Current Problems in Diagnostic Radiology最新文献

{"title":"Peer review protection: Pish-Posh or pivotal policy?","authors":"Mohammed Al Tarhuni MD ,&nbsp;Richard Duszak MD ,&nbsp;Robert Optican MD, MSHA","doi":"10.1067/j.cpradiol.2024.10.002","DOIUrl":"10.1067/j.cpradiol.2024.10.002","url":null,"abstract":"<div><div>The Healthcare Quality Improvement Act (HCQIA) of 1986 is a pivotal federal mandate designed to enhance medical care quality through effective professional peer review. Importantly, it offers legal immunity to reviewers under specified conditions and mandates the reporting of adverse actions to the National Practitioner Data Bank (NPDB). This article explores the implementation of peer review processes in hospitals and the potentially severe ramifications of failure to report, using the scenario of a diagnostic radiologist performing high-end vascular interventional procedures, whose performance came under scrutiny, highlighting the intersection of federal and state laws, accreditation standards, hospital policies, and physician professionalism standards and reporting duties.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 2","pages":"Pages 176-178"},"PeriodicalIF":1.5,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396233","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":"Frequency and impact of incorrect data when assessing MR safety for patients with active implants","authors":"Samuel J. Fahrenholtz PhD,&nbsp;Yuxiang Zhou PhD,&nbsp;William F. Sensakovic PhD","doi":"10.1067/j.cpradiol.2024.10.010","DOIUrl":"10.1067/j.cpradiol.2024.10.010","url":null,"abstract":"<div><h3>Problem</h3><div>An active implant is a medical device that includes a power source and provides diverse therapies to patients. Active implants are a source of risk to patients undergoing magnetic resonance (MR) imaging. Institutions develop workflows to ensure devices are assessed for MR safety and scanned using acceptable acquisition parameters. Low data integrity can result in incorrect assessments and increased patient risk.</div></div><div><h3>Approach and Intervention</h3><div>The rate of data integrity issues and their causes were not known at our institution. Between March 2020 and April 2023, a survey was distributed for each MR implant case recording the information used to assess MR safety of the implanted device. The leading cause of data integrity loss was incorrect vendor manual for the implant. A list of links to implant vendor manual repositories was added to our workflow in December of 2021 with instructions to always find the most recent version of the device manual.</div></div><div><h3>Outcomes</h3><div>749 patient records were reviewed by MR safety experts. Data integrity issues, i.e., a lack of complete and/or correct patient and implant information, occurred in 16% of cases and could impact MR safety (assessment or scanning) in 47% of those cases. A missing or incorrect manual was the leading cause of data integrity loss (78%). The incorrect manual problem initially worsened between October 2021 and March 2022 due to increased surveillance leading to more incorrect manuals being detected. The rate improved by August 2022 and remained high through March of 2023. Reducing the difficulty of finding implant vendor manuals by providing a list of links to vendor manual repositories along with guidance to pull the most recent manual version is an effective strategy to improve data integrity in MR safety workflows.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 2","pages":"Pages 132-136"},"PeriodicalIF":1.5,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396232","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":"Continued improvement to imaging diagnosis and treatment triage of endometriosis: The role of the multi-disciplinary conference","authors":"Nikita Consul M.D. ,&nbsp;Hilary R. Haber M.D. ,&nbsp;Peter R. Movilla M.D. ,&nbsp;Mukesh G. Harisinghani M.D. ,&nbsp;Avinash Kambadakone M.D. ,&nbsp;Aoife Kilcoyne M.B.B.Ch., B.A.O. ,&nbsp;Anuradha S. Shenoy-Bhangle M.D.","doi":"10.1067/j.cpradiol.2024.08.001","DOIUrl":"10.1067/j.cpradiol.2024.08.001","url":null,"abstract":"<div><p>Patient-centered endometriosis management tailored to the individual patient's subset of symptoms often requires highly sensitive and specific preoperative imaging. In the setting of a present ongoing learning curve among radiologists who interpret pelvis ultrasounds and MRIs for diagnosis of endometriosis, we have found that routine feedback between minimally invasive gynecology surgeons and radiologists, based on pre-operative imaging and postoperative laparoscopic findings, is essential for the continual improvement of imaging-based staging of endometriosis and empower pre-operative imaging as an important pillar of endometriosis management. We share illustrative patient cases, which, after collaborative discussion during our routine multi-institutional, multi-disciplinary conferences (MDCs) have led to improved patient counseling, better pre-surgical planning, and therefore improved patient satisfaction. Our endometriosis MDCs will continue to improve patient management in the future by providing a forum for trainees in medical, surgical, imaging, and pathology specialties to gain expertise directly from subspecialists, and participate in the care of these patients.