Showing papers in "Academic Radiology in 2020"

TL;DR: The CT appearance of each phase and temporal progression of the imaging findings are demonstrated and the occurrence, development, and prognosis of the disease can be better understood.

TL;DR: The pulmonary lesions in patients infected with COVID-19 were predominantly distributed peripherally in the subpleural area and showed “crazy-paving pattern”, which is commonly seen in patients with coronavirus disease 2019.

TL;DR: An up-to-date review of artificial intelligence in medicine, with a specific focus on its application to radiology, pathology, ophthalmology, and dermatology is provided.

TL;DR: On DLR images, the image noise was lower, and high-contrast spatial resolution and task-based detectability were better than on images reconstructed with other state-of-the art techniques.

TL;DR: Visual inspection of images is a necessary component of understanding large image datasets and teams producing public datasets should perform this important quality control procedure and include a thorough description of their findings, along with an explanation of the data generating procedures and labeling rules, in the documentation for their datasets.

TL;DR: Based on the literature-based financial analyses, medical 3D printing appears to reduce operating room costs secondary to shortening procedure times, while resource-intensive, 3D printed constructs used in patients' operative care provides considerable downstream value to health systems.

TL;DR: GANs are increasingly studied for various radiology applications that enable the creation of new data, which can be used to improve clinical care, education and research.

TL;DR: This system fully-automatically and accurately segments multiple muscle groups at all lumbar spine levels on abdominal CT for detection of sarcopenia.

TL;DR: Specific measures medical schools, applicants, and radiology residency and fellowship programs can take to optimize the virtual interview experience for all involved parties are recommended.

TL;DR: A completely virtual radiology core clerkship can be a successful educational experience for medical students during a time when remote learning is required.

TL;DR: The COVID-19 pandemic has markedly impacted the perceived well-being and educational missions of radiology residency programs across the United States.

TL;DR: A guideline for radiology residency programs to prepare and respond to the impact of COVID-19 is provided, by offering specific examples from three programs, and a list of resources for distance learning and maintaining well-being is provided.

TL;DR: How radiology departments can most effectively respond to this public health emergency of 2019 novel coronavirus pneumonia is discussed.

TL;DR: CT quantification and machine-learning models shows great potentials for assisting decision-making in the management of COVID-19 patients by assessing disease severity and predicting outcomes and were significantly higher than both radiomics models and clinical models.

TL;DR: The radiomic-based predictive approach, especially CT-derived predictive model, may anticipate PD-L1 expression status in NSCLC patients relatively accurate and may be helpful in guiding immunotherapy in clinical practice and deserves further analysis.

TL;DR: Video-conferencing is presented in novel use in virtual radiology read-outs in the face of the COVID-19 pandemic to improve the educational experience of radiology trainees and promote potential future distance learning and collaboration.

TL;DR: Combination of the tumoral and peritumoral RS with TNM staging system outperformedTNM staging alone in individualized recurrence risk estimation of patients with surgically treated NSCLC.

TL;DR: The lessons of the COVID-19 epidemic are summarized and suggestions to improve the infection control and prevention practices of healthcare workers in departments of radiology are provided.

TL;DR: The current state of technology makes radiology particularly well-suited for distance learning, and with the proper tools and approaches, effective remote radiology instruction can be achieved.

TL;DR: A radiology Escape Room, a competitive game where a team of players must discover clues and solve a mystery to escape a "locked" room, to provide a novel team-building activity, teach interesting content about radiology as a specialty, cultivate grit, and share the game with other programs.

TL;DR: The prevalence of significant computed tomographic manifestations in patients with COVID-19, as well as its main clinical characteristics, might be helpful in disease evolution and management.

TL;DR: A novel cloud based HIPAA compliant and accessible education platform which simulates a live radiology workstation for continued education of first year radiology (R1) residents, with an emphasis on call preparation and peer to peer resident learning is described.

TL;DR: COVID-19 patients display striking anomalies in the distribution of blood volume within the pulmonary vascular tree, consistent with increased pulmonary vasculature resistance in the pulmonary vessels below the resolution of CT.

TL;DR: An innovative framework proposed by the FDA seeks to address issues by looking to current good manufacturing practices and adopting a total product lifecycle (TPLC) approach to reduce the regulatory burden incumbent on developers, while holding them to rigorous quality standards, maximizing safety, and permitting the field to mature.

TL;DR: The specific challenges of the virtual interview format are described, as well as means to mitigate those challenges and opportunities to improve residency selection from the program end are described.

TL;DR: DL models may aid in the prediction of functional thrombolysis outcomes and further investigation with larger datasets and additional imaging sequences is indicated.