• Biomedical Science Letters
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• v.27 no.1
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• pp.28-34
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• 2021

The main cause of cervical cancer is a persistent infection with high-risk human papillomavirus (HR-HPV). Cervical cancer is reported as a preventable cancer in more than 80% of cases with early diagnosis and appropriate treatment. Papanicolaou test (Pap test) has been a global strategy to prevent cervical cancer, and recently, HPV test has been reported to be effective against cervical cancer and precancerous lesions. However, pelvic examinations give patients anxiety, discomfort, pain, distress, and psychological stress. HPV test via a urine sample caused less physical and psychological stress and more advantage than the Pap test. Therefore, it is necessary to study the usefulness of the HPV test for easy-to-collect urine samples. A total of 220 samples were collected from a pair of cervical and urine samples from 110 women and only 108 pairs of samples out of 110 were used because 2 cases were not amplified by β-globin. Among 108 pairs of cervical and urine samples, the prevalence of HPV was 37.0% (40/108) in cervical samples, 34.3% (37/108) in urine samples and HR-HPV was 22.2% (24/108) in cervical samples, 18.5% (20/108) in urine samples. In this study, urine samples showed a lower positive rate of HPV than cervical samples. There were many variables that could affect the condition of the urine sample. However, the HR-HPV agreement rate of the cervix and urine samples was 94.44% and the Kappa value was 0.823, which was "almost perfect". Through these results showed the significance of cervical cancer screening using a urine sample. Cervical screening is crucial, as cervical cancer can be prevented in more than 90% of cases. Urine samples collected by non-invasive methods may have the potential advantage of increasing acceptance of cervical cancer screening. Therefore, it is necessary to develop a new cervical cancer screening strategy using urine samples through further study based on the results of this study.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.1
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• pp.13-23
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• 2015

Recently, a few image-processing based mobile urine testers have actively been studied since the urine-analysis result can be available to the user in real time immediately after the test is done. However, the accuracy of test result can be severely degraded due to variable illumination environments and a variety of manners to capture the image with a camera embedded in the smartphone according to different users. This paper proposes the Check4Urine system, a novel smartphone-based portable urine-analysis tester and provides three techniques to improve such a performance degradation problem robust to various test environments and disturbances, which are the compensation algorithm to correct the varying illumination effect, an urine strip detection algorithm robust to edge loss of the object image, and the color decision algorithm based on the pre-processed reference table. Experimental results show that the proposed Check4Urine system increases the accuracy of urine-analysis by 20-50% at various test conditions, compared with the existing image-processing based mobile urine tester.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1394-1397
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• 2020

The urine test used as a basic test method of in vitro diagnosis for health care has been used for a long time to be simple and convenient. The urine test method is using a color that appears depending on the change in the ion concentration that reacts over time buried in the standard color test paper(Strips) with a urine sample applied to some reaction reagents. In this paper, it was proposed a neural network algorithm to obtain a suitable and reproducibility and accuracy classifier suitable for the urine analysis system. The experimental results were compared with the visual colorimetric analysis, and the neural network algorithm showed better results.

• Journal of Yeungnam Medical Science
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• v.8 no.1
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• pp.42-52
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• 1991

Two types of urine dipstick assays, Multistix-SG and Combur-9-test RL, were compared for compatibility, accuracy, specificity and predictive values of a positive and negative test in 501 patients urine and artificially prepared specimen. We found that the results of semiquantitative tests of Multistix-SG and Combur-9-Test RL performed were statistically similar in patients specimen. The urinary leukocyte estrase tests of Combur-9-Test RL assays compared with urine sediment microscopy in regard to compatibility, sensitivity, specificity, and predictive values of a positive and negative test 83.7%, 48.1%, 90.3%, 47.4% and 90.1%, respectively. The urinar nitrite tests of Comber-9-Test RL assays compared with urine culture tests, in regard to compatibility, sensitivity, specificity, and predictive values of a positive and negative tests were 90.3%, 19.4%, 84.7%, 53.8% and 94.1%, respectively. For the urinary protein, the sulfosalicylic acid method was the most sensitive test for any kinds of protein, and Multistix-SG appeared more sensitive than Compur-9-Test RL for the albuminuria. For the urinary bilirubin and glusose, two dipstick assays were similar in their diganostic efficiency. Finally in the urinary occult blood tests, Combur-9-Test RL assays was more sensitive than Multistix-SG.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.41-46
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• 2023

Human urine is a process of excreting waste products in the blood, and it is easy to collect and contains various substances. Urinalysis is used to check for diseases, health conditions, and urinary tract infections. There are three methods of urinalysis: physical property test, chemical test, and microscopic test, and chemical test results can be easily confirmed using urine test strips. A variety of items can be tested on the urine test strip, through which various diseases can be identified. Recently, with the spread of smart phones, research on reading urine test strips using smart phones is being conducted. There is a method of detecting and reading the color change of a urine test strip using a smartphone. This method uses the RGB values and the color difference formula to discriminate. However, there is a problem in that accuracy is lowered due to various environmental factors. This paper applies a deep learning model to solve this problem. In particular, color discrimination of a urine test strip is improved in a smartphone using a lightweight CNN (Convolutional Neural Networks) model. CNN is a useful model for image recognition and pattern finding, and a lightweight version is also available. Through this, it is possible to operate a deep learning model on a smartphone and extract accurate urine test results. Urine test strips were taken in various environments to prepare deep learning model training images, and a urine test service application was designed using MobileNet V3.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1319-1325
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• 2006

Urine analysis is basic test in clinical medicine using visual examination by expert nurse. Recently, this test is measured by automatic urine analysis system. But, this system has different results by each instrument. So, a new classification algorithm is required for accurate classify and urine color collection. In this paper, a intelligent color classifier of urine analysis system was designed using neural network algorithm. The input parameters are three stimulus(RGB) after preprocessing using normalization. The fuzzy inference and neural network ware constructed for classify class according to 9 urine test items and $3{\sim}7$ classes. The experiment material to be used a standard sample of medicine. The possibility to adapt classifier designed for urine analysis system was verified as classifying measured standard samples and observing classified result. Of many test items, experimental results showed a satisfactory agreement with test results of reference system.

