Current Problems in Diagnostic Radiology最新文献_第10页

Evaluation of an image-rich quiz-based iOS app as a study resource for the ABR Core exam 评估图像丰富的基于测试的iOS应用程序作为ABR核心考试的学习资源。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2025-01-23 DOI: 10.1067/j.cpradiol.2025.01.003

Erin Gomez MD, Lilly Kauffman BA, Elliot K. Fishman MD, FACR, Sara Raminpour BS

The American Board of Radiology Core exam requires that trainees demonstrate knowledge of critical concepts across 12 domains spanning a range of imaging modalities and anatomic regions. Mobile apps have become popular components of medical and radiology education since the inception of smartphones. Numerous medical educational apps are accessible via smartphone devices and tablets, regardless of operating system, for medical training and learning purposes. For over two decades, CTisus has served as an informational and educational radiology website containing image-rich materials and resources dedicated to the use of body CT. We conducted a study to evaluate the perceived utility of the CTisus iQuiz app as a study resource for the American Board of Radiology Core exam. The overall rating of the app was above average with 50 % of respondents characterizing the app as “Good” and 29 % evaluating the app as “Excellent.” Further, 85 % of survey respondents found the app easy to understand and use, with related pearls deemed helpful by 75 % of participants, the video discussions found to be clear and beneficial by 79 %. Mobile apps are a valuable tool for the current generation of medical trainees, with quizzes shown to be an effective method to evaluate and enhance knowledge. The CTisus iQuiz app may benefit radiology residents studying for the ABR Core exam by providing access to image-rich, multiple choice-based self-assessments with in-depth explanations and feedback in an accessible interface, allowing for asynchronous learning and repeated practice.

美国放射学核心考试要求受训者展示12个领域的关键概念知识，涵盖一系列成像模式和解剖区域。自智能手机出现以来，移动应用程序已成为医学和放射学教育的热门组成部分。许多医学教育应用程序可以通过智能手机设备和平板电脑访问，无论操作系统如何，都可以用于医学培训和学习目的。二十多年来，CTisus一直是一个信息和教育放射学网站，包含丰富的图像材料和资源，致力于使用人体CT。我们进行了一项研究，以评估CTisus iQuiz应用程序作为美国放射学核心考试学习资源的感知效用。该应用的整体评分高于平均水平，50%的受访者认为该应用“好”，29%的受访者认为该应用“优秀”。此外，85%的受访者认为该应用程序易于理解和使用，75%的参与者认为相关珍珠有用，79%的参与者认为视频讨论清晰有益。移动应用程序是当前一代医学实习生的宝贵工具，测验被证明是评估和增强知识的有效方法。CTisus iQuiz应用程序可以为学习ABR核心考试的放射科住院医生提供丰富的图像，基于多项选择的自我评估，并在可访问的界面中提供深入的解释和反馈，允许异步学习和重复练习。

{"title":"Evaluation of an image-rich quiz-based iOS app as a study resource for the ABR Core exam","authors":"Erin Gomez MD, Lilly Kauffman BA, Elliot K. Fishman MD, FACR, Sara Raminpour BS","doi":"10.1067/j.cpradiol.2025.01.003","DOIUrl":"10.1067/j.cpradiol.2025.01.003","url":null,"abstract":"<div><div>The American Board of Radiology Core exam requires that trainees demonstrate knowledge of critical concepts across 12 domains spanning a range of imaging modalities and anatomic regions. Mobile apps have become popular components of medical and radiology education since the inception of smartphones. Numerous medical educational apps are accessible via smartphone devices and tablets, regardless of operating system, for medical training and learning purposes. For over two decades, CTisus has served as an informational and educational radiology website containing image-rich materials and resources dedicated to the use of body CT. We conducted a study to evaluate the perceived utility of the CTisus iQuiz app as a study resource for the American Board of Radiology Core exam. The overall rating of the app was above average with 50 % of respondents characterizing the app as “Good” and 29 % evaluating the app as “Excellent.” Further, 85 % of survey respondents found the app easy to understand and use, with related pearls deemed helpful by 75 % of participants, the video discussions found to be clear and beneficial by 79 %. Mobile apps are a valuable tool for the current generation of medical trainees, with quizzes shown to be an effective method to evaluate and enhance knowledge. The CTisus iQuiz app may benefit radiology residents studying for the ABR Core exam by providing access to image-rich, multiple choice-based self-assessments with in-depth explanations and feedback in an accessible interface, allowing for asynchronous learning and repeated practice.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 3","pages":"Pages 296-307"},"PeriodicalIF":1.5,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048535","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}

