Ali Alamer

Background: The sphenoid sinus is an important access point for trans-sphenoidal surgeries, but variations in its pneumatization may complicate surgical safety. Deep learning can be used to identify these anatomical variations. Methods: We developed a convolutional neural network (CNN) model for the automated prediction of sphenoid sinus pneumatization patterns in computed tomography (CT) scans. This model was tested on mid-sagittal CT images. Two radiologists labeled all CT images into four pneumatization patterns: Conchal (type I), presellar (type II), sellar (type III), and postsellar (type IV). We then augmented the training set to address the limited size and imbalanced nature of the data. Results: The initial dataset included 249 CT images, divided into training (n = 174) and test (n = 75) datasets. The training dataset was augmented to 378 images. Following augmentation, the overall diagnostic accuracy of the model improved from 76.71% to 84%, with an area under the curve (AUC) of 0.84, indicating very good diagnostic performance. Subgroup analysis showed excellent results for type IV, with the highest AUC of 0.93, perfect sensitivity (100%), and an F1-score of 0.94. The model also performed robustly for type I, achieving an accuracy of 97.33% and high specificity (99%). These metrics highlight the model's potential for reliable clinical application. Conclusion: The proposed CNN model demonstrates very good diagnostic accuracy in identifying various sphenoid sinus pneumatization patterns, particularly excelling in type IV, which is crucial for endoscopic sinus surgery due to its higher risk of surgical complications. By assisting radiologists and surgeons, this model enhances the safety of transsphenoidal surgery, highlighting its value, novelty, and applicability in clinical settings.

Functional endoscopic sinus Surgery (FESS) is a form of safe and effective management for chronic rhinosinusitis. Nevertheless, although FESS is minimally invasive, it poses a risk of rare orbital complications. This study aims to investigate the variations in the medial maxillary wall relative to the medial orbital wall, as depicted on computed tomography (CT) scans. We retrospectively included CT scans of the sinuses between November 2022 and April 2023. To maintain consistency, we used the coronal image that delineated the anterior ethmoidal foramen. The attachment site of the inferior turbinate to the medial maxillary wall was categorized into three classes according to its position relative to the inferomedial orbital strut. Class I indicates that the site of attachment is located within 2 mm, either medially or laterally. Class II indicates that it has been medially displaced by more than 2 mm, whereas Class III indicates that it has been laterally displaced by more than 2 mm. We enrolled 183 patients, yielding a total of 363 sides. Classes I, II, and III account for 55.4%, 41.3%, and 3.3% of the cases, respectively. A significant correlation exists between the classification and the dimensions and volume of the maxillary sinus (p < 0.001). The logistic regression model indicates a significant negative correlation between the width of the maxillary sinus and risk classification (p < 0.001), implying a protective effect with increasing width. Knowledge of the variations in the medial wall of the maxillary sinus relative to the medial orbital wall is essential for guidance toward the optimal endoscopic approach, and it demonstrates relevance to risk stratification.

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.

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: Transient osteoporosis of the hip, or acute bone marrow edema syndrome, is a rare condition characterized by a decrease in bone mineral density of the proximal femur, which resolves with conservative management over 6-24 months. At presentation, the patient complains of sudden onset of localized pain in the hip, which is aggravated by weight-bearing. However, the prevalence and risk factors for this condition are still unclear. Objective: This study aims to identify the prevalence of transient osteoporosis of the hip among patients who present with hip pain and underwent magnetic resonance imaging of the hip. Method: This is a retrospective investigation that involved collecting data from patients' records in a tertiary hospital in Saudi Arabia. Included candidates were patients who presented with hip pain, had an MRI done between 2016 and 2019 inclusive, and were older than 14 years. The collected data involved the age and gender of patients, the hip's affected side, and the diagnosis. Data analysis was executed through SPSS version 26 (IBM Corp., Armonk, NY). Results: Three hundred and fourteen patients matched our inclusion criteria. The prevalence of transient osteoporosis of the hip was 2.5%. All of them were males and half were above 40 years, 50% had pain in the left side, and 75% had a small joint effusion. The femoral head was the most affected part of the joint in patients with transient osteoporosis of the hip. Among our patients, the most common cause of hip pain was gluteus medius tendonitis (12.9%), where 33.1% of patients with hip pain had normal examination and investigations, and 15.2% had more than one condition. Risk factors for transient osteoporosis of the hip are pain in the left hip joint (p-value=0.023) and an age between 41 and 50 years (p-value=0.012). Conclusion: The prevalence of transient osteoporosis of the hip is low, yet it requires confirmation by studies with a more robust design. Males older than 40 years and left-side hip pain are at higher risk.

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.

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.

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.