Browsing by Author "Gar-Elnabi,Mohamed E. M"

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Characterization of Infertility using Ultrasonography
(Scholars Journal of Applied Medical Sciences, 2020) Zeinalabdeen,Manal Z. A; Gar-Elnabi,Mohamed E. M
The aim of this study to characterize the fertility in women using ultrasound through the uterine blood flow indices and uterus dimension. The sample consisted of 100 women; 50 of them were infertile and the other 50 were fertile women taken as control group. The result of this study showed that there is a significant difference between the fertile and infertile women in case of the uterus length and size, the uterus width and blood flow indices showed inconclusive result. The relationship of blood flow indices to uterine dimension showed a significant linear association between the uterus length and PI and PSV for the infertile women. While it shows similar relationship with the uterus length and area, and PI and PSV (multiple regression). These relationships were reverse in case of the fertile and infertile. For the infertile group there is an inverse linear relationship between the PI and uterus length and direct linear relationship between the PSV and uterus length. In case of fertile group there is a direct linear relationship between the PI and the uterus length (and uterus size) and inverse linear relationship between the PSV and uterus length and uterus size.
Characterization of Non-Small Cell Lung Carcinoma Gross Target Volume with 18F-FDG PET scan using Texture Analysis
(International Journal Dental and Medical Sciences Research (IJDMSR), 2020) Awadain,Sami Y. I; Alameen,Suhaib; Algorashi,Eman M; Gar-Elnabi,Mohamed E. M
This study concern to characterize the lung area to cardiac, lung, tumor and submucosal using Gray Level Co-occurrence Matrix (GLCM) and extract classification features from PET/CT with fluorine-18 fluorodeoxyglucose images. Using the GLCM techniques to find the gray level variation in PET/CT images it complements the features extracted from PET/CT images with variation of gray level in pixels and estimate the distribution of the sub-patterns using Interactive Data Language IDL software. The results show’s that the Gray Level Co-occurrence Matrix and features extracted give a classification accuracy of cardiac 91.6%, lung 100%, tumor 99.6%, while the sub-mucosal showed accuracy 91.2%. The overall classification accuracy of lung area 96.0%. These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new PET/CT images with the appropriate lung area names.
Estimation of Patient’s Effective Dose From 18F-FDG Whole-Body PET/CT Procedures
(Scholars Journal of Applied Medical Sciences, 2020) Awadain,Sami Y. I; Alameen,Suhaib; Algorashi,Eman M; Gar-Elnabi,Mohamed E. M
The aim of this study to Estimate the patient’s dose from 18F-FDG (18F-fluorodeoxyglucose positron emission tomography/computed tomography) whole body investigations. The dose calculated using RADAR Medical Procedure Radiation Dose Calculator to estimate the effective dose, for 156 patients (110 males and 40 female) were examined by Discovery PET/CT 710, GE Medical Systems in Kuwait Cancer Control Center. The results showed that variation in effective dose, were the effective dose ranged from 156 to 9.94 mSv. And found that the effective dose for female 3.88 mSv was higher than the dose for male 3.71 mSv, this variation come from the higher value of BMI between the females 28.49 kg/m2 than the BMI of males 26.50 kg/m2 , also there was lightly variation of effective dose between the right and left lung, were the effective dose for right lung 3.86 mSv was higher as same as the BMI 27.19 kg/m2 was higher than the dose 3.59 mSv and BMI 26.82 kg/m2 of left lung. The results provide that there is no difference demonstrates in the effective dose from 18F-FDG in male and female patients. And recommended that all the clinical practice should be justify and be careful about the concept risk-benefit ratio to any and efforts 18FDG whole-body PET/CT scan.