引用次数: 0

Responding to daily volume surges in real time in an academic setting: the “Ad Hoc” shift 在学术环境中实时响应每日交易量激增：“临时”轮班。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2025-01-23 DOI: 10.1067/j.cpradiol.2025.01.008

Dana Alkhulaifat , Ethan Larsen , Cassie Solomon , David M. Biko , Sudha A. Anupindi , Hansel Otero

Staffing shortages and increased radiology study volumes have led to higher workloads and increased rates of burnout among pediatric radiologists. These conditions are exacerbated by daily fluctuations in study volumes which can occur due to a plethora of reasons and can often be unpredictable. Current solutions involve increasing staffing numbers and offsetting certain specialized studies to other subspecialties. However, these solutions can be costly and impractical. Therefore, we devised a dynamic, flexible two-hour shift called the Ad Hoc shift in which a designated pediatric radiologist dubbed as the “maestro” assesses the body division workflow in real-time and decides whether to recruit additional radiologists during high study volumes. In this paper, we discuss the protocol of the proposed Ad Hoc shift, along with preliminary results from our institution after a year of implementation. Additionally, we discuss its advantages and address some considerations that may arise during the implementation process.

人员短缺和放射学研究量的增加导致儿科放射科医生的工作量增加和倦怠率增加。这些情况会因学习量的日常波动而加剧，这可能是由于过多的原因造成的，而且往往是不可预测的。目前的解决方案包括增加人员数量和将某些专业研究抵消到其他亚专业。然而，这些解决方案既昂贵又不切实际。因此，我们设计了一种动态的、灵活的两小时轮班，称为“特设轮班”，指定的儿科放射科医生被称为“大师”，实时评估身体划分工作流程，并决定是否在高研究量期间招募额外的放射科医生。在本文中，我们讨论了提议的临时转移的协议，以及我们机构在实施一年后的初步结果。此外，我们还讨论了它的优点，并解决了在实现过程中可能出现的一些注意事项。

{"title":"Responding to daily volume surges in real time in an academic setting: the “Ad Hoc” shift","authors":"Dana Alkhulaifat , Ethan Larsen , Cassie Solomon , David M. Biko , Sudha A. Anupindi , Hansel Otero","doi":"10.1067/j.cpradiol.2025.01.008","DOIUrl":"10.1067/j.cpradiol.2025.01.008","url":null,"abstract":"<div><div>Staffing shortages and increased radiology study volumes have led to higher workloads and increased rates of burnout among pediatric radiologists. These conditions are exacerbated by daily fluctuations in study volumes which can occur due to a plethora of reasons and can often be unpredictable. Current solutions involve increasing staffing numbers and offsetting certain specialized studies to other subspecialties. However, these solutions can be costly and impractical. Therefore, we devised a dynamic, flexible two-hour shift called the <em>Ad Hoc shift</em> in which a designated pediatric radiologist dubbed as the “maestro” assesses the body division workflow in real-time and decides whether to recruit additional radiologists during high study volumes. In this paper, we discuss the protocol of the proposed <em>Ad Hoc shift</em>, along with preliminary results from our institution after a year of implementation. Additionally, we discuss its advantages and address some considerations that may arise during the implementation process.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 5","pages":"Pages 550-553"},"PeriodicalIF":1.5,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076718","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}

引用次数: 0

Implementing a competency based medical education curriculum in diagnostic radiology: Challenges and Pearls of Wisdom 在诊断放射学中实施以能力为基础的医学教育课程：挑战与智慧之珠。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2025-01-23 DOI: 10.1067/j.cpradiol.2025.01.012

Christina Rogoza , Sijyl Fasih , Benjamin Y.M. Kwan

In 2014, The Royal College of Physicians and Surgeons of Canada (RCPSC) began a national initiative to rollout Competency-Based Medical Education (CBME) for all postgraduate medical programs. This represents a paradigm shift in the approach to resident training and transformative changes on many levels.

