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1.
Medicine (Baltimore) ; 100(6): e24685, 2021 Feb 12.
Artigo em Inglês | MEDLINE | ID: mdl-33578600

RESUMO

ABSTRACT: Biportal endoscopic spine surgery (BESS) is extending its application to most kind of spine surgeries. Postoperative spinal epidural hematoma (POSEH) is one of the major concerns of this emerging technique. Through this study we aim to investigate the incidence of POSEH in BESS comparing to a conventional spine surgery (CSS).The patients who underwent a non-fusion decompressive spine surgery due to degenerative lumbar spinal stenosis (LSS) or herniated lumbar disc (HLD) or both between January 2015 and March 2019 were reviewed retrospectively. The incidence of clinical POSEH that demanded a revision surgery for hematoma evacuation was compared between CSS and BESS. As a second endpoint, the morphometric degree of POSEH was compared between the two groups. The maximal compression of cauda equina by POSEH was measured by 4 grade scale at the T2 axial image and the neurological state was evaluated by 5 grade scale. The indication of hematoma evacuation was more than hG3 with more than nG1. As a subgroup analysis, risk factors of POSEH in BESS were investigated.The 2 groups were homogenous in age, sex, number and level of operated segments. There was significant difference in the incidence of symptomatic POSEH as 2/142 (1.4%) in CSS and 8/95 (8.4%) in BESS (P = .016). The radiological thecal sac compression by hematoma was hG1 65 (61.3%), hG2 35 (33.0%), hG3 5 (4.7%), hG4 1 (0.9%) cases in CSS and hG1 33 (39.8%), hG2 25 (30.1%), hG3 22 (26.5%), hG4 3 cases (3.6%) in BESS. The difference was significant (P < .001). In BESS subgroup analysis, the risk factor of high grade POSEH was bilateral laminectomy (OR = 8.893, P = .023).The incidence of clinical and morphometric POSEH was higher in BESS. In BESS, POSEH developed more frequently in bilateral laminectomy than unilateral laminectomy.


Assuntos
Endoscopia/efeitos adversos , Hematoma Epidural Espinal/etiologia , Procedimentos Cirúrgicos Minimamente Invasivos/métodos , Estenose Espinal/cirurgia , Idoso , Estudos de Casos e Controles , Síndrome da Cauda Equina/diagnóstico por imagem , Síndrome da Cauda Equina/etiologia , Síndrome da Cauda Equina/cirurgia , Descompressão Cirúrgica/métodos , Feminino , Hematoma Epidural Espinal/diagnóstico por imagem , Hematoma Epidural Espinal/epidemiologia , Hematoma Epidural Espinal/cirurgia , Humanos , Incidência , Laminectomia/métodos , Vértebras Lombares/patologia , Imagem por Ressonância Magnética/métodos , Masculino , Pessoa de Meia-Idade , Complicações Pós-Operatórias/epidemiologia , Radiologia/métodos , Estudos Retrospectivos , Fatores de Risco
2.
Pathologe ; 42(1): 86-94, 2021 Feb.
Artigo em Alemão | MEDLINE | ID: mdl-33496812

RESUMO

In addition to pneumology and pathology, radiology is an essential discipline in the interdisciplinary diagnosis of interstitial lung diseases (ILDs). The gold standard for diagnosis of ILD is computed tomography. Diagnostic findings are based on specific radiological signs such as interlobular septal thickening and nodular changes. From these signs and their distribution within the lung, radiological patterns can be derived, e.g., usual interstitial pneumonia, nonspecific interstitial pneumonia, or organizing pneumonia. Various differential diagnoses result from the radiological pattern, which can then be further limited in an interdisciplinary manner with the clinic and pathology and, if necessary, trigger further diagnostics.The visual assessment of interstitial lung changes requires experience and training and is nevertheless error-prone with high inter- and intraobserver variabilities. Recently, therefore, computer-aided analysis of ILDs has been increasingly promoted. These computer programs analyze the density distribution of the lung parenchyma using parameters such as mean lung density, skewness, and kurtosis thus enabling the quantification and assessment of the course of disease. Furthermore, texture analysis and artificial intelligence are used to characterize parenchymal changes and differentiate between regions of ground glass, reticulation, and honeycombing. Modern dual-energy CT methods allow a combined, regional recording of both the morphology and the function and provide information about regional ventilation and perfusion.


