of asymptomatic granular cell tumor of the bronchus that were detected incidentally by bronchoscopy. One patient had aspiration pneumonia, the other had immotile cilia syndrome. The former patient was simply observed and bronchoscopic extirpation of the tumor was done in the latter patient.
Breast ; Bronchi* ; Bronchoscopy* ; Ciliary Motility Disorders ; Gastrointestinal Tract ; Granular Cell Tumor* ; Humans ; Pneumonia, Aspiration ; Respiratory System ; Skin ; Tongue

The bovine leukemia virus (BLV) is the causative agent of enzootic bovine leucosis. This study investigated the presence of the BLV in leukemia (179 acute lymphoblastic leukemia, 292 acute myeloid leukemia and 46 chronic myelogenous leukemia cases) and 162 lung cancer patients (139 adenocarcinoma, 23 squamous cell carcinoma) to determine if the BLV is a causative organism of leukemia and lung cancer in Koreans. A BLV infection was confirmed in human cells by PCR using a BLV-8 primer combination. All 517 cases of human leukemia and 162 lung cancer were negative for a PCR of the BLV proviral DNA. In conclusion, although meat has been imported from BLV endemic areas, the BLV infection does not appear to be the cause of human leukemia or lung cancer in Koreans. These results can be used as a control for further studies on the BLV in Koreans.
Acute Disease ; Adenocarcinoma/virology ; Cell Line ; DNA, Viral/*genetics/isolation & purification ; Humans ; Korea ; Leukemia/*virology ; Leukemia Virus, Bovine/*genetics ; Leukemia, Lymphocytic, Acute/virology ; Leukemia, Myeloid/virology ; Leukemia, Myeloid, Chronic/virology ; Lung Neoplasms/*virology ; Polymerase Chain Reaction/methods ; Proviruses/*genetics