In 2017, the department of Diagnostic Radiology at Queen's University became an early adopter of the CBME training model. The department began curricular planning using program specific Entrustable Professional Activities (EPAs), milestones based on the CanMeds roles, and an assessment framework. Associated processes were created to support implementation, with formation of a new competence committee, structure and process for academic advisors, and faculty development. In July 2018, the model was implemented using an electronic portfolio system, Elentra. In July 2022, the RCPSC launched the national implementation of their CBME CBD model, which was implemented for the incoming cohorts in the department of Diagnostic Radiology.

Drawing from CBME implementation in the department of Diagnostic Radiology at Queen's University, we highlight the challenges encountered at our institution, methods for addressing these challenges, and corresponding outcomes. From our experience, we aim to provide a roadmap for the reader that will aid in planning for CBME implementation at other institutions.

2014 年，加拿大皇家内科与外科学院（RCPSC）开始在全国范围内推行能力本位医学教育（CBME）。这代表着住院医师培训方式的范式转变和多个层面的变革。2017 年，女王大学放射诊断系成为 CBME 培训模式的早期采用者。该系开始利用具体项目的可委托专业活动（EPA）、基于CanMeds角色的里程碑和评估框架进行课程规划。创建了相关流程以支持实施工作，包括成立新的能力委员会、学术顾问的结构和流程以及教师发展。2018 年 7 月，使用电子作品集系统 Elentra 实施了该模式。2022 年 7 月，RCPSC 在全国范围内启动了 CBME CBD 模式的实施工作，并在放射诊断系的新生中实施。我们借鉴了女王大学放射诊断系实施 CBME 的经验，重点介绍了本机构遇到的挑战、应对这些挑战的方法以及相应的成果。根据我们的经验，我们旨在为读者提供一个路线图，帮助其他机构规划 CBME 的实施。

{"title":"Implementing a competency based medical education curriculum in diagnostic radiology: Challenges and Pearls of Wisdom","authors":"Christina Rogoza , Sijyl Fasih , Benjamin Y.M. Kwan","doi":"10.1067/j.cpradiol.2025.01.012","DOIUrl":"10.1067/j.cpradiol.2025.01.012","url":null,"abstract":"<div><div>In 2014, The Royal College of Physicians and Surgeons of Canada (RCPSC) began a national initiative to rollout Competency-Based Medical Education (CBME) for all postgraduate medical programs. This represents a paradigm shift in the approach to resident training and transformative changes on many levels.</div><div>In 2017, the department of Diagnostic Radiology at Queen's University became an early adopter of the CBME training model. The department began curricular planning using program specific Entrustable Professional Activities (EPAs), milestones based on the CanMeds roles, and an assessment framework. Associated processes were created to support implementation, with formation of a new competence committee, structure and process for academic advisors, and faculty development. In July 2018, the model was implemented using an electronic portfolio system, Elentra. In July 2022, the RCPSC launched the national implementation of their CBME CBD model, which was implemented for the incoming cohorts in the department of Diagnostic Radiology.</div><div>Drawing from CBME implementation in the department of Diagnostic Radiology at Queen's University, we highlight the challenges encountered at our institution, methods for addressing these challenges, and corresponding outcomes. From our experience, we aim to provide a roadmap for the reader that will aid in planning for CBME implementation at other institutions.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 5","pages":"Pages 543-545"},"PeriodicalIF":1.5,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191541","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}

引用次数: 0

Improving communication of unexpected findings: The radiology actional findings tracking (RAFT) program 改善意外发现的沟通：放射学动态发现跟踪（RAFT）计划。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2025-01-23 DOI: 10.1067/j.cpradiol.2025.01.006

Sydney Whalen , Surbhi Trivedi , Josi Herren , Katherine Fuguitt , James T. Bui

Incidental findings are unexpected, actionable discoveries made on diagnostic imaging that have significant patient care and medicolegal implications if not well managed. Despite their importance, few systems exist to manage incidental findings. The Radiology Actionable Findings Tracking (RAFT) Program was developed to improve communication of incidental findings to radiologists, providers, and their patients. The RAFT template is incorporated into the electronic medical record and discloses important information such as: Finding, Acuity, Communication Status, and General Recommendation for follow-up. This data is automatically compiled into a spreadsheet monitored by a clinical coordinator who is responsible for notifying the primary care physician or referring provider. The alert is resolved once appropriate communication is made and the recommended follow-up measures are documented. Between January 2021 and June 2023, the program has tracked the communication of 2,243 incidental findings, for an average of 75 incidental findings each month. Of those total findings, 270 findings (12 %) triggered additional protocols for provider and patient notification with subsequent follow-up. The program is effective in improving communication of incidental findings and can serve as a valuable tool for radiologists, providers, and the patients they serve.

