Radiology Department and Residency Program Response and Adaption to COVID 19

Astani, Seyed Amin; Langroudi, Taraneh Faghihi; Haghighatkhah, Hamidreza; Keshavarz, Elham; Bahrami‐Motlagh, Hooman; Haseli, Sara; Bagheri, Arash Khameneh; Taheri, Morteza Sanei

doi:10.1016/j.acra.2020.04.039

Cited by 7 publications

(7 citation statements)

References 5 publications

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“…The programs employed a variety of strategies to mitigate the impact of the pandemic, many of which have been outlined in the recent literature. 3,4,8 -10 As expected, the most widely utilized approach was the adoption of virtual modalities for providing teaching rounds and case reviews. Many residency programs around the world resorted to virtual modalities for delivering educational programming to their trainees.…”

Section: Discussionmentioning

confidence: 95%

“…Several pieces of guiding principles and framework aimed at mitigating the impact were published in a timely manner. 3,4,[8][9][10] However, at the time of writing this manuscript, no direct questionnaire-based comparisons are available within radiology. Similar studies have been conducted in other specialties, 11 and we anticipate that the radiology community will be conducting similar studies in the days to come.…”

Section: Discussionmentioning

confidence: 99%

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Impact of COVID-19 on Canadian Radiology Residency Training Programs

2020

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Purpose: The novel coronavirus disease (COVID-19) pandemic has swept the globe, with a domino effect on medical education and training. In this study, we surveyed Canadian radiology residents to understand the impact of the pandemic on their residency training, strategies utilized by the residency programs in mitigating those impacts, and factors important to residents in the selection of educational resources on COVID-19. Methods: A 10-item questionnaire was distributed to 460 resident members of the Canadian Association of Radiologists. The survey was open for 2 weeks, with a reminder sent at half-way mark. Results: We received 96 responses (response rate: 20.9%). The 4 highest affected domains of training were daytime case volumes (92.4%), daytime schedules (87.4%), internal and external assessments (86.5%), and vacation/travel (83.3%). Virtual teaching rounds (91.7%), change in schedules to allow staying home (78.1%), and virtual/phone readouts (72.9%) were the most utilized strategies by the Canadian radiology residency programs. Overall stress of exposure to the disease was moderate to low (86.5%). A minority of the residents were redeployed (6.2%), although most (68.8%) were on standby for redeployment. Residents preferred published society guidelines (92.3%), review papers (79.3%), video lectures (79.3%), and web tools (76.9%) for learning about COVID-19 imaging manifestations. Conclusion: The COVID-19 pandemic has had a significant impact on various domains of the Canadian radiology residency programs, which has been mitigated by several strategies employed by the training programs.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 on Canadian Radiology Residency Training Programs

2020

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“…recognized and anticipated the negative impact of the pandemic on residents' training. Several publications have also highlighted the issue, anticipated the challenges, and proposed solutions (1,2,(11)(12)(13)(14). Initially, most of the educational activities that required the physical presence of trainees, such as lectures, teaching rounds, and case-based sessions, were cancelled.…”

Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 Pandemic on Training and Well-Being in Radiology Residency: A National Survey of Diagnostic Radiology Trainees in Saudi Arabia

Alhasan¹,

Alahmadi²,

Altayeb³

et al. 2021

Academic Radiology

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Objectives: To understand and report the perceived impact of the COVID-19 pandemic on radiology residents in Saudi Arabia with respect to their education, clinical activities, and personal well-being. Methods:The survey questionnaire was designed by a team of experts based on a review of the literature and was distributed electronically through the Saudi Commission for Health Specialties to residents registered in all radiology residency training programs in Saudi Arabia during the academic year 2019 to 2020. Categorical variables were presented as counts and percentage. Numerical variables were presented as mean and standard deviation if normally distributed. Chi-square testing was used to compare categorical variables with the perceived impact of the COVID-19 pandemic. Spearman correlation was used to correlate numerical variables at the level of significance p-value < 0.05.Results: A total of 109 residents completed the online survey during the study period, with a response rate of 32.2% (109/337). The mean age was 27.3 years (standard deviation, 1.86). The majority of respondents (71.5%, 78/109) reported either a severe or moderate negative impact on educational activities. Also, the majority (73.4%, 80/109) reported either a minimal or moderate negative impact on clinical activities. Residents training in the western province perceived a statistically higher negative impact on educational activities compared to their peers in other regions (p = 0.01). Residents in their second year of residency training perceived a statistically higher negative impact on their participation in clinical activities (p = 0.014). Less than half of the respondents (45.9%, 50/109) reported that they were redeployed to work in another department. The majority (80%, 40/50) reported a negative impact on their well-being. Conclusion:The majority of radiology residents in Saudi Arabia reported a negative impact of the COVID-19 pandemic on their education, clinical activities, and personal well-being. Our study also identified and explored some of the innovative solutions and strategies implemented by the training programs and the SCFHS to mitigate the negative effects on trainees.

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“…The RT-PCR test's disadvantages are that it is costly, not always available, and time-consuming. It requires special test kits, which sometimes are not available [5]. And the test reports are usually available within hours or days, and results are highly false negative and considered in the context of recent exposures to the patient with the existence of clinical features [6].…”

Section: Introductionmentioning

confidence: 99%

An Automated Coronavirus Disease Detection Approach Using a Deep Neural Network from X-ray Images

Musha

Mamun

Tahabilder

et al. 2021

Computational Intelligence in Pattern Recognition

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The novel coronavirus has recently become a pandemic disease since December 2019. It has a detrimental effect on our everyday lives, the human species, and many innocent lives. Moreover, there is no accurate automated system for the prominent diagnosis of coronavirus at the earlier infection phase. Therefore, this research has proposed a computer-aided deep learning framework named COVID-CXDNet to detect coronavirus from the X-ray images in an easy way. The proposed approach is based on the modification of YOLO (You only look once) with ResNet (Residual neural network) trained by a vast X-ray dataset of 3788 multiclass image frames such as Normal, COVID-19, and Pneumonia. The model has achieved the highest 98.00% accuracy, 99.63% sensitivity, and 100% specificity with a loss of 0.055 for multiclass diseases. It has also obtained 99.58% accuracy, 99.04% sensitivity, and 100% specificity with a loss of 0.005 for binaryclass diseases, which

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Radiology Department and Residency Program Response and Adaption to COVID 19

Cited by 7 publications

References 5 publications

Impact of COVID-19 on Canadian Radiology Residency Training Programs

Impact of COVID-19 on Canadian Radiology Residency Training Programs

Impact of COVID-19 Pandemic on Training and Well-Being in Radiology Residency: A National Survey of Diagnostic Radiology Trainees in Saudi Arabia

An Automated Coronavirus Disease Detection Approach Using a Deep Neural Network from X-ray Images

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