This study aimed to identify the recent risk factors for Opisthorchis viverrini infection and cholangiocarcinoma (CCA) to improve disease prevention. The participants were divided into the following 3 groups based on their health status: healthy control (nonOV and nonCCA), those with O. viverrini infection (OV), and those with CCA. A questionnaire was used to explore their lifestyle and behaviors. Multivariate logistic regression and backward elimination were used to identify the significant risk factors. The results showed that the significant risk factors for both O. viverrini infection and CCA were age>50 years (odd ratio (OR)=8.44, P<0.001, 95% confidence intervals (CI) 2.98-23.90 and OR=43.47, P=0.001, 95% CI 14.71-128.45, respectively) and raw fish consumption (OR=8.48, P<0.001, 95% CI 3.18-22.63 and OR=3.15, P=0.048, 95% CI 1.01-9.86, respectively). A history of O. viverrini infection was identified as an additional risk factor for CCA (OR=20.93, P=0.011, 95% CI 2.04-215.10). This study provided an update on the risk factors for O. viverrini infection and CCA. Asymptomatic patients with O. viverrini infection, particularly those>50 years old, should be carefully monitored to prevent CCA.
Sung Young Lee;Jin Ho Kim;Ji Hyun Chang;Jong Min Park;Chang Heon Choi;Jung-in Kim;So-Yeon Park
Journal of Radiation Protection and Research
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v.48
no.3
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pp.144-152
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2023
Background: Color texture analysis was applied as a tool for quantitative evaluation of radiation-induced skin injuries. Materials and Methods: We prospectively selected 20 breast cancer patients who underwent whole-breast radiotherapy after breast-conserving surgery. Color images of skin surfaces for irradiated breasts were obtained by using a mobile skin analyzer. The first skin measurement was performed before the first fraction of radiotherapy, and the subsequent measurement was conducted approximately 10 days after the completion of the entire series of radiotherapy sessions. For comparison, color images of the skin surface for the unirradiated breasts were measured similarly. For each color image, six co-occurrence matrices (red-green [RG], red-blue [RB], and green-blue [GB] from color channels, red [R], green [G], blue [B] from gray channels) can be generated. Four textural features (contrast, correlation, energy, and homogeneity) were calculated for each co-occurrence matrix. Finally, several statistical analyses were used to investigate the performance of the color textural parameters to objectively evaluate the radiation-induced skin damage. Results and Discussion: For the R channel from the gray channel, the differences in the values between the irradiated and unirradiated skin were larger than those of the G and B channels. In addition, for the RG and RB channels, where R was considered in the color channel, the differences were larger than those in the GB channel. When comparing the relative values between gray and color channels, the 'contrast' values for the RG and RB channels were approximately two times greater than those for the R channel for irradiated skin. In contrast, there were no noticeable differences for unirradiated skin. Conclusion: The utilization of color texture analysis has shown promising results in evaluating the severity of skin damage caused by radiation. All textural parameters of the RG and RB co-occurrence matrices could be potential indicators of the extent of skin damage caused by radiation.
Purpose: The degree of caring behavior of oncology nurses is a crucial factor in the care provided to patients with cancer. In this study, we aimed to investigate factors related to oncology nurses' caring behavior, including their resilience and professional quality of life. Methods: A cross-sectional descriptive study was conducted with 107 oncology nurses at an urban tertiary hospital from May 18 to 24, 2015. We used a self-report questionnaire to measure resilience, professional quality of life, and degree of caring behavior. Data analysis included descriptive statistics, correlations, and multiple regression analysis using SPSS/WIN 20.0. Results: Oncology nurses presented with low levels of resilience and caring behavior, and high levels of compassion satisfaction, burnout, and secondary traumatic stress. There was a statistically significant relationship between the degree of caring behavior, resilience (r = .43, p < .001), compassion satisfaction (r = .51, p < .001), and burnout (r = - .42, p < .001), as well as between secondary traumatic stress and burnout (r = .34, p < .001). Factors associated with oncology nurses' degree of caring behavior were compassion satisfaction (t = 6.00, p < .001) and educational level (t = 3.45, p = .001). Conclusion: This study demonstrates that oncology nurses' degree of caring behavior is related to their professional quality of life and education. These findings suggest that enhancing oncology nurses' healthy coping strategies at both the individual and organizational levels can further develop holistic nursing care. Additionally, it is necessary to examine the factors affecting nurses' compassion satisfaction and to try to promote this aspect.
