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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 insulin resistance be predicted with vitamin B12, ferritin, vitamin D and demographic information using machine learning algorithms?(2024) Yigit, Meltem; Seçgın, Yusuf; Oner, Zulal; Olukman, OzgurIn this study, we aimed to investigate the relationship between insulin resistance and vitamin D, vitamin B12 and ferritin levels. Between January 2022 and October 2023, 322 patients (133 females, 189 males) between the ages of 3-16 years who were admitted to the Pediatrics outpatient clinics of İzmir Bakırçay University Çiğli Training and Research Hospital were included. Pediatric patients with no known chronic disease and measured vitamin B12, vitamin D, ferritin and HOMA- IR levels were retrospectively included in the study. Individuals with HOMA-IR<2.5 were considered as (normal) controls and those with HOMA-IR≥2.5 were considered as insulin resistant children. HOMA-IR groups were predicted with an accuracy rate of 0.80 with the Random Forest (RF) algorithm, one of the machine learning algorithms. In addition, the highest contribution of RF to the determination of HOMA-IR with the SHAP analyzer was found to be provided by age, followed by vitamin B12. The results of the study revealed that vitamin B12, vitamin D, ferritin level and age are important factors on insulin resistance. Early vitamin D, vitamin B12 and ferritin replacement is important for the control of metabolic diseases in the future.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 Determination of Sex Differences Using Machine Learning Algorithms and Artificial Neural Networks with Parameters Obtained from Basilar Artery(Universidad de la Frontera, 2024) Secgin, Yusuf; Erkartal, Halil Saban; Tatlı, Melike; Toy, Seyma; Oner, Zulal; Oner, SerkanThe determination of sex differences in anatomical structures is critical in establishing gold standard morphometric data in basic medical sciences, and in surgical and internal sciences in selecting the right area during invasive intervention and applying the correct intervention methodology appropriate to the area. The aim of this study is to determine the sex difference using Machine learning (ML) algorithms and Artificial neural networks (ANN) with parameters obtained from basilar artery. The study was performed on computed tomography angiography images of 63 women and 94 men. The following parameters were measured on the images: initial width of the right vertebral artery, initial width of the left vertebral artery, termination width of the right vertebral artery, termination width of the left vertebral artery, basilar artery width, and basilar artery length. The measurements were used in ML algorithms and ANN input to determine sex differences. As a result of the study, a sex difference rate of 0.84 was determined with the ML algorithms Random Forest (RF), Quadratic Discriminant Analysis (QDA), Extra Tree Classifier (ETC) and 0.84 with the Multilayer Perceptron Classifier (MLCP) algorithm of ANN. As a result of the study, sex difference was found with an accuracy rate of 0.84 using ML algorithms and ANN with parameters obtained from basilar artery. In this context, we think that this study will shed light on basic and clinical medical sciences. © 2024, Universidad de la Frontera. All rights reserved.Öğe Estimation of Gender by Costochondral Calcification Model Obtained from Computed Tomography Image(2022) Al-Samanee, Albaraa Rıyad Mohammmed; Oner, Zulal; Oner, SerkanBackground: Gender estimation plays a key role in human identification. Between the various meas-urement methods of gender estimation from skeletal remains, the use of the calcification patterns of costal cartilages is highly suggested especially when the skull and pelvic bones are not available. The purpose of this study is to determine the patterns of costal cartilage calcifications in the Turkish popula-tion and to predict gender accordingly.Materials and Methods: Our study was performed by using the Computed Tomography (CT) images of 200 individuals (100 female, 100 male) in the 20-60 age group who applied to Karabük University Train-ing and Research Hospital and had no costal pathology or surgery history. The classification of Rejta-rova et al. (2004) was used for the patterns of costal cartilage calcifications, and it was calculated the number and percentage of each pattern in male and female to estimate the gender.Results: The results showed 193 (96.5%) individuals with calcification in the costal cartilages and 7 (3.5%) individuals without calcification in their costal cartilages, which 3 females and 4 males. Peripher-al pattern (Type I) showed 100% male gender prediction, while central pattern (Type II) showed female gender prediction with 92.3%. Type III was the most common pattern with 66.8% in the Turkish popula-tion.Conclusions: As a result of this study, costal cartilage calcification models were obtained in the Turkish population using the method of Rejtarova et al (2004). Type I and Type II patterns showed high accuracy in terms of the usability of these models in predicting gender.