Yazar "Senol, Deniz" seçeneğine göre listele
Listeleniyor 1 - 11 / 11
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Analysis of Body Composition and Dynamic and Static Balance in Individuals Previously Infected with COVID-19(Galenos Publ House, 2023) Bodur, Furkan; Senol, Deniz; Sencan, Demet; Ozer, Cenk MuratObjective: This study examines body composition and the parameters of dynamic and statistic balance in individuals previously infected with coronavirus disease-2019 (COVID-19) and to compare these individuals with the control group. Methods: A total of 112 volunteering individuals, 56 individuals previously diagnosed with COVID-19 via polymerase chain reaction test (COVID-19 group), and 56 healthy individuals (control group), between the ages of 18 and 26 participated in the study. Sociodemographic characteristics of the individuals in both groups and their COVID-19 related information were recorded. While Tanita BC 418 (Tokyo, Japan, 2015) operating with bioelectrical impedance was used for body composition measurement, the flamingo balance test and Y balance test were used respectively for static and dynamic balance measurements. Results: Because of the statistical analysis conducted, it was found that the COVID-19 group had a statistically significant lower balance level than the control group according to the Y balance test anterior, posterolateral, posteromedial, total reach values and flamingo balance test values in terms of balance performance (p<0.05). Conclusion: Because of the study, no significant difference was found in the body composition of individuals aged 18-26 previously infected with COVID-19 compared with healthy individuals of the same age. In terms of static and dynamic balance parameters, it was found that those who were previously infected with COVID-19 were more negatively affected than the control group. We think that determining these balance disorders seen after the COVID-19 infection will be a guide in planning rehabilitation programs for actual needs.Öğe Analysis of the effects of hypothalamic-pituitary-adrenal axis activity in menstrual cycle on ankle proprioception, dynamic balance scores and visual-auditory reaction times in healthy young women(Jmni, 2021) Senol, Deniz; Ucar, Cihat; Toy, Seyma; Kisaoglu, Aysegul; Ozbag, Davut; Ersoy, Yuksel; Yildiz, SedatObjectives: Menstrual cycle (MC) can affect not only the female reproductive system, but also functions such as neuromuscular performance. For this reason. the aim of this study is to investigate the effect of hypothalamic-pituitary-adrenal axis (HPA) activity in MC on proprioception, balance and reaction times. Methods: For cortisol analysis, saliva samples were taken from the same women (n=43) in the four phases of MC. While State Trait Anxiety Inventory-I (STAI-I) was applied in each phase to support cortisol analysis, pain was measured with visual analogue scale (VAS). Proprioception, dynamic balance, visual and auditory reaction times (VRT-ART) measurements were made in the four phases of MC. Results: Cortisol, STAI-I and VAS scores, angular deviations in proprioception measurements, dynamic balance scores, VRT and ART measurements were found to show statistically significant difference between MC phases (p<0.05). As a result of the post hoc test conducted to find out which MC phase the statistical difference resulted from, it was found that statistically significant difference was caused by the mensturation (M) phase (p<0.05). Conclusions: It was found that neuromuscular performance and postural control was negatively affected by HPA axis activity in M phase of MC and by pain, which is a significant menstrual symptom.