• Korean Journal of Psychosomatic Medicine
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• v.29 no.2
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• pp.121-127
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• 2021

Objectives : The characteristics of depressive symptoms in patients with cancer is different from those in control group. However, few research has focused on the association between depressive symptoms in cancer patients. The aim of this study was to compare the network structure of depressive symptoms between patients with cancer and normal control. Methods : This study was based on cohort data from Korea National Health and Nutrition Examination Survey in 2016-2018. The Patient health Quetionnaire-9 (PHQ-9) was used to assess depressive symptoms in 599 patients with cancer and 599 age-sex matched controls. We estimated network structure of depressive symptom using Isingfit model. Results : There was no significant difference of each PHQ-9 item score. There were strong associations between symptoms were concentration problem-psychomotor activity, anhedonia-depressed mood, and depressed mood-suicidal ideation in both groups. Strength centrality of worthlessness was significantly higher in patients with cancer. Conclusions : These results suggest that worthless is associated with other depressive symptoms more tightly in patients with cancer. Worthless can serve as important treatment targets for intervention of depression in patients with cancer.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.22 no.1
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• pp.28-36
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• 2022

Purpose: Detection of abnormal metabolites in plasma amino acid (PAA) and urine organic acid (UOA) analyses has been used to diagnose clinical mitochondrial diseases, such as Leigh syndrome. In this study, the diagnostic values and effectiveness of PAA and UOA analyses were reviewed. Methods: This was a retrospective study of patients with Leigh syndrome who were diagnosed between 2003 and 2018 in a single tertiary care center. Through a whole mitochondrial sequencing and nuclear DNA associated mitochondrial gene panel analysis, 19 patients were found to be positive for mitochondrial DNA (mtDNA) mutation-associated Leigh syndrome, and 57 patients were negative. Their PAA and UOA analyses results were then compared. Results: In the comparison of the PAA and UOA analyses results between the two groups, no abnormal metabolites showed obvious differences between the mtDNA mutation-positive Leigh syndrome and mtDNA mutation-negative Leigh syndrome groups. Conclusion: PAA and UOA analyses are inappropriate test methods for diagnosing Leigh syndrome or screening of mtDNA mutation-associated Leigh syndrome. However, UOA analysis might still be a suitable screening test for Leigh syndrome.

• The Journal of the Acoustical Society of Korea
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• v.42 no.5
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• pp.429-440
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• 2023

This study explores recent research trends and potential applications of ultrasound optical imaging-based multimodal technology. Ultrasound imaging has been widely utilized in medical diagnostics due to its real-time capability and relative safety. However, the drawback of low resolution in ultrasound imaging has prompted active research on multimodal imaging techniques that combine ultrasound with other imaging modalities to enhance diagnostic accuracy. In particular, ultrasound optical imaging-based multimodal technology enables the utilization of each modality's advantages while compensating for their limitations, offering a means to improve the accuracy of the diagnosis. Various forms of multimodal imaging techniques have been proposed, including the fusion of optical coherence tomography, photoacoustic, fluorescence, fluorescence lifetime, and spectral technology with ultrasound. This study investigates recent research trends in ultrasound optical imaging-based multimodal technology, and its potential applications are demonstrated in the biomedical field. The ultrasound optical imaging-based multimodal technology provides insights into the progress of integrating ultrasound and optical technologies, laying the foundation for novel approaches to enhance diagnostic accuracy in the biomedical domain.

• Journal of the Korean Society of Radiology
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• v.17 no.5
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• pp.693-699
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• 2023

Ultrasound is widely used in the medical field for non-destructive and non-invasive disease diagnosis. In order to improve the disease diagnosis accuracy of diagnostic medical images, improving spatial resolution is a very important factor. In this study, we aim to model the super resolution convolutional neural network (SRCNN) algorithm in ultrasound images and analyze its applicability in the medical diagnostic field. The study was conducted as an experimental study using Field II simulation and open source clinical liver hemangioma ultrasound imaging. The proposed SRCNN algorithm was modeled so that end-to-end learning can be applied from low resolution (LR) to high resolution. As a result of the simulation, we confirmed that the full width at half maximum in the phantom image using a Field II program was improved by 41.01% compared to LR when SRCNN was used. In addition, the peak to signal to noise ratio (PSNR) and structural similarity index (SSIM) evaluation results showed that SRCNN had the excellent value in both simulated and real liver hemangioma ultrasound images. In conclusion, the applicability of SRCNN to ultrasound images has been proven, and we expected that proposed algorithm can be used in various diagnostic medical fields.

