OBJECTIVE: To evaluate which Korean pain descriptors are frequently used in the patients with neuromusculoskeletal diseases and compare the frequency of Korean pain descriptor according to age, gender, pain pattern and intensity, and clinical diagnosis.METHOD: Two hundreds sixty nine patients with neuromusculoskeletal diseases were enrolled in this study. The patients were asked to fill out a pain questionnaire using Korean. The Korean pain descriptors were collected and classified according to neurophysiological mechanism. The frequency of Korean pain descriptor was analyzed by age, gender, pain pattern and intensity, and clinical diagnosis. They were divided into axial spine and peripheral joint pain group depending on the location of causal disease and shoulder pain descriptors were divided into intra-articular and bursa group.RESULTS: Among 24 Korean pain descriptors, ‘arida’ was the most common pain descriptor, followed by ‘ssusida’ and ‘jjireunda’. When the pain descriptors were classified according to neurophysiological mechanism, superficial somatic pain was the most common, followed by deep somatic pain. There was a significant difference in the frequency of the pain descriptor between axial spine and peripheral joint pain group (p=0.007). The pain descriptor ‘danggida’ was used significantly more in the patients with axial spine pain than peripheral joint pain (p=0.024). However, there was no significant difference in other factors.CONCLUSION: The patients with neuromusculoskeletal diseases expressed their pain using various Korean pain descriptors with stabbing nature and superficial somatic pain. Our results may be helpful to assess and develop a new Korean pain quality measure in the patients with neuromusculoskeletal diseases.
Arthralgia ; Diagnosis ; Humans ; Methods ; Musculoskeletal Pain ; Neuralgia ; Nociceptive Pain ; Sensation ; Shoulder Pain ; Spine ; Subject Headings

Because the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) was mainly influenced by the neo-Kraepelinian approach, its categorical approach to defining mental disorders has been criticized from the viewpoint of etiological neutrality. In the context of bridging the gap between “presumed etiologies-based symptomatology” and “identifiable pathophysiological etiologies,” the content in 5th edition, the DSM-5, has been revised to incorporate a combination of categorical and dimensional approaches. The most remarkable change of note regarding the diagnostic classification of depressive disorders in the DSM-5 is the splitting of mood disorders into bipolar disorders and depressive disorders, which is in accordance with the deconstruction of the Kraepelinian dualism for psychoses. The transdiagnostic specifiers “with mixed features,” “with psychotic features,” and “with anxious distress” are introduced to describe the relationships of depressive disorders with bipolar disorders, schizophrenia, and generalized anxiety disorder, respectively, in a dimensional manner. The lowering of the diagnostic threshold for major depressive disorder (MDD) may be caused by the addition of “hopelessness” to the subjective descriptors of depressive mood and the elimination of “bereavement exclusion” from the definition of MDD. Since the heterogeneity of MDD is equivalent to the Wittgensteinian “games” analogy, the different types of MDD are related not by a single essential feature but rather by “family resemblance.” Network analyses of MDD symptoms may therefore need further review to elucidate the connections among interrelated symptoms and other clinical elements.
Anxiety Disorders ; Bipolar Disorder ; Classification ; Depressive Disorder ; Depressive Disorder, Major ; Diagnostic and Statistical Manual of Mental Disorders ; Mental Disorders ; Mood Disorders ; Population Characteristics ; Psychotic Disorders ; Schizophrenia ; Subject Headings