Öğe Analysis of the effects of total pneumatized turbinate volume on septum deviation, maxillary sinus volume, and maxillopalatal parameters: A multidetector computerized tomography study(Wolters Kluwer Medknow Publications, 2023) Senol, Deniz; Oner, Serkan; Secgin, Yusuf; Oner, Zulal; Toy, SeymaIntroduction: The aim of this study was to examine the effects of pneumatized turbinate volume (PTV) on nasal septum deviation (NSD), maxillary sinus volume (MSV), and maxillopalatal parameters with multidetector computed tomography (MDCT). Material and Methods: MDCT images of a total of 73 patients (35 females and 38 males) between the ages of 25 and 58 years were used in the study. PTV, MSV, and NSD angle and direction and interalveolar distance (IAD), maxillary spin distance (MSD), and maxillopalatal angle (MPA) measurements were made on images brought to the orthogonal plane in 3 plans. Results: Turbinate pneumatization (superior, middle, or inferior) was found in a total of 55 (75.3%) patients (28 females and 27 males). The number of patients with turbinate pneumatization on the right side was 14 (19.2%), while the number of patients with turbinate pneumatization on the left side was 15 (20.5%) and the number of bilateral pneumatization was 26 (35.6%). While no significant association was found between the presence of turbinate pneumatization and septal deviation angle, MSV, MPA, IAD, and MSD measurements, a significant difference was found between the groups in terms of PTV (P < 0.05). No significant association was found between NSD direction and all parameters. Discussion and Conclusion: In this study, we conducted with MDCT images, in addition to the highest incidence in turbinate pneumatization with 75.3%; it was found that PTV did not have an effect on NSD amount, MSV, and maxillopalatal parameters. Men were found to have higher NSD angle, higher maxillary sinus aeration, and larger IAD when compared with women.Öğe Can Typical Cervical Vertebrae Be Distinguished from One Another by Using Machine Learning Algorithms? Radioanatomic New Markers(Duzce Univ, Fac Medicine, 2023) Senol, Deniz; Secgin, Yusuf; Toy, Seyma; Oner, Serkan; Oner, ZulalObjective: The aim of this study is to distinguish the typical cervical vertebrae that cannot be separated from one another with the naked eye by using machine algorithms (ML) with measurements made on computerized tomography (CT) images and to show the differences of these vertebrae.Methods: This study was conducted by examining the 536 typical cervical vertebrae CT images of 134 (between the ages of 20 and 55) individuals. Measurements of cervical vertebrae were made on coronal, axial and sagittal section. 6 different combinations (Group 1: C3 - C4, Group 2: C3 - C5, Group 3: C3 - C6, Group 4: C4 - C5, Group 5: C4 - C6, Group 6: C5 - C6) were formed with parameters of each vertebrae and they were analyzed in ML algorithms. Accuracy (Acc), Matthews correlation coefficient (Mcc), Specificity (Spe), Sensitivity (Sen) values were obtained as a result of the analysis.Results: As a result of this study, the highest success was obtained with Linear Discriminant Analysis (LDA) and Logistic Regression (LR) algorithms. The highest Acc rate was found as 0.94 with LDA and LR algorithm in Groups 3 and Group 4, the highest Spe value was found as 0.95 with LDA and LR algorithm in Group 5, the highest Mcc value was found as 0.90 with LDA and LR algorithm in Group 5 and the highest Sen value was found as 0.94 with LDA and LR algorithm in Groups 3 and 5. Conclusions: As a conclusion, it was found that typical cervical vertebrae can be distinguished from each other with high accuracy by using ML algorithms.Öğe Comparison of the Effects of the Somatotype on the Physical Activity, Kinesiophobia, and Fatigue Levels of Obstructive Sleep Apnea Syndrome Patients and Healthy Individuals(Iranian Scientific Society Medical Entomology, 2021) Toy, Seyma; Ciftci, Rukiye; Senol, Deniz; Kizilay, Fatma; Ermis, HilalBackground: We aimed to compare the physical activity, kinesiophobia, and fatigue levels of obstructive sleep apnea syndrome (OSAS) patients and healthy individuals in terms their somatotypes. Methods: A total of 165 individuals were enrolled referred to the Department of Chest Diseases Sleep Disorders Center Outpatient Clinic of Inonu University, Malatya, Turkey in 2018. The somatotype analysis was conducted using the Heath- Carter method, the fatigue level was assessed using the Functional Assessment of Chronic Illness Therapy (FACIT) fatigue scale, the kinesiophobia level was assessed using the Tampa Scale for Kinesiophobia (TSK), and the physical activity level was assessed using the International Physical Activity Questionnaire (IPAQ). Results: The results of the