• Title/Summary/Keyword: Diagnosis Area

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Potential impact of metal crowns at varying distances from a carious lesion on its detection on cone-beam computed tomography scans with several protocols

  • Matheus Barros-Costa;Eduarda Helena Leandro Nascimento;Iago Filipe Correia-Dantas;Matheus L. Oliveira;Deborah Queiroz Freitas
    • Imaging Science in Dentistry
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    • v.54 no.1
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    • pp.49-56
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    • 2024
  • Purpose: This study evaluated the impact of artifacts generated by metal crowns on the detection of proximal caries lesions in teeth at various distances using cone-beam computed tomography (CBCT). Additionally, the diagnostic impacts of tube current and metal artifact reduction (MAR) were investigated. Materials and Methods: Thirty teeth were arranged within 10 phantoms, each containing 1 first premolar, 1 second premolar, and 1 second molar. A sound first molar (for the control group) or a tooth with a metal crown was placed. Of the 60 proximal surfaces evaluated, 15 were sound and 45 exhibited enamel caries. CBCT scans were acquired using an OP300 Maxio unit (Instrumentarium, Tuusula, Finland), while varying the tube current (4, 8, or 12.5 mA) and enabling or disabling MAR. Five observers assessed mesial and distal surfaces using a 5-point scale. Multi-way analysis of variance was employed for data comparison, with P<0.05 indicating statistical significance. Results: The area under the curve (AUC) varied from 0.40 to 0.60 (sensitivity: 0.28-0.45, specificity: 0.44-0.80). The diagnostic accuracy was not significantly affected by the presence of a metal crown, milliamperage, or MAR(P>0.05). However, the overall AUC and specificity were significantly lower for surfaces near a crown (P<0.05). Conclusion: CBCT-based caries detection was not influenced by the presence of a metal crown, variations in milliamperage, or MAR activation. However, the diagnostic accuracy was low and was further diminished for surfaces near a crown. Consequently, CBCT is not recommended for the detection of incipient caries lesions.

Development of a Diagnosis Model : The Capabilities Required by Software SMEs to Advance into Overseas Markets (진단 모델 개발에 관한 연구 : 소프트웨어 수출 특성 기반 중소기업 해외 진출 역량)

  • Choi, Do Yeon;Han, Chang Hee
    • Journal of Information Technology Services
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    • v.19 no.5
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    • pp.49-64
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    • 2020
  • Overseas expansion by small and medium-sized enterprises of the Korean software industry has been sluggish, with many SMEs lacking the necessary capabilities required for successful entry into the overseas markets. This study aims to identify the capabilities SMEs require to advance into overseas markets and develop a diagnosis model for evaluating overseas entry capability appropriate to the characteristics of SMEs. A basic research was first performed to gain a comprehensive understanding of the characteristics of the software industry, software exports, and SMEs. Based on this research, the study aimed to develop a model for diagnosing overseas entry capability of SMEs by dividing the required overseas entry capability into globalization capability in product area and internal competence from a resource-based perspective. In addition, This study aims to contribute to the success of SMEs in overseas markets by presenting a diagnosis model that evaluates the capabilities required to advance into overseas markets.

A Study on Analysis of Defects cause for Rotor in the High Voltage Induction Motors (고압유도전동기의 회전자 결함요인 분석에 관한 연구)

  • Lee, Eun-Chun;Byun, Doo-gyoon;Chae, Ji-Seog;Byun, Ill-Hwan
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.655-656
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    • 2015
  • In this paper, diagnosis for 85 high voltage induction motors which have operated for more than 20 years in 18 wide area water supply offices were applied and the results of diagnosis were analysed. Furthermore, main factors that would be affecting rotor defects were selected and correlations between dependent variables which was magnitude for sideband frequency on current during operation and independent variables such as starting characteristic, operating time, number of operation, load factor, maker, rotation speed, capacity were analysed. It was clear that factors including starting characteristic, number of operation, maker, rotation speed caused break by correlation analysis. From this, regression equation was deduced through regression analysis. Based on suggested regression equation, it is applied usefully that we can estimate the condition of rotor without onsite diagnosis and plan the schedule of diagnosis.