• Journal of Sasang Constitutional Medicine
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• v.20 no.2
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• pp.129-134
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• 2008

1. Objectives The primary purpose of this case study is to report that a Soeumin Mang-yang Syndrome with redness of urine and urination difficulty was treated with 'Soeumin Seungyangikgibuja-tang(升陽益氣附子湯)(SIBT)' and then his symptoms, laboratory test(urine) and urine color improved. 2. Methods The patient has the symptoms including redness of urine, discomfort after urinating, general body sweating, constipation and thirst. We diagnosed him as Soeumin Mang-yang Syndrome. So we treated him with 'SIBT(升陽益氣附子湯)'. 3. Results and Conclusions After the constitutional treatment with SIBT(升陽益氣附子湯) on Soeumin Mang-yang Syndrome patient, his symptoms and laboratory test(urine) improved and urine color was clear. 'SBIT(升陽益氣附子湯)' is considered to be effective in Soeumin Mang-yang Syndrome. The change of urine color can be good evidence for the symtoms of Mang-yang Syndrome is improved.

• Journal of Veterinary Clinics
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• v.13 no.2
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• pp.153-157
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• 1996

Ketosis can exist in both clinicla and subclinical forms. Detection of the subclinical form of ketosis by the use of a nitroprusside based test powder gas been shown to be a relatively simple and reliable procedure. Howere, very liffle is known about the indcidence or prevalence of the subclinical ketosis in Korea. In the present study, samples of urine taken from 288 dairy cows in Chonnam area were examined to demonstrate the presence of ketone bodies, using ross test. All the cows were within 4 weeks either before or after parturition. The gerd size was from 10 to more than 100 cows, and the cows did not show any clinical signs of ketosis. Of the 288 cows, 85 (29.5%) were positive to Ross test; of the positive cases 42.4% were +, 44.7% were ++, and the remaining 12.9% were +++. The prevalence increased from 3rd parity, peaked at 6th parity and thereafter decreased. The prevalence was higher after parturition than before parturition, with the highest occurrence during the 2nd week after calving. The prevalence was higher during winter. Also cows kept indoor throughout the year showed higher occurrence of the subclinical ketosis. The subclinical ketosis did not affect the specific gravity of the urine; however, increasing amount of ketone bodies in the urine decreased the pH of urine.

• The Korean Journal of Cytopathology
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• v.17 no.1
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• pp.18-26
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• 2006

Transitional cell carcinoma of the urinary bladder is common in the genitourinary tract. The gold standard for the diagnosis of bladder cancer has been cystoscopy, along with urine cytology. Cystoscopy is an invasive and relatively expensive technique. By comparison, urine cytology is easy to perform and specific for a diagnosis of bladder cancer, although less sensitive, especially in low-grade tumors. For this reason, there has been a need for superior noninvasive technology to increase our confidence in being able to detect bladder cancer. There are many reports of the various urinary tests that are available to facilitate the diagnosis. In this article, I reviewed the literature on urinary markers and tests that may be clinically useful, including fluorescence in situ hybridization, uCyt+/Immunocyte, the $BTA^{(R)}$ test, the NMP 22TM, the $FDP^{(R)}$ test, the telomerase activity test, the HA and HAse tests, and flow cytometry. Most of these tests have a higher sensitivity and specificity than cytology. However, urine cytology has the highest specificity, especially in individuals with a high-grade tumor. We conclude that no urinary markers or tests can replace the role of cystoscopy along with cytology in the diagnosis of transitional cell carcinoma of the bladder. However, some markers could be used adjunctively to increase the diagnostic accuracy during screening or during the postoperative follow-up examination of patients with bladder cancer.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.619-628
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• 2022

In general, as a method to confirm a urinary tract infection (UTI) in a medical institutions, urine culture including a urinalysis and an antimicrobial susceptibility test is performed. It is important to disinfect the area around the urethra and perineum before collecting urine samples, and it is important to collect it intermediate urine, not the first-void urine. We invented a patent urine cup (Patent No. 10-1732843) that can automatically and easily separate first-void urine and midstream urine and using this, the patent cup and the general cup were compared and evaluated using this. Nitrite (P<0.001), WBC (P=0.005), Bacterial colony count (P=0.001), colony positivity rate (P=0.004) in first-void urine (N=24), midstream urine (N=24) separated by patent cup to obtain a significantly higher value. This can be seen from the fact that the first-void urine and midstream urine separated using the patent cup were well separated. Also, the number of Bacterial colonies was statistically significantly higher in the midstream urine isolated using a patent cup (N=24) than in the midstream urine collected using a general cup (N=24) (average 7.9 vs. 4.0 on average, P= 0.002). Which means that the midstream urine separated using the patent cup is more sensitive to the UTI test than the midstream urine collected using a general cup.