Current Problems in Diagnostic Radiology最新文献

{"title":"Synergy between formal and informal education","authors":"Abigail E. Beard ,&nbsp;Yo Sup Kim ,&nbsp;Richard B. Gunderman","doi":"10.1067/j.cpradiol.2024.01.027","DOIUrl":"10.1067/j.cpradiol.2024.01.027","url":null,"abstract":"<div><p>The informal components of education can shape a person's capacity to contribute. Such informal components might include cultural backgrounds, work experiences, and extracurricular pursuits. To appreciate the synergy between formal and informal education it can be helpful to explore a particular case of someone who actually combined the two to make the whole more than the sum of its parts.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 175-176"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139632912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CT perfusion in stroke: Comparing conventional and RAPID automated software","authors":"Heta Ladumor MD ,&nbsp;George K. Vilanilam MBBS ,&nbsp;Sanaz Ameli MD ,&nbsp;Ishan Pandey BBA ,&nbsp;Surjith Vattoth MD, FRCR","doi":"10.1067/j.cpradiol.2023.10.011","DOIUrl":"10.1067/j.cpradiol.2023.10.011","url":null,"abstract":"<div><p>CT perfusion (CTP) imaging is increasingly used for routine evaluation of acute ischemic stroke<span>. Knowledge about the different types of CTP software, imaging acquisition and post-processing, and interpretation is crucial for appropriate patient selection for reperfusion therapy. Conventional vendor-provided CTP software differentiates between ischemic penumbra and core infarct using the tiebreaker of critically reduced cerebral blood volume (CBV) values within brain regions showing abnormally elevated time parameters like mean transit time (MTT) or time to peak (TTP). On the other hand, RAPID automated software differentiates between ischemic penumbra and core infarct using the tiebreaker of critically reduced cerebral blood flow (CBF) values within brain regions showing abnormally elevated time to maximum (Tmax). Additionally, RAPID calculates certain indices that confer prognostic value, such as the hypoperfusion and CBV index. In this review, we aim to familiarize the reader with the technical principles of CTP imaging, compare CTP maps generated by conventional and RAPID software, and discuss important thresholds for reperfusion and prognostic indices. Lastly, we discuss common pitfalls to help with the accurate interpretation of CTP imaging.</span></p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 201-207"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61567055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategies for successful integration of work from home faculty in an academic radiology department","authors":"Colin D Strickland MD ,&nbsp;James A Korf MD ,&nbsp;Mary K Jesse MD ,&nbsp;Gerald D Dodd MD","doi":"10.1067/j.cpradiol.2023.12.003","DOIUrl":"10.1067/j.cpradiol.2023.12.003","url":null,"abstract":"<div><p>Academic radiology departments have added increasing numbers of entirely remote “work-from-home” or hybrid faculty. This change has presented both an opportunity to recruit and retain faculty as well as a set of challenges to maintaining the full academic mission and educational environment. In this article we describe our experience with creating a remote faculty position and the key elements that we believe made it successful. Guiding principles for the department and faculty member accepting such a position are proposed and discussed.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 185-187"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139023087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable reduction of phone‐call interruptions by 35% in a medical imaging department using an automatic voicemail and custom call redirection system","authors":"Ngwe Rawlings Achangwa ,&nbsp;Nathalie Nierobisch ,&nbsp;Riccardo Ludovichetti ,&nbsp;Giovanna Negrão de Figueiredo ,&nbsp;Michael Kupka ,&nbsp;Anthony De Vere-Tyndall ,&nbsp;Thomas Frauenfelder ,&nbsp;Zsolt Kulcsar ,&nbsp;Nicolin Hainc","doi":"10.1067/j.cpradiol.2024.01.004","DOIUrl":"10.1067/j.cpradiol.2024.01.004","url":null,"abstract":"<div><h3>Background</h3><p><strong>:</strong> Have you ever been in the trenches of a complicated study only to be interrupted by a not-so urgent phone-call? We were, repeatedly– unfortunately.</p></div><div><h3>Purpose</h3><p><strong>:</strong> To increase productivity of radiologists by quantifying the main source of interruptions (phone-calls) to the workflow of radiologists, and too assess the implemented solution.