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MSC8101 Platform Development for Wide Area Monitoring and Diagnosis (네트워크 프로세서(MSC8101)을 이용한 광역 감시 진단용 플랫폼 개발)

  • Jeon, Jin-Hong;Kim, Kwang-Su;Choi, Young-Kil;Kim, Kwang-Hwa
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.500-502
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    • 2003
  • In this paper, we have designed a platform with MSC8101 processor for networked converter monitoring and diagnosis. MSC8101 is a dual processor type SOC(System On a Chip), which is consist of 16bit DSP and 32bit RISK CPM. As it have DSP and CPM, MSC8101 is competent for networking and data processing application. This MSC8101 platform is designed for networked monitoring and diagnosis, so it is important processing ability and networking capability.

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Hybrid Feature Selection Method Based on Genetic Algorithm for the Diagnosis of Coronary Heart Disease

  • Wiharto, Wiharto;Suryani, Esti;Setyawan, Sigit;Putra, Bintang PE
    • Journal of information and communication convergence engineering
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    • v.20 no.1
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    • pp.31-40
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    • 2022
  • Coronary heart disease (CHD) is a comorbidity of COVID-19; therefore, routine early diagnosis is crucial. A large number of examination attributes in the context of diagnosing CHD is a distinct obstacle during the pandemic when the number of health service users is significant. The development of a precise machine learning model for diagnosis with a minimum number of examination attributes can allow examinations and healthcare actions to be undertaken quickly. This study proposes a CHD diagnosis model based on feature selection, data balancing, and ensemble-based classification methods. In the feature selection stage, a hybrid SVM-GA combined with fast correlation-based filter (FCBF) is used. The proposed system achieved an accuracy of 94.60% and area under the curve (AUC) of 97.5% when tested on the z-Alizadeh Sani dataset and used only 8 of 54 inspection attributes. In terms of performance, the proposed model can be placed in the very good category.

CLINICAL STUDY ON SUBMANDIBULAR MASSES (악하부종괴에 대한 임상적 연구)

  • Jang, Hyun-Seok;You, Jun-Young
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.18 no.4
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    • pp.701-705
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    • 1996
  • There are many kind of diagnostic entities in submandibular or neck masses, and we can set up treatment plan and estimate treatment result, prognosis by accurate diagnosis. By reasoning medical and dental history, physical examination, anatomical consideration of masses in submandibular or neck area, location of masses, laboratory and radiographic studies, we can formulate a clinical diagnosis or differential diagnosis. Although a clinical diagnosis might suffice in some instances, a definitive(microscopic) diagnosis is frequently required for proper treatment. In order to get some information about making accurate diagnosis and setting up appropriate treatment plan, we did clinical study and histopathologic classification of 82 patients who visited and were operated for submandibular masses at Department of Oral and Maxillofacial Surgery in Seoul National University Hospital from 1988 to 1992. The result were as follows : 1. Submandibular masses occured most frequently in forties and fifties, and there was no sex predilection. 2. Chief complaints were in order of mass, swelling, pain and consistency were soft mass, mobile hard mass, firm mass, diffuse swelling in descending order. 3. Most frequent pathologic finding was lymphadenitis. 4. Site of submandibular masses were submandible, neck, submental, retromandible in descending order, and there was no predilection between left and right side. 5. Accuracy rate between clinical impression and result was 51.2%.

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A Study on the Diagnosis Indicators and checklist for Urban Regeneration Projects by LH (LH형 도시재생사업 진단 지표 및 체크리스트 개발)

  • Park, Dong Sun;Lee, Young Eun;Kim, Ho Chang
    • Land and Housing Review
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    • v.9 no.2
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    • pp.1-7
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    • 2018
  • The purpose of this study is to suggest diagnosis indicators and checklist for urban regeneration projects by Korea Land & Housing Corporation(LH). There are already deprivation indices in the Urban Regeneration Act but not any additional guidelines in the practical aspect. In order to use the diagnosis indicators, the central government should supply more specific checklist to the actors in the regeneration field. The key actor of many stakeholders is LH as an operator and implementer in the regeneration projects. So far, LH has developed housing and cities and there haven't been any obvious changes to realize public benefit in the deteriorated area. From now on, It has to plan, implement, and manage a lot of regeneration projects entirely. Therefore, It is necessary to develope and apply the diagnosis indicators and checklist based on projects. This paper came up with the 6 factors related with LH business field : housing, urban infrastructure, public service, private service, environment, and smart city. For these, 32 diagnosis indicators and 72 checklists were selected that can include both physical and qualitative indicators. These can be used not only for the selection of regeneration projects but also for the process monitoring such as planning and implementation.

