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1دورية أكاديمية
المؤلفون: Nabipour, M., Deevband, M.R., Alvar, A.A., Soleimani, N., Sadeghi, S.
الوصف: Background: Given the extensive use and preferred diagnostic method in common mammography tests for screening and diagnosis of breast cancer, there is concern about the increased dose absorbed by the patient due to the sensitivity of the breast tissue. Objective: This study aims to evaluate the entrance surface air kerma (ESAK) before irradiation to the patient through its estimation. Material and Methods: In this descriptive paper, firstly, a phantom was used to measure some data, including ESAK, Kvp, mAs, HVL, and type of filter/target. Secondly, the MultiLayer Perceptron (MLP) neural network model was trained with Levenberg-Marquardt (LM) backpropagation training algorithm and finally, ESAK was estimated. Results: Based on results obtained from the program in different neuron num-bers, it was found that the number of 35 neurons is the most optimal value, offering a regression coefficient of 95.7. The Mean Squared Error (MSE) for all data was 0.437 mGy and accounting for 4.8 of the output range changes, predicting 95.2 accuracy in the present research. Conclusion: Using neural networks in ESAK prediction, the method proposed in the present research leads to the possible ESAK estimation of patients before X-Ray. The results suggested that the regression coefficient represented 4.3 difference between the kerma measured by solid-state dosimeter in the radiation field and the value predicted in the research. In comparison with the Monte-Carlo simulation method, this method has better accuracy. © 2021, Shriaz University of Medical Sciences. All rights reserved.
العلاقة: Nabipour, M. and Deevband, M.R. and Alvar, A.A. and Soleimani, N. and Sadeghi, S. (2021) A new method on kerma estimation in mammography screenings. Journal of Biomedical Physics and Engineering, 11 (5). pp. 595-602.
الإتاحة: http://eprints.goums.ac.ir/11242Test/
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2دورية أكاديمية
المؤلفون: Meshkani, R., Taghikhani, M., Larijani, B., Bahrami, Y., Khatami, S., Khoshbin, E., Ghaemi, A., Sadeghi, S., Mirkhani, F., Molapour, A., Adeli, K.
مصطلحات موضوعية: مقالات نمایه شده محققین دانشگاه در سایت ,Web of Science ,Scopus
الوصف: Background: The Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-γ2 (PPARγ-2) gene has been variably associated with insulin resistance, obesity and type 2 diabetes in several populations. However, this association has not been studied in Iranian subjects and we hypothesized that this variation might be associated with insulin resistance, type 2 diabetes and related metabolic traits in this population. Methods: The Pro12Ala genotypes were determined by PCR-restriction fragment length polymorphism in 696 unrelated subjects including 412 non-diabetic controls and 284 type 2 diabetic patients. Results: The frequency of the Ala allele was 9.4 and 5.9 in controls and type 2 diabetic subjects, respectively adjusted odds ratio (OR) 0.457, p=0.005. The Ala allele did not show a significant effect on anthropometric and biochemical parameters in the type 2 diabetic group, whereas in non-diabetic subjects, carriers of the Ala allele had significantly lower fasting insulin (p=0.007) and homeostasis model assessment of insulin resistance (HOMA-IR) (p=0.009) levels compared to Pro/Pro subjects. Multivariate logistic regression analysis showed that Pro12Ala polymorphism was an independent determinant of type 2 diabetes in this population. Conclusions: Our results for a sample of Iranian type 2 diabetes cases and controls provide evidence that the Pro/Ala genotype of the PPARγ-2 gene is associated with insulin sensitivity and may also have protective role against type 2 diabetes. ©2007 by Walter de Gruyter.
العلاقة: Meshkani, R. and Taghikhani, M. and Larijani, B. and Bahrami, Y. and Khatami, S. and Khoshbin, E. and Ghaemi, A. and Sadeghi, S. and Mirkhani, F. and Molapour, A. and Adeli, K. (2007) Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-γ2 (PPARγ-2) gene is associated with greater insulin sensitivity and decreased risk of type 2 diabetes in an Iranian population. Clinical Chemistry and Laboratory Medicine, 45 (4). pp. 477-482.
الإتاحة: http://eprints.goums.ac.ir/9368Test/