somatotype analysis revealed 3 different somatotypes in the healthy individuals and the OSAS patients' mesomorph endomorph, endomorphic mesomorph, and mesomorphic endomorph. When comparing the somatotypes of the healthy individuals and the OSAS patients, statistically significant differences were found in the FACIT scores of the mesomorph endomorphs, the IPAQ and FACIT scores of the endomorphic mesomorphs, and the TSK and FACIT scores of the mesomorphic endomorphs (P<0.05). Conclusion: In all three somatotypes of the OSAS patients, the fatigue index scores were higher when compared to those of the healthy individuals. Moreover, when compared with the healthy individuals, the physical activity levels of the endomorphic mesomorphs with OSAS were low, while the kinesiophobia scores of the mesomorphic endomorphs with OSAS were high. Based on the results of this study, in OSAS patients, the endomorphic mesomorph somatotype could be a risk factor for reduced physical activity, while the mesomorphic endomorph somatotype could be a risk factor for increased kinesiophobia.Öğe Evaluation of early thyroidectomy complications(Bayrakol Medical Publisher, 2022) Karatas, Turgay; Selcuk, Engin Burak; Karatas, Mehmet; Yildirim, Atilla; Ozbag, Davut; Cay, Mahmut; Senol, DenizAim: Our aim in this study is to reveal the relationships between patient findings, surgical methods and early thyroidectomy complications. Material and Methods: The files and operative notes of 308 patients who underwent thyroidectomy within 10 years were reviewed retrospectively. Gender, age, preoperative diagnosis, primary or reoperated cases, the type of thyroidectomy [ bilateral subtotal (BST), bilateral total (BTT), unilateral subtotal (UST) and unilateral total (UTT)] and early postoperative complications (hypocalcemia, bleeding, nervus laryngeus recurrens (NLR) injury, infection and seroma) were recorded. The peculiarity of this study is that NLR neuromonitoring was not used in thyroidectomy operations. Results: Of the 308 patients who underwent thyroidectomy, 287 were females and 21 were males. Two hundred eighty three cases of multinodular goiter, 18 cases of nodular goiter and 7 thyroid cancers were operated; 180 BTT, 100 BST, 17 UTT + UST, 7 UST and 4 UTT were applied. Complications were seen in a total of 20 (6.49%) patients who underwent 19 BTT and 1 BST. The only complication in BST was bleeding. There were 10 (3.24%) hypocalcemia, 4 (1.29%) bleeding, 2 (0.649%) NLR injury, 2 (0.649%) infections and 2 (0.649%) seromas. In terms of the frequency of early thyroidectomy complications, hypocalcemia was the first (P=0.0047). In addition, the rates of hypocalcemia and NLR injury were higher in reoperated patients than in primary patients (P<0.05). Discussion: The most common complication was hypocalcemia. NLR injury and hypocalcemia rates were higher in reoperated cases who underwent BTT.Öğe Evaluation of Willis Polygon Morphometry with Cranial Tomographic Angiography(Turkish Neurosurgical Soc, 2023) Ciftci, Rukiye; Cetin, Aymelek; Ulubaba, Hilal Er; Senol, Deniz; Cinarli, Fahri Safa; Ozbag, DavutAIM: To examine the morphometric properties of the vessels forming the Willis polygon (WP) in patients with type 2 diabetes mellitus (T2DM) and hypertension (HT) and compare them with healthy individuals.MATERIAL and METHODS: Cranial Tomography Angiography (CTA) of 168 individuals were analyzed retrospectively. The individuals included in the study were divided into four groups according to the diagnosis. Group 1 included 40 individuals who were diagnosed with HT, Group 2 included 43 individuals who were diagnosed with DM, Group 3 included 42 individuals who were diagnosed with DM and HT, and Group 4 was the control group and included 43 individuals. The diameter and length measurements of the vesselsRESULTS: According to the results of the Kruskal Wallis H test, in female patients statistically significant differences were detected in the diameter measurements of the right and left A1 segment of the ACA, the diameter measurement of the left A2 segment, the diameter measurements of the right and left P1 and P2 segments of the ACP, the diameter measurements of the right and left AComP. (p<0.05), in