Purpose: Bladder capacity is an important parameter in the diagnosis of lower urinary tract dysfunction. We aimed to determine whether the maximum bladder capacity (MCC) measured during a urodynamic study was affected by involuntary detrusor contraction (IDC) in patients with Lower Urinary Tract Symptoms (LUTS)/Benign Prostatic Hyperplasia (BPH). Methods: Between March 2020 and April 2021, we obtained maximum voided volume (MVV) from a 3-day frequency-volume chart, MCC during filling cystometry, and maximum anesthetic bladder capacity (MABC) during holmium laser enucleation of the prostate under spinal or general anesthesia in 139 men with LUTS/BPH aged >50 years. Patients were divided according to the presence of IDC during filling cystometry. We assumed that the MABC is close to the true value of the MCC, as it is measured under the condition of minimizing neural influence over the bladder. Results: There was no difference in demographic and clinical characteristics between the non-IDC (n=20) and IDC groups (n=119) (mean age, 71.5±7.4) (P>0.05). The non-IDC group had greater bladder volume to feel the first sensation, first desire, and strong desire than the IDC group (P<0.001). In all patients, MABC and MVV were correlated (r=0.41, P<0.001); however, there was no correlation between MCC and MABC (r=0.19, P=0.02). There was no significant difference in MABC between the non-IDC and IDC groups (P=0.19), but MVV and MCC were significantly greater in the non-IDC group (P<0.001). There was no significant difference between MABC and MVV (MABC-MVV, P=0.54; MVV/MABC, P=0.07), but there was a significant difference between MABC and MCC between the non-IDC and IDC groups (MABC-MCC, P<0.001; MCC/MABC, P<0.001). Conclusions Maximum bladder capacity from a urodynamic study does not represent true bladder capacity because of involuntary contractions.

The cello-tape anal swab specimens from 936 primary school children in Seoul, 308 primary school children in a rural area and 92 children in Nanjido, were examined for Enterobius vermicularis eggs. Out of 936 specimens from a primary school in Seoul, E. vermicularis eggs were detected in 114 specimens, the egg detection rate being 12.2 percent. In 308 specimens from a primary school in a rural area, 77 (25.0 percent) were positive for E. vermicularis eggs. Among 92 specimens from Nanjido children in Seoul, egg positive rate of E. vermicularis was 28.3 percent. The egg detection rate of primary school children in Seoul was significantly lower than that of primary school children in a rural area and of Nanjido children. The egg detection rate in boys was lower than that of girls. As the age of children increased, the egg detection rate decreased.
parasitolgy-helminth-nematoda ; Enterobius vermicularis ; egg ; epidemiology

We report a case of primary mucosa-associated lymphoid tissue (MALT) lymphoma in the esophagus that manifested as a large submucosal tumor (SMT). Primary esophageal lymphoma is very rare, occurring in less than 1% of all patients with gastrointestinal lymphoma. Only a few cases of MALT lymphoma in the esophagus have been reported in the English literature. A 53-year-old man was referred to Dongguk University Ilsan Hospital (Goyang, Korea) in July 2012 for further evaluation and treatment of an esophageal SMT. Endoscopy showed a cylindrically elongated submucosal mass with normal overlying mucosa in the mid esophagus, 25-30 cm from the incisor teeth. He underwent surgery to confirm the diagnosis. Pathologic findings showed diffuse small atypical lymphoid cells which were stained with Bcl-2, CD20, but not with CD3, CD5, CD23, Bcl-6, or cyclin D1. These cells showed a positive monoclonal band for immunoglobulin heavy chain gene rearrangement. Based on the pathological, immunohistochemical, and molecular biological features, the esophageal mass was diagnosed as extranodal marginal zone B-cell lymphoma of the MALT type.
Antigens, CD20/metabolism ; Bone Marrow/pathology ; Esophageal Neoplasms/*diagnosis/pathology/surgery ; Gastroscopy ; Humans ; Immunohistochemistry ; Lymphoma, B-Cell, Marginal Zone/*diagnosis/pathology/surgery ; Male ; Middle Aged ; Mucous Membrane/pathology ; Proto-Oncogene Proteins c-bcl-2/metabolism ; Tomography, X-Ray Computed