Assuntos
Doenças Pulmonares Intersticiais , Radiologia , Inteligência Artificial , Humanos , Pulmão/diagnóstico por imagem , Doenças Pulmonares Intersticiais/diagnóstico por imagem , Tomografia Computadorizada por Raios X
4.
Acad Radiol ; 28(3): 393-401, 2021 03.
Artigo em Inglês | MEDLINE | ID: mdl-33455861

RESUMO

The Covid-19 pandemic surges of 2020 resulted in major operational, personal, and financial impacts on US radiology practices. In response, a series of strategic and intentional operational changes were implemented, varying by practice size, structure and model. In reviewing the many business lessons that we learned during the pandemic, it became clear that for a business to be successful, a host of additional supportive factors are necessary. In addition to timely expense reductions, optimizing revenue capture and close monitoring and management of cash and reserves available for use, we also consider effective leadership and communication strategies, maintenance of a healthy and adequately staffed team, support for a remote work environment and flexible staffing models. Other ingredients include effectively embracing digital media for communications, careful attention to current and new stakeholders and the service delivered to them, understanding federal and state regulatory changes issued in response to the pandemic, close collaboration with the Human Resources office, and an early focus on redesigning your future practice structure and function, including disaster and downtime planning. This review aims to share lessons to enable leaders of an imaging enterprise to be better prepared for similar and future surges.


Assuntos
Radiologia , Humanos , Internet , Pandemias/prevenção & controle
5.
Arch Osteoporos ; 16(1): 6, 2021 01 06.
Artigo em Inglês | MEDLINE | ID: mdl-33403479

RESUMO

Text-search software can be used to identify people at risk of re-fracture. The software studied identified a threefold higher number of people with fractures compared with conventional case finding. Automated software could assist fracture liaison services to identify more people at risk than traditional case finding. PURPOSE: Fracture liaison services address the post-fracture treatment gap in osteoporosis (OP). Natural language processing (NLP) is able to identify previously unrecognized patients by screening large volumes of radiology reports. The aim of this study was to compare an NLP software tool, XRAIT (X-Ray Artificial Intelligence Tool), with a traditional fracture liaison service at its development site (Prince of Wales Hospital [POWH], Sydney) and externally validate it in an adjudicated cohort from the Dubbo Osteoporosis Epidemiology Study (DOES). METHODS: XRAIT searches radiology reports for fracture-related terms. At the development site (POWH), XRAIT and a blinded fracture liaison clinician (FLC) reviewed 5,089 reports and 224 presentations, respectively, of people 50 years or over during a simultaneous 3-month period. In the external cohort of DOES, XRAIT was used without modification to analyse digitally readable radiology reports (n = 327) to calculate its sensitivity and specificity. RESULTS: XRAIT flagged 433 fractures after searching 5,089 reports (421 true fractures, positive predictive value of 97%). It identified more than a threefold higher number of fractures (421 fractures/339 individuals) compared with manual case finding (98 individuals). Unadjusted for the local reporting style in an external cohort (DOES), XRAIT had a sensitivity of 70% and specificity of 92%. CONCLUSION: XRAIT identifies significantly more clinically significant fractures than manual case finding. High specificity in an untrained cohort suggests that it could be used at other sites. Automated methods of fracture identification may assist fracture liaison services so that limited resources can be spent on treatment rather than case finding.


Assuntos
Fraturas Ósseas , Osteoporose , Fraturas por Osteoporose , Radiologia , Inteligência Artificial , Fraturas Ósseas/diagnóstico por imagem , Fraturas Ósseas/epidemiologia , Humanos , Processamento de Linguagem Natural , Fraturas por Osteoporose/diagnóstico por imagem , Fraturas por Osteoporose/epidemiologia
6.
Praxis (Bern 1994) ; 110(1): 48-53, 2021 Jan.
Artigo em Alemão | MEDLINE | ID: mdl-33406927

RESUMO

Artificial Intelligence in Radiology - Definition, Potential and Challenges Abstract. Artificial Intelligence (AI) is omnipresent. It has neatly permeated our daily life, even if we are not always fully aware of its ubiquitous presence. The healthcare sector in particular is experiencing a revolution which will change our daily routine considerably in the near future. Due to its advanced digitization and its historical technical affinity radiology is especially prone to these developments. But what exactly is AI and what makes AI so potent that established medical disciplines such as radiology worry about their future job perspectives? What are the assets of AI in radiology today - and what are the major challenges? This review article tries to give some answers to these questions.


