Objective: The aim of this study was to evaluate predictive role of risk of malignancy index in discriminating between benign and malignant adnexal masses preoperatively. Methods: This retrospective study was conducted with a total of 569 patients with adnexal masses/ovarian cysts managed surgically at our clinic between January 2006 and January 2012. Obtained data from patient files were age, gravidity, parity, menopause status, ultrasound findings and CA125 levels. For all patients ultrasound scans were performed. For the assessment of risk of malignancy index (RMI) Jacobs' model was used. Histopathologic results of all patients were recorded postoperatively. Malignancy status of the surgically removed adnexal mass was the gold standard. Results: Of the total masses, 245 (43.1%) were malignant, 316 (55.5%) were benign and 8 (1.4%) were borderline. The mean age of benign cases was lower than malign cases ($35.2{\pm}10.9$ versus $50.8{\pm}13.4$, p<0.001). Four hundred and five of them (71.2%) were in premenopausal period. Malignant tumors were more frequent in postmenopausal women (81% versus 29%, p<0.001). All ultrasound parameters of RMI were statistically significantly favorable for malignant masses. In our study ROC curve analysis for RMI provided maximum Youden index at level of 163.85. When we based on cutoff level for RMI as 163.85 sensitivity, specificity, PPV, NPV was calculated 74.7%, 96.2%, 94% and 82.6%, respectively. Conclusions: RMI was found to be a significant marker in preoperative evaluation and management of patients with an adnexal mass, and was useful for referring patients to tertiary care centers. Although utilization of RMI provides increased diagnostic accuracy in preoperative evaluation of patient with an adnexal mass, new diagnostic tools with higher sensitivity and specificity are needed to discriminate ovarian cancer from benign masses.
The objectives of this Paper is to implement a diagnostic classifier of differential laryngeal diseases from acoustic signals acquired in a noisy room. For this Purpose, the voice signals of the vowel /a/ were collected from Patients in a soundproof chamber and got mixed with noise. Then, the acoustic Parameters were analyzed, and hierarchical neural networks were applied to the data classification. The classifier had a structure of five-step hierarchical neural networks. The first neural network classified the group into normal and benign or malign laryngeal disease cases. The second network classified the group into normal or benign laryngeal disease cases The following network distinguished polyp. nodule. Palsy from the benign laryngeal cases. Glottic cancer cases were discriminated into T1, T2. T3, T4 by the fourth and fifth networks All the neural networks were based on multilayer perceptron model which classified non-linear Patterns effectively and learned by an error back-propagation algorithm. We chose some acoustic Parameters for classification by investigating the distribution of laryngeal diseases and Pilot classification results of those Parameters derived from MDVP. The classifier was tested by using the chosen parameters to find the optimum ones. Then the networks were improved by including such Pre-Processing steps as linear and z-score transformation. Results showed that 90% of T1, 100% of T2-4 were correctly distinguished. On the other hand. 88.23% of vocal Polyps, 100% of normal cases. vocal nodules. and vocal cord Paralysis were classified from the data collected in a noisy room.
Objectives : The awareness of health care need increasing attention from the public along with changing professional human-resources activity. As there are increasing social demand for the roles and professionalism of dental hygienists, the purpose of this study was to examine the job performance, creativity and organizational climate of dental hygienists by their own self-diagnostic evaluation in an attempt to help enhance their work ability. Methods : According to the data released as August 2008 by the Dental Association and public health centers in Gwangju, 735 dental hygienists worked at 425 dental clinics. The subjects in this study were 156 dental hygienists at 85 dental clinics who were selected by proportionate sampling method from among the dental hygienists. After an interview survey was conducted in person, the answer sheets from 132 respondents were analyzed except 24 incomplete ones. The questionnaire used in this study consisted of 49 items. A five-point Likert scale was used and SPSS 12.0 program was analyzed the data. Results : 1. As a result of checking the types of works, treatment cooperation(54%), and oral health education often(45%), They weren't responsible for preventive treatment(42%). 2. When they made a self-diagnostic evaluation of creativity and organizational climate, they put the highest value on their autonomy(2.21), followed by positive attitude(2.10). Out of seven organizational climate, challenging spirits(2.81) ranked highest, followed by reliability(2.66). 3. Major management eopmubyeol individual creativity compared with three business relationships and a positive attitude in the case of the high group received oral health education and care management services in a group doing the most was General office work and office assistance work in the medical assistance group that was doing business primarily. 4. In the relationship between self-assesment score and three performance duties, Positive difference was noted in the group with positive attitude and elevated autonomy in terms of performing oral health education. Conclusions : As a result, individual creativity and organization of the atmosphere, each detail, through analysis of the self-assessment model, developed guide on the investigation by doing a dental hygienist, a unique business promotion and Enlargement of the study suggested the need to be considered is.