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 6","pages":"Pages 663-669"},"PeriodicalIF":1.5,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0363018824001476/pdfft?md5=d54c2c32669c951bb2004a64c3b03885&pid=1-s2.0-S0363018824001476-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142094317","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":"Enhancing radiology training with GPT-4: Pilot analysis of automated feedback in trainee preliminary reports","authors":"Wasif Bala MD,&nbsp;Hanzhou Li MD,&nbsp;John Moon MD,&nbsp;Hari Trivedi MD,&nbsp;Judy Gichoya MD, MS,&nbsp;Patricia Balthazar MD, CIIP","doi":"10.1067/j.cpradiol.2024.08.003","DOIUrl":"10.1067/j.cpradiol.2024.08.003","url":null,"abstract":"<div><h3>Rationale and objectives</h3><div>Radiology residents often receive limited feedback on preliminary reports issued during independent call. This study aimed to determine if Large Language Models (LLMs) can supplement traditional feedback by identifying missed diagnoses in radiology residents’ preliminary reports.</div></div><div><h3>Materials &amp; methods</h3><div>A randomly selected subset of 500 (250 train/250 validation) paired preliminary and final reports between 12/17/2022 and 5/22/2023 were extracted and de-identified from our institutional database. The prompts and report text were input into the GPT-4 language model via the GPT-4 API (gpt-4-0314 model version). Iterative prompt tuning was used on a subset of the training/validation sets to direct the model to identify important findings in the final report that were absent in preliminary reports. For testing, a subset of 10 reports with confirmed diagnostic errors were randomly selected. Fourteen residents with on-call experience assessed the LLM-generated discrepancies and completed a survey on their experience using a 5-point Likert scale.</div></div><div><h3>Results</h3><div>The model identified 24 unique missed diagnoses across 10 test reports with i% model prediction accuracy as rated by 14 residents. Five additional diagnoses were identified by users, resulting in a model sensitivity of 79.2 %. Post-evaluation surveys showed a mean satisfaction rating of 3.50 and perceived accuracy rating of 3.64 out of 5 for LLM-generated feedback. Most respondents (71.4 %) favored a combination of LLM-generated and traditional feedback.</div></div><div><h3>Conclusion</h3><div>This pilot study on the use of LLM-generated feedback for radiology resident preliminary reports demonstrated notable accuracy in identifying missed diagnoses and was positively received, highlighting LLMs' potential role in supplementing conventional feedback methods.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 2","pages":"Pages 151-158"},"PeriodicalIF":1.5,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142047682","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":"Instagram reels versus image posts in radiology education","authors":"Lilly Kauffman BA ,&nbsp;Felipe Lopez-Ramirez MD ,&nbsp;Edmund M. Weisberg MS, MBE ,&nbsp;Elliot K. Fishman MD","doi":"10.1067/j.cpradiol.2024.08.005","DOIUrl":"10.1067/j.cpradiol.2024.08.005","url":null,"abstract":"<div><h3>Objective</h3><div>In January 2016, we created an Instagram page for radiology education. Numerous publications in different fields have reported that Instagram “reels,” introduced in 2020 as a short-form video feature, are more popular than image posts. These findings and our familiarity with Instagram prompted us to analyze our own data to better understand how image posts compared with reels when used in the context of radiology education.</div></div><div><h3>Materials and methods</h3><div>For each post category, metric values were extracted from the Instagram platform and analyzed as continuous variables, reported as medians with interquartile ranges (IQR). Metrics were compared between image categories using the Kruskal–Wallis test, with resulting <em>p</em>-values adjusted for multiple comparisons using the Bonferroni correction. Corrected <em>p</em>-values of less than 0.05 were considered statistically significant.</div></div><div><h3>Results</h3><div>We included 128 images and 96 reels in the analysis. Images generally reached a larger audience, with a median of 18,745 [IQR: 13,478–27,243] impressions vs. 11,972 [IQR: 9,310.0–13,844.5] for reels (<em>p</em> &lt; 0.01). Images also tended to be shared more frequently (median 19 vs. 20, <em>p &lt;</em> 0.01), liked more often (median 480 vs. 296, <em>p &lt;</em> 0.01), and saved more by users (median 138 vs. 84, <em>p &lt;</em> 0.01) than reels, respectively. Both images and reels received a similar number of comments, with a median of 3 comments for both (<em>p</em> &gt; 0.99). We also explored the performance differences of image post subcategories. Within images, our “You Make the Call!” (YMTC) questions (<em>n</em> = 23) displayed higher performance metrics across the board than the three other types of image posts combined (<em>n =</em> 105). When compared, the median number of impressions for YMTC images was 36,735 [IQR: 31,343–40,742] vs. 15,992 [IQR:12,774–21,873] for other types of images (<em>p &lt;</em> 0.01). YMTC images were shared more often (median 25 vs. 17, <em>p &lt;</em> 0.01), received more likes (median 809 vs. 445, <em>p</em> &lt; 0.01) and saves (median 206 vs. 119, <em>p &lt;</em> 0.01) than non-YMTC images, respectively. User engagement showed slightly different trends with YMTC reels being the most liked, while quiz reels receiving the most comments and talking clips being the most saved.