偶然发现是意外的，可操作的发现作出诊断成像，具有重要的病人护理和医学意义，如果管理不善。尽管它们很重要，但很少有系统能够管理偶然发现。制定了放射学可操作发现跟踪（RAFT）计划，以改善与放射科医生，提供者及其患者的偶然发现的沟通。RAFT模板被整合到电子病历中，并公开重要信息，如：发现、急性、沟通状态和一般后续建议。这些数据被自动编译成电子表格，由负责通知初级保健医生或转诊提供者的临床协调员监控。一旦进行了适当的沟通并记录了建议的后续措施，警报就会得到解决。在2021年1月至2023年6月期间，该计划追踪了2243个偶然发现的通信，平均每月有75个偶然发现。在所有这些发现中，270个发现（12%）触发了后续随访中提供者和患者通知的附加协议。该项目有效地改善了意外发现的沟通，可以作为放射科医生、提供者和他们所服务的患者的宝贵工具。

{"title":"Improving communication of unexpected findings: The radiology actional findings tracking (RAFT) program","authors":"Sydney Whalen , Surbhi Trivedi , Josi Herren , Katherine Fuguitt , James T. Bui","doi":"10.1067/j.cpradiol.2025.01.006","DOIUrl":"10.1067/j.cpradiol.2025.01.006","url":null,"abstract":"<div><div>Incidental findings are unexpected, actionable discoveries made on diagnostic imaging that have significant patient care and medicolegal implications if not well managed. Despite their importance, few systems exist to manage incidental findings. The Radiology Actionable Findings Tracking (RAFT) Program was developed to improve communication of incidental findings to radiologists, providers, and their patients. The RAFT template is incorporated into the electronic medical record and discloses important information such as: Finding, Acuity, Communication Status, and General Recommendation for follow-up. This data is automatically compiled into a spreadsheet monitored by a clinical coordinator who is responsible for notifying the primary care physician or referring provider. The alert is resolved once appropriate communication is made and the recommended follow-up measures are documented. Between January 2021 and June 2023, the program has tracked the communication of 2,243 incidental findings, for an average of 75 incidental findings each month. Of those total findings, 270 findings (12 %) triggered additional protocols for provider and patient notification with subsequent follow-up. The program is effective in improving communication of incidental findings and can serve as a valuable tool for radiologists, providers, and the patients they serve.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 4","pages":"Pages 418-421"},"PeriodicalIF":1.5,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143506616","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}

引用次数: 0

Mismatch in productivity calculated from wRVU metric and the actual number of images in musculoskeletal radiographic studies 根据wRVU度量计算的生产力与肌肉骨骼放射学研究中实际图像数量的不匹配。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2025-01-14 DOI: 10.1067/j.cpradiol.2025.01.001

Oganes Ashikyan MD , Alex Zhu BS , Travis Browning MD , Cecilia Brewington MD , Avneesh Chhabra MD

The work relative value unit (wRVU) measures the physician's work involved in performing a service and is commonly used to quantify physician productivity. A critical component factored in wRVUs is the time required to perform a service. In musculoskeletal radiology, this time correlates directly with the number of images produced per radiograph. The purpose of this project was to evaluate whether the actual number of acquired images matches the number of views indicated in musculoskeletal radiographs CPT code descriptions.

A query of our internal database returned 76,204 musculoskeletal radiograph reports. 440 random radiographs were reviewed to evaluate variability in the number of images obtained. This sample consisted of ten studies from each of the forty-four musculoskeletal codes. We recorded the number of actual images obtained. 242 studies from the safety net health care system and 198 studies from the university associated hospitals and clinics were evaluated.

Seventy-five studies (31 %) were found to have mismatched number of images among the 242 studies from the safety net health care system. Sixty-six studies (33 %) were found to have mismatched number of images among the 198 studies sample from university associated tertiary care system. There was significant difference between the extra images obtained at two different health care systems (p < 0.001). There were more studies with extra images in the safety net system compared to the university hospital.

