• Title/Summary/Keyword: Diagnostic validation

Search Result 169, Processing Time 0.021 seconds

Diagnostic Accuracy of Urease and Polymerase Chain Reaction to Detect Helicobacter Species Infection in Dogs (개에서 Helicobacter균 감염을 검출하기 위한 urease 검사와 PCR 검사의 진단적 정확도)

  • Pak, Son-Il;Oh, Tae-Ho
    • Journal of Veterinary Clinics
    • /
    • v.18 no.4
    • /
    • pp.329-333
    • /
    • 2001
  • Evaluation on the diagnostic performances of urease test and polymerase chain reaction (PCR) for detection of Helicobacter species infection in dogs has rarely been performed in research with site-specific situations, although assessing diagnostic tests is an essential part prior to its practical use in a variety of clinical settings. The clinical value of a diagnostic test may be misjudged and comparisons between different tests may yield misleading conclusions when high within-patient correlations are present. We applied a conceptually simple statistical approach to estimate the sensitivity and specificity of urease test and PCR for detection of Helicobacter species infection in dogs. This approach assumes that responses from three different sampling sites within an animal are correlated where unit for statistical analysis is the site rather than the animal. The sensitivity and specificity of urease test was 0.74% (95% confidence interval, 0.64-0.84) and 0.87 (95% CI, 0.67-1.00), respectively. For PCR, the sensitivity was 0.95(95% CI, 0.89-1.00) and specificity 0.90 (95% CI, 0.70-1.00). Two tests were almost equally specific. Urease test, however, has a lower diagnostic accuracy and thus should only be used after careful validation in terms of sensitivity.

  • PDF

Development of STEAM Diagnostic Evaluation Tool to Strengthen the Implementation of STEAM Education (STEAM 교육의 실행 강화를 위한 학교 STEAM 역량 진단 도구 개발)

  • Park, HyunJu;Sim, Jaeho;Lee, Ji-Ae;Lee, Youngtae
    • Journal of Science Education
    • /
    • v.45 no.3
    • /
    • pp.349-363
    • /
    • 2021
  • The purpose of this study is to develop an instrument for school STEAM education diagnostic assessment. Literature reviews, the developmental study of a prototype instrument, experts' advices, and pilot study were administrated. The school STEAM education diagnostic assessment was consist of five areas: 'STEM education action and sustainability plan,' 'STEAM curriculum and instruction,' 'STEAM professional development,' 'process-based evaluation,' and 'community and partnerships.' Each area had one to five sub-areas. A total of 14 diagnosis items were developed, including items that can diagnose the school's STEAM environment base and STEAM education execution level at the school unit and member level for each area. The validation of the diagnostic assessment was conducted through the content validity of the expert group and the validity of a survey targeting school teachers. For applying the instrument for STEAM Education School Assessment to schools, a total of 267 elementary, middle, and high schools participated. As a result, the average of the five areas was 1.46 to 2.18. This instrument comprehensively diagnoses and evaluates the implementation and effectiveness of STEAM education in schools, and is expected to be used as basic data and core data for implementing STEAM education.

Diagnostic Performance of the Modified Korean Thyroid Imaging Reporting and Data System for Thyroid Malignancy: A Multicenter Validation Study

  • Sae Rom Chung;Hye Shin Ahn;Young Jun Choi;Ji Ye Lee;Roh-Eul Yoo;Yoo Jin Lee;Jee Young Kim;Jin Yong Sung;Ji-hoon Kim;Jung Hwan Baek
    • Korean Journal of Radiology
    • /
    • v.22 no.9
    • /
    • pp.1579-1586
    • /
    • 2021
  • Objective: To evaluate the diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System (K-TIRADS), and compare it with the 2016 version of K-TIRADS using the Thyroid Imaging Network of Korea. Materials and Methods: Between June and September 2015, 5708 thyroid nodules (≥ 1.0 cm) from 5081 consecutive patients who had undergone thyroid ultrasonography at 26 institutions were retrospectively evaluated. We used a biopsy size threshold of 2 cm for K-TIRADS 3 and 1 cm for K-TIRADS 4 (modified K-TIRADS 1) or 1.5 cm for K-TIRADS 4 (modified K-TIRADS 3). The modified K-TIRADS 2 subcategorized the K-TIRADS 4 into 4A and 4B, and the cutoff sizes for the biopsies were defined as 1 cm for K-TIRADS 4B and 1.5 cm for K-TIRADS 4A. The diagnostic performance and the rate of unnecessary biopsies of the modified K-TIRADS for detecting malignancy were compared with those of the 2016 K-TIRAD, which were stratified by nodule size (with a threshold of 2 cm). Results: A total of 1111 malignant nodules and 4597 benign nodules were included. The sensitivity, specificity, and unnecessary biopsy rate of the benign nodules were 94.9%, 24.4%, and 60.9% for the 2016 K-TIRADS; 91.0%, 39.7%, and 48.6% for the modified K-TIRADS 1; 84.9%, 45.9%, and 43.5% for the modified K-TIRADS 2; and 76.1%, 50.2%, and 40.1% for the modified K-TIRADS 3. For small nodules (1-2 cm), the diagnostic sensitivity of the modified K-TIRADS decreased by 5.2-25.6% and the rate of unnecessary biopsies reduced by 19.2-32.8% compared with those of the 2016 K-TIRADS (p < 0.001). For large nodules (> 2 cm), the modified K-TIRADSs maintained a very high sensitivity for detecting malignancy (98%). Conclusion: The modified K-TIRADSs significantly reduced the rate of unnecessary biopsies for small (1-2 cm) nodules while maintaining a very high sensitivity for malignancy for large (> 2 cm) nodules.