male patients statistically significant differences were found in the diameter of the right A1 segment of the ACA, the diameter and segment length measurements of the right and left P1 segments of the ACP, of the right and left P2 diameter measurements, and segment length measurements of the left AComP (p<0.05).CONCLUSION: We also found that the vessel diameters were similar in the HT, DM and HT+DM groups, and smaller than the control group. In addition, we think that knowing WP morphometric measurements will both guide the radio-anatomical evaluations to be made and increase the level of microanatomical knowledge in surgical treatment.Öğe Gender Prediction Using Cone-Beam Computed Tomography Measurements from Foramen Incisivum: Application of Machine Learning Algorithms and Artificial Neural Networks(Wolters Kluwer Medknow Publications, 2024) Senol, Deniz; Secgin, Yusuf; Harmandaoglu, Oguzhan; Kaya, Seren; Duman, Suayip Burak; Oner, ZuelalIntroduction: This study aims to predict gender using parameters obtained from images of the foramen (for.) incisivum through cone-beam computed tomography (CBCT) and employing machine learning (ML) algorithms and artificial neural networks (ANN).Materials and Methods: This study was conducted on 162 individuals in total. Precise measurements were meticulously extracted, extending from the foramen incisivum to the arcus alveolaris maxillaris, through employment of CBCT. The ML and ANN models were meticulously devised, allocating 20% for rigorous testing and 80% for comprehensive training.Results: All parameters that are evaluated, except for the angle between foramen palatinum majus and foramen incisivum-spina nasalis posterior (GPFIFPNS-A), exhibited a significant gender difference. ANN and among the ML algorithms, logistic regression (LR), linear discriminant analysis (LDA), and random rorest (RF) demonstrated the highest accuracy (Acc) rate of 0.82. The Acc rates for other algorithms ranged from 0.76 to 0.79. In the models with the highest Acc rates, 14 out of 17 male individuals and 13 out of 16 female individuals in the test set were correctly predicted.Conclusion: LR, LDA, RF, and ANN yielded high gender prediction rates for the measured parameters, while decision tree, extra tree classifier, Gaussian Naive Bayes, quadratic discriminant analysis, and K-nearest neighbors algorithm methods provided lower predictions. We believe that the evaluation of measurements extending from foramen incisivum to arcus alveolaris maxillaris through CBCT scanning proves to be a valuable method in gender prediction.Öğe Morphometric examination of the hepatobiliary duct system in healthy individuals and patients with cholelithiasis: A radio-anatomic magnetic resonance cholangiopancreatography study(Cukurova Univ, Fac Medicine, 2023) Toy, Seyma; Senol, Deniz; Ciftci, Rukiye; Sevgi, Serkan; Secgin, Yusuf; Yildirim, Ismail OkanPurpose: Cholelithiasis is a common gallbladder disease with high morbidity and treatment cost. Although the disease has many formation factors such as bile duct obstruction, congenital anomalies, genetic and metabolic diseases, the main cause is gallstones. The aim of this study is to examine the radio-anatomic and demographic characteristics of the bile ducts of patients who have cholelithiasis due to gallstones by using magnetic resonance cholangiopancreatography (MRCP) and to compare with healthy individuals.Materials and Methods: The study was carried out by retrospectively scanning the MRCP images of 113 patients diagnosed with cholelithiasis and 87 healthy individuals who were referred to the hospital for various indications and had no gallbladder pathology. Results: According to the Spearman rho correlation test performed by ignoring gender, a significant correlation was found between right hepatic duct diameter (RHD-D) and right hepatic duct - cystic duct angle (RHDCD-A), and between left hepatic duct diameter (LHD-D) and common bile duct diameter (CBD-D). In the correlation analysis performed only among males, a significant correlation was found between RHDCD-A and right hepatic duct - left hepatic duct angle (RLHD-A), RHDCD-A and common hepatic duct diameter (CHD-D) parameters. In the correlation analysis performed only among women, a significant relationship was found between age and RHD-D, LHD-D, CHD-D, CBD-D, between RHDCD-A and cystic duct - gallbladder angle (CDG-A), RHD-D, and between CHD-D and cystic duct diameter (CD-D).Conclusion: This study will contribute to literature by revealing the morphometric characteristics and radio -anatomic information of the hepatobiliary systems of both patients with cholelithiasis and healthy individuals.