The commonly used wRVU metric has broad variability in the assessment of work productivity for musculoskeletal radiographs given the variance in the number of images obtained.

工作相对价值单位（wRVU）衡量医生在执行服务中所做的工作，通常用于量化医生的生产力。wrvu中的一个关键因素是执行服务所需的时间。在肌肉骨骼放射学中，这个时间与每张x光片产生的图像数量直接相关。这个项目的目的是评估实际获得的图像数量是否与肌肉骨骼x光片CPT代码描述中显示的视图数量相匹配。对我们内部数据库的查询返回了76,204份肌肉骨骼x光片报告。对440张随机x线片进行审查，以评估所获得图像数量的可变性。该样本由44种肌肉骨骼编码中的每一种的10项研究组成。我们记录了获得的实际图像的数量。本研究评估了来自安全网医疗保健系统的242项研究和来自大学附属医院和诊所的198项研究。在来自安全网卫生保健系统的242项研究中，发现75项研究（31%）的图像数量不匹配。在大学三级医疗系统的198个研究样本中，有66个研究（33%）发现图像数量不匹配。在两个不同的卫生保健系统中获得的额外图像之间存在显著差异（p < 0.001）。与大学医院相比，在安全网系统中有更多额外图像的研究。考虑到所获得的图像数量的差异，通常使用的wRVU度量在评估肌肉骨骼x线片的工作效率方面具有广泛的可变性。

{"title":"Mismatch in productivity calculated from wRVU metric and the actual number of images in musculoskeletal radiographic studies","authors":"Oganes Ashikyan MD , Alex Zhu BS , Travis Browning MD , Cecilia Brewington MD , Avneesh Chhabra MD","doi":"10.1067/j.cpradiol.2025.01.001","DOIUrl":"10.1067/j.cpradiol.2025.01.001","url":null,"abstract":"<div><div><span>The work relative value unit (wRVU) measures the physician's work involved in performing a service and is commonly used to quantify physician productivity. A critical component factored in wRVUs is the time required to perform a service. In </span>musculoskeletal radiology<span>, this time correlates directly with the number of images produced per radiograph. The purpose of this project was to evaluate whether the actual number of acquired images matches the number of views indicated in musculoskeletal radiographs CPT code descriptions.</span></div><div>A query of our internal database returned 76,204 musculoskeletal radiograph reports. 440 random radiographs were reviewed to evaluate variability in the number of images obtained. This sample consisted of ten studies from each of the forty-four musculoskeletal codes. We recorded the number of actual images obtained. 242 studies from the safety net health care system and 198 studies from the university associated hospitals and clinics were evaluated.</div><div><span>Seventy-five studies (31 %) were found to have mismatched number of images among the 242 studies from the safety net health care system. Sixty-six studies (33 %) were found to have mismatched number of images among the 198 studies sample from university associated tertiary care system. There was significant difference between the extra images obtained at two different health care systems (</span><em>p</em> < 0.001). There were more studies with extra images in the safety net system compared to the university hospital.</div><div>The commonly used wRVU metric has broad variability in the assessment of work productivity for musculoskeletal radiographs given the variance in the number of images obtained.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 229-233"},"PeriodicalIF":1.5,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143018438","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}

引用次数: 0

Assessing asymmetric enhancement on breast MRI: Besting the diagnostic challenge with imaging and clinical clues 评估乳腺磁共振成像的非对称性增强：利用成像和临床线索应对诊断挑战。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2025-01-02 DOI: 10.1067/j.cpradiol.2024.12.011

Stephane Chartier D.O. , Jennifer Kramer M.D. , Sheryl Jordan M.D. , Alan Chiang M.D., Ph.D.

Breast magnetic resonance imaging (MRI) has the highest sensitivity for breast cancer detection compared to other breast imaging modalities such as mammography and ultrasound. As a functional modality, it captures the increased angiogenic activity of breast cancer through gadolinium-based contrast enhancement. Normal breast tissue also enhances, albeit in distinct patterns termed background parenchymal enhancement (BPE). Asymmetric enhancement, i.e., when one breast enhances more prominently than the other, can pose a diagnostic challenge for interpreting radiologists as distinguishing suspicious nonmass enhancement (NME) versus benign asymmetric BPE can be difficult. Correlating with patient history and imaging findings can help differentiate benign versus suspicious patterns of asymmetric enhancement. We present a collection of cases illustrating clues helpful for assessing asymmetric enhancement encountered on breast MRI.

