• The Journal of the Acoustical Society of Korea
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• v.38 no.4
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• pp.476-484
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• 2019

Photoacoustic imaging is a hybrid real-time imaging technique that combines high optical contrast and ultrasonic resolution. It has primarily been utilized in pre-clinical research and has evolved into clinical practice. In this paper, we review photoacosutic imaging for detection of primary canccer and metastatis and its limitation in translation from pre-clinical to clinical application.

• Journal of the Korean Society of Systems Engineering
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• v.17 no.2
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• pp.91-97
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• 2021

User interface for cancer classification system is a software application with clinician's friendly tools and functions to diagnose cancer from pathology images. Pathology evolved from manual diagnosis to computer-aided diagnosis with the help of Artificial Intelligence tools and algorithms. In this paper, we explained each block of the project life cycle for the implementation of automated breast cancer classification software using AI and machine learning algorithms to classify normal and invasive breast histology images. The system was designed to help the pathologists in an automatic and efficient diagnosis of breast cancer. To design the classification model, Hematoxylin and Eosin (H&E) stained breast histology images were obtained from the ICIAR Breast Cancer challenge. These images are stain normalized to minimize the error that can occur during model training due to pathological stains. The normalized dataset was fed into the ResNet-34 for the classification of normal and invasive breast cancer images. ResNet-34 gave 94% accuracy, 93% F Score, 95% of model Recall, and 91% precision.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.6 no.1
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• pp.40-51
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• 2006

Purpose: A personal computer-based system was developed for automated metabolic profiling of organic aciduria and aminoacidopathy by gas chromatography-mass spectrometry and data interpretation for the diagnosis of metabolic disorders Methods: For automatic data profiling and interpretation, we compiled retention time, two target ions and their intensity ratio for 77 organic acids and 13 amino acids metabolites. Metabolites above the cut-off values were flagged as abnormal compounds. The data interpretation was a based on combination of flagged metabolites. Diagnostic or index metabolites were categorized into three groups, "and", "or" and "NO" compiled for each disorder to improve the specificity of the diagnosis. Groups "and" and "or" comprised essential and optional compounds, respectively, to reach a specific diagnosis. Group "NO" comprised metabolites that must be absent to make a definite diagnosis. We tested this system by analyzing patients with confirmed Propionic aciduria and others. Results: In all cases, the diagnostic metabolites were identified and correct diagnosis was founded to be made among the possible disease suggested by the system. Conclusion: The study showed that the developed method could be the method of choices in rapid, sensitive and simultaneous screening for organic aciduria and amino acidopathy with this simplified automated system.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.28-37
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• 2011

With growing concerns about healthy life recently, although the podiatry which deals with the whole area for diagnosis, treatment of foot and leg, and prevention has been widely interested, research in our country is not active. Also, because most of the previous researches in data analysis performed the quantitative approaches, the reasonable level of reliability for clinical application could not be guaranteed. Clinical data mining utilizes various data mining analysis methods for clinical data, which provides decision support for expert's diagnosis and treatment for the patients. Because the decision tree can provide good explanation and description for the analysis procedure and is easy to interpret the results, it is simple to apply for clinical problems. This study investigate rules of item of diagnosis in disease types for adapting decision tree after collecting diagnosed data patients who are 2620 feet of 1310(males:633, females:677) in shoes clinic (department of rehabilitation medicine, Chungnam National University Hospital). and we classified 15 foot diseases followed factor of 22 foot diseases, which investigated diagnosis of 64 rules. Also, we analyzed and compared correlation relationship of characteristic of disease and factor in types through made decision tree from 5 class types(infants, child, adolescent, adult, total). Investigated results can be used qualitative and useful knowledge for clinical expert`s, also can be used tool for taking effective and accurate diagnosis.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.11 no.sup1
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• pp.72-82
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• 2008

