X-ray-computed tomography (CT) has become one of the most important investigation procedures worldwide. The study aimed to assess image quality parameters, mainly noise, and radiation doses during abdominal examination. This study examined the diagnostic parameters (kilo voltage, tube current time product, slice thickness, and pitch) and their effects on image quality as well as the radiation doses received from computed tomography scanners using phantom. The study carried out in four CT centers in Sudan. The study applied prospective and experimental methods. The study demonstrated there was a linear correlation between diagnostic parameters and image noise. The reduction in milli-ampere second and peak kilo voltage increased the image noise. Moreover increasing the pitch led to an increase in the image noise, whereas increasing the slice thickness, reduced the image noise. There was also a linear relationship between kilo voltage and radiation dose at Elnileen diagnostic center characterized by an increase kilo voltages values which led to an increase in the radiation dose by 92% and a reduction in the image noise by 83%. However, at Antalya medical center, increasing in kilo voltage values led to an increase in the radiation dose by 35% and a reduction in the image noise by 26%. Also increasing in milli-ampere second values led to an increase in the radiation dose by 49% and a reduction in the image noise by 46% in a phantom compared with an increase in radiation dose by 82% and a reduction in the image noise by 51% in patients .The study found that an optimal protocol for adult abdominal scan at Antalya medical center was 4.22HU for image noise and 10.45 mGy for radiation dose when using 120 kVp, 300 mAs, 5 mm slice thickness and pitch of 0.8. At Elnileen diagnostic center, however, the optimal protocol was 5.4 HU for image noise and 5.4 mGy for radiation dose using 130 kVp, 50 mAs, 10 mm slice thickness and pitch of 2. In addi- 76tion, the quality control tests for image quality parameters carried out at the two centers were performed by using the Chat Phan phantom and all the tests were within the acceptable limits, according to Sudan Atomic Energy Commission (SAEC) Standardizations. The study concludes with a number of recommendations, such as; the necessity for an extensive collaboration among manufacturers, radiologists, technologists and physicists to find a plan to decrease patient radiation dose (ALARA Principle) from computed tomography scanner.

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Introduction: Early diagnosis of COVID-19 is important for disease treatment and management. Computed Tomography (CT) is a fast and easy modality for diagnosis and management plan of patients with COVID-19. In the literature, several studies were done to assess the sensitivity of CT for diagnosis of COVID-19 infection in comparison to Reverse Transcription Polymerase Chain Reaction (RT-PCR). Some studies stated that CT was more sensitive diagnostic modality for COVID-19 than RT-PCR. However, the sensitivity of CT for COVID-19 varies in these studies. Aim: This literature review and meta-analysis was designed to determine the CT features of COVID-19 pneumonia, to verify the pooled sensitivity of CT for the diagnosis of COVID-19 and to review the different reasons (e.g., the disease stage or severity and the negative or positive RT-PCR results) for the variations in CT sensitivity. Materials and Methods: This review analysed 31 articles selected from the Europe BMC, PubMed, Science Direct, and Scopus databases. Participant gender mean and median age, CT features of COVID-19 pneumonia were sought for and reviewed. The data was analysed using Microsoft excel version 10 and OpenMeta (Analyst) software (http://www.cebm.brown.edu/openmeta/) to verify the pooled sensitivity of CT in detection and diagnosis of COVID-19 pneumonia using meta-analyses forest plot, Receiver Operating Characteristic (ROC) curve, cumulative meta-analyses forest plot and leave one forest plot. Results: The most common CT findings of COVID-19 pneumonia were bilateral lung involvement, Ground Glass Opacity (GGO), and consolidation, and Crazy-paving pattern. The CT finding is more prominent in symptomatic and severe cases than in a symptomatic and mild cases specifically the presence of consolidation and peripherals lesion distribution. The pooled sensitivity of CT is 90% in diagnosis and detection of COVID-19 pneumonia (ranged 60-100%). Conclusion: Combination of CT chest and laboratory tests along with clinical manifestation and epidemiological features should be considered to confirm the final diagnosis of COVID-19 pneumonia.

Background: The clinical show of illnesses including the thoracic aorta goes from countless patients who have no symptoms, having a medically imperceptible thoracic part of the Arora to victims with side effects of extreme ribcage torment because of intense aortic analysis. Objective: A retrospective study was conducted in computed tomography CT departments of three hospitals to quantify the average thoracic aorta width in the population of Sudan to compare it with international measurements. Methodology: The data collected from 500 randomly selected non-pathological patients were analyzed by the SPSS program and presented in tables and figures. Results: Results revealed that the diameter of the aorta is affected by the body length, age of the patient, and weight, except the gender which is a non-significant factor. Also, the typical size of the plunging part of the Aorta was 12.17±1.78 cm, the proximal diameter of the aorta was 2.51±0.56 cm, the focus width was 2.08±0.41 cm, and the distal breadth was 2.11±0.45 cm. The width of the aorta is very susceptible to size as well as out of the individual. Furthermore, an unusually large distinction (P=0.001) was seen between age and distant breadth of the aorta, although a small distinction (P=0.018) was obtained between the patient's level and terminal breadth of the aortic arch. Conclusion: It is reasoned that the figured tomography is assuming an extraordinary part in the estimation of the ordinary width of slipping of the thoracic aorta by giving a subtle depiction of sliding thoracic aorta breadth in a gathering of the solid Sudanese populace. Keywords: Thor Aorta, Computed tomography, Statistical analysis, Sudan

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Digital health systems such as tablet devices, smartphones, and online websites, are swiftly transforming the practice of medical science and reshaping health care approaches. A PRISMA guidelines-based systematic review was conducted using research databases (PubMed, Google Scholar, and Web of Science) to identify the applications and fill the literature gap in Gastroenterological disorders. A total of 212 articles were searched, excluding duplicate records, sixty nine articles were founded out of which only fifteen were selected using specific inclusion and exclusion criteria. Risk of a bias assessment tool called ROBVIS 2 is used to examine the risk of predisposition and precision of all the fifteen studies included. Most of the patients in these trials were females, educated, and have inflammatory bowel diseases. These clinical studies concentrated on Ulcerative colitis (n=5), Crohn's disease (n=4), and inflammatory bowel disease (n=6) with feedback of mostly 3 months (n=5) and 6 months (n=5). The internet-based intervention varied from study to study but the outcomes in each study were clear that either this system was efficient or not. Based on the searched literature and selected studies it was concluded that online health technologies can effectively cope with Gastroenterological disorders and patients with digestive disorders have shown good acceptability and pleasure in all the selected studies. Keywords: eHealth technologies, Digestive disorders, Ulcerative colitis, Crohn’s disease, Review