与乳房x光摄影和超声波等其他乳房成像方式相比，乳房磁共振成像（MRI）对乳腺癌的检测灵敏度最高。作为一种功能模式，它通过基于钆的对比增强来捕捉乳腺癌血管生成活性的增加。正常乳腺组织也会增强，尽管是不同的背景实质增强（BPE）。不对称增强，即当一个乳房比另一个乳房更明显时，可能会给放射科医生的诊断带来挑战，因为区分可疑的非肿块增强（NME）和良性的不对称BPE可能很困难。与患者病史和影像学表现相关联有助于区分良性与可疑的不对称增强。我们提出了一组病例，说明了有助于评估乳房MRI上遇到的不对称增强的线索。

引用次数: 0

Creation of nomograms that combine clinical, CT, and radiographic features to separate benign from malignant diseases using spiculation or (and) lobulation signs 创建结合临床、CT和x线影像特征的形态图，利用毛刺或（和）分叶征象区分良恶性疾病。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2024-12-31 DOI: 10.1067/j.cpradiol.2024.12.014

Ruoxuan Wang , Tianjie Qi

Background

Distinguishing between benign and malignant pulmonary nodules based on CT imaging features such as the spiculation sign and/or lobulation sign remains challenging and these nodules are often misinterpreted as malignant tumors. this retrospective study aimed to develop a prediction model to estimate the likelihood of benign and malignant lung nodules exhibiting spiculation and/or lobulation signs.

Methods

A total of 500 patients with pulmonary nodules from June 2022 to August 2024 were retrospectively analyzed. Among them, 190 patients with spiculation sign and lobar sign or both on CT scan were included in this study. This investigation collected the clinical information, preoperative chest CT imaging characteristics, and postoperative histopathologic results from patients.Univariate and multivariate logistic regression analyses were employed to identify independent risk factors, from which a prediction model and nomogram were developed. In addition, The model performance was assessed through receiver operating characteristic(ROC) curve analysis, calibration curve analysis, and decision curve analysis (DCA).

Results

In our study, 190 patients with pulmonary nodules underwent lung biopsy in 10 patients and surgical resection in 180 patients, of whom 53 were benign nodules and 137 were malignant nodules. When combined with the spiculation sign or (and) the lobulation sign, the vascular cluster sign, bronchial architectural distortion, bubble-like translucent area, nodule density, and CEA were found to be significant independent predictors for determining the benignity and malignancy of pulmonary nodules. The nomogram prediction model demonstrated high predictive accuracy with an area under the ROC curve (AUC) of 0.904. Furthermore, the model's calibration curve demonstrated adequate calibration. DCA confirmed the prediction model's validity.

Conclusion

The model can assist clinicians in making more accurate preoperative diagnoses and in guiding clinical decision-making regarding treatment, potentially reducing unnecessary surgical interventions.

背景：基于CT影像特征（如针状征和/或分叶征）来区分肺结节的良恶性仍然具有挑战性，这些结节经常被误解为恶性肿瘤。本回顾性研究旨在建立一个预测模型，以估计良性和恶性肺结节表现出毛刺和/或分叶征象的可能性。方法：回顾性分析2022年6月至2024年8月收治的500例肺结节患者。其中190例CT表现为结节征和大叶征或两者兼有纳入本研究。本研究收集了患者的临床资料、术前胸部CT影像特征和术后组织病理学结果。采用单因素和多因素logistic回归分析确定独立危险因素，建立预测模型和拟合图。此外，通过受试者工作特征（ROC）曲线分析、校准曲线分析和决策曲线分析（DCA）评估模型的性能。结果：在我们的研究中，190例肺结节患者中，10例行肺活检，180例行手术切除，其中良性结节53例，恶性结节137例。当与细泡征象或分叶征象结合时，血管丛征象、支气管结构扭曲、泡状半透明面积、结节密度和CEA是判断肺结节良恶性的重要独立预测因子。nomogram预测模型具有较高的预测精度，ROC曲线下面积（AUC）为0.904。此外，模型的校准曲线显示出足够的校准。DCA验证了预测模型的有效性。结论：该模型可以帮助临床医生做出更准确的术前诊断，指导临床治疗决策，减少不必要的手术干预。