Assuntos
Inteligência Artificial , Radiologia , Previsões , Humanos , Aprendizado de Máquina
8.
Acad Radiol ; 28(1): 136-141, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33036896

RESUMO

The COVID-19 pandemic required restructuring of Radiology trainee education across US institutions. While reduced clinical imaging volume and mandates to maintain physical distancing presented new challenges to traditional medical education during this period, new opportunities developed to support our division in providing high-quality training for residents and fellows. The Accreditation Council for Graduate Medical Education (ACGME) Core Competencies for Diagnostic Radiology helped guide division leadership in restructuring and reframing breast imaging education during this time of drastic change and persistent uncertainty. Here, we reflect on the educational challenges and opportunities faced by our academic breast imaging division during the height of the COVID-19 pandemic across each of the ACGME Core Competencies. We also discuss how systems and processes developed out of necessity during the first peak of the pandemic may continue to support radiology training during phased reopening and beyond.


Assuntos
Neoplasias da Mama , Internato e Residência , Radiologia , Acreditação , Neoplasias da Mama/diagnóstico por imagem , Educação de Pós-Graduação em Medicina , Humanos , Pandemias , Radiologia/educação
9.
Acad Radiol ; 28(1): 1-7, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33036897

RESUMO

RATIONALE AND OBJECTIVES: Quantify changes in total and by-subspecialty radiology workload due to deferring nonurgent services during the initial COVID-19 pandemic, and describe operational strategies implemented due to shifts in priority. MATERIALS AND METHODS: This retrospective, Institutional Review Board-exempt, study was performed between February 3, 2020 and April 19, 2020 at a large academic medical center. During March 9-15 (intervention period), nonurgent outpatient service deferments began. Five-week periods pre- (baseline) and postintervention (COVID) were defined. Primary outcomes were radiology volume (reports per day) overall and in 11 subspecialty divisions. Linear regression assessed relationship between baseline vs. COVID volumes stratified by division. Secondary outcomes included changes in relative value units (RVUs), inpatient and outpatient volumes. RESULTS: There were 62,791 baseline reports vs. 23,369 during COVID; a 60% overall precipitous volume decrease (p < 0.001). Mean volume decrease pre- and during-COVID was significant (p < 0.001) amongst all individual divisions. Mean volume decrease differed amongst divisions: Interventional Radiology experienced least disruption (29% volume decrease), 7 divisions experienced 40%-60% decreases, and Musculoskeletal, Breast, and Cardiovascular imaging experienced >75% volume decrease. Total RVUs decreased 60% (71,186 baseline; 28,476 COVID). Both outpatient and inpatient report volumes decreased; 72% (41,115 baseline; 11,326 COVID) and 43% (12,626 baseline vs. 6,845 COVID), respectively. In labor pool tracking data, 21.8% (162/744) total radiology employees were reassigned to other hospital duties during the intervention period. CONCLUSION: Precipitous radiology workload reductions impacted subspecialty divisions with marked variation. Data-driven operational decisions during COVID-19 assisted workflow and staffing assignment changes. Ongoing adjustments will be needed as healthcare systems transition operations to a "new normal."


Assuntos
Betacoronavirus , Infecções por Coronavirus , Pneumonia Viral , Radiologia , Infecções por Coronavirus/epidemiologia , Humanos , Pandemias , Pneumonia Viral/epidemiologia , Estudos Retrospectivos , Carga de Trabalho
10.
Clin Imaging ; 69: 324-327, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-33045477

RESUMO

Currently, the COVID-19 pneumonia epidemic is spreading worldwide. Pulmonary imaging plays an important role. The pulmonary imaging (chest computed tomography and Digital radiography) are indispensable for definitive diagnosis and reexamination. It should be noted that nosocomial infection is not uncommon. Many cases including health workers are infected. This is the experience of our radiology department's protocols during the outbreak, we used this protocol to cope with the COVID-19 in Sichuan Province, besides,there is zero infection for health workers during the whole epidemic. So, we would like to share our experience to other radiologists to avoid the nosocomial infection as low as possible. We have six key points for updating the protocol in the epidemic period of COVID-19: 1. Triage system: three-level triage, 2. Maximum Protection Principle, 3. Technical operation principle: careful, fast and stable, 4. Radiologist's Responsibility and Notice, 5. Disinfection measures of machine room, 6. Hospital information construction, network office, accelerate the sharing of imaging, and carry out MDT consultation.