Öğe Estimation of sex from femoral bone using radiological imaging methods in Turkish population(Schweizerbart Science Publishers, 2024) Bakici, Rukiye Sumeyye; Ocal, Zeynep Ayvat; Meral, Orhan; Oner, Zulal; Oner, SerkanSex estimation is leading to determine the biological profile in forensic medicine. The aim of this study is to research the effectiveness of logistic regression (LogR) and discriminant function analysis (DFA) to create sex estimation models on femur images obtained with Computed Tomography (CT) angiography and to address the differences of femur, which show sexual dimorphism, among populations. All parameters were measured on three planes by adjusting the 300 CT angiography images from 150 women and 150 men that focused on the left femur to the orthogonal plane with standard magnification. The subgroup, which included 30 images randomly generated from these images, was measured twice with an interval of 3 weeks by the first radiologist and once by the second radiologist. According to the Fisher’s Linear Discriminant analysis, which was evaluated with ten parameters in the study, it was concluded that the power of discriminating women was 96.7%, the power of discriminating men was 98.7%, and the total discrimination power was 97.7%; these results were 98%, 99.3%, and 98.7%, respectively according to LogR. In this study, DFA and LogR analysis showed that femur provided a very good rate of sexual dimorphism. A database belonging to the Turkish population was created for the femur, allowing for comparison between populations. © 2024 E. Schweizerbart’sche Verlagsbuchhandlung, 70176 Stuttgart, Germany.Öğe Evaluation of congenital rib anomalies with multi-detector computed tomography in the Turkish population(Via Medica, 2024) Oner, Zulal; Oner, Serkan; Sahin, Necati Emre; Cay, MahmutBackground: This study aimed to evaluate the congenital anomalies of ribs in the Turkish population using multi-detector computed tomography (CT) and to reveal the prevalence and distribution of these anomalies according to sexes and body sides. Materials and methods: This study included 1120 individuals (592 male, 528 female) over 18 who presented to our hospital with a suspicion of COVID-19 and who had thoracic CT. Anomalies such as a bifid rib, cervical rib, fused rib, Srb anomaly, foramen rib, hypoplastic rib, absent rib, supernumerary rib, pectus carinatum, and pectus excavatum, which were previously defined in the literature, were examined. Descriptive statistics were performed with the distribution of anomalies. Comparisons were made between the sexes and body sides. Results: A prevalence of 18.57% rib variation was observed. Females had 1.3 times more variation than males. Although there was a significant difference in the distribution of anomalies by sex (p = 0.000), there was no difference in terms of body side of anomaly (p > 0.05). The most common anomaly was the hypoplastic rib, followed by the absence of a rib. While the incidence of the hypoplastic rib was similar in females and males, 79.07% of the absent ribs was seen in females (p < 0.05). The study also includes a rare case of bilateral first rib foramen. At the same time, this study includes a rare case of rib spurs extending from the left 11(th) rib to the 11(th) intercostal space. Conclusions: This study demonstrates detailed information about congenital rib anomalies in the Turkish population, which may vary between people. Knowing these anomalies is essential for anatomy, radiology, anthropology, and forensic sciences.