Colles' fracture is a common injury encountered in emergency departments. Despite the frequent experience of every orthopedic surgeon with Colles' fracture, considerable variation remains in the treatment of fracture of the distal radius. Everyone nearly agress that reduction of the fracture is not difficult, but maintenance of reduction is the problem. Eighty patients with Colles' fracture were treated with closed reduction and percutaneous pinning under the C-arm fields and followed up more than 1 year, from January 1990 to May 1993 at the Department of Orthopedic Surgery, Dae Han Hospital. The results of this study were as follows: 1. The fractures were classified according to the system of Gartland and Werley. Of the 80 cases, 12(5%) were type 1; 25(31%) type 2; and 43(54%) type 3. 2. Complications were such as; temporary neuropathy of median nerve 2 cases, redisplacement 2 cases, radiocarpal arthritis 1 cases, stiff hand 1 case and shoulder hand syndrome 1 case. 3. The overall assessment showed exellent in 29 patients(36.2%), good in 44 patients(55,0%) and poor in 7 patients(8.8%) under the subjective and objective criteria of Gartland and Werley and the objective criteia of Scheck. 4. The results were mainly correlated with maintenance of an anatomical reduction. 5. The percutaneous pinning was suitable for anatomical restoration and maintence, had less com plication and more advantage such as the early range of joint and simple technique. Conclusively, it was considered to be one of ideal method for the treatment of Colles' fracture in selected cases.
Arthritis ; Colles' Fracture ; Emergency Service, Hospital ; Hand ; Humans ; Joints ; Median Nerve ; Methods ; Orthopedics ; Osteotomy ; Radius ; Reflex Sympathetic Dystrophy

BACKGROUND: In order to treat obese individuals, control of caloric intake after determination of patient's energy expenditure and recommendation of exercise program with possible use of specific medication is advised. There are many limitations in measuring all individuals energy expenditure by calorimetry, thus estimation is made using many variables such as weight, height, age, and gender. But, commonly used equations to predict resting energy expenditure(REE) are thought to result in overestimation of energy expenditure for use with obese individuals. This study investigated difference between measured and predicted resting energy expenditure in obese individuals. METHODS: Subjects were 133 adults who were admitted either to Internal Medicine Department and ENT Department of Yeung Nam University Hospital and their resting energy expenditure was measured by indirect calorimetry. According to age, sex, smoking habits and body mass index, Measured REE by indirect calorimetry between groups was compared. Predicted REE estimated by 6 equations to measured REE was compared in the two groups by body mass index 27kg/m2 under 65 years old individuals. RESULTS: There was no significant difference of measured REE between groups according to smoking habits(p>0.05). In the older group(> or =65 years old), REE was lower compared to the younger groups(<65 years old)(p<0.05). In the obese group(body mass index>27kg/m2) measured REE was higher than the normal weight group(BMI<27kg/m2)(p<0.05). Among 108 individuals under 65 years old, other equation except for Fleish equation and Robertson and Reid equation were inaccurate when applied to the obese group. CONCLUSIONS: These commonly used prediction equations tend to overestimate the REE in obese individuals, and the best estimates for the obese seem to be derived from the Fleish and Robertson and Reid equations.
Adult ; Aged ; Body Mass Index ; Calorimetry ; Calorimetry, Indirect* ; Energy Intake ; Energy Metabolism* ; Humans ; Internal Medicine ; Obesity ; Smoke ; Smoking

PURPOSE: Esophageal cancer patients have a difficulty in the intake of meals through the blocked esophageal lumen, which is caused by an ingrowth of cancer cells and largely influences on the prognosis. It is reported that esophageal cancer has a very low survival rate due to the lack of nourishment and immunity as the result of this. In this study a new radioactive stent, which prevents tumor ingrowth and restenosis by additional radiation treatment, has been developed. MATERIALS AND METHODS: Using HANARO research reactor, the radioactive stent assembly (166Ho-SA) was prepared by covering the metallic stent with a radioactive sleeve by means of a post-irradiation and pre-irradiation methods. RESULTS: Scanning electron microscopy and autoradiography exhibited that the distribution of 165/166Ho (NO3) compounds in polyurethane matrix was homogeneous. A geometrical model of the esophagus considering its structural properties, was developed for the computer simulation of energy deposition to the esophageal wall. The dose distributions of 166Ho-stent were calculated by means of the EGS4 code system. The sources are considered to be distributed uniformly on the surface in the form of a cylinder with a diameter of 20 mm and length of 40 mm. As an animal experiment, when radioactive stent developed in this study was inserted into the esophagus of a Mongrel dog, tissue destruction and widening of the esophageal lumen were observed. CONCLUSION: We have developed a new radioactive stent comprising of a radioactive tubular sleeve covering the metallic stent, which emits homogeneous radiation. If it is inserted into the blocked or narrowed lumen, it can lead to local destruction of the tumor due to irradiation effect with dilatation resulting from self-expansion of the metallic property. Accordingly, it is expected that restenosis esophageal lumen by the continuous ingrowth and infiltration of cancer after insertion of our radioactive stent will be decreased remarkably.
Animal Experimentation ; Animals ; Autoradiography ; Computer Simulation ; Dilatation ; Dogs ; Esophageal Neoplasms* ; Esophagus ; Humans ; Meals ; Microscopy, Electron, Scanning ; Polyurethanes ; Prognosis ; Stents ; Survival Rate

