RESUMEN
INTRODUCTION: The calcaneus is the most commonly fractured tarsal bone. Diagnosis is often challenging due to subtle radiographic changes and requires timely identification to prevent complications, including subtalar arthritis, neurovascular injury, malunion, osteomyelitis, and compartment syndrome. Treatment varies based on fracture type, with non-surgical methods for non-displaced stress fractures and surgical interventions for displaced or intra-articular fractures. METHODS: This study utilized the Wisdom in Diagnostic Imaging Simulation (WIDI SIM) platform, an emergency imaging simulation designed to assess radiology resident preparedness for independent call. During an 8-hour simulation, residents were tested on 65 cases across various imaging modalities of varying complexity, including normal studies. A single, unique case of calcaneal fracture was included within the simulation in four separate years of testing. Cases were assessed using a standardized grading rubric by subspecialty radiology faculty, with errors subsequently classified by type. RESULTS: A total of 1279 residents were tested in five separate years on the findings of calcaneal fractures of 5 different patients. Analysis revealed a consistent pattern of missed diagnoses across all training years, primarily attributed to observational errors. There was limited improvement with training progression as all training years exhibited similar average performance levels. CONCLUSIONS: Calcaneal fractures pose a diagnostic challenge due to their frequent subtle radiographic findings, especially in stress fractures. Simulation-based evaluations using WIDI SIM highlighted challenges in radiology residents' proficiency in diagnosing calcaneal fractures. Addressing these challenges through targeted education and exposure to diverse cases is essential to improve diagnostic accuracy and reduce complications with calcaneal fractures.
RESUMEN
BACKGROUND AND PURPOSE: Suppurative retropharyngeal lymphadenitis is a retropharyngeal space infection almost exclusively seen in the young (4-8 years old) pediatric population. It can be misdiagnosed as a retropharyngeal abscess, leading to unnecessary invasive treatment procedures. This retrospective study aims to assess radiology residents' ability to independently identify CT imaging findings and make a definitive diagnosis of suppurative retropharyngeal lymphadenitis in a simulated call environment. MATERIALS AND METHODS: The Wisdom in Diagnostic Imaging Emergent/Critical Care Radiology Simulation (WIDI SIM) is a computer-aided emergency imaging simulation proven to be a reliable method for assessing resident preparedness for independent radiology call. The simulation included 65 cases across various imaging modalities of varying complexity, including normal studies, with one case specifically targeting suppurative retropharyngeal adenitis identification. Residents' free text responses were manually scored by faculty members using a standardized grading rubric, with errors subsequently classified by type. RESULTS: A total of 543 radiology residents were tested in three separate years on the imaging findings of suppurative retropharyngeal lymphadenitis using the Wisdom in Diagnostic Imaging simulation web-based testing platform. Suppurative retropharyngeal lymphadenitis was consistently underdiagnosed by radiology residents being tested for call readiness irrespective of the numbers of years in training. On average, only 3.5% of radiology residents were able to correctly identify suppurative retropharyngeal lymphadenitis on a contrast-enhanced computed tomography (CT). CONCLUSIONS: Our findings underscore a potential gap in radiology residency training related to the accurate identification of suppurative retropharyngeal lymphadenitis, highlighting the potential need for enhanced educational efforts in this area.
Asunto(s)
Internado y Residencia , Linfadenitis , Radiología , Humanos , Niño , Preescolar , Estudios Retrospectivos , Radiología/educación , Competencia Profesional , Linfadenitis/diagnóstico por imagenRESUMEN
PURPOSE: Basilar artery strokes are rare but can have characteristic imaging findings that can often be overlooked. This retrospective study aims to assess radiology residents' ability to identify CT imaging findings of basilar artery occlusion in a simulated call environment. METHODS: The Wisdom in Diagnostic Imaging Emergent/Critical Care Radiology Simulation (WIDI SIM)-a tested and reliable computer-aided emergency imaging simulation-was employed to assess resident readiness for independent radiology call. The simulations include 65 cases of varying complexity, including normal studies, with one case specifically assessing basilar artery stroke. Residents were presented with a single, unique case of basilar artery occlusion in two separate years of testing and were only provided with non-contrast CT images. Residents' free text responses were manually scored by faculty members using a standardized grading rubric, with errors subsequently classified by type. RESULTS: A total of 454 radiology residents were tested in two separate years on the imaging findings of basilar artery occlusion using the Wisdom in Diagnostic Imaging simulation web-based testing platform. Basilar artery occlusion was consistently underdiagnosed by radiology residents being tested for call readiness irrespective of the numbers of years in training. On average, only 14% of radiology residents were able to correctly identify basilar artery occlusion on non-contrast CT. CONCLUSIONS: Our findings underscore a potential gap in radiology residency training related to the detection of basilar artery occlusion, highlighting the potential need for increased educational efforts in this area.
