Seminars in Ultrasound Ct and Mri最新文献

There are approximately 200 academic radiology departments in the United States. While academic medical centers vary widely depending on their size, complexity, medical school affiliation, research portfolio, and geographic location, they are united by their 3 core missions: patient care, education and training, and scholarship. Despite inherent differences, the current challenges faced by all academic radiology departments have common threads; potential solutions and future adaptations will need to be tailored and individualized—one size will not fit all. In this article, we provide an overview based on our experiences at 4 academic centers across the United States, from relatively small to very large size, and discuss creative and innovative ways to adapt, including community expansion, hybrid models of faculty in-person vs teleradiology (traditional vs non-traditional schedule), work-life integration, recruitment and retention, mentorship, among others.

The field of Radiology is continually changing, requiring corresponding evolution in both medical student and resident training to adequately prepare the next generation of radiologists. With advancements in adult education theory and a deeper understanding of perception in imaging interpretation, expert educators are reshaping the training landscape by introducing innovative teaching methods to align with increased workload demands and emerging technologies. These include the use of peer and interdisciplinary teaching, gamification, case repositories, flipped-classroom models, social media, and drawing and comics. This publication aims to investigate these novel approaches and offer persuasive evidence supporting their incorporation into the updated Radiology curriculum.

Over the past 15 years, the radiology community has made great progress moving from a system of score-based peer review to one of peer learning. Much has been learned along the way. In peer learning, cases in which learning opportunities are identified are reviewed solely for the purpose of fostering learning and improvement. This article defines peer learning and peer review and emphasizes the difference; looks back at the 20-year history of score-based peer review and transition to peer learning; outlines the problems with score-based peer review and the key elements of peer learning; discusses the current state of peer learning; and outlines future challenges and opportunities.

Artificial intelligence’s (AI) emergence in radiology elicits both excitement and uncertainty. AI holds promise for improving radiology with regards to clinical practice, education, and research opportunities. Yet, AI systems are trained on select datasets that can contain bias and inaccuracies. Radiologists must understand these limitations and engage with AI developers at every step of the process – from algorithm initiation and design to development and implementation – to maximize benefit and minimize harm that can be enabled by this technology.

To assess point-of-care ultrasound (POCUS) in 2024, we should start by defining its expanded scope and integration into general and specialty practice. Clinicians should abide by the evolving evidence for POCUS utilization and patient outcomes different from mortality and morbidity, especially as there are notable advancements in handheld ultrasound technology with a clear shift from capability to portability. To reduce diagnostic errors, POCUS practitioners need a holistic framework that accounts for known and new applications. Defining the POCUS scope of practices, proper training, and innovation, like artificial intelligence, can play a bigger role in mitigating diagnostic errors as we move forward.

Point-of-care ultrasound can provide critical diagnostic information and add to procedural safety. As with any clinical skill, however, it must be applied by an adequately trained provider, with systems to ensure safety. Training can include a mix of hands-on training with traditional didactics, online coursework, and simulation, but each carries its own costs and benefits worth of review. Following training it is essential to think about assessment of competency in point-of-care ultrasound to reflect the combination of cognitive and procedural skills that makes up the practice. Within the frameworks described, expansion can be expected across specialty and professional boundaries.

Point of care ultrasound has become an integral part of critical care medicine, particularly for recognizing shock etiologies and guiding management. Most of the current ultrasonography guided shock protocols have been tailored towards a qualitative assessment of patients on presentation with shock. Unfortunately, the evolving nature of shock, particularly in the face of resuscitation and physiologic changes, demands a more sophisticated approach. This manuscript serves to present a comprehensive algorithm called the transthoracic Subcostal To Apical, Respiratory to paraSternal and transesophageal Cardiac to Respiratory, Aortic to StomacH ultrasonographic evaluations for the assessment of shock. This protocol is better suited for the critically ill patient in its ability to move beyond pattern recognition and focus on monitoring shock states from their presentation through their evolution. Not only is importance placed on the sequence of the exam, but also the identification of signs of chronic disease, the early incorporation of pulmonary evaluation, and the role for transesophageal imaging in critically ill patients with difficult surface imaging. Given the broad capabilities of bedside ultrasound, the Subcostal To Apical, Respiratory to paraSternal-Cardiac to Respiratory, Aortic to StomacH protocol serves as a multifaceted algorithm allowing for a nuanced and dynamic approach for the resuscitation of critically ill patients in shock.

Ultrasound evaluation of the upper airway has emerged as an essential instrument for clinicians, offering real-time assessment that can help to guide interventions and improve patient outcomes. This review aims to provide health care providers with a practical approach to performing ultrasound evaluation of the upper airway, covering basic physics relevant to upper airway ultrasound, the identification of key anatomical structures, and elucidating its various clinical applications, such as prediction of difficult airway, confirmation of endotracheal intubation, and guidance for surgical airway procedures and airway blocks. We also discuss evidence-based training programs, limitations, and future directions of ultrasound imaging of the upper airway.

As the scope of point-of-care ultrasound (POCUS) expands in clinical medicine, its application in neurological applications offers a non-invasive, bedside diagnostic tool. With historical insights, detailed techniques and clinical applications, the chapter provides a comprehensive overview of neurology-based POCUS. It examines the applications, emphasizing its role when traditional neuroimaging is inaccessible or unsafe as well advocating for its use as an adjunctive tool, rather than a replacement of advanced imaging. The chapter covers a range of uses of neuro POCUS including assessment of midline shift, intracranial hemorrhage, hydrocephalus, vasospasm, intracranial pressure, cerebral circulatory arrest, and ultrasound-guided lumbar puncture.