Folate metabolism is fundamental and essential for DNA structure synthesis and repair. Change in genes that participate in folate metabolism can be linked with different types of malignant tumor, Therefore, this study was conducted to find out the association between methylenetetrahydrofolatereductaseMTHFR gene polymorphisms and risk of breast cancer in a sample of Iraqi patients. One Single Nucleotide Polymorphism ( SNP) including MTHFR C677T was calculated using a tetra primer ARMS PCR experiment assay. The results explained that (MTHFR C677T) consists of three genotype (CC, CT, TT), The CC genotype was the most frequent in patients and control group ( 40.00%) and(60.00%) ,respectively, while the lowest frequency was for TT genotype(26.25%) in patients group .This study also revealed that the higher frequency 56.88 % for allele C and 43.12 % for T allele in patients group . On the other hand the Odd Ratio ( O.R.) for CC, CT , TT genotypes were 1.073, 0.862 and 1.148 respectively, and the genotypes TT show a highest O.R.
Background: Helicobacter pylori (H. pylori) infection is associated with gastritis and may induce atrophic gastritis have specific circulating immunoglobulin G (IgG) antibodies.
Aim of the study: To confirm the correlation between Helicobacter pylori infection and gastric atrophy.
Patient and Method: A study was conducted in the period between December 2005 and March 2006 on 25 patients with atrophic gastritis attending Gastroenterology and Hepatology Teaching Hospital in Baghdad, and 25 healthy volunteers who agreed to donate blood. Sera were tested for H. pylori IgG Ab by ELISA test.
Results and Conclusions: detection of H. pylori IgG Ab were applied to each individual, showed that (92 %) of patie
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Objectives: The study aims at assessing the parental treatment and aggressive behaviors among adolescents and to find out the association between parental treatment and aggressive behavior.
Methodology: A descriptive correlational design that is initiated for the period of January 1st to July 5th, 2021; The sample of the study includes 220 from the intermediate school male students in schools in the Karkh and Rusafa in Baghdad have ranged in age from (13-15) years, the researcher used the convenient sampling method (non-probability sample) in which the students were selected purposively. Parental Treatment Scal
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The last few years witnessed great and increasing use in the field of medical image analysis. These tools helped the Radiologists and Doctors to consult while making a particular diagnosis. In this study, we used the relationship between statistical measurements, computer vision, and medical images, along with a logistic regression model to extract breast cancer imaging features. These features were used to tell the difference between the shape of a mass (Fibroid vs. Fatty) by looking at the regions of interest (ROI) of the mass. The final fit of the logistic regression model showed that the most important variables that clearly affect breast cancer shape images are Skewness, Kurtosis, Center of mass, and Angle, with an AUCROC of
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Wisconsin Breast Cancer Dataset (WBCD) was employed to show the performance of the Adaptive Resonance Theory (ART), specifically the supervised ART-I Artificial Neural Network (ANN), to build a breast cancer diagnosis smart system. It was fed with different learning parameters and sets. The best result was achieved when the model was trained with 50% of the data and tested with the remaining 50%. Classification accuracy was compared to other artificial intelligence algorithms, which included fuzzy classifier, MLP-ANN, and SVM. We achieved the highest accuracy with such low learning/testing ratio.
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