Chemotherapy-induced cognitive impairment is recognized as the most typical symptom in patients with cancer that occurs during and following the chemotherapy treatment. Recently many studies focused on pharmaceutical strategies to control the chemotherapy side effects, however it is far from satisfactory. There may be a need for more effective treatment options. The aim of this study was to investigate the protective effect of exercise on cisplatin-induced neurotoxicity. Eight-week-old C57BL6 mice were separated into three group: normal control (CON, n = 8); cisplatin injection control (Cis-CON, n = 8); cisplatin with aerobic exercise (Cis-EXE, n = 8). Cisplatin was administered intraperitoneally at a dose of 3.5 mg/kg/day. The Cis-EXE group exercise by treadmill running (14-16 m/min for 45 min daily, 3 times/week) for 12 weeks. Compared to the CON group, the cisplatin injection groups showed significant decrease in body weight and food intake, indicating successful induction of cisplatin toxicity. The Cis-CON group showed significantly increased levels of pro-inflammatory cytokines including IL-6, IL-1β, and TNF-α in the hippocampus, while the Cis-EXE group was significantly decreased in the expression of IL-6, IL-1β, and TNF-α. In addition, compared to the CON group, the levels of synapse-related proteins including synapsin-1 and -2 were significantly reduced in the Cis-CON group, and there was a significant difference between the Cis-CON and Cis-EXE groups. Antioxidant and apoptosis factors were significantly improved in the Cis-EXE group compared with the Cis-CON group. This study suggest that exercise could be meaningful approach to prevent or improve cisplatin-induced cognitive impairment.
International Journal of Computer Science & Network Security
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v.24
no.2
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pp.43-52
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2024
Medical imaginings assume a important part in the analysis of tumors and cerebrospinal fluid (CSF) leak. Magnetic resonance imaging (MRI) is an image segmentation technology, which shows an angular sectional perspective of the body which provides convenience to medical specialists to examine the patients. The images generated by MRI are detailed, which enable medical specialists to identify affected areas to help them diagnose disease. MRI imaging is usually a basic part of diagnostic and treatment. In this research, we propose new techniques using the 4D-MRI image segmentation process to detect the brain tumor in the skull. We identify the issues related to the quality of cerebrum disease images or CSF leakage (discover fluid inside the brain). The aim of this research is to construct a framework that can identify cancer-damaged areas to be isolated from non-tumor. We use 4D image light field segmentation, which is followed by MATLAB modeling techniques, and measure the size of brain-damaged cells deep inside CSF. Data is usually collected from the support vector machine (SVM) tool using MATLAB's included K-Nearest Neighbor (KNN) algorithm. We propose a 4D light field tool (LFT) modulation method that can be used for the light editing field application. Depending on the input of the user, an objective evaluation of each ray is evaluated using the KNN to maintain the 4D frequency (redundancy). These light fields' approaches can help increase the efficiency of device segmentation and light field composite pipeline editing, as they minimize boundary artefacts.
In cancer patients, chemo/radio therapy may cause infertility by damaging the spermatogenesis affecting the self-renewal and differentiation of spermatogonial stem cells (SSCs). In vitro differentiation of stem cells especially mesenchymal stem cells (MSCs) into germ cells has recently been proposed as a new strategy for infertility treatment. The aim of this study was to evaluate the proliferation and differentiation of SSCs using their co-culture with Sertoli cells and conditioned medium (CM) from adipose tissue-derived MSCs (AD-MSCs). Testicular tissues were separated from 2-7 days old neonate Wistar Rats and after mechanical and enzymatic digestion, the SSCs and Sertoli cells were isolated and cultured in Dulbecco's modified eagle medium with 10% fetal bovine serum, 1X antibiotic, basic fibroblast growth factor, and glial cell line-derived neurotrophic factor. The cells were treated with the CM from AD-MSCs for 12 days and then the expression level of differentiation-related genes were measured. Also, the expression level of two major spermatogenic markers of DAZL and DDX4 was calculated. Scp3, Dazl, and Prm1 were significantly increased after treatment compared to the control group, whereas no significant difference was observed in Stra8 expression. The immunocytochemistry images showed that DAZL and DDX4 were positive in experimental group comparing with control. Also, western blotting revealed that both DAZL and DDX4 had higher expression in the treated group than the control group, however, no significant difference was observed. In this study, we concluded that the CM obtained from AD-MSCs can be considered as a suitable biological material to induce the differentiation in SSCs.