• Korean Journal of Psychosomatic Medicine
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• v.22 no.2
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• pp.121-129
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• 2014

Objectives : This study was to assess the prevalence and its correlates of restless legs syndrome(RLS) in outpatients with bipolar disorder. Methods : A total of 100 clinical stabilized bipolar outpatients were examined. The presence of RLS and its severity were assessed using the International Restless Legs Sydrome Study Group(IRLSSG) diagnostic criteria. Beck's Depression Inventory(BDI), Spielberg's State Anxiety Inventory(STAI-X-1), Pittsburgh Sleep Quality Index(PSQI), Korean version Drug Attitude Inventory(KDAI-10), Subjective Well-Beings under Neuroleptic Treatment Scale-Short Form(SWN-K) and Barnes Akathisia Rating Scale(BARS) were used to evaluate the depressive symptomatology, level of anxiety, subjective quality of sleep, subjective feeling of well-being, drug attitude, presence of akathisia, respectively. Results : Of the 100 bipolar outpatients, 7(7%) were met to full criteria of IRLSSG and 36(36%) have at least one of the 4 IRLSSG criterion. Because of relatively small sample size, non-parametric analysis were done to compare the characteristics among 3 groups(full-RLS, 1 ${\geq}$positive RLS-symptom and Non-RLS). There were no significant differences in sex, age, and other sociodemographic and clinical data among 3 groups. BDI, STAI-X-1 and PSQI are tended to be impaired in RLS and 1 ${\geq}$positive RLS-symptom groups. Conclusions : This is the first preliminary study for studying the prevalence and its correlates of RLS in bipolar disorder. The results shows that relatively small proportion of RLS was present in bipolar disorder patients when compared to patients with schizophrenia. Same tendencies shown in schizophrenic patients were found that bipolar patients with RLS had more depressive symptoms, state anxiety and poor subjective sleep quality. Further systematic studies may be needed to find the characteristics of RLS in bipolar patients.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.119-129
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• 2019

Objectives : The purpose of this study was to examine cognitive and psychological characteristics of patients who visited psychiatric outpatient clinic with military service suitability issues. Methods : Since January, 2017 to September, 2018, patients were recruited from the department of psychiatry of university hospital. Participants were diagnosed using DSM-5 criteria by board certified psychiatrists. And each of participants tested with K-WAIS-IV, K-SCL-95 by clinical psychologist. The data were analyzed using SPSS 18.0. Results : The results indicated 24.6% of the patients have significantly low level of intellectual functioning. and 10.8% of the patients have borderline level of intellectual functioning, and 26.3% of them were below average. The results of psychological characteristics showed patients have cautious and potentially dangerous level of depression, anxiety, agoraphobia, and suicidal idea. And PTSD subscale's mean score was above problematic level. Next, we divided patients into two groups based on question of whether the patient is eligible to serve in the military service or not arises from recruitment process or army training center. But two group didn't differ significantly. And for further analyses, we also divided patients into two groups based on if they got single psychiatric diagnosis or more than one psychiatric diagnosis. Conclusions : The results indicated that group which has coexisting psychiatric disorders were more depressed, had higher level of anger and aggression, and had more serious levels of suicidal ideas than single psychiatric diagnosis group. The implications and limitations were discussed along with some suggestions for the future studies.