Wilson disease (WD) is an autosomal recessive disorder of copper metabolism that results in accumulation of copper primarily in the liver, the brain and the cornea. Mutations in the WD gene, ATP7B cause failure of copper excretion from hepatocyte into bile and a defective synthesis of ceruloplasmin. More than 370 mutations are now recognized, scattering throughout the ATP7B gene. Since WD has protean clinical presentations, awareness of WD in clinical practice is important for the early diagnosis and prevention of accumulated copper toxicity. None of the laboratory parameters alone allows a definite diagnosis of WD. There are numerous pitfalls in the diagnosis of WD. Low serum ceruloplasmin concentrations, increased 24 hour urinary copper excretion, increased hepatic copper concentrations and the presence of Kayser-Fleischer rings in the cornea are major diagnostic points. A combination of any two of these 4 laboratory findings is strong support for a diagnosis of WD. Molecular methods are now being used to aid diagnosis. Molecular genetic testing has confirmed the diagnosis in individuals in whom the diagnosis is not clearly established biochemically and clinically. Siblings should be screened for WD once an index case has been diagnosed. Discrimination of heterozygotes from asymptomatic patients is essential to avoid inappropriate lifelong therapy for heterozygotes. Genetic testing, either by haplotype analysis or by mutation analysis, is the only reliable tool for differentiating heterozygote carriers from affected asymptomatic patients. Currently, genetic testing is of limited value in the primary diagnosis. However, genetic testing will soon play an essential role in diagnosing WD as rapid advancement of biomedical technology will allow more rapid, easier and less expensive mutation detection.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.420-429
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• 2004

It has been needed diagnosis technology of the EFG(Electro Functio Gram) measurement concept which is incorporated characteristic of modern science and biomedical engineering, because function abnormality diagnosis can't diagnose with visualization instruments or clinical pathology. The general diagnosis system(EFG system) has been developed to use basic diagnosis instrument that has reappearance, reliance and convenience using the functio diagnosis technology, in the field of western/oriental medicine. Also, we improved sticking electrode and simultaneous measurement method of the limbs 8CH, head 2CH to diagnose body circulation of Qi and acupoints for Oriental Medicine diagnosis/therapy. The result of clinical for adult man 20 persons, the EFG system can diagnose state of 12 meridians and autonomic nervous system. Therefore, in this paper, we designed of oriental medicine diagnosis system by bio-electric response with materialized H/W and S/W for 12 meridians state diagnosis of human body and system construction of the EFG.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.452-458
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• 2017

In this study, a device was developed for diagnosing depression using EEG signals from July 2016 to June 2017. For normal people, the left alpha rhythm is more activated than the right alpha rhythm, but for the depressed patients, the right alpha rhythm is more activated than the left one. An analog circuit and digital low pass filter were used for noise removal and amplification of EEG, and the Hamming window function was applied to eliminate the signal leakage generated by the fast Fourier transform. To verify the validity of the developed diagnosis system, the EEG of 20 university students in the 3rd and 4th grade with an average age of 24 years was measured. Calculations of the relative value of the left and right alpha rhythm for the depression diagnosis revealed a minimum, maximum, and mean value of 66.7, 113.3, and 92.2, respectively. In addition, 7 out of 20 subjects were between 90 and 95, and those with a higher mean deviation of approximately 20 tended to have mild depression. These results can provide meaningful data for the development of depression treatment equipment by solving the left and right brain asymmetry problem, and it may be applied usefully to diagnose depression after clinical trials on a large number of depressed patients.