OBJECTIVES: This study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an artificial-intelligence-based image recognition scheme. METHODS: Waveform images of an abnormal resting membrane potential generated by diagnostic needle EMG were classified into three types—positive sharp waves (PSW), fibrillations (Fibs), and Others—using the TensorFlow-Slim image classification model library. A total of 4,015 raw waveform data instances were reviewed, with 8,576 waveform images subsequently collected for training. Images were learned repeatedly through a convolutional neural network. Each selected waveform image was classified into one of the aforementioned categories according to the learned results. RESULTS: The classification model, Inception v4, was used to divide waveform images into three categories (accuracy = 93.8%, precision = 99.5%, recall = 90.8%). This was done by applying the pretrained Inception v4 model to a fine-tuning method. The image recognition model was created for training using various types of image-based medical data. CONCLUSIONS: The TensorFlow-Slim library can be used to train and recognize image data, such as EMG waveforms, through simple coding rather than by applying TensorFlow. It is expected that a convolutional neural network can be applied to image data such as the waveforms of electrophysiological signals in a body based on this study.
Artificial Intelligence ; Boidae ; Classification ; Clinical Coding ; Electromyography ; Membrane Potentials ; Methods ; Needles

No abstract available.
Leukemia, Myeloid, Acute*

OBJECTIVES: Augmented reality (AR) technology has become rapidly available and is suitable for various medical applications since it can provide effective visualization of intricate anatomical structures inside the human body. This paper describes the procedure to develop an AR app with Unity3D and Vuforia software development kit and publish it to a smartphone for the localization of critical tissues or organs that cannot be seen easily by the naked eye during surgery. METHODS: In this study, Vuforia version 6.5 integrated with the Unity Editor was installed on a desktop computer and configured to develop the Android AR app for the visualization of internal organs. Three-dimensional segmented human organs were extracted from a computerized tomography file using Seg3D software, and overlaid on a target body surface through the developed app with an artificial marker. RESULTS: To aid beginners in using the AR technology for medical applications, a 3D model of the thyroid and surrounding structures was created from a thyroid cancer patient's DICOM file, and was visualized on the neck of a medical training mannequin through the developed AR app. The individual organs, including the thyroid, trachea, carotid artery, jugular vein, and esophagus were localized by the surgeon's Android smartphone. CONCLUSIONS: Vuforia software can help even researchers, students, or surgeons who do not possess computer vision expertise to easily develop an AR app in a user-friendly manner and use it to visualize and localize critical internal organs without incision. It could allow AR technology to be extensively utilized for various medical applications.
Carotid Arteries ; Education, Medical ; Esophagus ; Human Body ; Humans ; Imaging, Three-Dimensional ; Jugular Veins ; Manikins ; Methyltestosterone ; Neck ; Smartphone ; Surgeons ; Thyroid Gland ; Thyroid Neoplasms ; Thyroidectomy ; Trachea

Objectives: Smart hospitals involve the application of recent information and communications technology (ICT) innovations to medical services; however, the concept of a smart hospital has not been rigorously defined. In this study, we aimed to derive the definition and service types of smart hospitals and investigate cases of each type. Methods: A literature review was conducted regarding the background and technical characteristics of smart hospitals. On this basis, we conducted a focus group interview with experts in hospital information systems, and ultimately derived eight smart hospital service types. Results: Smart hospital services can be classified into the following types: services based on location recognition and tracking technology that measures and monitors the location information of an object based on short-range communication technology; high-speed communication network-based services based on new wireless communication technology; Internet of Things-based services that connect objects embedded with sensors and communication functions to the internet; mobile health services such as mobile phones, tablets, and wearables; artificial intelligence-based services for the diagnosis and prediction of diseases; robot services provided on behalf of humans in various medical fields; extended reality services that apply hyper-realistic immersive technology to medical practice; and telehealth using ICT. Conclusions Smart hospitals can influence health and medical policies and create new medical value by defining and quantitatively measuring detailed indicators based on data collected from existing hospitals. Simultaneously, appropriate government incentives, consolidated interdisciplinary research, and active participation by industry are required to foster and facilitate smart hospitals.