Assuntos
Infecções por Coronavirus , Pneumonia Viral , Radiologia , Infecções por Coronavirus/epidemiologia , Hospitais , Humanos , Pandemias , Pneumonia Viral/epidemiologia
11.
Acad Radiol ; 28(1): 106-111, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33046369

RESUMO

RATIONALE AND OBJECTIVES: The COVID-19 pandemic has greatly impacted radiology departments across the country. The pandemic has also disrupted resident education, both due to departmental social distancing efforts and reduced imaging volumes. The purpose of this study was to assess the differential impact the pandemic had on radiology resident imaging volumes by training year and imaging modality. MATERIALS AND METHODS: All signed radiology resident reports were curated during defined prepandemic and intrapandemic time periods. Imaging case volumes were analyzed on a mean per resident basis to quantify absolute and percent change by training level. Change in total volume by imaging modality was also assessed. The number of resident workdays assigned outside the normal reading room was also calculated. RESULTS: Overall percent decline in resident imaging interpretation volume from the prepandemic to intrapandemic time period was 62.8%. R1s and R2s had the greatest decline at 87.3% and 64.3%, respectively. Mammography, MRI and nuclear medicine had the greatest decline in resident interpretation volume at 92.0%, 73.2%, and 73.0%, respectively. During the intrapandemic time period, a total of 478 resident days (mean of 14.5 days per resident) were reassigned outside of the radiology reading room. CONCLUSION: The COVID-19 pandemic caused a marked decrease in radiology resident imaging interpretation volume and has had a tremendous impact on resident education. The decrease in case interpretation, as well as in-person teaching has profound implications for resident education. Knowledge of this differential decrease by training level will help residency programs plan for the future.


Assuntos
Betacoronavirus , Infecções por Coronavirus , Internato e Residência , Pneumonia Viral , Radiologia , Infecções por Coronavirus/epidemiologia , Humanos , Pandemias , Pneumonia Viral/epidemiologia , Radiologia/educação
12.
Acad Radiol ; 28(1): 119-127, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33109449

RESUMO

PURPOSE: The SARS-CoV-2 pandemic has drastically disrupted radiology in-person education. The purpose of this study was to assess the implementation of a virtual teaching method using available technology and its role in the continuity of education of practicing radiologists and trainees during the pandemic. METHODS: The authors created the Online Liver Imaging Course (OLIC) that comprised 28 online comprehensive lectures delivered in real-time and on-demand over six weeks. Radiologists and radiology trainees were asked to register to attend the live sessions. At the end of the course, we conducted a 46-question survey among registrants addressing their training level, perception of virtual conferencing, and evaluation of the course content. RESULTS: One thousand four hundred and thirty four radiologists and trainees completed interest sign up forms before the start of the course with the first webinar having the highest number of live attendees (343 people). On average, there were 89 live participants per session and 750 YouTube views per recording (as of July 9, 2020). After the end of the course, 487 attendees from 37 countries responded to the postcourse survey for an overall response rate of (33%). Approximately (63%) of participants were practicing radiologists while (37%) were either fellows or residents and rarely medical students. The overwhelming majority (97%) found the OLIC webinar series to be beneficial. Essentially all attendees felt that the webinar sessions met (43%) or exceeded (57%) their expectations. When asked about their perception of virtual conferences after attending OLIC lectures, almost all attendees (99%) enjoyed the virtual conference with a majority (61%) of the respondents who enjoyed the virtual format more than in-person conferences, while (38%) enjoyed the webinar format but preferred in-person conferences. When asked about the willingness to attend virtual webinars in the future, (84%) said that they would attend future virtual conferences even if in-person conferences resume while (15%) were unsure. CONCLUSION: The success of the OLIC, attributed to many factors, indicates that videoconferencing technology provides an inexpensive alternative to in-person radiology conferences. The positive responses to our postcourse survey suggest that virtual education will remain to stay. Educational institutions and scientific societies should foster such models.