PURPOSE: This study validated the musculoskeletal model of the human lower extremity by comparative study between calculated muscle parameters through simulation using modified hill-type model and measured muscle parameters through isokinetic exercise. The relationship between muscle forces and moments participated in motion was quantified from the results of simulation. MATERIALS AND METHODS: For simulation of isokinetic motion, a three-dimensional anatomical knee model was constructed using gait analysis. The EMG-force model was used to determine muscle activation level exciting muscles. The modified Hill-type model was used to calculate individual muscle force and moment in dynamic analysis. This method was validated by comparing analytical data with experimental data. RESULTS: The results showed that there was a significant correlation between calculated torques from simulation and measured torque from isokinetic motion experiments (R=0.97). We also found that muscle forces and moments during knee flexion and extension have nonlinearly proportional or inversely proportional relationship, since lower extremity muscles were simultaneously involved in flexion/extension motion and inner/outer rotation. CONCLUSION: We concluded that the simulation by using musculoskeletal model may be a useful mean to predict and recover musculoskeletal-related diseases, and analyze complicated experiment such as clash condition.
Gait ; Humans ; Knee Joint* ; Knee* ; Lower Extremity ; Muscles ; Torque

Congenitally corrected transposition of the great arteries is a rate congenital heart disease. In this discase, there is discordance between both the atria and ventricles and the ventricles and great vessels. The anatomic left ventricle lies on the rightside and is connected to the pulmonic trunk, whereas the anatomic right ventricles lies on the left side and functions as the systemic ventricle. Most patients have associated another cardiac anomalies and conduction disturbance.Less commonly, ventricular extrasystoles, paroxismal supraventricular tachycardia, WPW preexitaion and atrial fibrillation may be obserced. We report an adult case of congenitally corrected transposition of great arteries associated with paroxysmal atrial fibrillation and heart failure.
Adult* ; Arteries* ; Atrial Fibrillation* ; Chymopapain ; Heart Defects, Congenital ; Heart Failure* ; Heart Ventricles ; Heart* ; Humans ; Tachycardia, Supraventricular ; Transposition of Great Vessels ; Ventricular Premature Complexes

BACKGROUND: In latent type of hypertrophic obstructive cardiomyopathy, there is no pressure gradient at rest in left ventricular outflow tract(LVOT), but it develops with provocation. Dobutamine increase myocardial contractility and may inducce outflow tract obstruction. To evaluate the usefulness of dobutamine induced outflow tract obstruction as a provocation test, nine patients with latent obstructive cardiomyopathy were studied. METHOD: 680 cases of dobutamine stress echocardiography were reviewed. Nine patients developed late peaking outflow velocity pattern in response to dobutamine infusion(inducible group). Ten patients developed early peaking velocity pattern were included as control group. Left ventricular dimension, outflow tract diameter were measured, and pattern of septal hypertrophy was classified. Changes of peak velocity and acceleration time/ejection time ratio (AT/ET) were measured at rest and peak dose dobutamine. RESULTS: The peak outflow velocity at rest was not different in both groups(1.49±0.45, 1.18±0.11m/sec). Peak velocity and AT/ET ratio were significantly increased in inducible group(4.2±0.9m/sec, 0.66±0.17), but no significant changes were noted in control group. Patients with inducible group had greater septal thickness, smaller outflow tract diameter and greater prevalence of septal bulge morphology. CONCLUSION: These results suggest that dobutamine stress Doppler echocardiography could be a useful provocation test to diagnosis of latent obstructive cardiogyopathy.
Acceleration ; Cardiomyopathies ; Cardiomyopathy, Hypertrophic ; Diagnosis ; Dobutamine ; Echocardiography, Doppler ; Echocardiography, Stress ; Humans ; Hypertrophy ; Methods ; Prevalence

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models. METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning. RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively. CONCLUSIONS ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models.METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning.RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively.CONCLUSIONS: ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.
Classification ; Dataset ; Diagnosis ; Humans ; Lacrimal Apparatus Diseases ; Learning ; Logistic Models ; Machine Learning ; Nuclear Medicine ; Programming Languages ; Radionuclide Imaging