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BACKGROUND AND OBJECTIVESProblem-based learning (PBL) is the most important educational innovations in the past 4 decades. The objective of the study was to compare between the preference of medical students for PBL and the preference for traditional lectures regarding learning outcomes (e.g., knowledge, attitude, and skills) gained from both methods.DESIGN AND SETTINGSA cross-sectional study was conducted among medical students who studied the hybrid curriculum (PBL and traditional lectures) in King Abdulaziz University, Jeddah, in 2011.METHODSData was collected through a pre-constructed, validated, confidentially anonymous, and self-administered questionnaire. Students’ perceptions toward PBL and traditional lectures were assessed through their response to 20 statements inquired about both methods of learning using a five-point Likert scale. Descriptive and analytic statistics were performed using SPSS, version 21 (SPSS Inc, Chicago, Ill., USA).RESULTSLearners preferred PBL more to traditional lectures for better linking the knowledge of basic and clinical sciences (t test=10.15, P<.001). However, no statistical significant difference (P>.05) was observed regarding the amount of basic knowledge recalled from both methods. Students preferred PBL more to lectures for better learning attitudes, skills, future outcomes, and learning satisfaction (P<.05). PBL motivates students to learn better than lecturing (P<.05). From students’ opinion, the mean total skill gained from PBL (47.2 [10.6]) was much higher than that of lectures (33.0 [9.9]), and a highly statistical significant difference was observed (t test=20.9, P<.001).CONCLUSIONStudents preferred PBL more to traditional lectures for improving most of learning outcome domains, especially, learning attitudes and skills. Introducing hybrid–PBL curriculum in all Saudi universities is highly recommended.

Introduction A growing body of evidence suggests that resilience is more conducive to healthcare professionals (HCPs) adaptation and growth in the face of threats, pandemics, or other major stressful events. We aimed to measure the resilience and identify influencing factors of resilience among HCPs who have been working during the COVID-19 pandemic in Jeddah, Kingdom of Saudi Arabia. Methodology A cross-sectional study was performed between November 2020 and January 2021 in Jeddah. The study involved four government hospitals using an electronic self-administered questionnaire, which consisted of sociodemographic questions, the Perceived Stress Scale, and the Connor-Davidson Resilience Scale. Results Of the 413 participants considered in this study, only 352 were eligible. The mean resilience score of HCPs was 26±6.4. The results show significant differences across age, years of work experience, nationality, type of shift, and perceived stress score. The general linear regression model indicated that the sample population's type of shift and perceived stress score (p-value = <0.001) are statistically associated with the resilience score. Conclusion Attention should be paid to critical variables associated with resilience, which could help allocate scarce resources to support HCPs and retain them in the workforce.

The magnetic resonance (MR) imaging of intra-abdominal tumors is necessary for clinical practice. MR imaging involves the optimal evaluation of masses due to its inherent soft tissue contrast and multiplanar scanning abilities. T2 low-signal tumors are not common, and individuals need to be careful when interpreting them.The tumors that contain smooth muscle components, a high nucleus-to-cytoplasm ratio, or papillary architecture, among other components, tend to display low signal intensity on T2-weighted images. MR imaging allows for both the detection and characterization of tumors, especially when they have low signal intensity when presented on T2-weighted images. As a result, it becomes essential to identify the various characteristics that define each tumor.Identification of the tumor spectrum and knowing the cause of low signal intensity on T2 -weighted images helps the radiologist to narrow the differential diagnosis and reach a final diagnosis.