Assuntos
Betacoronavirus , Pneumonia Viral , Radiologia , Humanos , Fígado , Pandemias , Pneumonia Viral/epidemiologia
13.
Dentomaxillofac Radiol ; 50(1): 20200133, 2021 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-32525697

RESUMO

The history of the last 50 years (1970-2020) of technological changes and progresses for equipment and procedures in dental and maxillofacial radiology is related from the insider perspective of an industrial physicist and technologist who has been instrumental at innovating and developing medical equipment in different parts of the world. The onset and improvement of all major categories of dental and maxillofacial radiographic equipment is presented, from the standpoint of their practical acceptance and impact among common dentists and maxillofacial radiologists: X-ray sources and detectors for intraoral radiography, and panoramic systems, both film-based and digital (including photo-stimulated phosphor plates); and cone beam CT.


Assuntos
Radiografia Dentária Digital , Radiologia , Tomografia Computadorizada de Feixe Cônico , Radiografia , Tecnologia
14.
Br J Radiol ; 94(1117): 20200975, 2021 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-32941736

RESUMO

Artificial intelligence (AI) has received widespread and growing interest in healthcare, as a method to save time, cost and improve efficiencies. The high-performance statistics and diagnostic accuracies reported by using AI algorithms (with respect to predefined reference standards), particularly from image pattern recognition studies, have resulted in extensive applications proposed for clinical radiology, especially for enhanced image interpretation. Whilst certain sub-speciality areas in radiology, such as those relating to cancer screening, have received wide-spread attention in the media and scientific community, children's imaging has been hitherto neglected.In this article, we discuss a variety of possible 'use cases' in paediatric radiology from a patient pathway perspective where AI has either been implemented or shown early-stage feasibility, while also taking inspiration from the adult literature to propose potential areas for future development. We aim to demonstrate how a 'future, enhanced paediatric radiology service' could operate and to stimulate further discussion with avenues for research.


Assuntos
Inteligência Artificial , Diagnóstico por Imagem/métodos , Pediatria/métodos , Radiologia/métodos , Criança , Tomada de Decisão Clínica , Humanos , Interpretação de Imagem Assistida por Computador/métodos
15.
Acad Radiol ; 28(1): 112-118, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33268209

RESUMO

RATIONALE AND OBJECTIVES: The need for social distancing has resulted in rapid restructuring of medical student education in radiology. While students traditionally spend time learning in the reading room, remote clinical learning requires material shared without direct teaching at the radiology workstation. Can remote clinical learning meet or exceed the educational value of the traditional in-person learning experience? Can student engagement be matched or exceeded in a remote learning environment? MATERIALS AND METHODS: To replace the in-person reading room experience, a small-group learning session for medical students named Virtual Read-Out (VRO) was developed using teleconferencing software. After Institutional Review Board approval, two student groups were anonymously surveyed to assess differences in student engagement and perceived value between learning environments: "Conventional" students participating in the reading room (before the pandemic) and "Remote" students participating in VRO sessions. Students reported perceived frequency of a series of five-point Likert statements. Based on number of respondents, an independent t-test was performed to determine the significance of results between two groups. RESULTS: Twenty-seven conventional and 41 remote students responded. Remote students reported modest but significantly higher frequency of active participation in reviewing radiology exams (p < 0.05). There was significantly lower frequency of reported boredom among Remote students (p < 0.05). There was no significant difference in perceived educational value between the two groups. CONCLUSION: Students report a high degree of teaching quality, clinical relevance, and educational value regardless of remote or in-person learning format. Remote clinical radiology education can be achieved with equal or greater student interaction and perceived value in fewer contact hours than conventional learning in the reading room.


Assuntos
Radiologia , Estudantes de Medicina , Humanos , Pandemias
16.
Clin Imaging ; 69: 33-36, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-32652455

RESUMO

The coronavirus disease 2019 (COVID-19) outbreak, first reported in Wuhan, China, is gradually spreading worldwide. For diagnosis, chest computed tomography is a conventional, noninvasive imaging modality that is very accurate for detection and evaluation of pneumonia and is an important adjunct to real-time reverse transcription polymerase chain reaction diagnosis of the virus. Previous studies have reported typical computed tomography imaging features indicative of COVID-19, such as multifocal ground-glass opacities with or without consolidation. With the sharply increasing demand for computed tomography examination during the outbreak, ensuring appropriate infection control in radiology departments is challenging. Thus, advanced training and education in standardized infection control and prevention practice are essential. The purpose of this brief review is to summarize such training and education for clinical management of this outbreak for radiology department personnel. We will describe standard transmission-based precautions, workflow for computed tomography examination of fever patients, and decontamination management of a radiology department.