Objective: To assess the contrast-enhanced CT and ultrasonography (US) findings of intracholecystic papillary neoplasm (ICPN) and determine the imaging features predicting ICPN associated with invasive carcinoma (ICPN-IC). Materials and Methods: In this retrospective study, we enrolled 119 consecutive patients, including 60 male and 59 female, with a mean age ± standard deviation of 63.3 ± 12.1 years, who had pathologically confirmed ICPN (low-grade dysplasia [DP] = 34, high-grade DP = 35, IC = 50) and underwent preoperative CT or US. Two radiologists independently assessed the CT and US findings, focusing on wall and polypoid lesion characteristics. The likelihood of ICPN-IC was graded on a 5-point scale. Univariable and multivariable logistic regression analyses were performed to identify significant predictors of ICPN-IC separately for wall and polypoid lesion findings. The performances of CT and US in distinguishing ICPN-IC from ICPN with DP (ICPN-DP) was evaluated using the area under the receiver operating characteristic curve (AUC). Results: For wall characteristics, the maximum wall thickness (adjusted odds ratio [aOR] = 1.4; 95% confidence interval [CI]: 1.1-1.9) and mucosal discontinuity (aOR = 5.6; 95% CI: 1.3-23.4) on CT were independently associated with ICPN-IC. Among 119 ICPNs, 110 (92.4%) showed polypoid lesions. Regarding polypoid lesion findings, multiplicity (aOR = 4.0; 95% CI: 1.6-10.4), lesion base wall thickening (aOR = 6.0; 95% CI: 2.3-15.8) on CT, and polyp size (aOR = 1.1; 95% CI: 1.0-1.2) on US were independently associated with ICPN-IC. CT showed a higher diagnostic performance than US in predicting ICPN-IC (AUC = 0.793 vs. 0.676; p = 0.002). Conclusion: ICPN showed polypoid lesions and/or wall thickening on CT or US. A thick wall, multiplicity, presence of wall thickening in the polypoid lesion base, and large polyp size are imaging findings independently associated with invasive cancer and may be useful for differentiating ICPN-IC from ICPN-DP.
Jung Eun Huh; Jong Hyuk Lee;Eui Jin Hwang;Chang Min Park
Korean Journal of Radiology
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v.24
no.2
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pp.155-165
/
2023
Objective: Little is known about the effects of using different expert-determined reference standards when evaluating the performance of deep learning-based automatic detection (DLAD) models and their added value to radiologists. We assessed the concordance of expert-determined standards with a clinical gold standard (herein, pathological confirmation) and the effects of different expert-determined reference standards on the estimates of radiologists' diagnostic performance to detect malignant pulmonary nodules on chest radiographs with and without the assistance of a DLAD model. Materials and Methods: This study included chest radiographs from 50 patients with pathologically proven lung cancer and 50 controls. Five expert-determined standards were constructed using the interpretations of 10 experts: individual judgment by the most experienced expert, majority vote, consensus judgments of two and three experts, and a latent class analysis (LCA) model. In separate reader tests, additional 10 radiologists independently interpreted the radiographs and then assisted with the DLAD model. Their diagnostic performance was estimated using the clinical gold standard and various expert-determined standards as the reference standard, and the results were compared using the t test with Bonferroni correction. Results: The LCA model (sensitivity, 72.6%; specificity, 100%) was most similar to the clinical gold standard. When expert-determined standards were used, the sensitivities of radiologists and DLAD model alone were overestimated, and their specificities were underestimated (all p-values < 0.05). DLAD assistance diminished the overestimation of sensitivity but exaggerated the underestimation of specificity (all p-values < 0.001). The DLAD model improved sensitivity and specificity to a greater extent when using the clinical gold standard than when using the expert-determined standards (all p-values < 0.001), except for sensitivity with the LCA model (p = 0.094). Conclusion: The LCA model was most similar to the clinical gold standard for malignant pulmonary nodule detection on chest radiographs. Expert-determined standards caused bias in measuring the diagnostic performance of the artificial intelligence model.