Öğe Evaluation of Craniovertebral Junction Anatomy by Gender and Age in the Anatolian Population(2024) Nalbant, Asrın; Bedre, Özden; Temelci, Halide; Oner, ZulalObjectives: The craniovertebral junction is a complex transition area between the skull and the cervical vertebra. This study aimed to evaluate the typical structure of the craniovertebral junction according to gender and age on comput- erized tomography (CT). Methods: In the study, 100 (50 female, 50 male) individuals between the ages of 25-45 who applied to Bakırçay Univer- sity Çiğli Training and Research Hospital between 2018 and 2022 and underwent head and neck CT scans were evalu- ated. Fourteen craniometric measurements were made on the sagittal plane. Results: In women, cervical lordosis angle, anterior atlantodental length, posterior atlantodental length, McRae line, dens axis length, Wackenheim clivus canal angle, craniocervical tilt angle, foramen magnum width, clivus length, pB- C2 line length, dens axis width and dens axis length values were found to be statistically significantly lower than men (p<0.05). In addition, a statistically significant difference was found between the Powers ratio and age groups. Conclusion: Craniovertebral junction anatomy and detecting anomalies are essential for radiologists and neurosur- geons, and CT is a suitable method to evaluate this junction. We think these findings obtained from healthy individuals with CT imaging will guide the evaluation of craniovertebral junction anomalies.Öğe Evaluation of Hand Morphometry in Healthy Young Individuals from Different Countries(Soc Chilena Anatomia, 2024) Sahin, Necati Emre; Bakici, Rukiye Sumeyye; Toy, Seyma; Oner, ZulalThis study aims to examine the hand morphometry of healthy young individuals from different countries and investigate the differences between countries in typing of hand based on the morphometric values obtained. In the study, 16 different parameters, including two surface areas and 14 lengths, were measured from the right hand of 579 volunteers (250 females, 329 males) from 7 different countries (Turkey, Chad, Morocco, Gabon, Kazakhstan, Senegal and Syria). Factor analysis was performed on the parameters, cluster analysis was performed according to the factor score obtained, and the hand types in the study were determined. As a result of the study, four different hand types were defined, and the distribution of these types according to countries was analyzed. All parameters showed significant differences between countries in both genders (p<0.05). According to the results of the study, there was a difference between male and female hand types between countries. In females, the type 1 hand type was found only in Gabon, the type 2 hand type was found only in Senegal, the type 3 hand type was found in Turkey, Morocco and Kazakhstan, while the type 4 hand type was significantly distributed in Senegal and Gabon (X-2 =104.62; df=18, p<0.05). In males, type 1 hand type was found in Turkey, type 2 hand type in Senegal and Gabon, type 3 hand type in Turkey, while type 4 hand type was significantly distributed in Morocco and Kazakhstan (X-2 =76.964; df=18, p<0.05).Öğe Evaluation of Oxidative System Parameters in Alzheimer's Disease Before Medical Treatment(Taiwan Soc Geriatric Emergency & Critical Care Medicine-Tsgecm, 2022) Ayada, Ceylan; Erbay, Umran Toru; Korkut, Yasemin; Guleken, Zozan; Oner, ZulalBackground: Alzheimer's disease (AD) is the most common reason for dementia and is one of the most important causes of morbidity and mortality in the aging population. A crucial component of AD is the brain's sensitivity to oxidative stress. We aimed to determine the oxidative load of patients with AD who had just been diagnosed and had not yet begun medical treatment.Methods: To assess oxidative load before drug administration, we compared the levels of serum total antioxidant (TAS), oxidant status (TOS), paraoxonase (PON1), arylesterase (ARES), total thiol (THIOL) levels in patients just diagnosed with AD (n = 41) and control (n = 45) with the totally 86 individuals. AD and control groups oxidative stress index (OSI) ratio was calculated too.Results: There was a statistically significant difference between the AD and control groups for mean TAS, TOS, and OSI levels with a 95% confidence level (pTAS = 0.001, pTOS = 0.005, pOSI = 0.001). There was not a statistically significant difference between the groups in terms of mean PON1, ARES, and THIOL values. Significantly negative and positive correlations were found for the interested parameters in both groups.Conclusion: The increase in antioxidative capacity in patients with AD may be related to ARES supported by TAS, and THIOL levels suggest, that those protein oxidation mechanisms are effective in the progress of AD disease before medication.Copyright (c) 2022, Taiwan Society of Geriatric Emergency & Critical Care Medicine.