Despite advances in the field of male reproductive health, idiopathic male infertility, in which a man has altered semen characteristics without an identifiable cause and there is no female factor infertility, remains a challenging condition to diagnose and manage. Increasing evidence suggests that oxidative stress (OS) plays an independent role in the etiology of male infertility, with 30% to 80% of infertile men having elevated seminal reactive oxygen species levels. OS can negatively affect fertility via a number of pathways, including interference with capacitation and possible damage to sperm membrane and DNA, which may impair the sperm's potential to fertilize an egg and develop into a healthy embryo. Adequate evaluation of male reproductive potential should therefore include an assessment of sperm OS. We propose the term Male Oxidative Stress Infertility, or MOSI, as a novel descriptor for infertile men with abnormal semen characteristics and OS, including many patients who were previously classified as having idiopathic male infertility. Oxidation-reduction potential (ORP) can be a useful clinical biomarker for the classification of MOSI, as it takes into account the levels of both oxidants and reductants (antioxidants). Current treatment protocols for OS, including the use of antioxidants, are not evidence-based and have the potential for complications and increased healthcare-related expenditures. Utilizing an easy, reproducible, and cost-effective test to measure ORP may provide a more targeted, reliable approach for administering antioxidant therapy while minimizing the risk of antioxidant overdose. With the increasing awareness and understanding of MOSI as a distinct male infertility diagnosis, future research endeavors can facilitate the development of evidence-based treatments that target its underlying cause.
Antioxidants ; Classification ; Clinical Protocols ; Diagnosis ; DNA ; Embryonic Structures ; Female ; Fertility ; Health Expenditures ; Humans ; Infertility ; Infertility, Male ; Male ; Membranes ; Ovum ; Oxidants ; Oxidation-Reduction ; Oxidative Stress ; Reactive Oxygen Species ; Reducing Agents ; Reproductive Health ; Semen ; Spermatozoa ; Subject Headings

Medical Subject Headings (MeSH), a medical thesaurus created by the National Library of Medicine (NLM), is a useful resource for natural language processing (NLP). In this article, the current status of the Japanese version of Medical Subject Headings (MeSH) is reviewed. Online investigation found that Japanese-English dictionaries, which assign MeSH information to applicable terms, but use them for NLP, were found to be difficult to access, due to license restrictions. Here, we investigate an open-source Japanese-English glossary as an alternative method for assigning MeSH IDs to Japanese terms, to obtain preliminary data for NLP proof-of-concept.
Asian Continental Ancestry Group ; Humans ; Licensure ; Medical Subject Headings ; Methods ; National Library of Medicine (U.S.) ; Natural Language Processing ; Vocabulary, Controlled

Recurrent urinary tract infections (UTIs) in children are associated with development of pyelonephritis and renal scarring. Traditionally, continuous antibiotic prophylaxis (CAP) has been used to prevent recurrent UTI. Recent studies have challenged the efficacy of CAP for preventing renal scarring and have raised concerns about inducing bacterial resistance. This review focuses on studies published between January 2000 and April 2019 and evaluates the use of CAP in children for avoiding recurrent UTIs and renal scarring. A systematic literature search was carried out using the following search terms and related medical subject headings in the MEDLINE electronic database: ‘urinary tract infection’, ‘antimicrobial/antibiotic prophylaxis’, and ‘children/pediatrics’. Randomized clinical trials (RCTs), original research articles, guidelines, systematic reviews, and meta-analyses describing antibiotic prophylaxis for UTIs were included. A total of 34 RCTs, 9 systematic reviews, and 3 guidelines describing antibiotic prophylaxis were included in this review. The efficacy of CAP for preventing recurrent UTI remains unclear due to non-generalizability of results obtained from suboptimally designed clinical trials. CAP has not been proven as beneficial for preventing new renal scarring in children. Additionally, CAP is associated with increased risk of multidrug resistant infections in children. No conclusive evidence can be drawn from the available clinical data to support routine use of CAP for prevention of renal scarring. Accumulation of evidence from additional well designed studies may result in different conclusions in the future. It is important to identify specific risks for recurrent UTI and ensuing renal injury to ensure more judicious use of CAP.
Anti-Bacterial Agents ; Antibiotic Prophylaxis ; Child ; Cicatrix ; Humans ; Medical Subject Headings ; Pediatrics ; Pyelonephritis ; Urinary Tract Infections ; Urinary Tract

