• Korean Journal of Applied Biomechanics
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• v.30 no.1
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• pp.83-91
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• 2020

Objective: The study aimed to develop a functional performance index that evaluates the functional performance of Parkinson's patients, i.e., to integrate biomechanical measurements of walking, balance, muscle strength and tremor, and to use multiple linear regression with stepwise methods to identify the most suitable predictors for the progression of disease. Method: A total of 60 subjects were tested for sub-variables of four factors: walking, balance, isometric strength and hand tremors. Potential independet variables were extracted through correlation analysis of the sub-variables and dependent variables, Hoehn & Yahr scale. And then, a stepwise multiple regression analysis using the potential independent variables was performed to identify predictor of Hoehn & Yahr scale. Results: First, the results of the study showed that physical composition and gait had a relatively more correlated with the progression of the disease, compared to balance and hand tremor. Second, Parkinson's functional performance is characterized by dynamic pattern of walking, such as foot clearance and turning angle (TA) of walking, and a high-explained regression model is completed. Conclusion: The study emphasized the importance of walking variables and body composition in minor pathological features compared to Parkinson's patient's balancing ability and hand tremor. Specifically, it revealed that dynamic walking patterns functionally characterize patients. The results are worth considering when assessing functional performance related to the progression of the disease at the site.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.2018-2043
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• 2022

Nowadays, COVID-19 infections are influencing our daily lives which have spread globally. The major symptoms' of COVID-19 are dry cough, sore throat, and fever which in turn to critical complications like multi organs failure, acute respiratory distress syndrome, etc. Therefore, to hinder the spread of COVID-19, a Computerized Doughty Predictor Framework (CDPF) is developed to yield benefits in monitoring the progression of disease from Chest CT images which will reduce the mortality rates significantly. The proposed framework CDPF employs Convolutional Neural Network (CNN) as a feature extractor to extract the features from CT images. Subsequently, the extracted features are fed into the Adaptive Dragonfly Algorithm (ADA) to extract the most significant features which will smoothly drive the diagnosing of the COVID and Non-COVID cases with the support of Doughty Learners (DL). This paper uses the publicly available SARS-CoV-2 and Github COVID CT dataset which contains 2482 and 812 CT images with two class labels COVID⁺ and COVI^-. The performance of CDPF is evaluated against existing state of art approaches, which shows the superiority of CDPF with the diagnosis accuracy of about 99.76%.

• Journal of Periodontal and Implant Science
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• v.23 no.1
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• pp.109-126
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• 1993

Refractory periodontitis manifest progressive attachment loss in a rapid and unrelenting manner regardless of the type or frequency of therapy applied. The purpose of this study was ta evaluate the relation between the level of cytokines in GCF and periodontopathic microflora with disease activity of refractory periodontitis. Selection of patients with refractory periodontitis (7 males, 3 females) were made by long term clinical observation including conventional clinical history and parameters. Teeth that showed pocket depth greater than 6mm were selected as sample teeth. Subjects were examined at baseline and after 3 months. Prior to baseline test, individual acrylic stent was fabricated. Reference grooves were made on each sample tooth site. Pocket depth and attachment loss were measured by Florida Probe. Gingival index was measured at 4 sites each sample teeth. Disease activity was defined as attachment loss of ${\ge}$ 2.1mm, as determined by sequential probing and tolerance method. The pattern and amount of alveolar bone resorption was observed with quantitative digital subtraction image processing radiography. Morphological analysis of subgingival bacteria was taken by phase contrast microscopy. Predominant cultivable bacterial distribution and frequency were compared between disease-active and disease-inactive site using immunofluorescence microscopy and selective microbial culturing. Levels of $interleukin-l{\beta}$, 2, 4, 6 and $TNF-{\alpha}$ in GCF and blood serum sample were quantified by ELISA. In active sites, P. intermedia was significantly increased to compare with inactive site. $IL-1{\beta}$, IL-2, IL-6 and $TNF-{\alpha}$ in GCF were increased in active sites and IL-2 in serum was increased in active patients significantly. Alveolar bone loss in active site was correlated with $IL-1{\beta}$, IL-2 in GCF. And loss of attachment in active site was correlated with IL-2 in GCF. These results demonstrate that IL-2 in serum, $IL-1{\beta}$, IL-2, IL-6 and $TNF-{\alpha}$ in GCF, P, intermedia might be used as possible predictors of disease activity in refractory periodontitis before it is clinically expressed as attachment loss and quantitative alveolar bone change.