The diagnosis of sleep related breathing disorders and polysomnography (수면호흡장애의 진단과 수면다원검사)

  • Park, Ji Woon
    • The Journal of the Korean dental association
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    • v.53 no.4
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    • pp.238-248
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    • 2015
  • Sleep related breathing disorders(SRBDs) are a group of diseases accompanied by difficulties in respiration and ventilation during sleep. Central sleep apnea, obstructive sleep apnea(OSA), sleep-related hypoventilation, and hypoxemia disorder are included in this disease entity. OSA is known to be the most common SRBDs and studies show its significant correlation with general health problems including hypertension, arrhythmia, diabetes, and metabolic syndrome. The diagnostic process of OSA is composed of physical examinations of the head and neck area and also the oral cavity. Radiologic studies including cephalography, CT, MRI, and fluoroscopy assist in identifying the site of obstruction. However, polysomnography(PSG) is still considered the gold standard for the diagnosis of OSA since it offers both qualitative and quantitative recording of the events during a whole night's sleep. The dentist who is trained in sleep medicine can easily identify patients with the risk of OSA starting from simple questions and screening questionnaires. Diagnosis is the first step to treatment and considering the high rate of under-diagnosis for OSA the dentist may play a substantial role in the diagnosis and treatment of OSA which will eventually lead to the well-being of the patient as a whole person. So the objective of this article is to assist dental professionals in gaining knowledge and insight of the diagnostic measures for OSA including PSG.

Application of Joint Detection of AFP, CA19-9, CA125 and CEA in Identification and Diagnosis of Cholangiocarcinoma

  • Li, Yong;Li, Da-Jiang;Chen, Jian;Liu, Wei;Li, Jian-Wei;Jiang, Peng;Zhao, Xin;Guo, Fei;Li, Xiao-Wu;Wang, Shu-Guang
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.8
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    • pp.3451-3455
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    • 2015
  • Objective: To explore the application of joint detection of serum AFP, CA19-9, CA125 and CEA in identification and diagnosis of cholangiocarcinoma (CC). Materials and Methods: The levels of serum AFP, CA19-9, CA125 and CEA of both 30 patients with CC and 30 patients with hepatocellular carcinoma (HCC) were assessed. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic effects of single and joint detection of those 4 kinds of tumor markers for CC. Results: The levels of serum CA19-9, CA125 and CEA in CC patients were higher than that in HCC patients,whereas that of serum AFP was significantly lower s. The area under ROC curve of single detection of serum AFP, CA19-9, CA125 and CEA were 0.05, 0.86, 0.84 and 0.83, with the optimal cutoff values of 15.4 ng/ml, 125.1 U/ml, 95.7 U/ml and 25.9 ng/ml, correspondingly, and the percentage correct single diagnosis was <79%. With joint detection, the diagnostic effect of combined AFP, CA19-9, CA125 and CEA was the highest, with an area under the ROC curve of 0.94 (95%CI 0.88~0.99). Conclusions: Single detection of serum CA19-9, CA125 and EA is not meaningful. The sensitivity, specificity, the rate of correct diagnosis and the area under ROC curve of joint detection of AFP, CA19-9, CA125 and CEA are highest, indicating that the joint detection of these 4 tumor markers is of great importance in the diagnosis of CC.

THE USE OF POSTEROANTERIOR CEPHALOGRAM IN ORTHODONTICS (교정에서의 정모 두부 방사선 규격 사진의 이용)

  • Kim, Young Joon;Rhu, Young Kyu
    • The korean journal of orthodontics
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    • v.19 no.2
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    • pp.165-175
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    • 1989
  • In evaluation of some area within the craniofacial complex posteroanterior cephalogram together with lateral cephalogram is used for assessment of the exact existence and posture by grasping 3-dimensional concept. The usages of posteroanterior cephalogram in orthodontics are following; 1. The use during diagnosis and treatment planning 1) Assessment of the area and amount of facial asymmetry. 2) Assessment of therapeutic position for diagnosis and treatment 2. The Assessment of success in orthodontic mechanics If we use posteroanterior cephalogram together with lateral cephalogram adequately and simultaneously we can establish the exact diagnosis and appropriate treatment planning.

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