This study deals with the policy proposals focusing on the addiction for the rapidly growing social media service (SNS) and its diagnosis. Researcher intends to define the SNS addiction and develops a diagnostic measure, which is a valuable subject. The reason is why the SNS becomes more convenient with prevalence of smart phones and the SNS addiction becomes enough severe to suggest internet addiction policy. Researcher presents the subjects into three parts. Firstly, the SNS addiction variables are derived and validated. Secondly, the path model between the SNS addiction variables is verified and discussed. Thirdly, researcher proposes the diagnostic results and the group comparison. Therefore, the result of this study is that the SNS addiction can be measured by the four elements, which are the failure in stopping the use of the SNS, time tolerance, living disability, withdrawal and anxiety. Researcher verifies the sequential impact of each variable and figures out the SNS addict through the presentation of a realistic measurement for the addiction index and the determination of the level of the addiction. By the above result, the researcher proposes the public relations of the government policy for the sound usage of the SNS and the self management of user. Finally, various proposed in this study will help to prevent juvenile crime, social problems in the future.
In this study, standard model of medical radiation dosage quality control system will be suggested and the useful of this system in clinical field will be reviewed. Radiation dosage information of modalities are gathered from digital imaging and communications in medicine(DICOM) standard data(such as DICOM dose SR and DICOM header) and stored in database. One CT scan, two digital radiography modalities and two mammography modalities in one health promotion center in Seoul are used to derive clinical data for one month. After 1 months research with 703 CT scans, the study shows CT $357.9mGy{\cdot}cm$ in abdomen and pelvic CT, $572.4mGy{\cdot}cm$ in brain without CT, $55.9mGy{\cdot}cm$ in calcium score/heart CT, screening CT at $54mGy{\cdot}cm$ in chest screening CT(low dose screening CT scan), $284.99mGy{\cdot}cm$ in C-spine CT and $341.85mGy{\cdot}cm$ in L-spine CT as health promotion center reference level of each exam. And with 1955 digital radiography cases, it shows $274.0mGy{\cdot}cm2$ and for mammography 6.09 mGy is shown based on 536 cases. The use of medical radiation shall comply with the principles of justification and optimization. This quality management of medical radiation exposure must be performed in order to follow the principle. And the procedure to reduce the radiation exposure of patients and staff can be achieved through this. The results of this study can be applied as a useful tool to perform the quality control of medical radiation exposure.
Pruritus (itching) is classically defined as an unpleasant cutaneous sensation that leads to scratching behavior. Although the scientific criteria of classification for pruritic diseases are not clear, it can be divided as acute or chronic by duration of symptoms. In this study, we investigated whether skin injury caused by chemical (contact hypersensitivity, CHS) or physical (skin-scratching stimulation, SSS) stimuli causes initial pruritus and analyzed gene expression profiles systemically to determine how changes in skin gene expression in the affected area are related to itching. In both CHS and SSS, we ranked the Gene Ontology Biological Process terms that are generally associated with changes. The factors associated with upregulation were keratinization, inflammatory response and neutrophil chemotaxis. The Kyoto Encyclopedia of Genes and Genomes pathway shows the difference of immune system, cell growth and death, signaling molecules and interactions, and signal transduction pathways. Il1a, Il1b and Il22 were upregulated in the CHS, and Tnf, Tnfrsf1b, Il1b, Il1r1 and Il6 were upregulated in the SSS. Trpc1 channel genes were observed in representative itching-related candidate genes. By comparing and analyzing RNA-sequencing data obtained from the skin tissue of each animal model in these characteristic stages, it is possible to find useful diagnostic markers for the treatment of itching, to diagnose itching causes and to apply customized treatment.