Assuntos
Betacoronavirus , Infecções por Coronavirus , Pneumonia Viral , Radiologia , Grupo com Ancestrais do Continente Asiático , China/epidemiologia , Infecções por Coronavirus/diagnóstico por imagem , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/prevenção & controle , Humanos , Controle de Infecções , Pandemias , Pneumonia Viral/epidemiologia
17.
Clin Imaging ; 69: 243-245, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-32979790

RESUMO

The three stage model set forth by the ACGME, which provides a framework for pandemic residency program management, is insufficient and could best be expanded to 5 stages to include post-pandemic-peak residency program management. Stage 4, "Increased non-COVID clinical demands," present the challenge of an increased clinical workload in the setting of social distancing while reengaging the educational mission of the residency program. In Stage 5, "Business as usual, redefined," the residency program must learn to adapt to new challenges including uncertainty surrounding the American Board of Radiology (ABR) Core examination, uncertainty in the job market, and potential diminished medical student interest in radiology. Despite these challenges, this post-pandemic environment offers tremendous opportunity to build on and enhance the residency program now and into the future.


Assuntos
Internato e Residência , Radiologia , Humanos , Pandemias , Radiografia , Radiologia/educação , Estados Unidos
18.
Clin Imaging ; 69: 246-254, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-32980785

RESUMO

Artificial intelligence (AI) is a fast-growing research area in computer science that aims to mimic cognitive processes through a number of techniques. Supervised machine learning, a subfield of AI, includes methods that can identify patterns in high-dimensional data using labeled 'ground truth' data and apply these learnt patterns to analyze, interpret, or make predictions on new datasets. Supervised machine learning has become a significant area of interest within the medical community. Radiology and neuroradiology in particular are especially well suited for application of machine learning due to the vast amount of data that is generated. One devastating disease for which neuroimaging plays a significant role in the clinical management is stroke. Within this context, AI techniques can play pivotal roles for image-based diagnosis and management of stroke. This overview focuses on the recent advances of artificial intelligence methods - particularly supervised machine learning and deep learning - with respect to workflow, image acquisition and reconstruction, and image interpretation in patients with acute stroke, while also discussing potential pitfalls and future applications.


Assuntos
Radiologia , Acidente Vascular Cerebral , Inteligência Artificial , Previsões , Humanos , Aprendizado de Máquina , Acidente Vascular Cerebral/diagnóstico por imagem
19.
Clin Imaging ; 69: 328-331, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-33049430

RESUMO

The transition from trainee to newly minted breast radiologist is exciting and daunting in equal measure. The early years in practice are pivotal to long-term success in breast imaging whether entering academic or nonacademic practice. Yet a paucity of literature exists to guide junior radiologists in their early career transition. New breast radiologists can successfully navigate the start of a prosperous and enriching career by implementing strategies adapted from the business world and collective wisdom from the radiology world. This article provides an outline of tips and habits for new radiologists to incorporate in their work lives as attendings to ensure that they will thrive in breast imaging for years to come.


Assuntos
Radiologistas , Radiologia , Mama/diagnóstico por imagem , Humanos , Radiografia
20.
Br J Radiol ; 94(1119): 20200755, 2021 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-33353379

RESUMO

COVID-19 can cause damage to the lung, which can result in progressive respiratory failure and potential death. Chest radiography and CT are the imaging tools used to diagnose and monitor patients with COVID-19. Lung ultrasound (LUS) during COVID-19 is being used in some areas to aid decision-making and improve patient care. However, its increased use could help improve existing practice for patients with suspected COVID-19, or other lung disease. A limitation of LUS is that it requires practitioners with sufficient competence to ensure timely, safe, and diagnostic clinical/imaging assessments. This commentary discusses the role and governance of LUS during and beyond the COVID-19 pandemic, and how increased education and training in this discipline can be undertaken given the restrictions in imaging highly infectious patients. The use of simulation, although numerical methods or dedicated scan trainers, and machine learning algorithms could further improve the accuracy of LUS, whilst helping to reduce its learning curve for greater uptake in clinical practice.


Assuntos
/diagnóstico por imagem , Pneumonia Viral/diagnóstico por imagem , Radiologia/educação , Ultrassonografia/métodos , Competência Clínica , Humanos , Aprendizado de Máquina , Pandemias , Pneumonia Viral/virologia , Sistemas Automatizados de Assistência Junto ao Leito
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