</p></div><div><h3>Materials and methods</h3><p><strong>:</strong> To filter calls to the radiology consultant on duty, we introduced an automatic voicemail and custom call redirection system. Thus, instead of directly speaking with radiology consultants, clinicians were to first categorize their request and dial accordingly: 1. Inpatient requests, 2. Outpatient requests, 3. Directly speak with the consultant radiologist. Inpatient requests (1) and outpatient requests (2) were forwarded to MRI technologists or clerks, respectively. Calls were monitored in 15-minute increments continuously for an entire year (March 2022 until and including March 2023). Subsequently, both the frequency and category of requests were assessed.</p></div><div><h3>Results</h3><p>: 4803 calls were recorded in total: 3122 (65 %) were forwarded to a radiologist on duty. 870 (18.11 %) concerned inpatients, 274 (5.70 %) outpatients, 430 (8.95 %) dialed the wrong number, 107 (2.23 %) made no decision. Throughout the entire year the percentage of successfully avoided interruptions was relatively stable and fluctuated between low to high 30 % range (Mean per month 35 %, Median per month 34.45 %).</p></div><div><h3>Conclusions</h3><p>: This is the first analysis of phone-call interruptions to consultant radiologists in an imaging department for 12 continuous months. More than 35 % of requests did not require the input of a specialist trained radiologist. Hence, installing an automated voicemail and custom call redirection system is a sustainable and simple solution to reduce phone-call interruptions by on average 35 % in radiology departments. This solution was well accepted by referring clinicians. The installation required a one-time investment of only 2h and did not cost any money.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 246-251"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0363018824000033/pdfft?md5=d038485efbf92f3c5e0c1ef5158f8ae9&pid=1-s2.0-S0363018824000033-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139632765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of ChatGPT publications in radiology: Literature so far","authors":"Kaustav Bera MD,&nbsp;Gregory O’Connor MD,&nbsp;Sirui Jiang MD,&nbsp;Sree Harsha Tirumani MD,&nbsp;Nikhil Ramaiya MD","doi":"10.1067/j.cpradiol.2023.10.013","DOIUrl":"10.1067/j.cpradiol.2023.10.013","url":null,"abstract":"<div><h3>Objective</h3><p>To perform a detailed qualitative and quantitative analysis of the published literature on ChatGPT and radiology in the nine months since its public release, detailing the scope of the work in the short timeframe.</p></div><div><h3>Methods</h3><p>A systematic literature search was carried out of the MEDLINE, EMBASE databases through August 15, 2023 for articles that were focused on ChatGPT and imaging/radiology. Articles were classified into original research and reviews/perspectives. Quantitative analysis was carried out by two experienced radiologists using objective scoring systems for evaluating original and non-original research.</p></div><div><h3>Results</h3><p>51 articles were published involving ChatGPT and radiology/imaging dating from 26 Jan 2023 to the last article published on 14 Aug 2023. 23 articles were original research while the rest included reviews/perspectives or brief communications. For quantitative analysis scored by two readers, we included 23 original research and 17 non-original research articles (after excluding 11 letters as responses to previous articles). Mean score for original research was 3.20 out of 5 (across five questions), while mean score for non-original research was 1.17 out of 2 (across six questions). Mean score grading performance of ChatGPT in original research was 3.20 out of five (across two questions).</p></div><div><h3>Discussion</h3><p>While it is early days for ChatGPT and its impact in radiology, there has already been a plethora of articles talking about the multifaceted nature of the tool and how it can impact every aspect of radiology from patient education, pre-authorization, protocol selection, generating differentials, to structuring radiology reports. Most articles show impressive performance of ChatGPT which can only improve with more research and improvements in the tool itself. There have also been several articles which have highlighted the limitations of ChatGPT in its current iteration, which will allow radiologists and researchers to improve these areas.