Objectives: The purpose of this study was to explore new ways of creating value in the medical field and to derive recommendations for the role of medical institutions and the government. Methods: In this paper, based on expert discussion, we classified Internet of Things (IoT) technologies into four categories according to the type of information they collect (location, environmental parameters, energy consumption, and biometrics), and investigated examples of application. Results: Biometric IoT diagnoses diseases accurately and offers appropriate and effective treatment. Environmental parameter measurement plays an important role in accurately identifying and controlling environmental factors that could be harmful to patients. The use of energy measurement and location tracking technology enabled optimal allocation of limited hospital resources and increased the efficiency of energy consumption. The resulting economic value has returned to patients, improving hospitals’ cost-effectiveness. Conclusions Introducing IoT-based technology to clinical sites, including medical institutions, will enhance the quality of medical services, increase patient safety, improve management efficiency, and promote patient-centered medical services. Moreover, the IoT is expected to play an active role in the five major tasks of facility hygiene in medical fields, which are all required to deal with the COVID-19 pandemic: social distancing, contact tracking, bed occupancy control, and air quality management. Ultimately, the IoT is expected to serve as a key element for hospitals to perform their original functions more effectively. Continuing investments, deregulation policies, information protection, and IT standardization activities should be carried out more actively for the IoT to fulfill its expectations.

Trichinosis is a worldwide parasitic infection developed after the ingestion of uncooked meat containing viable larvae of the nematode Trichinella spiralis. Fever, myalgia, periorbital edema and eosinophilia are characteristic features and most infections are mild and asymptomatic, but a few cases have a severe clinical course due to cardiac or cerebral complications. This parasitic infection is spread in nature among a large number of carnivorous animals, human being an incidental host. While the highest prevalence is in North America and Europe, some outbreaks of trichinosis have been reported in the areas of Southeast Asia, China and Japan recently, but it has not been reported in Korea yet. We experienced a case of trichinosis with typical clinical features and laboratory findings of trichinosis after eating a raw liver and blood of wild badger which was poached in Chi-ri mountain.
Animals ; Asia, Southeastern ; China ; Disease Outbreaks ; Eating* ; Edema ; Eosinophilia ; Europe ; Fever ; Humans ; Japan ; Korea ; Larva ; Liver ; Meat ; Mustelidae* ; Myalgia ; North America ; Prevalence ; Trichinella spiralis ; Trichinellosis*

While angina pectoris is not uncommonly seen in hyperthyroidism, only rare case reports have proved that the myocardial ischemia was induced by coronary artery spasm. A 62 year-old man with a prior diagnosis of hyperthyroidism presented with repeated episodes of syncope and chest pain. The coronary angiogram showed normal coronary arteries. Severe diffuse spasm of both coronary was spontaneously induced and normalized after intracoronary nitroglycerin injection during the procedure of coronary angiography. For one year, he was on simultaneous antianginal and antithyroidal medicines with accomplishment of euthyroid state. He did not experience and anginal symptom for the last six months. The followup coronary angiogram performed 1 year later revealed a newly developed atherosclerotic lesion (about 50% stenosis in diameter) at the proximal left anterior descending artery. However provocative challenge test with intracoronary acetylcholine infusion failed to induce coronary spasm at the lesion. We report a case of coronary artery spasm associated with hyperthyroidism with a review of literatures.
Acetylcholine ; Angina Pectoris ; Arteries ; Chest Pain ; Constriction, Pathologic ; Coronary Angiography ; Coronary Vessels ; Diagnosis ; Follow-Up Studies ; Humans ; Hyperthyroidism* ; Middle Aged ; Myocardial Ischemia ; Nitroglycerin ; Spasm ; Syncope