OBJECTIVE: To develop a scoring system stratifying the malignancy risk of mammographic microcalcifications using the 5th edition of the Breast Imaging Reporting and Data System (BI-RADS).MATERIALS AND METHODS: One hundred ninety-four lesions with microcalcifications for which surgical excision was performed were independently reviewed by two radiologists according to the 5th edition of BI-RADS. Each category's positive predictive value (PPV) was calculated and a scoring system was developed using multivariate logistic regression. The scores for benign and malignant lesions or BI-RADS categories were compared using an independent t test or by ANOVA. The area under the receiver operating characteristic curve (AUROC) was assessed to determine the discriminatory ability of the scoring system. Our scoring system was validated using an external dataset.RESULTS: After excision, 69 lesions were malignant (36%). The PPV of BI-RADS descriptors and categories for calcification showed significant differences. Using the developed scoring system, mean scores for benign and malignant lesions or BI-RADS categories were significantly different (p < 0.001). The AUROC of our scoring system was 0.874 (95% confidence interval, 0.840–0.909) and the PPV of each BI-RADS category determined by the scoring system was as follows: category 3 (0%), 4A (6.8%), 4B (19.0%), 4C (68.2%), and 5 (100%). The validation set showed an AUROC of 0.905 and PPVs of 0%, 8.3%, 11.9%, 68.3%, and 94.7% for categories 3, 4A, 4B, 4C, and 5, respectively.CONCLUSION: A scoring system based on BI-RADS morphology and distribution descriptors could be used to stratify the malignancy risk of mammographic microcalcifications.
Breast Neoplasms ; Breast ; Dataset ; Information Systems ; Logistic Models ; Mammography ; ROC Curve ; Subject Headings

This paper presents a new class of local neighborhood based wavelet feature descriptor (LNWFD) for content based medical image retrieval (CBMIR). To retrieve images effectively from large medical databases is backbone of diagnosis. Existing wavelet transform based medical image retrieval methods suffer from high length feature vector with confined retrieval performance. Triplet half-band filter bank (THFB) enhanced the properties of wavelet filters using three kernels. The influence of THFB has employed in the proposed method. First, triplet half-band filter bank (THFB) is used for single level wavelet decomposition to obtain four sub-bands. Next, the relationship among wavelet coefficients is exploited at each sub-band using 3 × 3 neighborhood window to form LNWFD pattern. The novelty of the proposed descriptor lies in exploring relation between wavelet transform values of pixels rather than intensity values which gives more detail local information in wavelet sub-bands. Thus, proposed feature descriptor is robust against illumination. Manhattan distance is used to compute similarity between query feature vector and feature vector of database. The proposed method is tested for medical image retrieval using OASIS-MRI, NEMA-CT, and Emphysema-CT databases. The average retrieval precisions achieved are 71.45%, 99.51% of OASIS-MRI and NEMA-CT databases for top ten matches considered respectively and 55.51% of Emphysema-CT database for top 50 matches. The superiority in terms of performance of the proposed method is confirmed by the experimental results over the well-known existing descriptors.
Diagnosis ; Humans ; Lighting ; Methods ; Residence Characteristics ; Subject Headings ; Triplets ; Wavelet Analysis

In the field of computational histopathology, computer-assisted diagnosis systems are important in obtaining patient-specific diagnosis for various diseases and help precision medicine. Therefore, many studies on automatic analysis methods for digital pathology images have been reported. In this work, we discuss an automatic feature extraction and disease stage classification method for glioblastoma multiforme (GBM) histopathological images. In this paper, we use deep convolutional neural networks (Deep CNNs) to acquire feature descriptors and a classification scheme simultaneously. Further, comparisons with other popular CNNs objectively as well as quantitatively in this challenging classification problem is undertaken. The experiments using Glioma images from The Cancer Genome Atlas shows that we obtain 96:5% average classification accuracy for our network and for higher cross validation folds other networks perform similarly with a higher accuracy of 98:0%. Deep CNNs could extract significant features from the GBM histopathology images with high accuracy. Overall, the disease stage classification of GBM from histopathological images with deep CNNs is very promising and with the availability of large scale histopathological image data the deep CNNs are well suited in tackling this challenging problem.
Classification* ; Diagnosis ; Diagnosis, Computer-Assisted ; Genome ; Glioblastoma* ; Glioma ; Methods ; Pathology ; Precision Medicine ; Subject Headings