{"title":"Creation of nomograms that combine clinical, CT, and radiographic features to separate benign from malignant diseases using spiculation or (and) lobulation signs","authors":"Ruoxuan Wang , Tianjie Qi","doi":"10.1067/j.cpradiol.2024.12.014","DOIUrl":"10.1067/j.cpradiol.2024.12.014","url":null,"abstract":"<div><h3>Background</h3><div>Distinguishing between benign and malignant pulmonary nodules based on CT imaging features such as the spiculation sign and/or lobulation sign remains challenging and these nodules are often misinterpreted as malignant tumors. this retrospective study aimed to develop a prediction model to estimate the likelihood of benign and malignant lung nodules exhibiting spiculation and/or lobulation signs.</div></div><div><h3>Methods</h3><div>A total of 500 patients with pulmonary nodules from June 2022 to August 2024 were retrospectively analyzed. Among them, 190 patients with spiculation sign and lobar sign or both on CT scan were included in this study. This investigation collected the clinical information, preoperative chest CT imaging characteristics, and postoperative histopathologic results from patients.Univariate and multivariate logistic regression analyses were employed to identify independent risk factors, from which a prediction model and nomogram were developed. In addition, The model performance was assessed through receiver operating characteristic(ROC) curve analysis, calibration curve analysis, and decision curve analysis (DCA).</div></div><div><h3>Results</h3><div>In our study, 190 patients with pulmonary nodules underwent lung biopsy in 10 patients and surgical resection in 180 patients, of whom 53 were benign nodules and 137 were malignant nodules. When combined with the spiculation sign or (and) the lobulation sign, the vascular cluster sign, bronchial architectural distortion, bubble-like translucent area, nodule density, and CEA were found to be significant independent predictors for determining the benignity and malignancy of pulmonary nodules. The nomogram prediction model demonstrated high predictive accuracy with an area under the ROC curve (AUC) of 0.904. Furthermore, the model's calibration curve demonstrated adequate calibration. DCA confirmed the prediction model's validity.</div></div><div><h3>Conclusion</h3><div>The model can assist clinicians in making more accurate preoperative diagnoses and in guiding clinical decision-making regarding treatment, potentially reducing unnecessary surgical interventions.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 4","pages":"Pages 443-448"},"PeriodicalIF":1.5,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026223","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}

引用次数: 0

Corrigendum to “Original Article: The history of Women in Radiology (WIR) programs at two academic institutions: How we did it and how we merged best practices” [Current Problems in Diagnostic Radiology 54 (2025) 35-39] “原文：两个学术机构的女性放射学（WIR）项目的历史：我们如何做到这一点以及我们如何合并最佳实践”的更正[诊断放射学中的当前问题54(2025)35-39]。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2024-12-28 DOI: 10.1067/j.cpradiol.2024.12.013

Stacy E. Smith , Dania Daye , Carmen Alvarez , Kirti A. Magudia , Catherine H. Phillips , Sandra Rincon , Miriam A. Bredella , Teresa Victoria

引用次数: 0

The “pseudo-pulmonary AVM sign”: an aid to the diagnosis of histoplasmosis and differentiation from pulmonary arteriovenous malformations 假性肺动静脉畸形征"：辅助诊断组织胞浆菌病并与肺动静脉畸形相鉴别。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2024-12-14 DOI: 10.1067/j.cpradiol.2024.12.003

Marlee Mason-Maready MD , Kiran Nandalur MD , Said Khayyata MD , Sayf Al-Katib MD

The diagnostic algorithm for histoplasmosis highlights the importance of imaging and emphasizes the role of the radiologist in the diagnostic workup. Here we describe a case series of patients with a novel sign of lung involvement in histoplasmosis which we have coined the Pseudo-Pulmonary Arteriovenous Malformation (PAVM) sign, the usage of which would help in the imaging diagnosis of histoplasmosis aid by distinguishing it from PAVMs. PAVMs carry risk for serious complications such as systemic emboli and may require treatment; whereas, histoplasmomas do not. Differentiation of histoplasmosis from other diagnoses can be made with laboratory studies, but may require bronchoscopy, biopsy, or both. Meanwhile, PAVMs should not be biopsied due to risk of bleeding. For these reasons, distinguishing PAVMs and histoplasmosis radiologically therefore greatly impacts clinical management, and it is important for radiologists to be aware of this appearance of histoplasmosis to avoid misinterpretation as PAVM and effectively inform clinical care.