Jong Eun Lee;Won Gi Jeong;Hyo-Jae Lee;Yun-Hyeon Kim;Kum Ju Chae;Yeon Joo Jeong
Korean Journal of Radiology
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v.23
no.10
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pp.998-1008
/
2022
Objective: The present study aimed to assess the relationship between incidental abnormalities on thoracic computed tomography (CT) and mortality in a general screening population using a long-term follow-up analysis. Materials and Methods: We retrospectively collected the medical records and CT images of 840 participants (mean age ± standard deviation [SD], 58.5 ± 6.7 years; 564 male) who underwent thoracic CT at a single health promotion center between 2007 and 2010. Two thoracic radiologists independently reviewed all CT images and evaluated any incidental abnormalities (interstitial lung abnormality [ILA], emphysema, coronary artery calcification [CAC], aortic valve [AV] calcification, and pulmonary nodules). Kaplan-Meier analysis with log-rank and z-tests was performed to assess the relationship between incidental CT abnormalities and all-cause mortality in the subsequent follow-up. Cox proportional hazards regression was performed to further identify risk factors of all-cause mortality among the incidental CT abnormalities and clinical factors. Results: Among the 840 participants, 55 (6%), 171 (20%), 288 (34%), 396 (47%), and 97 (11%) had findings of ILA, emphysema, CAC, pulmonary nodule, and AV calcification, respectively, on initial CT. The participants were followed up for a mean period ± SD of 10.9 ± 1.4 years. All incidental CT abnormalities were associated with all-cause mortality in univariable analysis (p < 0.05). However, multivariable analysis further revealed fibrotic ILA as an independent risk factor for all-cause mortality (hazard ratio, 2.52 [95% confidence interval, 1.02-6.22], p = 0.046). ILA were also identified as an independent risk factor for lung cancer or respiratory disease-related deaths. Conclusion: Incidental abnormalities on screening thoracic CT were associated with increased mortality during the long-term follow-up. Among incidental CT abnormalities, fibrotic ILA were independently associated with increased mortality. Appropriate management and surveillance may be required for patients with fibrotic ILA on thoracic CT obtained for general screening purposes.
Sunah Suk;Yeon Joo Seo;Dae Young Cheung;Han Hee Lee;Jin Il Kim;Soo-Heon Park
Clinical Endoscopy
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v.56
no.4
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pp.470-478
/
2023
Background/Aims: Metachronous recurrence incidences and risk factors following endoscopic submucosal dissection (ESD) for gastric adenocarcinoma and dysplasias were investigated. Methods: Retrospective review of electronic medical records of patients who underwent gastric ESD at The Catholic University of Korea, Yeouido St. Mary's Hospital. Results: A total of 190 subjects were enrolled for analysis during the study period. The mean age was 64.4 years and the male sex occupied 73.7%. The mean observation period following ESD was 3.45 years. The annual incidence rate of metachronous gastric neoplasms (MGN) was about 3.96%. The annual incidence rate was 5.36% for the low-grade dysplasia group, 6.47% for the high-grade dysplasia group, and 2.74% for the EGC group. MGN was more frequent in the dysplasia group than in the EGC group (p<0.05). For those with MGN development, the mean time interval from ESD to MGN was 4.1 (±1.8) years. By using the Kaplan-Meier model, the estimated mean MGN free survival time was 9.97 years (95% confidence interval, 8.53-11.40) The histological types of MGN were not related to the primary histology types. Conclusions: MGN following ESD developed in 3.96% annually and MGN was more frequent in the dysplasia group. The histological types of MGN did not correlate with those of primary neoplasm.
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