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 215-225"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61567051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing appropriate responses to ACR urologic imaging scenarios using ChatGPT and Bard","authors":"Sishir Doddi ,&nbsp;Taryn Hibshman ,&nbsp;Oscar Salichs ,&nbsp;Kaustav Bera ,&nbsp;Charit Tippareddy ,&nbsp;Nikhil Ramaiya ,&nbsp;Sree Harsha Tirumani","doi":"10.1067/j.cpradiol.2023.10.022","DOIUrl":"10.1067/j.cpradiol.2023.10.022","url":null,"abstract":"<div><p>Artificial intelligence (AI) has recently become a trending tool and topic regarding productivity especially with publicly available free services such as ChatGPT and Bard. In this report, we investigate if two widely available chatbots chatGPT and Bard, are able to show consistent accurate responses for the best imaging modality for urologic clinical situations and if they are in line with American College of Radiology (ACR) Appropriateness Criteria (AC). All clinical scenarios provided by the ACR were inputted into ChatGPT and Bard with result compared to the ACR AC and recorded. Both chatbots had an appropriate imaging modality rate of of 62% and no significant difference in proportion of correct imaging modality was found overall between the two services (p&gt;0.05). The results of our study found that both ChatGPT and Bard are similar in their ability to suggest the most appropriate imaging modality in a variety of urologic scenarios based on ACR AC criteria. Nonetheless, both chatbots lack consistent accuracy and further development is necessary for implementation in clinical settings. For proper use of these AI services in clinical decision making, further developments are needed to improve the workflow of physicians.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 226-229"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61567052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Learning from experience - Radiology ancillary review of prospective research studies involving imaging","authors":"Laura De Leon-Benedetti MD ,&nbsp;Savvas Andronikou MD, PhD ,&nbsp;Suraj Serai PhD ,&nbsp;Tigist Hailu BS ,&nbsp;Monica Miranda Schaeubinger MD, MSPH ,&nbsp;Mohammad Jalloul MD ,&nbsp;John Dell ,&nbsp;Hansel J Otero MD, FAAP","doi":"10.1067/j.cpradiol.2023.10.020","DOIUrl":"10.1067/j.cpradiol.2023.10.020","url":null,"abstract":"<div><p>This report describes the operational process of a big academic children's hospital's Radiology<span><span> Scientific Review Committee, with a focus on its role in integrating radiology services into pediatric </span>clinical research. We define the step-by-step workflow used to assess research proposals involving imaging and share insights from the past three years of data collection. Trends in modalities, radiologist involvement, and interpretation possibilities are outlined in the data. This systematic methodology provides essential resource allocation concepts and promotes high-quality pediatric clinical research.</span></p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 182-184"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61567058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medical student perspectives on radiology subspecialties prior to core clerkship","authors":"Alexis M. Medema MScR ,&nbsp;Stacy M. Goins BA ,&nbsp;Charles M. Maxfield MD ,&nbsp;Lars J. Grimm MD, MHS ,&nbsp;Robert J. French MD ,&nbsp;Jonathan G. Martin MD","doi":"10.1067/j.cpradiol.2023.10.005","DOIUrl":"10.1067/j.cpradiol.2023.10.005","url":null,"abstract":"<div><h3>Rationale and objectives</h3><p>Radiology remains underrepresented in U.S. medical school clinical curricula, and preconceived opinions about the field may impact whether students pursue elective exposure. A core radiology clerkship at one academic institution presents an opportunity to evaluate students’ early preferences for different radiology subspecialties, thus informing curricular design and inspiring student recruitment.</p></div><div><h3>Materials and methods</h3><p>At a single allopathic medical school, a required, four-week, clinical-year radiology clerkship that occurs in the second year includes immersive one-week experiences in two subspecialties. Prior to their clerkship, students rank their immersion preferences by distributing 100 points across eight fields, the values of which were analyzed as a proxy for interest. A secondary survey was distributed to active first- and second-year medical students to further investigate the factors drawing them to radiology.