On-line Performance Calculation Module of IGCC Power Plant (IGCC 온라인 성능계산 모듈)

  • Joo, Yong-Jin;Kim, Si-Moon;Lee, Min-Chul;Chung, Jae-Hwa
    • 한국신재생에너지학회:학술대회논문집
    • /
    • 2008.05a
    • /
    • pp.364-367
    • /
    • 2008
  • This present paper describes concepts of the real-time operation monitoring system as a tool for enhancing the reliability and raising the availability of the first Korea IGCC (Integrated Gasification Combined Cycle) power plant. This system consists of five (5) modules : (1) Data Validation Module, (2) Performance Calculation Module (3) Performance Diagnostic Module, (4) Trip Information Module, and (5) Statistics Analysis Module. Among these modules, Performance Calculation Module is explained in more detail. The objective of this module is to continuously evaluate the degradation (decrease in performance) of the IGCC plant and its equipment in order to provide plant operators additional information to help them identify problems, improve performance.

  • PDF

Noninvasive diagnosis of pediatric nonalcoholic fatty liver disease

  • Yang, Hye Ran
    • Clinical and Experimental Pediatrics
    • /
    • v.56 no.2
    • /
    • pp.45-51
    • /
    • 2013
  • Because nonalcoholic steatohepatitis can progress towards cirrhosis even in children, early detection of hepatic fibrosis and accurate diagnosis of nonalcoholic fatty liver disease (NAFLD) are important. Although liver biopsy is regarded as the gold standard of diagnosis, its clinical application is somewhat limited in children due to its invasiveness. Noninvasive diagnostic methods, including imaging studies, biomarkers of inflammation, oxidative stress, hepatic apoptosis, hepatic fibrosis, and noninvasive hepatic fibrosis scores have recently been developed for diagnosing the spectrum of NAFLD, particularly the severity of hepatic fibrosis. Although data and validation are still lacking for these noninvasive modalities in the pediatric population, these methods may be applicable for pediatric NAFLD. Therefore, noninvasive imaging studies, biomarkers, and hepatic fibrosis scoring systems may be useful in the detection of hepatic steatosis and the prediction of hepatic fibrosis, even in children with NAFLD.

Deep-Learning-Based Molecular Imaging Biomarkers: Toward Data-Driven Theranostics

  • Choi, Hongyoon
    • Progress in Medical Physics
    • /
    • v.30 no.2
    • /
    • pp.39-48
    • /
    • 2019
  • Deep learning has been applied to various medical data. In particular, current deep learning models exhibit remarkable performance at specific tasks, sometimes offering higher accuracy than that of experts for discriminating specific diseases from medical images. The current status of deep learning applications to molecular imaging can be divided into a few subtypes in terms of their purposes: differential diagnostic classification, enhancement of image acquisition, and image-based quantification. As functional and pathophysiologic information is key to molecular imaging, this review will emphasize the need for accurate biomarker acquisition by deep learning in molecular imaging. Furthermore, this review addresses practical issues that include clinical validation, data distribution, labeling issues, and harmonization to achieve clinically feasible deep learning models. Eventually, deep learning will enhance the role of theranostics, which aims at precision targeting of pathophysiology by maximizing molecular imaging functional information.

ILL-CONDITIONING IN LINEAR REGRESSION MODELS AND ITS DIAGNOSTICS

  • Ghorbani, Hamid
    • The Pure and Applied Mathematics
    • /
    • v.27 no.2
    • /
    • pp.71-81
    • /
    • 2020
  • Multicollinearity is a common problem in linear regression models when two or more regressors are highly correlated, which yields some serious problems for the ordinary least square estimates of the parameters as well as model validation and interpretation. In this paper, first the problem of multicollinearity and its subsequent effects on the linear regression along with some important measures for detecting multicollinearity is reviewed, then the role of eigenvalues and eigenvectors in detecting multicollinearity are bolded. At the end a real data set is evaluated for which the fitted linear regression models is investigated for multicollinearity diagnostics.