Öğe Evaluation of palmar creases of healthy young individuals of different countries(Cukurova Univ, Fac Medicine, 2024) Sahin, Necati Emre; Bakici, Rukiye Sumeyye; Oner, Zulal; Toy, SeymaPurpose: This study aims to evaluate the potential effects of gender and country factors on palmar creases by examining the palmar creases of young adults from various countries. Materials and Methods: The study involved a total of 220 volunteers, including 120 males and 100 females aged 18-30, from seven different countries (Jordan, Sudan, Somalia, Iran, Iraq, Tanzania and Turkey), as well as students from Karabuk University. Hand types were evaluated based on palmar creases and the number of origins for both hands. Total Degree of Transversality (TDoT) values for palmar creases were calculated. Classification of palmar creases and comparison of T -DoT values for both hands were performed between genders and countries. Results: The study analyzed 440 hands from 220 individuals, identifying 1 Simian, 8 Suwon, and 5 Sydneytype hands, while categorizing the remaining 426 hands as normal type. Regarding the number of palmar crease origins, it was observed that there was a single origin in 3 hands, two origins in 309 hands and three origins in 119 hands. Significant associations were found between genders and countries in the number of palmar crease origins. In addition, significant differences in right hand TDoT values were found between genders and countries. Conclusion: In spite of limitations in sample selection and size, these results are important in providing a basis for future in-depth research on palmar creases at later stages, although generalizability to the specific countries represented in the sample may be limited. Consequently, this study highlights variations among countries concerning both the number of palm crease origins and right-hand T -DoT values.Öğe Evaluation of the Differences in Parameters Obtained from the Computed Tomography Images of the Eyeball and the Structures in the Orbit by Age and Gender(2024) Akyer, Nurhan; Toy, Şeyma; Seçgin, Yusuf; Şenol, Deniz; Öner, Serkan; Oner, Zulal; Turan, Muhammed KamilObjective: The aim of this study is to show the variation of eyeball and orbital structures according to different age groups and gender. Method: The study was conducted on computerized tomography (CT) images of 4 age groups: 30-40, 41-50, 51-60, and over 61 years old. The parameters were, the angle between the optic nerve and axis of eyeball (A-Cr2AA), the length of the medial rectus muscle (MRML) and the length of the lateral rectus muscle (LRML) up to the Zinn ring, the thickness of the lens (LT), the length of the optic nerve from the Zinn ring (Cr2L), optic nerve thickness (Cr2T), distance between two eyeballs (BOD) and the others. Results: As a result of the study, in the comparison of males in four groups, significant difference was found between the groups in LT, Cr2L, A-Cr2AA, MRML parameters in the right eyeball and Cr2L and LRML parameters in the left eyeball (p<0.05). In the comparison of females in four groups, significant difference was found between the groups in BOD, LT, Cr2L, LRML, MRML in the right and left eyeball and Cr2T parameter in the left eyeball (p<0.05). Conclusion: As a result of the study, it was determined that age and gender differed in the determined parameters.Öğe Exploring the lacrimal sac fossa: anatomical insights for optimizing external dacryocystorhinostomy(Springer France, 2025) Duygu, Ozden Bedre; Govsa, Figen; Pinar, Yelda; Oner, ZulalBackgroundExternal dacryocystorhinostomy is considered the gold standard for treating epiphora resulting from nasolacrimal duct obstruction. Despite the success of the procedure, a visible facial skin scar often undermines the surgical outcome. The aim of this study is to prevent visible facial scarring following oculoplastic interventions by improving the insight into the anatomical details of the lacrimal sac fossa (LSF), lacrimo-maxillary suture (LMS), periosteum, and lacrimal diaphragm.MethodsThe study examined the medial canthal region of eighty adult male sspecimens to investigate the landmarks associated with the LSF. The periorbital area was dissected to reveal the skin, subcutaneous tissues, orbicularis oculi muscles, and the lacrimal drainage system, all of which were detached from their bony attachments. The lengths of the lacrimal crests, midline length, midline width, dorsolateral angle, composition of the LMS, and area of the LSF were evaluated using the ImageJ program. The LSF was categorized into six distinct shapes: ellipsoid, oval, inverted pear, straight pear, oblique hammer, and quadrangular.ResultsThe measurements of the anterior lacrimal crest averaged 2.2 +/- 0.4 cm, the posterior edge 2.0 +/- 0.4 cm, and the midline 1.9 +/- 0.3 cm. The area of the LSF was found to be 1.4 +/- 0.5 cm(2). The analysis reveals that about half of the LSF consists of equal parts maxillary and lacrimal bones. The dorsolateral angle values where the maxilla and os lacrimale equally contributed to the structure of the LSF were higher than those completely formed by the maxilla. The shapes of the LSF were