• Journal of Korean Medical Science
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• v.33 no.45
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• pp.285.1-285.10
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• 2018

Background: Robot-assisted radical prostatectomy (RARP) is a feasible treatment option for high-risk prostate cancer (PCa). While patients may achieve undetectable prostate-specific antigen (PSA) levels after RARP, the risk of disease progression is relatively high. We investigated metastasis-free survival, cancer-specific survival (CSS), and overall survival (OS) outcomes and prognosticators in such patients. Methods: In a single-center cohort of 342 patients with high-risk PCa (clinical stage ${\geq}T3$, biopsy Gleason score ${\geq}8$, and/or PSA levels ${\geq}20ng/mL$) treated with RARP and pelvic lymph node dissection between August 2005 and June 2011, we identified 251 (73.4%) patients (median age, 66.5 years; interquartile range [IQR], 63.0-71.0 years) who achieved undetectable PSA levels (< 0.01 ng/mL) postoperatively. Survival outcomes were evaluated for the entire study sample and in groups stratified according to the time to biochemical recurrence dichotomized at 60 months. Results: During the median follow-up of 75.9 months (IQR, 59.4-85.8 months), metastasis occurred in 38 (15.1%) patients, most often to the bones, followed by the lymph nodes, lungs, and liver. The 5-year metastasis-free, cancer-specific, and OS rates were 87.1%, 94.8%, and 94.3%, respectively. Multivariate Cox-regression analysis revealed time to recurrence as an independent predictor of metastasis (P < 0.001). Time to metastasis was an independent predictor of OS (P = 0.003). Metastasis-free and CSS rates were significantly lower among patients with recurrence within 60 months of RARP (log-rank P < 0.001). Conclusion: RARP confers acceptable oncological outcomes for high-risk PCa. Close monitoring beyond 5 years is warranted for early detection of disease progression and for timely adjuvant therapy.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6375-6379
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• 2014

Purpose: The aim of this study was to evaluate inflammation parameters and assess the utility of the neutrophil-lymphocyte ratio (NLR) as a simple and readily available predictor for clinical disease activity in patients with nenign prostate hyperplasia BPH. We also aimed to investigate the relationship between inflammatory parameters with ${\alpha}$-blocker therapy response, and evaluate the potential association between NLR and the progression of benign prostatic hyperplasia (BPH). Materials and Methods: We examined 320 consecutive patients (July 2013-December 2013) admitted to our outpatient clinic with symptoms of the lower urinary tract at Bozok University. The mean age was 60 (range, 51-75) years. Complete blood count (CBC), prostate-specific antigen (PSA), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) were assessed. Correlations between PSA, CRP, ESR, prostate volume, International Prostate Symptom Score (IPPS), maximum urinary flow rate (Qmax), and NLR were assessed statistically. Patients were divided into two groups: high and low risk of progression. Results: NLR was positively correlated with IPSS (p=0.001, r=0.265), PSA (p=0.001, r=0.194), and negatively correlated with Qmax (p<0.001, r=-0.236). High-risk patients a had a higher NLR compared with low-risk patients, based on IPSS (p<0.001), PSA (p=0.013), and Qmax (p<0.001); however, there were no significant differences between the groups in terms of age (p>0.05), and prostate volume (p>0.05). Conclusions: NLR can predict BPH progression. We propose that increased inflammation is negatively associated with clinical status in BPH patients and suggest that NLR can give information along with LUTS severity which may be used as a readikly accessible marker for patient follow-up.

• Journal of Gastric Cancer
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• v.17 no.1
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• pp.1-10
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• 2017

Gastric cancer (GC) has high mortality owing to its aggressive nature. Tumor angiogenesis plays an essential role in the growth, invasion, and metastatic spread of GC. The aim of this work was to review the angiogenic biomarkers related to the behavior of GC, documented in the literature. A search of the PubMed database was conducted with the MeSH terms: "Stomach neoplasms/blood [MeSH] or stomach neoplasms/blood supply [MeSH] and angiogenic proteins/blood [Major]". A total of 30 articles were initially collected, and 4 were subsequently excluded. Among the 26 articles collected, 16 examined the role of vascular endothelial growth factor (VEGF), 4 studied endostatin, 3 investigated angiopoietin (Ang)-2, 2 studied the Ang-like protein 2 (ANGTPL2), and 1 each examined interleukin (IL)-12, IL-8, and hypoxia inducible factor. Regarding VEGF, 6 articles concluded that the protein was related to lymph node metastasis or distant metastases. Five articles concluded that VEGF levels were elevated in the presence of GC and decreased following tumor regression, suggesting that VEGF levels could be a predictor of recurrence. Four articles concluded that high VEGF levels were correlated with poor prognosis and lower survival rates. Ang-2 and ANGTPL2 were elevated in GC and associated with more aggressive disease. Endostatin was associated with intestinal GC. VEGF is the most extensively studied angiogenic factor. It is associated with the presence of neoplastic disease and lymph node metastasis. It appears to be a good biomarker for disease progression and remission, but not for diagnosis. The data regarding other biomarkers are inconclusive.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.771-774
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• 2016