BACKGROUND: Sparganosis is a larval cestodiasis caused by the plerocercoid of Spirometra spp. Since the first description of human sparganosis in 1924, several hundred cases have been reported in Korea. However, systematic approaches for literature surveys of Korean sparganosis have seldom appeared. METHODS: We searched publicly available databases such as PubMed, Research Information Sharing Service, and Korea Medical Citation Index with relevant Medical Subject Headings. RESULTS: At least 438 Korean sparganosis cases have been described from 1924 to 2015. Preoperative diagnosis has been significantly increased since the 1980s due to popularization of serological and imaging diagnostics. Cases were largely detected from fifth decades in general, but cerebral sparganosis was detected in relatively young age groups (third and fourth decades). Sparganosis was prevalent in men (75.9%). Consumption of frog/snake and drinking unfiltered water were found in 63.4% and 16.9% of patients, respectively. Most frequently affected sites were subcutaneous tissues (49.9%), followed by the central nervous system (36.2%). Involvements of visceral organs (7.6%), ocular regions (3.6%), and muscles (2.7%) were noticed. In women, breast sparganosis constituted a large proportion (34.2%). Sparganosis associated with immunocompromised patients has recently been reported. CONCLUSION: Sparganosis has been continuously reported in Korea during the past 90 years, although its incidence has decreased during the last 20 years. The disease is mostly characterized by subcutaneous nodule, but infection of the worm in vital organs often results in serious illness. Continuous awareness is warranted to monitor sparganosis occurrence and associated clinical consequences.
Breast ; Central Nervous System ; Diagnosis ; Drinking ; Female ; Humans* ; Immunocompromised Host ; Incidence ; Information Dissemination ; Korea* ; Male ; Medical Subject Headings ; Muscles ; Sparganosis* ; Sparganum ; Spirometra ; Subcutaneous Tissue ; Water

PURPOSE: The aim of this study was to compare the performance of image analysis for predicting breast cancer using two distinct regression models and to evaluate the usefulness of incorporating clinical and demographic data (CDD) into the image analysis in order to improve the diagnosis of breast cancer. METHODS: This study included 139 solid masses from 139 patients who underwent a ultrasonography-guided core biopsy and had available CDD between June 2009 and April 2010. Three breast radiologists retrospectively reviewed 139 breast masses and described each lesion using the Breast Imaging Reporting and Data System (BI-RADS) lexicon. We applied and compared two regression methods-stepwise logistic (SL) regression and logistic least absolute shrinkage and selection operator (LASSO) regression-in which the BI-RADS descriptors and CDD were used as covariates. We investigated the performances of these regression methods and the agreement of radiologists in terms of test misclassification error and the area under the curve (AUC) of the tests. RESULTS: Logistic LASSO regression was superior (P < 0.05) to SL regression, regardless of whether CDD was included in the covariates, in terms of test misclassification errors (0.234 vs. 0.253, without CDD; 0.196 vs. 0.258, with CDD) and AUC (0.785 vs. 0.759, without CDD; 0.873 vs. 0.735, with CDD). However, it was inferior (P < 0.05) to the agreement of three radiologists in terms of test misclassification errors (0.234 vs. 0.168, without CDD; 0.196 vs. 0.088, with CDD) and the AUC without CDD (0.785 vs. 0.844, P < 0.001), but was comparable to the AUC with CDD (0.873 vs. 0.880, P=0.141). CONCLUSION: Logistic LASSO regression based on BI-RADS descriptors and CDD showed better performance than SL in predicting the presence of breast cancer. The use of CDD as a supplement to the BI-RADS descriptors significantly improved the prediction of breast cancer using logistic LASSO regression.
Area Under Curve ; Biopsy ; Breast Neoplasms* ; Breast* ; Diagnosis* ; Humans ; Information Systems ; Logistic Models ; Retrospective Studies ; Subject Headings ; Ultrasonography*