</p></div><div><h3>Results</h3><p><span>Immersive experiences in musculoskeletal, body, and breast imaging were most preferred, earning ≥20 points from 41.6 %, 34.3 %, and 31.9 % of students, respectively. Women were significantly more likely than men to express interest in breast imaging (35.8 % vs. 24.8 %, </span><em>p</em><span> = 0.037) and pediatric radiology (28.8 % vs. 12.8 %, </span><em>p</em> = 0.001). Men were significantly more likely than women to prefer body imaging (41.9 % vs. 30.2 %, <em>p</em><span> = 0.034), neuroradiology (29.1 % vs. 19.5 %, </span><em>p</em><span> = 0.048), and nuclear medicine (11.1 % vs. 5.1 %, </span><em>p</em> = 0.044).</p></div><div><h3>Conclusion</h3><p>Early in their clinical education, medical students prefer certain subspecialties, especially musculoskeletal, body, and breast imaging. Women expressed significantly stronger interest in breast imaging and pediatric radiology, while men indicated significantly stronger interest in body imaging, neuroradiology, and nuclear medicine.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 239-242"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61567059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Don't skip a beat! Critical findings in imaging studies performed in adults with congenital heart disease","authors":"Caroline Robb M.D,&nbsp;M. Zak Rajput M.D,&nbsp;Demetrios Raptis M.D,&nbsp;Sanjeev Bhalla M.D.","doi":"10.1067/j.cpradiol.2024.01.005","DOIUrl":"10.1067/j.cpradiol.2024.01.005","url":null,"abstract":"<div><p><span>With ongoing advances in both medical and surgical management, the population of adults with congenital heart disease<span> (CHD) continues to grow each year and has surpassed the number of pediatric cases. These adult patients will present to adult </span></span>emergency departments<span><span> with increasing frequency. Adults with CHD are at increased risk of developing not only cardiovascular complications, such as aortic dissection<span> and thromboemboli, but also abdominopelvic and neurologic processes at younger ages. These individuals are also more likely to develop less urgent but clinically significant complications including end-organ dysfunction, baffle leaks, or bleeding collateral vessels. Ultimately, imaging can play a critical role in determining the triage, diagnosis, and management of </span></span>adult CHD patients. To accomplish this goal, radiologists must be able to distinguish acute and chronic complications of treated CHD from benign processes, including expected post-surgical changes or imaging artifacts. Radiologists also need to be familiar with the various long-term risks and complications associated with both treated and untreated forms of CHD, particularly those in adults with complex lesions.</span></p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 2","pages":"Pages 297-307"},"PeriodicalIF":1.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139565539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging review of the atypical spinal epidural space pathologies","authors":"Pokhraj Prakashchandra Suthar ,&nbsp;Merve Ozen ,&nbsp;Shelly Bhanot ,&nbsp;Sumeet G. Dua","doi":"10.1067/j.cpradiol.2024.01.029","DOIUrl":"10.1067/j.cpradiol.2024.01.029","url":null,"abstract":"<div><p>Pathologies affecting the spinal epidural space (SES) comprise various abnormalities. However, they all have the potential to cause thecal sac narrowing or spinal cord compression. In this review, we group these pathologies into degenerative, infective, neoplastic, vascular, traumatic, and others, focusing on their imaging features. Degenerative pathologies of the SES range from disc to facet disease, with a particular emphasis on the less common degenerative pathologies in this review. Infective pathologies affecting the epidural space include spondylodiscitis and associated epidural phlegmon and abscess. Neoplasms arising from typical SES components include neurofibroma, hemangioma, and liposarcoma. MRI is the best modality to assess the anatomy and abnormalities of the epidural space. MRI, combined with computed tomography, or a radiograph, is useful for the evaluation of bones or radiopaque foreign bodies.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 4","pages":"Pages 507-516"},"PeriodicalIF":1.4,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139716753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}