Journal of the Korea Academia-Industrial cooperation Society
/
v.20
no.9
/
pp.551-557
/
2019
Diagnosis of abnormal faults is essential for producing high quality products. The role of real-time diagnosis is quite increasing in the batch processes of producing high value-added products such as semiconductors, pharmaceuticals, and so forth. In this study, we evaluate the effect of variable selection and future-value estimation techniques on the performance of the diagnosis system, which is based on nonlinear classification and measurement data. The diagnostic performance can be improved by selecting only the variables that are important and have high contribution for diagnosis. Thus, the diagnostic performance of several variable selection techniques is compared and evaluated. In addition, missing data of a new batch, called future observations, should be estimated because the full data of a new batch is not available before the end of the cycle. In this work the use of different estimation techniques is analyzed. A case study on the polyvinyl chloride batch process was carried out so that optimal variable selection and estimation methods were obtained: maximum 21.9% and 13.3% improvement by variable selection and maximum 25.8% and 15.2% improvement by estimation methods.
Ye-Eun, Lee;Seung-Hwa, Han;Dong-Gyu, Lee;Ho-Joon, Kim
KIPS Transactions on Software and Data Engineering
/
v.12
no.1
/
pp.51-58
/
2023
In this paper, we propose an organ segmentation technique for the automatic extraction of medical diagnostic indicators from X-ray images. In order to calculate diagnostic indicators of heart disease and spinal disease such as VHS(vertebral heart scale) and Cobb angle, it is necessary to accurately segment the thoracic spine, carina, and heart in a chest X-ray image. A deep neural network model in which the high-resolution representation of the image for each layer and the structure converted into a low-resolution feature map are connected in parallel was adopted. This structure enables the relative position information in the image to be effectively reflected in the segmentation process. It is shown that learning performance can be improved by combining the OCR module, in which pixel information and object information are mutually interacted in a multi-step process, and the channel attention module, which allows each channel of the network to be reflected as different weight values. In addition, a method of augmenting learning data is presented in order to provide robust performance against changes in the position, shape, and size of the subject in the X-ray image. The effectiveness of the proposed theory was evaluated through an experiment using 145 human chest X-ray images and 118 animal X-ray images.
This study tried to derive implications by analyzing the literature related to food psychology to understand the psychological and emotional influence of food. The results of an exploratory study on food psychology are as follows. First, it was found that the perception of taste is related to an individual's state of mind. Second, as the theories for understanding the psychological aspects of food intake, the eating inhibition theory, the emotion regulation theory, and the escape model for binge eating based on the narcissistic theory were confirmed. Third, it was found that tools that can measure symptoms related to binge eating occupy a large portion of food-related diagnostic tools. Fourth, research on food-related psychological disorders was conducted on food cravings, binge eating disorder, bulimia nervosa, eating inhibition, and healthy food obsession. Fifth, it was found that studies related to the treatment of food-related psychological disorders were focused on the cognitive behavioral therapy approach. This study will serve as a basis for understanding and intervening in the emotional impact of food and psychological problems related to food.
Severe wear of the anterior teeth facilitates the loss of anterior guidance, which protects the posterior teeth from wear during excursive movement. Additionally, when treating patients with collapsed occlusion due to multiple tooth loss and tooth wear, it is important to determine the presence of vertical dimension loss through accurate clinical and radiographic examinations and diagnostic wax-up. The patient of this case is a 44-year-old female patient who complained of overall tooth wear and loss of posterior teeth due to bruxism and clenching habits, visited the hospital with the address of restoring masticatory function and improving aesthetic appearance through prosthetic treatment. Through model analysis and diagnostic wax-up, an increase in vertical dimension was determined, and full mouth restoration with fixed prostheses was planned. The degree of adaptation to the vertical dimension was confirmed step by step using an occlusal splint designed with CAD (Computer aided design) software and 3-D (3-Dimensional) printed, and then restored with provisional restoration and after a 4-month adaptation period, the entire dentition was restored with metal ceramic crowns and implants. Through this procedure, satisfactory treatment results were obtained in terms of function and aesthetics.
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