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    Analysis of the correlation between thyroid hormones and thyroid volume by gender: A volumetric computed tomography study
    (2022) Öner, Zülal; Öner, Serkan; Secgin, Yusuf; Toy, Şeyma
    The aim of this study was to evaluate the correlation between triiodothyronine (T3), thyroxine (T4), and thyroid-stimulating hormone (TSH) hormones and thyroid gland volume with volumetric analysis performed by using computed tomography (CT) images. In this retrospective study, IV contrasted thoracic CT images taken for different indications between 2019 January and 2020 January were scanned from the archive system of the hospital. 67 (31F, 36M) individuals chosen randomly among patients whose CT results were reported as normal and who had taken thyroid hormone tests within the past week were included in the study. Images in Digital Imaging and Communications in Medicine format were transferred to the personal work station program (Horos Medical Image Viewer). By using the Region of Interest (ROI) console in the current program, a three dimensional model was obtained by drawing the border of the thyroid gland in sections varying between 15 and 25. Volume values of this three-dimensional model and TSH, T3, T4 values of the individuals were compared. While no correlation was found between thyroid gland volume and T3 and T4 hormones, a negative significant correlation was found with TSH. In terms of gender, thyroid gland volume, T3, T4 values were found to be statistically significantly higher in women when compared with men (p?0.05). TSH value was found to be higher in women when compared with men (p=0.005). No statistically significant difference was found in T4 value (p=0.057). Radio-anatomical volumetric data of the thyroid gland presented in this study and its correlation with thyroid functions will be beneficial to clinicians working in the field in both internal and surgical medicine branches and will also guide future studies.
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    Associating craniofacial morphometry determined by photo analysis with somatotype in healthy young individuals
    (2023) Toy, Şeyma; Şenol, Deniz; Öner, Zülal
    Objectives: Evaluation of the relationship between craniofacial parameters and somatotype provides important contributions to specialist physicians and anatomists in determining diseases and obtaining objective results of anthropometric measurements. The study was designed in line with this hypothesis and the aim was to find out how this relationship changed in healthy individuals. Methods: The study was conducted by examining 191 healthy individuals between the ages of 18 and 30. The individuals’ faces were photographed from a distance of 1 meter and craniofacial parameters were measured in Image J program. Somatotype analysis was conducted by using Heath-Carter somatotype method. Results: As a result of our study, the individuals were found to be grouped in four classes according to Heath-Carter somatotype method: (1) mesomorph endomorph, (2) endomorph ectomorph, (3) endomorph mesomorph and (4) central. Significant correlation was found between the second and first somatotype groups in terms of total nasal length, while significant correlation was found between second and first/second and third/fourth and third/first and third somatotype groups in terms of body mass index (BMI) parameter (p < 0.05). Craniofacial parameters were also evaluated and a very high correlation was found between total facial height and mandibular height, while there was a high correlation between total facial height and the other 16 parameters. Conclusions: As a result of our study, a relationship was found between somatotype groups and craniofacial parameters, within craniofacial parameters, and between somatotype and BMI. We believe that this relationship will guide morphological studies in basic medical sciences and surgical interventions in clinical sciences.
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    A study on sex estimation by using machine learning algorithms with parameters obtained from computerized tomography images of the cranium
    (Nature Portfolio, 2022) Toy, Seyma; Secgin, Yusuf; Öner, Zülal; Turan, Muhammed Kamil; Oner, Serkan; Senol, Deniz
    The aim of this study is to test whether sex prediction can be made by using machine learning algorithms (ML) with parameters taken from computerized tomography (CT) images of cranium and mandible skeleton which are known to be dimorphic. CT images of the cranium skeletons of 150 men and 150 women were included in the study. 25 parameters determined were tested with different ML algorithms. Accuracy (Acc), Specificity (Spe), Sensitivity (Sen), F1 score (F1), Matthews correlation coefficient (Mcc) values were included as performance criteria and Minitab 17 package program was used in descriptive statistical analyses. p <= 0.05 value was considered as statistically significant. In ML algorithms, the highest prediction was found with 0.90 Acc, 0.80 Mcc, 0.90 Spe, 0.90 Sen, 0.90 F1 values as a result of LR algorithms. As a result of confusion matrix, it was found that 27 of 30 males and 27 of 30 females were predicted correctly. Acc ratios of other MLs were found to be between 0.81 and 0.88. It has been concluded that the LR algorithm to be applied to the parameters obtained from CT images of the cranium skeleton will predict sex with high accuracy.
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    A study on the correlation between spleen volume estimated via cavalieri principle on computed tomography images with basic hemogram and biochemical blood parameters
    (Medrang, 2022) Sahin, Necati Emre; Öner, Zülal; Oner, Serkan; Turan, Muhammed Kamil
    Considering its hematological and immunological functions, spleen is a very important organ. A change occurs in its size as the spleen performs these functions. This study aims to examine the possible relationships between spleen volume and the basic hemogram and biochemical parameters in serum. Multidetector computed tomography images and basic hemogram and biochemical parameters of 74 adult individuals, 34 male and 40 female, who were found to be healthy, were used in the study. Spleen volume was estimated using the Cavalieri method on multidetector computed tomography images and the correlations between the volume value with basic hemogram and biochemistry parameters were researched. While negative significant correlations were found between the estimated spleen volume and lymphocyte percentage (r=-0.224) and platelet level (r=-0.271); positive significant correlations were found between hemoglobin level (r=0.228), hematocrit level (r=0.237), alanine aminotransferase (r=0.345), and erythrocyte level (r=0.375). As a result of this study, a relationship was found between spleen volume and lymphocyte percentage, hematocrit level, erythrocyte level, platelet level, and alanine aminotransferase level in serum. We believe that the results of the study will provide a larger perspective to clinicians in the diagnosis of diseases associated with spleen.