• Tuberculosis and Respiratory Diseases
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• v.87 no.1
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• pp.91-99
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• 2024

Background: Tuberculous pleural effusion (TPE) and parapneumonic effusion (PPE) are often difficult to differentiate owing to the overlapping clinical features. Observational studies demonstrate that the ratio of lactate dehydrogenase to adenosine deaminase (LDH/ADA) is lower in TPE compared to PPE, but integrated analysis is warranted. Methods: We conducted a systematic review to evaluate the diagnostic accuracy of the LDH/ADA ratio in differentiating TPE and PPE. We explored the PubMed and Scopus databases for studies evaluating the LDH/ADA ratio in differentiating TPE and PPE. Results: From a yield of 110 studies, five were included for systematic review. The cutoff value for the LDH/ADA ratio in TPE ranged from <14.2 to <25. The studies demonstrated high heterogeneity, precluding meta-analysis. Quality Assessment of Diagnostic Accuracy Studies Tool 2 assessment revealed a high risk of bias in terms of patient selection and index test. Conclusion: LDH/ADA ratio is a potentially useful parameter to differentiate between TPE and PPE. Based on the limited data, we recommend an LDH/ADA ratio cutoff value of <15 in differentiating TPE and PPE. However, more rigorous studies are needed to further validate this recommendation.

• Clinical and Experimental Pediatrics
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• v.62 no.6
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• pp.217-223
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• 2019

Purpose: To determine the diagnostic value of eosinopenia and the neutrophil-to-lymphocyte ratio (NLR) in the diagnosis of early onset neonatal sepsis (EONS). Methods: This cross-sectional study was conducted in the Neonatology Ward of R.D. Kandou General Hospital Manado between July and October 2017. Samples were obtained from all neonates meeting the inclusion criteria for EONS. Data were encoded using logistic regression analysis, the point-biserial correlation coefficient, chi-square test, and receiver operating characteristic curve analysis, with a P value <0.05 considered significant. Results: Of 120 neonates who met the inclusion criteria, 73 (60.8%) were males and 47 (39.2%) were females. Ninety (75%) were included in the sepsis group and 30 (25%) in the nonsepsis group. The mean eosinophil count in EONS and non-EONS groups was $169.8{\pm}197.1cells/mm^3$ and $405.7{\pm}288.9cells/mm^3$, respectively, with statistically significant difference (P<0.001). The diagnostic value of eosinopenia in the EONS group (cutoff point: $140cells/mm^3$) showed 60.0% sensitivity and 90.0% specificity. The mean NLR in EONS and non-EONS groups was $2.82{\pm}2.29$ and $0.82{\pm}0.32$, respectively, with statistically significant difference (P<0.001). The diagnostic value of NLR in the EONS group (cutoff point, 1.24) showed 83.3% sensitivity and 93.3% specificity. Conclusion: Eosinopenia has high specificity as a diagnostic marker for EONS and an increased NLR has high sensitivity and specificity as a diagnostic marker for EONS.

• 대한예방의학회:학술대회논문집
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• 1994.02b
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• pp.154-157
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• 1994

The evaluation of diagnostic tests attempts to obtain one or more statistical parameters which can indicate the intrinsic diagnostic utility of a test. Sensitivity. specificity and predictive value are not appropriate for this use. The likelihood ratio has been proposed as a useful measure when using a test to diagnose one of two disease states (e.g. disease present or absent). In this paper, we generalize the likelihood ratio concept to a situation in which the goal is to diagnose one of several non-overlapping disease states. A formula is derived to determine the post-test probability of a specific disease state. The post-test odds are shown to be related to the pre-test odds of a disease and to the usual likelihood ratios derived from considering the diagnosis between the target diagnosis and each alternate in turn. Hence, likelihood ratios derived from comparing pairs of diseases can be used to determine test utility in a multiple disease diagnostic situation.

• The Korean Journal of Nuclear Medicine
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• v.15 no.2
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• pp.43-51
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• 1981