Öğe Morphometry of the Middle Cerebral Arteries: A Radio-Anatomical Study Based on Computed Tomography Angiography Findings(Soc Chilena Anatomia, 2023) Ciftci, Rukiye; Toy, Seyma; Ulubaba, Hilal Er; Senol, Deniz; Cinarli, FS.; Sigirci, AhmetMiddle cerebral artery (MCA), which has the largest irrigation area of the arteries that feed the brain, is an important artery whose microanatomy should be well known because of its vascular variation. In pathologies which are known to affect the cerebrovascular system such as type 2 diabetes mellitus (T2DM) and hypertension, morphometric characteristics of MCA gain importance. The aim of this study is to compare the morphometric characteristics of M1 segment of MCA in T2DM and hypertensive patients with those of healthy control group by using computed tomographic angiography (CTA). The study was carried out with retrospective morphometric analysis of CTA images of 200 individuals between 40 and 65 years of age. The individuals were grouped in four as hypertensive patients (group 1), patients with T2DM (group 2), patients with hypertension and T2DM (group 3) and healthy control group (group 4). Length and diameter measurements of M1 segment were performed and recorded by using 3D CTA images. While statistically significant difference was found between bilateral M1 segment diameters of both women and men (p<0.05), no statistically significant difference was found between segment lengths (p>0.05). As a result of the post hoc analysis performed, it was concluded that right and left M1 segment diameter of group 1, group 2 and group 3 was found to be different from group 4 in both sexes (p<0.05). We believe that this study will both be a guide in radio-anatomic assessments to be performed and also increase microanatomic level of information in the surgical treatment of the artery by showing the morphometric changes that occur in M1 segment of MCA in T2DM diseases.Öğe Sex and age estimation with machine learning algorithms with parameters obtained from cone beam computed tomography images of maxillary first molar and canine teeth(Int Assoc Law & Forensic Sciences, 2023) Senol, Deniz; Secgin, Yusuf; Duman, Burak Suayip; Toy, Seyma; Oner, ZulalBackgroundThe aim of this study is to obtain a highly accurate and objective sex and age estimation by using the parameters of maxillary molar and canine teeth obtained from cone beam computed tomography images in the input of machine learning algorithms. Cone beam computed tomography images of 240 people aged between 25 and 54 were randomly selected from the archive systems of the hospital and transferred to Horos Medikal. 3D curved multiplanar reconstruction was applied to these images and a 3D image was obtained. The resulting image was brought to the orthogonal plane and the measurements were made by superimposing them.ResultsThe results were grouped in four different age groups (25-30, 31-36, 37-49, 50-54) and recorded. As a result of our study, the highest accuracy rate was found as 0.81 in sex estimation with ADA Boost Classifier algorithm, while in age estimation, the highest accuracy rate was found as 0.84 between 25-30 and 31-36 age groups with random forest algorithm, as 0.74 between 25-30 and 37-49 age groups with random forest and ADA Boost Classifier algorithms and as 0.85 between 25-30 and 50-54 age groups with random forest algorithm.ConclusionsOur study differs from other studies in two aspects; the first is the selection of a sensitive method such as cone beam computed tomography, and the second is the selection of machine learning algorithms. As a result of our study, the highest accuracy rate was found as 0.81 in sex estimation and as 0.85 in age estimation with parameters of maxillary canine and molar teeth.