A Review on Impedance Cardiography and Its Oriental Medical Application (한의학적 활용을 위한 임피던스 심장기록법의 연구동향)

  • Ko, Young-Il;Lee, Hyon-Soo;Park, Young-Jae;Park, Young-Bae
    • The Journal of the Society of Korean Medicine Diagnostics
    • /
    • v.10 no.2
    • /
    • pp.67-78
    • /
    • 2006
  • Objectives : To review the method, validity and reliability of Impedance Cardiography and to study its oriental medical application. Method : The papers reviewed in this study were searched through internet search engines such as Springer, Science Direct, and China National Knowledge Infrastructure. Conclusion : In this study, the methodological limitations, validity and reliability of impedance cardiography were examined. Impedance Cardiography is recognized as a highly accurate non-invasive tool to assess hemodynamic parameters. The ability of impedance cardiography to assess hemodynamic parameters in non-invasive way is very suitable for researches on the effect of oriental medical therapeutics or the validation of oriental medical diagnostic.

  • PDF

Good manufacturing practice of radiopharmaceuticals in Korea

  • Oh, Seung Jun
    • Journal of Radiopharmaceuticals and Molecular Probes
    • /
    • v.1 no.2
    • /
    • pp.98-103
    • /
    • 2015
  • Good manufacturing Practice (GMP) regulation for diagnostic and therapeutic radiopharmaceuticals was prepared at 2014. The mandatory GMP regulation becomes effective on $1^{st}$, July 2015,with two years of grace periods. Korean radiopharmaceuticals GMP regulation was consisted of quality management, personnel, premise and facility, documentation, production, quality control and self-audit and they have a very similar structure to European Union and PIC/S GMP regulation. Here, we describe detailed description of GMP regulation each part and application to radiopharmaceuticals production. And we also compare Korea, Japan and USA radiopharmaceuticals GMP regulation. GMP is a method to maintain quality of radiopharmaceuticals in daily production and it must be embedded on the manufacturing operation and management.

Development and Validation of 18F-FDG PET/CT-Based Multivariable Clinical Prediction Models for the Identification of Malignancy-Associated Hemophagocytic Lymphohistiocytosis

  • Xu Yang;Xia Lu;Jun Liu;Ying Kan;Wei Wang;Shuxin Zhang;Lei Liu;Jixia Li;Jigang Yang
    • Korean Journal of Radiology
    • /
    • v.23 no.4
    • /
    • pp.466-478
    • /
    • 2022
  • Objective: 18F-fluorodeoxyglucose (FDG) PET/CT is often used for detecting malignancy in patients with newly diagnosed hemophagocytic lymphohistiocytosis (HLH), with acceptable sensitivity but relatively low specificity. The aim of this study was to improve the diagnostic ability of 18F-FDG PET/CT in identifying malignancy in patients with HLH by combining 18F-FDG PET/CT and clinical parameters. Materials and Methods: Ninety-seven patients (age ≥ 14 years) with secondary HLH were retrospectively reviewed and divided into the derivation (n = 71) and validation (n = 26) cohorts according to admission time. In the derivation cohort, 22 patients had malignancy-associated HLH (M-HLH) and 49 patients had non-malignancy-associated HLH (NM-HLH). Data on pretreatment 18F-FDG PET/CT and laboratory results were collected. The variables were analyzed using the Mann-Whitney U test or Pearson's chi-square test, and a nomogram for predicting M-HLH was constructed using multivariable binary logistic regression. The predictors were also ranked using decision-tree analysis. The nomogram and decision tree were validated in the validation cohort (10 patients with M-HLH and 16 patients with NM-HLH). Results: The ratio of the maximal standardized uptake value (SUVmax) of the lymph nodes to that of the mediastinum, the ratio of the SUVmax of bone lesions or bone marrow to that of the mediastinum, and age were selected for constructing the model. The nomogram showed good performance in predicting M-HLH in the validation cohort, with an area under the receiver operating characteristic curve of 0.875 (95% confidence interval, 0.686-0.971). At an appropriate cutoff value, the sensitivity and specificity for identifying M-HLH were 90% (9/10) and 68.8% (11/16), respectively. The decision tree integrating the same variables showed 70% (7/10) sensitivity and 93.8% (15/16) specificity for identifying M-HLH. In comparison, visual analysis of 18F-FDG PET/CT images demonstrated 100% (10/10) sensitivity and 12.5% (2/16) specificity. Conclusion: 18F-FDG PET/CT may be a practical technique for identifying M-HLH. The model constructed using 18F-FDG PET/CT features and age was able to detect malignancy with better accuracy than visual analysis of 18F-FDG PET/CT images.