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      • Could the Platelet-to-Lymphocyte Ratio be a Novel Marker for Predicting Invasiveness of Cervical Pathologies?

        Kose, Mesut,Celik, Fatih,Kose, Seda Kayman,Arioz, Dagistan Tolga,Yilmazer, Mehmet Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.3

        Purpose: To determine whether the preoperative platelet to lymphocyte ratio (PLR) could predict invasiveness of cervical pathologies. Materials and Methods: Patients with preinvasive and invasive diseases were reviewed retrospectively, over a nine-year period, 2005-2014. The pathological records and completed blood counts of the patients were collected and recorded in the SPSS program. Patients were divided in two groups, preinvasive and invasive. Results: The median PLR was significantly higher in the invasive group than in the preinvasive group (p=0.03). There was a correlation between invasion of cervical cancer and white blood cell count, red cell distributing width (RDW), neutrophil-lymphocyte ratio (NLR), and PLR. Conclusions: This study showed that patients with uterine cervical cancer may present with leukocytosis, increased RDW, NLR and PLR. These cheap and easily available parameters, especially PLR, may provide useful information about the invasiveness of cervical lesions.

      • KCI등재

        Ultrasound-guided PENG block versus intraarticular corticosteroid injection in hip osteoarthritis: a randomised controlled study

        Selin Guven Kose,Halil Cihan Kose,Feyza Celikel,Serkan Tulgar,Omer Taylan Akkaya 대한통증학회 2023 The Korean Journal of Pain Vol.36 No.2

        Background: This study aimed to compare the effectiveness of the pericapsular nerve group (PENG) block and intra-articular injection (IAI) of steroid-bupivacaine in the treatment of hip osteoarthritis (OA). Methods: After randomization, patients received either a PENG block or IAI under ultrasound-guidance. Clinical evaluations were recorded at baseline, day 1, and weeks 1, 4, and 8 post-intervention. The numerical rating scale (NRS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), Harris Hip Scale (HHS) scores, pain medication use determined by a quantitative analgesic questionnaire, and patient satisfaction were evaluated. Results: Sixty patients were included in this study. NRS scores improved significantly for both groups during the follow-up compared to pretreatment (P < 0.001), with better pain scores for the PENG group (P < 0.001) at day 1 with larger effect size (Cohen’s d = 4.62), and IAI group at 4 (Cohen’s d = 5.15) and 8 (Cohen’s d = 4.33) weeks (P < 0.001). There was no significant difference in pain medication consumption (P = 0.499) and patient satisfaction (P = 0.138) between groups. Patients in the IAI group experienced significant improvement in HHS (Cohen’s d = 2.16, P = 0.007) and WOMAC (Cohen’s d = 1.02, P = 0.036) scores at 8 weeks compared to the PENG group. Conclusions: The ultrasound-guided PENG block provides effective pain relief which improves functionality and quality of life in hip OA patients up to 2 months. The PENG block can be considered an easy, safe, and useful alternative treatment modality for hip OA.

      • SCOPUSKCI등재SCIE
      • KCI등재

        Predictive factors associated with successful response to utrasound guided genicular radiofrequency ablation

        Selin Guven Kose,Halil Cihan Kose,Feyza Celikel,Omer Taylan Akkaya 대한통증학회 2022 The Korean Journal of Pain Vol.35 No.4

        Background: Ultrasound-guided genicular nerve radiofrequency (RF) procedures are of interest in the management of chronic knee pain. A wide variety of demographic, clinical, and procedural characteristics can affect treatment success. This study aimed to determine predictive factors to provide superior treatment outcomes. Methods: The demographic, clinical, and technical data of patients who received genicular nerve RF for knee pain between September 2016 and September 2021 were evaluated. A positive outcome was defined as at least 50% pain relief on a pain score for at least 6 months. Logistic regression analysis was performed to determine the factors associated with a successful response to genicular RF. Results: Among 206 patients who underwent genicular RF, 62% of the patients reported successful outcomes at 6 months. In the multivariate model, targeting 5 nerves (odds ratio [OR], 6.184; 95% confidence interval [CI], 2.291–16.690; P < 0.001) was the most significant predictor of successful outcomes. Multivariable logistic regression analysis showed that prognostic genicular nerve block with a 50% cut-off value (OR, 2.109; 95% CI, 1.038–4.287; P = 0.039), no opioid use (OR, 2.753; 95% CI, 1.405–5.393; P = 0.003), and depression (OR, 0.297; 95% CI, 0.124–0.713; P = 0.007) were the predictive factors significantly associated with response to genicular RF. Conclusions: Clinical and technical factors associated with better treatment outcomes were ultimately targeting more nerves, performing prognostic block, no opioid use, and no depression. These results are expected to be considered when selecting patients for genicular RF.