组织胞浆菌病的诊断算法强调了成像的重要性，并强调了放射科医生在诊断工作中的作用。在这里，我们描述了一个病例系列患者的肺组织浆菌病的新征象，我们已经创造了假性肺动静脉畸形（PAVM）征象，它的使用将有助于组织浆菌病的影像学诊断，通过区分它与PAVM。pavm有发生系统性栓塞等严重并发症的风险，可能需要治疗；而组织浆细胞瘤则不然。组织胞浆菌病与其他诊断的鉴别可以通过实验室检查进行，但可能需要支气管镜检查、活检或两者兼而有之。同时，由于出血的风险，不应该对pavm进行活检。因此，从影像学上区分PAVM和组织浆菌病对临床管理有很大影响，放射科医生必须意识到组织浆菌病的这种表现，以避免被误解为PAVM，并有效地告知临床护理。

{"title":"The “pseudo-pulmonary AVM sign”: an aid to the diagnosis of histoplasmosis and differentiation from pulmonary arteriovenous malformations","authors":"Marlee Mason-Maready MD , Kiran Nandalur MD , Said Khayyata MD , Sayf Al-Katib MD","doi":"10.1067/j.cpradiol.2024.12.003","DOIUrl":"10.1067/j.cpradiol.2024.12.003","url":null,"abstract":"<div><div>The diagnostic algorithm for histoplasmosis highlights the importance of imaging and emphasizes the role of the radiologist in the diagnostic workup. Here we describe a case series of patients with a novel sign of lung involvement in histoplasmosis which we have coined the Pseudo-Pulmonary Arteriovenous Malformation (PAVM) sign, the usage of which would help in the imaging diagnosis of histoplasmosis aid by distinguishing it from PAVMs. PAVMs carry risk for serious complications such as systemic emboli and may require treatment; whereas, histoplasmomas do not. Differentiation of histoplasmosis from other diagnoses can be made with laboratory studies, but may require bronchoscopy, biopsy, or both. Meanwhile, PAVMs should not be biopsied due to risk of bleeding. For these reasons, distinguishing PAVMs and histoplasmosis radiologically therefore greatly impacts clinical management, and it is important for radiologists to be aware of this appearance of histoplasmosis to avoid misinterpretation as PAVM and effectively inform clinical care.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 4","pages":"Pages 455-459"},"PeriodicalIF":1.5,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831498","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}

引用次数: 0

How I Do It: Leveraging AutoHotkey and programmable peripheral devices for high efficiency diagnostic radiology 如何做：利用自动热键和可编程外围设备进行高效率的放射诊断。

IF 1.5 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Problems in Diagnostic Radiology

Pub Date : 2024-12-11 DOI: 10.1067/j.cpradiol.2024.12.012

Ryan P. Joyce MD

This paper discusses the use of AutoHotkey (AHK) and programmable peripheral computing devices to enhance the workflow of diagnostic radiologists. Multiple features designed and coded by an emergency teleradiologist to optimize efficiency and complete redundant tasks with ease are presented. The full AutoHotkey script, which currently supports Visage PACS, PowerScribe 360, and Epic EHR, is available in the article appendix. Recommended peripheral devices and schematics for easy integration with the AutoHotkey script are provided. Downloadable peripheral device profiles for the recommended devices are available in the appendix. The combination of task automation, achieved with AutoHotkey, and the thoughtful configuration of programmable peripheral devices, providing easy access to task automations, can lead to improved ergonomics, increased efficiency, productivity, and job satisfaction.

本文讨论了使用自动热键（AHK）和可编程外围计算设备来提高诊断放射科医生的工作流程。提出了由急诊远程放射专家设计和编码的多种功能，以优化效率并轻松完成冗余任务。完整的AutoHotkey脚本，目前支持Visage PACS， PowerScribe 360和Epic EHR，可在文章附录中获得。提供了易于与AutoHotkey脚本集成的推荐外围设备和原理图。推荐设备的外围设备配置文件可在附录中下载。通过AutoHotkey实现的任务自动化与可编程外围设备的精心配置相结合，可以轻松访问任务自动化，从而改善人体工程学，提高效率，生产力和工作满意度。

引用次数: 0