classified as ellipsoid (35%), oblique hammer (21.3%), oval (13.7%), inverted pear (15%), with the ellipsoid type being the most frequent. The anterior lacrimal crest length of the oval-shaped LSF was shorter than that of the oblique hammer-shaped LSF. Similarly, the posterior lacrimal crest of the oval-shaped LSF was shorter than that of the oblique hammer-shaped LSF. The midline length of ellipsoid, oval, and inverted pear-shaped LSFs was shorter than that of oblique hammer-shaped LSFs.ConclusionThe length of anterior lacrimal crest and LMS are suggested as the most reliable navigational references for locating the type of LSF. Mastery of the transversal and vertical orientation of the LSF is essential for surgeons performing oculoplastic surgeries tailored to individual anatomical variations. This study is clinically valuable as it underscores the necessity for oculoplastic surgeons to adapt surgical techniques in response to anatomical differences encountered during surgery.Öğe Gender prediction using geometric morphometry with parameters of the cranium obtained from computed tomography images(Cukurova Univ, Fac Medicine, 2024) Secgin, Yusuf; Oner, Zulal; Oner, Serkan; Toy, SeymaPurpose:The gender difference of the cranium skeleton is of great importance in forensic anthropology and forensic medicine sciences. This study is based on this hypothesis and the gender prediction rate was obtained by processing cranium images obtained from computed tomography (CT) using geometric morphometry.Materials and Methods:CT images of 200 individuals between the ages of 25 and 65 were used in our study. The images were opened at the personal workstation Horos Medical Image Viewer (Version 3.0, USA) program and processed with 3D Curved Multiplanar Reconstruction (MPR). The line passing through the nasion and inion points of the images obtained as a result of the process was determined, and all images were brought to the orthogonal plane. Later, the images were overlapped and saved in JPEG format with 100% magnification. JPEG images saved were converted into TPS format, and 21 homologous landmarks were placed. Generalized Procrustes Analysis (GPA) and Principal Component Analysis (PCA) were applied to thecoordinates of landmarks, and shape variations and dimensionality were corrected by gathering the images to the center of gravity. Next, Linear Discriminant Analysis (LDA) was applied to the coordinates, the dimensionality of which was corrected. Results:The study found that 74.465% of the coordinates of 21 homologous landmarks gathered to the center of gravity could be explained with the first three PCs. As a result of the LDA applied to these coordinates, a gender prediction rate of 86.5% was obtained.In addition, a slight difference was found between the GPA sum of squares and the tangent sum of squares (0.57). Conclusion:The images of the cranium obtained from CT showed a high dimorphism by geometric morphometry analysisÖğe Gender prediction with the parameters obtained from pelvis computed tomography images and machine learning algorithms(Wolters Kluwer Medknow Publications, 2022) Secgin, Yusuf; Oner, Zulal; Turan, Muhammed Kamil; Oner, SerkanIntroduction: In the skeletal system, the most dimorphic bones employed for postmortem gender prediction include the bones in the pelvic skeleton. Bone measurements are usually conducted with cadaver bones. Computed tomography (CT) is an increasingly popular method due to its ease of use, reconstruction opportunities, and lower impact of age bias and provides a modern data source. Even when parameters obtained with different or same bones are missing, machine learning (ML) algorithms allow the use of statistical methods to predict gender. This study was carried out in order to obtain high accuracy in estimating gender with the pelvis skeleton by integrating ML algorithms, which are used extensively in the field of engineering, in the field of health. Material and Methods: In the present study, pelvic CT images of 300 healthy individuals (150 females, 150 males) between the ages of 25 and 50 (the mean female age = 40, the mean male age = 37) were transformed into orthogonal images, and landmarks were placed on promontory, iliac crest, sacroiliac joint, anterior superior iliac spine, anterior inferior iliac spine, terminal line, obturator foramen, greater trochanter, lesser trochanter, femoral head, femoral neck, body of femur, ischial tuberosity, acetabulum, and pubic symphysis, and coordinates of these regions were obtained. Four groups were formed based on various angle and length combinations obtained from these coordinates. These four groups were analyzed with ML algorithms such as Logistic Regression, Linear Discriminant Analysis (LDA), Random Forest, Extra Trees Classifier, and ADA Boost Classifier. Results: In the analysis, it was determined that the highest accuracy was 0.96 (sensitivity 0.95, specificity 0.97, Matthew's Correlation Coefficient 0.93) with LDA. Discussion and Conclusion: The use of length and angle measurements obtained from the pelvis showed that the LDA model was effective in estimating gender.