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OBJECTIVES: The objectives of the study were to determine the clinicodemographic characteristics and the prognostic role of myasthenia gravis (MG) in thymoma. METHODS: The records of patients who underwent surgical resection of thymoma at King Faisal Specialist Hospital and Research Center in the past 23 years were reviewed. Seventy thymoma patients were finally included and were then categorized based on MG status into the MG group (39 patients) and the non-MG group (31 patients). Collected data included patients' demographic characteristics, tumor characteristics, and postoperative clinical outcomes. All analyses were conducted using SPSS. The comparison between both groups was tested using the Student t-test and Chi-square test for continuous and categorical variables, respectively. A P = 0.05 or less indicated statistical significance. RESULTS: Patients' age ranged from 11 to 76 years, and female predominance was observed (55.7%). Compared to the non-MG group, no difference in patients' gender was observed (P = 0.058); however, MG patients had a younger age (39.30 vs. 48.77, P = 0.0095). No difference was noted between both groups based on the World Health Organization classification (P = 0.398), but MG patients tended to present with less-advanced tumors based on the TNM classification (P = 0.039) and lower stage based on the MASAOKA staging system (P = 0.017). No significant change in tumor size (P = 0.077), resectability (P = 0.507), and adjuvant therapy (P = 0.075) were observed. MG was not significantly associated with postoperative complications, morbidity, or mortality. However, it exhibited a prognostic protective role in terms of lower recurrence (2.56% vs. 35.48%, P = 0.0001) and longer survival duration (18.62 vs. 10.21 years, P < 0.001) as compared to non-MG patients. CONCLUSIONS: MG occurrence in thymoma patients is more likely to occur at a younger age, higher TNM classification, and advanced MASAOKA stage. Although no significant association was noted between MG and complications and mortality, MG exhibited a protective role in thymoma by providing a lower recurrence rate and longer survival duration.
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Rationale and objectives: Burnout among physicians has a prevalence rate exceeding 50%. The radiology department is not immune to the burnout epidemic. Understanding and addressing burnout among radiologists has been a subject of recent interest. Thus, our study aims to systematically review studies reporting the prevalence of burnout in physicians in the radiology department while providing an overview of the factors associated with burnout among radiologists. Materials and methods: The search was conducted from inception until November 13th, 2022, in PubMed, Embase, Education Resources Information Center, PsycINFO, and psycArticles. Studies reporting the prevalence of burnout or any subdimensions among radiology physicians, including residents, fellows, consultants, and attendings, were included. Data on study characteristics and estimates of burnout syndrome or any of its subdimensions were collected and summarized. Results: After screening 6379 studies, 23 studies from seven countries were eligible. The number of participants ranged from 26 to 460 (median, 162; interquartile range, 91-264). In all, 18 studies (78.3%) employed a form of the Maslach Burnout Inventory. In comparison, four studies (17.4%) used the Stanford Professional Fulfillment Index, and one study (4.3%) used a single-item measure derived from the Zero Burnout Program survey. Overall burnout prevalence estimates were reported by 14 studies (60.9%) and varied from 33% to 88%. High burnout prevalence estimates were reported by only five studies (21.7%) and ranged from 5% to 62%. Emotional exhaustion and depersonalization prevalence estimates were reported by 16 studies (69.6%) and ranged from 11%-100% and 4%-97%, respectively. Furthermore, 15 studies (65.2%) reported low personal accomplishment prevalence, ranging from 14.7% to 84%. There were at least seven definitions for overall burnout and high burnout among the included studies, and there was high heterogeneity among the cutoff scores used for the burnout subdimensions. Conclusion: Burnout in radiology is increasing globally, with prevalence estimates reaching 88% and 62% for overall and high burnout, respectively. A myriad of factors has been identified as contributing to the increased prevalence. Our data demonstrated significant variability in burnout prevalence estimates among radiologists and major disparities in burnout criteria, instrument tools, and study quality.
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OBJECTIVE: Breast imaging services often experience a significant degree of variability in patient flow, leading to delay in time to diagnostic resolution, commonly referred to as time to resolution (TTR). This study applies Lean Six Sigma Methodology (LSSM) to reduce TTR and enhance patient outcomes. METHODS: This study was IRB-approved. A baseline audit was done using cases of mammographic recalls (BI-RADS 0) to measure baseline TTR. Multidisciplinary meetings with all members of the breast imaging service, alongside a study of patient complaint data, were utilized to identify issues that were causing prolonged TTR. Following that, possible solutions were proposed and implemented. A post-implementation audit was conducted, and the resulting TTRs were compared. Significant differences in TTR between the pre- and post-solution implementation were assessed using the Mann-Whitney U test. RESULTS: During the baseline audit of 8 months, 589 cases of mammographic recalls (BI-RADS 0) were identified, and the resulting average TTR was 86.3 days. During the post-implementation period of 3 months, 370 mammographic recalls (BI-RADS 0) occurred, with a resulting average TTR of 36.0 days. After applying LSSM, TTR was reduced by 58.3% (Pâ <â 0.01). Some changes implemented included training the coordinators, establishing a rapid diagnostic clinic using previously underutilized equipment, and having radiologists assigned full-time to the breast imaging service. CONCLUSION: Our team has successfully managed to identify various causes behind the prolonged TTR using LSSM. Team collaboration was essential to study and decide on a more achievable TTR.