• The KIPS Transactions:PartB
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• v.18B no.6
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• pp.389-396
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• 2011

There is getting worse to various liver diseases due to change in eating habits, stress, alcohol etc in modern society. Therefore, we proposed methodology to diagnose early for liver disease to study the influence on voice in liver diseases. To this end, we carried out experiment to apply parameter of voice analysis to collect each voice inpatients and patients by treatment of liver diseases patients. Particularly, we carried out experiment to apply element value of pronunciation and the third formant frequency bandwidths about velar sounds associated liver in oriental medicine, then to produce objective index resonance cavity and influence vocalization in liver diseases. In addition, we carried out to study about design of system to monitoring a liver function in u-Health environment based on result by experiment.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.17-33
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• 2005

This paper presents the proposed a classifier of liver cirrhotic step using MR(magnetic resonance) imaging and hierarchical neural network. The data sets for classification of each stage, which were normal, 1type, 2type and 3type, were analysis in the number of data was 231. We extracted liver region and nodule region from T1-weight MR liver image. Then objective interpretation classifier of liver cirrhotic steps. Liver cirrhosis classifier implemented using hierarchical neural network which gray-level analysis and texture feature descriptors to distinguish normal liver and 3 types of liver cirrhosis. Then proposed Neural network classifier learned through error back-propagation algorithm. A classifying result shows that recognition rate of normal is $100\%$, 1type is $82.8\%$, 2type is $87.1\%$, 3type is $84.2\%$. The recognition ratio very high, when compared between the result of obtained quantified data to that of doctors decision data and neural network classifier value. If enough data is offered and other parameter is considered this paper according to we expected that neural network as well as human experts and could be useful as clinical decision support tool for liver cirrhosis patients.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1765-1772
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• 2012

Success rate of transplantation of body organs improved due to development of medical equipment and diagnostic technology. In particular, a liver transplant due to liver dysfunction has increased. With the development of image processing and analysis to obtain the volume for liver transplantation have increased the accuracy and efficiency. In this thesis, we try to reconstruct the regions of the liver within three dimensional images using the mevislab tool, which is effective in quick comparison and analysis of various algorithms, and in expedient development of prototypes. Liver is divided by applying threshold values and region growing method to the original image, and by removing noise and unnecessary entities through morphology and region filling, and setting of areas of interest. It is deemed that high temporal efficiency, and presentation of diverse range of comparison and analysis module application methods through usage of MeVisLab would make contribution towards expanding of baseline of medical image processing researches.

• Journal of the Korean Society of Physical Medicine
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• v.6 no.4
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• pp.415-424
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• 2011

연구목적 : 본 연구는 볼기신경 뿌리병증 환자에 대하여 역학적 스트레스인 압박과 긴장을 가하여 환자의 증상을 나타내 신경동역학적 검사간의 상관관계를 수행하였다. 연구방법 : 신경동역학검사인 하지직거상검사, 수정된 활시위검사, 슬럼프검사에 앞서 방사선과 전문의에 의해 자기공명영상 판독을 실시하여 허리원반 이탈로 진단받은 다리쪽으로 방사통을 호소하는 21명의 환자가 참여 하였다. 수집된 자료는 질적변수에 따른 빈도와 비율은 교차분석표로 작성하였고, 신경동역학적 검사간의 상관관계를 검정하기 위해 피어슨의 카이스퀘어(Pearson's chi-square)을 시행하였다. 연구결과 : 허리 자기공명영상 결과, 증상에 대한 두 검사 간 교차표를 작성하여 하지직거상검사와 수정된 활 시위검사, 하지직거상검사와 슬럼프검사는 유의한 상관관계는 없었지만(p>.05) 수정된 활시위검사와 슬럼프검사는 통계적으로 유의한 상관관계(p<.05)가 제시되었다. 결론 : 볼기신경 뿌리병증 환자에 대한 신경동역학검사인 수정된 활시위검사와 슬럼프검사가 통계적으로 유의한 상관관계를 나타내는 증거를 제공하였다. 신경동역학 검사는 신경계에 역학적 스트레스 즉, 긴장, 활주, 또는 압박 자극을 주어 신경기능이상 환자에 대해 적절한 검사를 제시하였다.