Thymic tumors are the most common tumors in the anterior mediastinum. Total resection is the main treatment and predictor of longer survival. Adjuvant radiotherapy alone or in combination with chemotherapy is recommended with incomplete excision or advanced disease. Thirty seven patients with thymic tumors were included in this retrospective study from January 2001 till December 2012. They were studied regarding age, sex, performance status, tumor size and invasion, stage, pathology, treatment given, overall and progression free survival. Myasthenia gravis was present in 18.1% of the patients. Masaoka stage III was diagnosed in 40.5% of the cases followed by stage II in 24.3% and the other stages with lower percentages. Pathology type B3 was the most frequent followed by B2 and B1 with percentages of 27, 24.3 and 21.7 respectively. Complete resection was conducted in 11 cases (29.75%). Partial resection or debulking was done in 15 (40.5%) and a biopsy was taken in 11 cases (29.8%) Adjuvant chemotherapy was given to 14 patients (37.8%) and neoadjuvant to 13 (35.2%). Adjuvant radiotherapy was given to 17 patients (46%) and neoadjuvant to 14 (37.8%). The 5-year overall survival by was 83% for stage I, 71% for stage II, 60% for stage III, and 44% for stage IV (p=0.0426). Five year progression free survival was 71% for stage I, 62% stage II, 42% stage III, and 37% for stage IV (p=0.0532). In conclusion with the rare thymic tumors early stage and complete resection have the highest impact on overall and progression free survival.

• Korean Journal of Radiology
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• v.22 no.8
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• pp.1369-1378
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• 2021

Objective: Few attempts have been made to investigate the prognostic value of dynamic contrast-enhanced (DCE) MRI or dynamic susceptibility contrast (DSC) MRI of non-enhancing, T2-high-signal-intensity (T2-HSI) lesions of glioblastoma multiforme (GBM) in newly diagnosed patients. This study aimed to investigate the prognostic values of DCE MRI and DSC MRI parameters from non-enhancing, T2-HSI lesions of GBM. Materials and Methods: A total of 76 patients with GBM who underwent preoperative DCE MRI and DSC MRI and standard treatment were retrospectively included. Six months after surgery, the patients were categorized into early progression (n = 15) and non-early progression (n = 61) groups. We extracted and analyzed the permeability and perfusion parameters of both modalities for the non-enhancing, T2-HSI lesions of the tumors. The optimal percentiles of the respective parameters obtained from cumulative histograms were determined using receiver operating characteristic (ROC) curve and univariable Cox regression analyses. The results were compared using multivariable Cox proportional hazards regression analysis of progression-free survival. Results: The 95th percentile value (PV) of Ktrans, mean Ktrans, and median Ve were significant predictors of early progression as identified by the ROC curve analysis (area under the ROC curve [AUC] = 0.704, p = 0.005; AUC = 0.684, p = 0.021; and AUC = 0.670, p = 0.0325, respectively). Univariable Cox regression analysis of the above three parametric values showed that the 95th PV of Ktrans and the mean Ktrans were significant predictors of early progression (hazard ratio [HR] = 1.06, p = 0.009; HR = 1.25, p = 0.017, respectively). Multivariable Cox regression analysis, which also incorporated clinical parameters, revealed that the 95th PV of Ktrans was the sole significant independent predictor of early progression (HR = 1.062, p < 0.009). Conclusion: The 95th PV of Ktrans from the non-enhancing, T2-HSI lesions of GBM is a potential prognostic marker for disease progression.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.9
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• pp.5301-5310
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• 2013

The biological mechanisms of cancer and associations with behavior of tumours need to be studied to understand progression and determine appropriate treatments. Here we investigated expression of VEGF, MMP-9 and E-cadherin in laryngeal SCCs and their relations with clinical behavior. This prospective study was based on 38 surgical specimens from patients with primary laryngeal SCC and data recorded in their cards. Expression of the three factors in tumor tissue was examined using immunohistochemistry and correlations with clinical parameters of primary tumors, regional lymph node metastases, stage of disease, histopathologic differentiation, and vascular/cartilage invasion were investigated. Regarding the cases with positive MMP-9 expression, the difference between well and moderately/poorly differentiated tumors was statistically significant. However, differences between early stage (stage I and II) and late-stage (stage III and IV) tumours, and between positive and negative for pLN metastasis were not. No significant relationship between positive VEGF and tumor differentiation or stage was apparent, but E-cadherin levels significantly differed between well and moderately/poorly differentiated tumours and with the presence of pLN metastasis. E-cadherin staining did not vary between MMP-9 positive and negative cases. In conclusion, MMP-9 may be a negative predictor of differentiation in laryngeal SCC, while E-cadherin is a predictor of differentiation and nodal metastases. Even if the difference between VEGF expression and tumor stage was not statistically significant, it seems that there exists some relationship, which might be clarified with a greater number of cases.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.13
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• pp.5417-5421
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• 2014

Objectives: The identification of cutaneous T cell lymphoma (CTCL) biomarkers may serve as a predictor of disease progression and treatment response. The aim of this study was to map potential biomarkers in CTCL plasma. Design and Methods: Plasma metabolic perturbations between CTCL cases and healthy individuals were investigated using metabolomics and ultrahigh performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF/MS). Results: Principal component analysis (PCA) of the spectra showed clear metabolic changes between the two groups. Thirty six potential biomarkers associated with CTCL were found. Conclusions: Based on PCA, several biomarkers were determined and further identified by LC/MS/MS analysis. All of these could be potential early markers of CTCL. In addition, we established that heparin as a nticoagulant has better pre-treatment results than EDTA with the UHPLC-QTOF/MS appraoch.