Background:The Pfizer-BioNTech (BNT162b2) and the Oxford-AstraZeneca (ChAdOx1 nCoV-19) COVID-19 vaccines have shown promising safety and acceptability. However, COVID-19 vaccine side effects play an essential role in public vaccine confidence. We aimed to study the side effects of these COVID-19 vaccines. Methods: A randomized, cross-sectional descriptive study was conducted between March and May of 2021. In total, 330 participants among the King Khalid University community in the Aseer region of the Kingdom of Saudi Arabia reported their side effects following the COVID-19 vaccine. A questionnaire was designed and validated to collect the participants' demographic data and COVID-19-related symptoms after COVID-19 vaccine injection. Results: Symptoms associated with COVID-19 were reported by 226 participants (68.5%). The most common side effects reported by the participants were fever (n = 136, 41.2%), fatigue (n = 119, 36.1%), headache (n = 86, 24.2%), malaise (n = 121, 36.7%), myalgia (n = 121, 36.7%), and muscle and joint pain (n = 76, 23%). Of the participants, 5.1% became infected with COVID-19 after vaccination. Symptoms were significantly more common in males than in females (p = 0.006). Conclusion:The incidence of COVID-19 vaccination side effects in the Aseer region, Kingdom of Saudi Arabia, was consistent with the manufacturers' data. The most common post-vaccination symptoms reported by the participants were fever, myalgia, malaise, fatigue, muscle and joint pain, and headache. The results of this study showed significant variation in adverse events between Pfizer-BioNTech and Oxford-AstraZeneca COVID-19 vaccines. Healthcare providers and recipients of vaccines can be more confident about the safety of Pfizer-BioNTech and Oxford-AstraZeneca COVID-19 vaccines.

Background and Objective:The Kingdom of Saudi Arabia has exerted great efforts to prevent the spread of COVID-19. This research aims to scrutinize the outlook, awareness, and customs of Saudi undergraduate students regarding COVID-19. Methods: The current cross-sectional study comprises 178 undergraduate students in the Faculty of Applied Medical Sciences. The data were collected from online Google form questionnaires. The differences were picked out of the questionnaires, and the mean scores of the differences were duly assessed. The variables associated with knowledge, attitude, and practice toward COVID-19 were evaluated; moreover, a comparative study was conducted on these variables in different faculty departments. ANOVA, Student's t-test, and binary logistic regression analysis were used to assess the data on knowledge, attitude, and practice. Results: Most of the undergraduate students were well acquainted with COVID-19. We obtained the mean knowledge score for COVID-19 to be 3.08 ± .82 (range: 1-5), indicating good knowledge. The attitude means the score was 3.02 ± .61 (range: 0-4), implying good positive attitudes. On assessing the mean score of practices, it was found 5 ± .47 (range: 0-7), pointing towards perfect practices. There were no significant differences between males and females regarding knowledge, attitudes, and practice toward COVID-19 (p-value < 0.05). Conclusion: Students of Applied Medical Sciences are knowledgeable about COVID-19. Health education programs should be focused on protection and safety from COVID-19 for Applied Medical Sciences students, especially Medical Rehabilitation Sciences and Radiology. Hand hygiene awareness programs must be conducted for undergraduate students. Infection control should be part of the undergraduate applied for medical sciences curriculum program.

Hydatid cyst is a common name for the larval stage of a tapeworm species of the genus Echinococcus granulosus, which is transmitted from animals to humans via the fecal–oral route. Hydatid cysts predominantly affect the liver (75%), followed by the lung (15%), and they can affect many organs in the human body. Medical imaging modalities are the keystone for the diagnosis of hydatid cysts with high sensitivity and specificity. Ultrasound imaging with high resolution is the first choice for diagnosis, differential diagnosis, staging, establishing a role in interventional management, and follow-up, and it can differentiate Type I hydatid cysts from simple liver cysts. Unenhanced computed tomography (CT) is indicated where or when an ultrasound is unsatisfactory, such as with chest or brain hydatid cysts, when detecting calcification, and in obese patients. Magnetic resonance imaging (MRI) is superior for demonstrating cyst wall defects, biliary communication, neural involvement, and differentiating hydatid cysts from simple cysts using diffusion-weighted imaging (DWI) sequences. According to the phase of growth, hydatid cysts occur in different sizes and shapes, which may mimic benign or malignant neoplasms and may create diagnostic challenges in some cases. Hydatid cysts can mimic simple cysts, choledochal cysts, Caroli’s disease, or mesenchymal hamartomas of the liver. They can mimic lung cystic lesions, mycetoma, blood clots, Rasmussen aneurysms, and even lung carcinomas. Differential diagnosis can be difficult for arachnoid cysts, porencephalic cysts, pyogenic abscesses, and even cystic tumors of the brain, and can create diagnostic dilemmas in the musculoskeletal system.

Objective: The objective of this study was to assess the sonographic findings in renal parenchymal diseases using gray-scale ultrasound in order to classify these diseases. The study design was a cross-sectional one. There were 204 patients who were suspected with renal diseases. They had been scanned with ultrasound to assess the kidneys. The echogenicity, renal cortex and parenchyma, and cortico-medullary differentiation had been evaluated. Results: The study revealed that the echogenicity of renal parenchyma and cortex increased in all types of renal parenchymal diseases. The cortico-medullary differentiation was mainly disturbed in acute parenchymal disease (69.04%), loss in chronic end-stage parenchymal disease (85%); and there was significant difference (p-value = 0.0001). Conclusion: Ultrasound provided useful and accurate diagnosis of renal parenchymal diseases. In this study, renal parenchymal diseases had been classified into acute, chronic and end-stage renal parenchymal diseases.

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