Hospital-acquired infections (HAIs) contribute to increased length of hospital stay, higher mortality and higher health-care costs. Prevention and control of HAIs is a critical public health concern. This study assessed the knowledge, attitude, and practice (KAP) of standard infection control precautions among health-care workers (HCWs) in Qassim, Saudi Arabia. A cross-sectional online survey among HCWs was conducted using a structured questionnaire. Predictors of KAP were investigated using multivariate logistic regression analyses and independent sample t-tests. A total of 213 HCWs participated in the survey. The prevalence of good (≥80% correct response) knowledge, attitude, and practice were 67.6%, 61.5%, and 73.2%, respectively. The predictors of good knowledge included the age of the HCWs (>34 years) (adjusted odds ratio: 30.5, p < 0.001), and training (13.3, p < 0.001). More than 6 years of work experience was a significant predictor of having a positive attitude (5.5, p < 0.001). While the predictors of good practice were having >6 years of experience (2.9, p < 0.01), previous exposure to HAIs (2.5, p < 0.05), and training (3.5, p < 0.01). However, being female (0.22, p < 0.001) and older (>34 years) (0.34, p < 0.01) were negatively associated with knowledge. Results indicate that arranging training for HCWs might be useful in improving their knowledge of standard infection control precautions and is also expected to facilitate positive attitude and practice.

Infections contracted during healthcare delivery in a hospital or ambulatory setting are collectively referred to as healthcare-associated infections (HAIs). Healthcare workers and patients alike are vulnerable to serious problems as a result of the risk of HAIs. In the healthcare system, HAIs are considered among the most common and serious health problems. However, the occurrence of HAIs differs between different types of clinical departments within the hospital. Recently, the risk of HAIs has been increasing in radiology departments globally due to the central role of radiology in guiding clinical decisions for the diagnosis, treatment, and monitoring of different diseases from almost all medical specialties. The radiology department is particularly vulnerable to HAIs because it serves as a transit hub for infected patients, non-infected patients, and healthcare workers. Furthermore, as the number of patients referred to radiology and the length of patient contact time has increased, thanks to modern imaging techniques such as computed tomography and magnetic resonance imaging, the risk of HAIs has also increased significantly. With the increasing use of interventional radiological procedures, patients and healthcare workers face a potentially greater risk of contracting HAIs due to the invasive nature of such procedures. Although not exhaustive, we attempted through a literature search to provide a general overview of infection prevention and control practices, address HAIs in the radiology departments, and highlight the challenges and measures taken to control infection transmission in the radiology departments.

Background: The COVID-19 pandemic has impacted education in myriad ways, primarily leading to an abrupt paradigm shift in teaching and learning practices towards distance learning. The study aims to assess the effectiveness of teaching radiology to undergraduate medical students using synchronous distance learning compared to traditional on-campus learning through exploring students’ perceived satisfaction and concerns. Students’ perceptions were correlated with their attendance, grades, and frequency of technical difficulties. Methods: The study was designed as an observational study involving fourth-year medical students (2019/2020) from two institutions. The cohort students were exposed to traditional learning, distance learning, or both. Students completed an online self-administered questionnaire concerning their perceptions of distance learning. Students’ attendance, engagement, technical difficulties, and post-clerkship knowledge assessments were analyzed using descriptive and inferential statistics. Results: A total of 145 participants completed the clerkship using the following strategies: traditional learning (n = 66), both traditional and distance learning (n = 67), and distance learning alone (n = 12). The most important result indicates that the abrupt transition to distance learning was well perceived. Most students preferred distance learning over traditional learning in the radiology clerkship (p = .05). During the synchronous sessions, student attendance was high, reaching to 100%. Technical difficulties were limited (1.9%), and they did not affect learning. Conclusion: Synchronous distance teaching promotes learning, interaction, and enjoyment in undergraduate radiology education, and it can be as effective as traditional on-campus learning. The technical difficulties encountered, although they were limited, can be overcome by recording the synchronous sessions.

Skeletal changes are a common complication in patients with chronic kidney disease and traditionally labelled as renal osteodystrophy. Uremic leontiasis ossea is a rare and severe form of renal osteodystrophy with characteristic overgrowth of the craniofacial bones. Imaging, in particular computed tomography, is valuable for the diagnosis and management of such rare condition. Uremic leontiasis ossea has distinctive imaging features with significant overgrowth of the jaw and characteristic internal serpiginous tunneling. The recognition of its radiological appearance and abrupt management are essential to avoid its devastating esthetic and functional impairments.

Purpose: Melanotic schwannoma (MS) was formerly known as a rare variant of schwannoma. The behavior of MS is unpredictable, with a tendency for recurrence and metastasis. The purpose of this study was to illustrate the imaging characteristics of these rare and misdiagnosed tumors. The prognosis of MS is discussed, along with the importance of follow-up exams to assess for recurrence and metastasis. Furthermore, we compare our results with those previously published on MS in order to have a better understanding of this rare entity. Methods: Three MS cases were encountered between 2008 and 2015 at our institute. All available data were reviewed, including the clinical history, imaging findings, operative notes, and the histopathology results. A follow-up magnetic resonance imaging (MRI) scan was also reviewed up to 23 months post surgery to assess for recurrence. Results: Three cases of MS are included: one in the brain and two in the spine. The brain lesion was in the occipital region. The spine lesions were thoracic intramedullary and sacral intradural. All cases were hypointense on T2-weighted imaging. Gross total resection was achieved for all lesions without adjuvant therapy. To date, the brain lesion recurred 15 months after surgery. Conclusions: MS is a rare and distinct entity rather than a variant of schwannoma, and it poses both diagnostic and management dilemmas. Although MS has characteristic MRI features, including T1 and T2 shortening, the preoperative diagnosis is always challenging. Accurate diagnosis is crucial for management planning, including long-term follow-up exams to assess for recurrence and metastasis.

Background: Medical students' career choices and motivations might be significantly impacted by the rapid advances in artificial intelligence (AI) and the recent hype around it. Objective: This study aimed to assess the impact of AI on medical students’ preferences for radiology as a future specialty choice. Methods: A cross-sectional study was conducted between October and December 2021 among all medical students in the three regional medical colleges in Al-Qassim Province, Saudi Arabia. Results: The survey resulted in 319 complete responses. Among the respondents, 26.96% considered radiology to be one of their top three future specialty choices. Only a minority of the respondents (23.2%) believed that radiologists would be replaced by AI during their lifetime. The misperceptions of the potential impact of AI led 22.26% of the students to be less likely to consider a career in radiology. Students with an interest in radiology were less influenced by such misperceptions (p=.01). Based on self-reported confidence measures, the basic understanding of AI was higher among students with an interest in radiology and students with prior exposure to AI (p<.05). Conclusion: The students' preferences for radiology as a future specialty choice were influenced by their misperceptions of the potential impact of AI on the discipline. Students' interest in radiology and prior exposure to AI helped them grasp AI and eliminate the hype around it.