Asunto(s)
Internado y Residencia , Radiología , Accidente Cerebrovascular , Humanos , Arteria Basilar/diagnóstico por imagen , Competencia Profesional , Radiología/educación , Estudios RetrospectivosRESUMEN
RATIONALE AND OBJECTIVES: This study explores the implementation and efficacy of an online, interactive, case-based radiology education tool, Wisdom in Diagnostic Imaging (WIDI) Case-Based Intro to Radiology (CBIR). We hypothesize that the WIDI CBIR platform would enhance radiology teaching, foster critical thinking, and provide a comprehensive curriculum in imaging interpretation and utilization. MATERIALS AND METHODS: A focus group consisting of 1 undergraduate, 7 medical students, 9 physician assistant students, and 3 PhD students participated in this study. We tested 3 different teaching methods: a didactic approach without WIDI, a proctored didactic approach using WIDI, and a flipped classroom approach using WIDI. An online survey was conducted to assess student preference and feedback on these methods and the use of WIDI in their curriculum. RESULTS: Most students preferred the proctored didactic approach with WIDI. They reported that the platform complemented their curriculum and encouraged critical thinking. The modules covered adequate clinical and imaging details and enhanced their skills in imaging interpretation. Despite the limitations of a small sample size and reliance on self-reported outcomes, this study indicates that the WIDI platform could be integrated into PA and medical school curricula throughout the US, offering a standardized radiology curriculum. CONCLUSION: The UF WIDI appears to be a promising tool for modernizing radiology education, improving imaging interpretation skills, and enhancing appropriate imaging selection among nonradiologist medical learners. WIDI offers case-based education in imaging use, workflow, search-pattern selection, and interpretation of common radiological findings, potentially bridging the gap in radiology education. Further research and larger studies are required to assess the long-term impact on performance and clinical practice.
Asunto(s)
Instrucción por Computador , Educación de Pregrado en Medicina , Radiología , Estudiantes de Medicina , Humanos , Curriculum , Radiología/educación , Radiografía , Evaluación Educacional , Educación de Pregrado en Medicina/métodosRESUMEN
A woman in her 70s presented to primary care clinic complaining of acute onset dizziness for 1 day that was initially diagnosed as vestibular neuritis and treated with steroids. The next day, she presented to the emergency department with worsening symptoms. Imaging revealed no intracranial process; however, non-contrast CT imaging revealed a soft-tissue mass in the posterior ethmoid sinus. The vertigo completely resolved before an otolaryngologist surgically removed the nasal mass, which actually originated from the right cribriform plate and extended to the anterior middle turbinate head. The final pathology was consistent with seromucinous hamartoma.
Asunto(s)
Hamartoma , Neuronitis Vestibular , Femenino , Humanos , Cavidad Nasal/patología , Cornetes Nasales/patología , Hueso Etmoides/patología , Vértigo , Hamartoma/patologíaRESUMEN
INTRODUCTION: Artificial intelligence (AI) has the potential to transform oncologic care. There have been significant developments in AI applications in medical imaging and increasing interest in multimodal models. These are likely to enable improved oncologic care through more precise diagnosis, increasingly in a more personalized and less invasive manner. In this review, we provide an overview of the current state and challenges that clinicians, administrative personnel and policy makers need to be aware of and mitigate for the technology to reach its full potential. AREAS COVERED: The article provides a brief targeted overview of AI, a high-level review of the current state and future potential AI applications in diagnostic radiology and to a lesser extent digital pathology, focusing on oncologic applications. This is followed by a discussion of emerging approaches, including multimodal models. The article concludes with a discussion of technical, regulatory challenges and infrastructure needs for AI to realize its full potential. EXPERT OPINION: There is a large volume of promising research, and steadily increasing commercially available tools using AI. For the most advanced and promising precision diagnostic applications of AI to be used clinically, robust and comprehensive quality monitoring systems and informatics platforms will likely be required.
Asunto(s)
Inteligencia Artificial , Neoplasias , Humanos , Diagnóstico por Imagen , Oncología Médica , Predicción , Cuidados Paliativos , Neoplasias/diagnóstico por imagen , Neoplasias/terapiaRESUMEN
Right ventricular (RV) dysfunction and pulmonary hypertension (PH) occurs in approximately one-third of patients with interstitial lung disease (ILD) and is associated with reduced 6-minute walk distance (6MWD), and increased hospitalizations and mortality. Although the impact of RV dysfunction and PH has been well described in several types of ILD, data is scarce on antisynthetase syndrome. Therefore, we sought to examine the presence of RV dysfunction and PH in patients with antisynthetase syndrome and the impact on clinical outcomes. We conducted a retrospective study of patients with antisynthetase syndrome. Seventy-five subjects were identified. Fifty-one (68%) subjects had echocardiographic data. Patients were grouped into those with normal fractional area change (FAC) ≥ 35% and reduced FAC < 35%. Clinical, echocardiographic, and right heart catheterization data were compared between the two groups. Subjects with FAC < 35% had lower diffusion capacity of the lung for carbon monoxide (29% vs. 47%, p = 0.004), fibrotic features on computed tomography of the chest (79% vs. 33%, p = 0.005), larger RV diameter (5.4 vs. 3.9 cm, p < 0.001), higher right atrial pressures (8 vs. 5 mmHg, p = 0.02), and required supplemental oxygen more frequently (100% vs. 44%, p < 0.001) compared to those with FAC ≥ 35%. We found no difference in 6MWD and hospitalizations between the two groups. The presence of RV dysfunction in antisynthetase syndrome may identify patients at risk of poor outcomes.