      • KCI등재

        Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographs

        Kise Yoshitaka,Ariji Yoshiko,Kuwada Chiaki,Fukuda Motoki,Ariji Eiichiro 대한영상치의학회 2023 Imaging Science in Dentistry Vol.53 No.1

        Purpose: The aim of this study was to clarify the influence of training with a different kind of lesion on the perfor- mance of a target model. Materials and Methods: A total of 310 patients (211 men, 99 women; average age, 47.9±16.1 years) were selected and their panoramic images were used in this study. We created a source model using panoramic radiographs including mandibular radiolucent cyst-like lesions (radicular cyst, dentigerous cyst, odontogenic keratocyst, and ameloblastoma). The model was simulatively transferred and trained on images of Stafne’s bone cavity. A learning model was created using a customized DetectNet built in the Digits version 5.0 (NVIDIA, Santa Clara, CA). Two machines (Machines A and B) with identical specifications were used to simulate transfer learning. A source model was created from the data consisting of ameloblastoma, odontogenic keratocyst, dentigerous cyst, and radicular cyst in Machine A. Thereafter, it was transferred to Machine B and trained on additional data of Stafne’s bone cavity to create target models. To investigate the effect of the number of cases, we created several target models with different numbers of Stafne’s bone cavity cases. Results: When the Stafne’s bone cavity data were added to the training, both the detection and classification performances for this pathology improved. Even for lesions other than Stafne’s bone cavity, the detection sensitivities tended to increase with the increase in the number of Stafne’s bone cavities. Conclusion: This study showed that using different lesions for transfer learning improves the performance of the model.

      • Mothers' Knowledge and Attitudes about HPV Vaccination to Prevent Cervical Cancers

        Kose, Dilek,Erkorkmaz, Unal,Cinar, Nursan,Altinkaynak, Sevin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.17

        Background: Cervical cancer which is one of the most preventable cancers is an important public health problem worldwide, and especially in developing countries. The aim of this study was to determine knowledge and attitudes about the HPV vaccination of mothers with 0- to 18-year old children. Materials and Methods: Written approval was taken from the local authorities. The study subjects consisted of 799 mothers who agreed to participate. The data were collected via a "Personal Information Form" which included 30 questions that were prepared by the researchers themselves in line with the literature. The data were collected by face to face interviews with the mothers. Analyses were performed using commercial software. Results: The mean age of the mothers who participated in the study was $32.0{\pm}6.52$, and 88.1% reported no information about HPV, and 83.5% no information about HPV vaccination. Only 0.7% of the mothers had daughters who had HPV vaccination, and 44.3% of the mothers who had sons were found out to be indecisive about having HPV vaccination. There was a significant corelation between the educational status of the mothers and their knowledge about HPV vaccination (p<0.05). However, there was no significant correlation in terms of economic conditions (p>0.05). Conclusions: This study suggested that mothers had very little information on HPV and HPV vaccination. Knowledge of the disease and its vaccination is an essential factor for the success of the vaccination program. It is of great importance that mothers are trained in this subject by health professionals.

      • SCIESCOPUS

        Effects of infill walls on RC buildings under time history loading using genetic programming and neuro-fuzzy

        Kose, M. Metin,Kayadelen, Cafer Techno-Press 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.3

        In this study, the efficiency of adaptive neuro-fuzzy inference system (ANFIS) and genetic expression programming (GEP) in predicting the effects of infill walls on base reactions and roof drift of reinforced concrete frames were investigated. Current standards generally consider weight and fundamental period of structures in predicting base reactions and roof drift of structures by neglecting numbers of floors, bays, shear walls and infilled bays. Number of stories, number of bays in x and y directions, ratio of shear wall areas to the floor area, ratio of bays with infilled walls to total number bays and existence of open story were selected as parameters in GEP and ANFIS modeling. GEP and ANFIS have been widely used as alternative approaches to model complex systems. The effects of these parameters on base reactions and roof drift of RC frames were studied using 3D finite element method on 216 building models. Results obtained from 3D FEM models were used to in training and testing ANFIS and GEP models. In ANFIS and GEP models, number of floors, number of bays, ratio of shear walls and ratio of infilled bays were selected as input parameters, and base reactions and roof drifts were selected as output parameters. Results showed that the ANFIS and GEP models are capable of accurately predicting the base reactions and roof drifts of RC frames used in the training and testing phase of the study. The GEP model results better prediction compared to ANFIS model.

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