Öğe An MRI Analysis of the Lumbar Lordosis Angle and Lumbar Muscle Thicknesses in Patients with Non-Specific Low Back Pain(Duzce Univ, Fac Medicine, 2023) Dagli, Ali Cihan; Oner, Serkan; Oner, Zulal; Dagli, Beyza YazganObjective: This study aimed to examine the relationship of lumbar lordosis angle and lumbar muscle thickness with non-specific low back pain (LBP) through magnetic resonance imaging (MRI) images.Methods: The study included 96 individuals (43 men/53 women) aged between 18-65 with non-specific LBP that is not explained by disc pathology based on MRI, who applied to affiliated Training and Research Hospital with the complaint of LBP between March-June 2019. Sociodemographic information was recorded using an LBP assessment form. The Oswestry LBP Disability Questionnaire was used for LBP disability. The thicknesses of muscle (m.) psoas major, m. multifidus, m. quadratus lumborum and m. erector spinae were measured corresponding to the L3-L4 vertebral level by using Radiant DICOM viewer program. The Cobb Angle method was used for lumbar lordosis angle determination. Measurements were made in three repetitions using the Radiant DICOM viewer program. Results: The results showed that an inverse relationship was found between the Oswestry Disability Index (ODI) and m. psoas major thickness (p<0.05). Given the comparison of right -left side muscle thicknesses, left side muscles were thicker (p<0.05). There were no significant differences observed between males and females in terms of lumbar lordosis angle (LLA). However, in terms of muscle thickness, males exhibited higher values, except for the transverse measurements of the right quadratus lumborum and left erector spinae muscles, which showed no significant differences (p < 0.05). Furthermore, a positive correlation was found between LLA and the transverse thickness of the left psoas major muscle (p = 0.034) and the anterior-posterior thickness of the bilateral erector spinae muscles (p < 0.001).Conclusions: In regard to inverse relationship between m. psoas major thickness and ODI, m. psoas major should be taken into consideration to alleviate the disability caused by LBP. Additionally, the difference on both sides is likely one of the causes of muscle imbalance, and this might be one of the reasons for LBP, thereby causing disability in daily tasks due to LBP.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.Öğe Sex Prediction of Hyoid Bone from Computed Tomography Images Using the DenseNet121 Deep Learning Model(Soc Chilena Anatomia, 2024) Bakici, Rukiye Sumeyye; Cakmak, Muhammet; Oner, Zulal; Oner, SerkanThe study aims to demonstrate the success of deep learning methods in sex prediction using hyoid bone. The images of people aged 15-94 years who underwent neck Computed Tomography (CT) were retrospectively scanned in the study. The neck CT images of the individuals were cleaned using the RadiAnt DICOM Viewer (version 2023.1) program, leaving only the hyoid bone. A total of 7 images in the anterior, posterior, superior, inferior, right, left, and right-anterior-upward directions were obtained from a patient's cut hyoid bone image. 2170 images were obtained from 310 hyoid bones of males, and 1820 images from 260 hyoid bones of females. 3990 images were completed to 5000 images by data enrichment. The dataset was divided into 80 % for training, 10 % for testing, and another 10 % for validation. It was compared with deep learning models DenseNet121, ResNet152, and VGG19. An accuracy rate of 87 % was achieved in the ResNet152 model and 80.2 % in the VGG19 model. The highest rate among the classified models was 89 % in the DenseNet121 model. This model had a specificity of 0.87, a sensitivity of 0.90, an F1 score of 0.89 in women, a specificity of 0.90, a sensitivity of 0.87, and an F1 score of 0.88 in men. It was observed that sex could be predicted from the hyoid bone using deep learning methods DenseNet121, ResNet152, and VGG19. Thus, a method that had not been tried on this bone before was used. This study also brings us one step closer to strengthening and perfecting the use of technologies, which will reduce the subjectivity of the methods and support the expert in the decision-making process of sex prediction.
