• Korean Journal of Radiology
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• v.21 no.1
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• pp.15-24
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• 2020

Mammography is the primary screening method for breast cancers. However, the sensitivity of mammographic screening is lower for dense breasts, which are an independent risk factor for breast cancers. Automated breast ultrasound (ABUS) is used as an adjunct to mammography for screening breast cancers in asymptomatic women with dense breasts. It is an effective screening modality with diagnostic accuracy comparable to that of handheld ultrasound (HHUS). Radiologists should be familiar with the unique display mode, imaging features, and artifacts in ABUS, which differ from those in HHUS. The purpose of this study was to provide a comprehensive review of the clinical significance of dense breasts and ABUS screening, describe the unique features of ABUS, and introduce the method of use and interpretation of ABUS.

• Journal of Korean Institute of Industrial Engineers
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• v.21 no.3
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• pp.387-396
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• 1995

For situations where there are several markets with different profit/cost structures, an economic two-sided screening procedure using a correlated variable is developed. It is assumed that the performance variable and the screening variable are jointly normally distributed. A profit model is constructed which involves selling price, cost incurred by imperfect quality, and screening inspection cost. Methods of finding the optimal screening procedure are presented and numerical examples are given.

• Journal of Korean Society for Quality Management
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• v.29 no.3
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• pp.124-137
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• 2001

In general, it is very efficient and effective to use screening variables that are correlated with the performance variable in case that measuring the performance variable is impossible (destructive) or expensive. The general methodology for searching surrogate variables is regression analysis. This paper considers the inspection problem in CRT (Cathode Ray Tube) production line, in which the performance variable (dependent variable) is binary type and screening variables are continuous. The general regression with dummy variable, discriminant analysis and binary logistic regression are considered. The cost model is also formulated to determine economically inspection procedure with screening variables.

• The Plant Pathology Journal
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• v.17 no.6
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• pp.366.4-367
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• 2001

• Clinical and Experimental Pediatrics
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• v.51 no.6
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• pp.559-563
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• 2008

The government neonatal screening program has a 17-years history. Therefore, it can now provide information on the prevalence of endocrine and metabolic diseases which included in neonatal screening. Knowledge of the prevalence of metabolic diseases is very important with these results, the most effective screening methods can be determined and diseases can be identified that should be added to neonatal screening. For these purposes regular follow-up of patients with metabolic diseases and quality assuarance are also needed.

• Journal of Korean Society for Quality Management
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• v.22 no.1
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• pp.142-151
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• 1994

Optimum screening procedures using prior information are presented. An optimal cutoff value on the screening variable X minimizing the expected total cost is obtained for the normal model; it is assumed that a continuous screening variable X given a dichotomous performance variable T is normally distributed and that costs are incurred by screening inspection and misclassification errors. Methods for finding optimal cutoff values based on the prior distributions for unknown parameters are presented.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2000.10a
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• pp.20.2-20
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• 2000

• Proceedings of the Korean Society of Plant Pathology Conference
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• 1999.04a
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• pp.28.1-28
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• 1999

• Proceedings of the Korean Society of Plant Pathology Conference
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• 1999.10a
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• pp.16.1-16
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• 1999

• Proceedings of the Korean Society of Plant Pathology Conference
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• 1999.10a
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• pp.50.2-50
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• 1999