In an attempt to evaluate the diagnostic significance of the serum thyroxine binding globulin (TBG) in various thyroid disease states, the authors measured serum $T_3$ uptake, $T_3$, total $T_4\;free\;T_4$, TSH and TBG by radioimmunoassay technique, and calculated the free $T_4$ index$(FT_4I)$ and $T_4/TBG$ ratio in 10 cases of normal subjects, 11 cases of hypothyroidism, 62 cases of euthyroidism and 37 cases of hyperthyroidism. The data were analysed in the aspects of diagnostic significance in each thyroid disease state, and the results were as follows; 1. In 10 cases of normal subjects, serum TBG was $17.4\sim26.8{\mu}g/ml$, $FT_4I$ was $5.1\sim9.7$, and $T_4/TBG$ ratio was $21.9\sim49.9(Mean{\pm}S.D.)$. 2. In 62 cases of euthyroidism with diffuse and nodular goiter, $FT_4I$ was $7.26{\pm}1.82,\;T_4/TBG$ ratio was $31.47{\pm}10.42$, and there were no significant difference from those of normal subjects (p>0.5). 3. In 11 cases of hypothyroidism, the $FT_4I$ was $3.13{\pm}2.15,\;T_4/TBG$ ratio was $11.3{\pm}5.31$, significantly lower than normal controls (p<0.01). 4. In 37 cases of hyperthyroidism, the $FT_4I$ was $30.0{\pm}12.0,\;T_4/TBG$ ratio was $121.4{\pm}62.2$, significantly higher than normal controls (p<0.01). 5. There were significant correlations between the $FT_4I$ and $T_4/TBG$ ratio, total $T_4\;and\;T_4/TBG$ ratio, in each thyroid function states. 6. The $FT_4I$ showed 100% of diagnostic value in hyperthyroidism, 89.2% in euthyroidism, and 80% in hypothyroidism group. The $T_4/TBG$ ratio showed 100% of diagnostic value in hyperthyroidism and hypothyroidism, and 80.6% in euthyroidism group. The above results suggest that $T_4/TBG$ ratio and $FT_4I$ showed same diagnostic value in hyperthyroidism group, but $T_4/TBG$ showed higher diagnostic significance than $FT_4I$ in hypothyroidism.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.66 no.4
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• pp.194-199
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• 2017

Power transformers are an important factor for power transmission and cause fatal losses if faults occur. Various diagnostic methods have been applied to predict the failure and to identify the cause of the failure. Typical diagnostic methods include the IEC diagnostic method, the Duval diagnostic method, the Rogers diagnostic method, and the Doernenburg diagnostic method using the ratio of the main gas. However, each diagnostic method has a disadvantage in that it can't diagnose the state of the power transformer unless the gas ratio is within the defined range. In order to solve these problems, we propose a diagnosis method using ELM based intelligent algorithm and fuzzy membership function. The final diagnosis is performed by multiplying the result of diagnosis in the four diagnostic methods (IEC, Duval, Rogers, and Doernenburg) by the fuzzy membership values. To show its effectiveness, the proposed fault diagnostic system has been intensively tested with the dissolved gases acquired from various power transformers.

• Proceedings of the KSMRM Conference
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• 2001.11a
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• pp.108-108
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• 2001

Purpose： To correlate the histological differentiation of hepatocellular carcinomas (HCCs) with finding on triple contrast-enhanced MR imaging using gadolinium-chelates, superparamganetic ire oxides (SPIO), and mangafodipir trisodium. Method： Ten patients with proven HCC underwent triple contrast-enhanced MRI befo surgical resection. Subjective ratings of the enhancement pattern and degree were compare with the histological grades determined on surgical specimen. Quantitative measurements signal-to-noise ratio (S/N) of the lesion and the lesion-to-liver contrast-to-noise ratio C/N on the enhanced MR images, and the degree of S/N and C/N changes between the unenhanced and enhanced images were also correlated with the histological grades.

• The Korean Journal of Nuclear Medicine
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• v.24 no.2
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• pp.293-298
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• 1990

We performed 17 intraarterial scintigraphies in six patients with recurrent cervix cancer. With Seldinger method, the agent (four different radiopharmaceuticals) was perfused at the same speed of infusion of anticancer drugs (25 cc/hour) through internal iliac artery. There were four different radiopharmaceuticals; I-131-Lipiodol, Tc (Technetium)-99m-HSa (Human Serum Albumin), $^{99m}Tc-Sucralfate$ and $^{99m}Tc-MAA$ (Macroaggraegated Albumin). We evaluate the distribution pattern of radioactivity by the use of ratio of Tumor/Extratumor uptake (T/ET ratio). Our results reveals that $^{99m}Tc-MAA$ scan showed the highest T/ET ratio and the other were not ideal agents for intraarterial therapy of recurrent cervix cancer. In conclusion, an ideal radioisotope and tracer which can block capillary, for example MAA, should be re-evaluated or produced in order to treat the patient with recurrent cervix cancer.

• Journal of radiological science and technology
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• v.19 no.1
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• pp.75-79
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• 1996

• Proceedings of the KSMRM Conference
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• 1997.10a
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• pp.12-12
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• 1997

• Journal of Electrical Engineering and Technology
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• v.11 no.2
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• pp.499-507
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• 2016

Medical imaging techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultrasound (US) produce a large amount of digital medical images. Hence, compression of digital images becomes essential and is very much desired in medical applications to solve both storage and transmission problems. But at the same time, an efficient image compression scheme that reduces the size of medical images without sacrificing diagnostic information is required. This paper proposes a novel threshold-based medical image compression algorithm to reduce the size of the medical image without degradation in the diagnostic information. This algorithm discusses a novel type of thresholding to maximize Compression Ratio (CR) without sacrificing diagnostic information. The compression algorithm is designed to get image with high optimum compression efficiency and also with high fidelity, especially for Peak Signal to Noise Ratio (PSNR) greater than or equal to 36 dB. This value of PSNR is chosen because it has been suggested by previous researchers that medical images, if have PSNR from 30 dB to 50 dB, will retain diagnostic information. The compression algorithm utilizes one-level wavelet decomposition with threshold-based coefficient selection.