• Biomedical Science Letters
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• v.11 no.1
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• pp.15-22
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• 2005

Trichomoniasis is a sexually transmitted disease induced by Trichomonas vaginalis, a parasitic protozoan. The symptoms of trichomoniasis are rarely appeared that the infections are distributed worldwide from underdeveloped to developed countries. The diagnosis of trichomoniasis is mainly taken by wet smear following microscopic examination, of which the diagnostic accuracies are poor and varies with the clinicians' experiences. Therefore, more exact and convenient diagnostic methods for T. vaginalis are required. Here, we cloned and expressed recombinant T. vaginalis adhesion protein 33 (rTvAP33) using an E. coli expression system. rTvAP33 was then immunized to rabbit and BALB/c mice for the production of anti-rTvAP33 antibodies. Sandwich ELISA using these antibodies detected T. vaginalis cultured in TYM broth supplemented with ferrous ions. Vagina-parasitizing microorganisms showed low cross-reactivities in this system. These results suggest that Tv AP33 is a good diagnostic target for the detection of TvAP33-expressing T. vaginalis.

• Biomedical Science Letters
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• v.11 no.1
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• pp.51-56
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• 2005

The detection of high-risk human papilloma virus (HPV) allows us to predict the presence and future development of cervical intraepitheliallesion. In this study, we compared Hybrid Capture II and DNA chip methods for detection of HPV in cervical swab samples. And we evaluated the clinical efficacy and diagnostic performance of HPV DNA chip and Hybrid Capture II for detecting HPV in cervical neoplastic lesions. Seventy four patients were classified into three groups according to their histologic diagnosis: Group I (nonspecific chronic cervicitis), Group II (low-grade squamous intraepithelial lesion (SIL); koilocytosis, and mild dysplasia), and Group III (high-grade SIL;, moderate, severe dysplasia and in situ carcinoma). Cytologic diagnosis were based on the Bethesda System. Hybrid Capture II and DNA chip methods were performed to detect HPV. In 41 of the 74 cervical samples $(55.4\%)$, HPV DNAs were detected by Hybrid Capture II. In Group III, HPV-positive cases were detected in 15 $(20.3\%)$ of 74 patients by Hybrid Capture II. 25 patients with ASCUS cytology were histopathologically examined: 9 cases $(36\%)$ were Group II. In 18 patients with low-grade SIL cytology, 13 cases $(72.2\%)$ were Group II and 3 cases $(16.7\%)$ were Group III. 12 cases $(92.3\%)$ were Group ill of 13 patients with high-grade SIL cytology. The sensitivity of each test was $82\%$ in Hybrid Capture II and $53.9\%$ in DNA chip test. And the specificity was $74.3\%,\;85.7\%$ in Hybrid Capture II and DNA chip. In conclusion, Hybrid Capture II test is more sensitive than DNA chip in detecting women with cervical neoplastic lesions. Especially, in diagnosing of ASCUS, Hybrid Capture II test is more sensitive. Therefore, Hybrid Capture II test for cancer-associated HPV DNA is a viable option in the management of women with ASCUS.

• International Journal of Vascular Biomedical Engineering
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• v.2 no.1
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• pp.17-24
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• 2004

Tumor angiogenesis was simulated using a two-dimensional computational model. The equation that governed angiogenesis comprised a tumor angiogenesis factor (TAF) conservation equation in time and space, which was solved numerically using the Galerkin finite element method. The time derivative in the equation was approximated by a forward Euler scheme. A stochastic process model was used to simulate vessel formation and vessel elongation towards a paracrine site, i.e., tumor-secreted basic fibroblast growth factor (bFGF). In this study, we assumed a two-dimensional model that represented a thin (1.0 mm) slice of the tumor. The growth of the tumor over time was modeled according to the dynamic value of bFGF secreted within the tumor. The data used for the model were based on a previously reported model of a brain tumor in which four distinct stages (namely multicellular spherical, first detectable lesion, diagnosis, and death of the virtual patient) were modeled. In our study, computation was not continued beyond the 'diagnosis' time point to avoid the computational complexity of analyzing numerous vascular branches. The numerical solutions revealed that no bFGF remained within the region in which vessels developed, owing to the uptake of bFGF by endothelial cells. Consequently, a sharp, declining gradient of bFGF existed near the surface of the tumor. The vascular architecture developed numerous branches close to the tumor surface (the brush-border effect). Asymmetrical tumor growth was associated with a greater degree of branching at the tumor surface.