</div></div><div><h3>Conclusion</h3><div>Our findings on the use of Instagram in radiology education suggest that static images perform much better than reels. Consequently, we recommend to radiology educators seeking to establish an Instagram presence that using static image posts is an appropriate approach for reaching a radiology audience, particularly with image posts that engage an audience with participatory opportunities such as answering quiz-like questions aimed at making a diagnosis.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 2","pages":"Pages 170-175"},"PeriodicalIF":1.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141989803","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":"Success factors for interventions to reduce low-value imaging. Six crucial lessons learned from a practical case study in Norway","authors":"Bjørn Hofmann ,&nbsp;Eivind Richter Andersen ,&nbsp;Ingrid Øfsti Brandsæter ,&nbsp;Fiona Clement ,&nbsp;Adam G Elshaug ,&nbsp;Stirling Bryan ,&nbsp;Aslak Aslaksen ,&nbsp;Stefán Hjørleifsson ,&nbsp;Peter Mæhre Lauritzen ,&nbsp;Bente Kristin Johansen ,&nbsp;Gregor Jarosch von Schweder ,&nbsp;Fredrik Nomme ,&nbsp;Elin Kjelle","doi":"10.1067/j.cpradiol.2024.08.007","DOIUrl":"10.1067/j.cpradiol.2024.08.007","url":null,"abstract":"<div><h3>Background</h3><p>Substantial overuse of health care services is identified and intensified efforts are incited to reduce low-value services in general and in imaging in particular.</p></div><div><h3>Objective</h3><p>To report crucial success factors for developing and implementing interventions to reduce specific low-value imaging examinations based on a case study in Norway.</p></div><div><h3>Materials and methods</h3><p>Mixed methods design including one systematic review, one scoping review, implementation science, qualitative interviews, content analysis of stakeholders’ input, and stakeholder deliberations.</p></div><div><h3>Results</h3><p>The description and analysis of an intervention to reduce low-value imaging in Norway identifies six general success factors: 1) Acknowledging complexity: advanced knowledge synthesis, competence of the context, and broad and strong stakeholder involvement is crucial to manage de-implementation complexity. 2) Clear consensus-based criteria for selecting low-value imaging procedures are key. 3) Having a clear target group is critical. 4) Stakeholder engagement is essential to ascertain intervention relevance and compliance. 5) Active and well-motivated intervention collaborators is imperative. 6) Paying close attention to the mechanisms of low-value imaging and the barriers to reduce it is decisive.</p></div><div><h3>Conclusion</h3><p>Reducing low-value imaging is crucial to increase the quality, safety, efficiency, and sustainability of the health services. Reducing low-value imaging is a complex task and paying attention to specific practical success factors is key.</p></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"53 6","pages":"Pages 670-676"},"PeriodicalIF":1.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0363018824001506/pdfft?md5=24695daa3769c950350f51afefd9e91b&pid=1-s2.0-S0363018824001506-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142010160","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":"Qualitative interviews for hospitalists addressing lung cancer screening","authors":"Brett C. Bade ,&nbsp;Alex Makhnevich ,&nbsp;Katherine L. Dauber-Decker ,&nbsp;Jeffrey Solomon ,&nbsp;Elizabeth Cohn ,&nbsp;Jesse Chusid ,&nbsp;Suhail Raoof ,&nbsp;Gerard Silvestri ,&nbsp;Stuart L. Cohen","doi":"10.1067/j.cpradiol.2024.08.011","DOIUrl":"10.1067/j.cpradiol.2024.08.011","url":null,"abstract":"<div><div>Novel strategies are needed to improve low rates of lung cancer screening (LCS) in the US. Seeking to determine hospitalists’ perspectives on leveraging hospitalizations to identify patients eligible for LCS, we performed qualitative interviews with eight hospitalists from two hospitals within a large integrated healthcare system. The interviews used semi-structured questions to assess (1) knowledge and practice of general screening and LCS guidelines from the United States Preventive Services Task Force (USPSTF), (2) identification of smoking history, and (3) hospitalists’ views on how data obtained during hospitalization may be utilized to improve general screening and LCS post hospitalization. We ultimately reached the conclusion that hospitalists would support a dedicated program to identify hospitalized patients eligible for LCS and facilitate testing after discharge. Efforts to identify patients and arrange subsequent screening should be performed by team members outside the inpatient team.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 4","pages":"Pages 465-469"},"PeriodicalIF":1.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142010159","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":"Multidetector computed tomography imaging planning for bronchoscopy stent and valve placement in the treatment of COPD, air leaks, and airway stenosis","authors":"Miriana Mariussi MD ,&nbsp;Paula Terra Amaral MD ,&nbsp;Eduardo Kaiser Ururahy Nunes Fonseca MD, PhD ,&nbsp;Gustavo Teles MD ,&nbsp;Priscila Mina Falsarella MD, PhD ,&nbsp;Rodrigo Caruso MD ,&nbsp;Marcia Jacomelli MD, PhD ,&nbsp;Rodrigo Gobbo Garcia MD, PhD","doi":"10.1067/j.cpradiol.2024.08.008","DOIUrl":"10.1067/j.cpradiol.2024.08.008","url":null,"abstract":"<div><div>Bronchoscopy using a flexible bronchoscope is considered a safe procedure and has been used for diagnosing and treating airway and parenchymal lung diseases. Bronchoscopic interventions in selected patients with emphysema, airway stenosis, and air leaks provide new treatment options. The application of multidetector computed tomography (MDCT) planning prior to bronchoscopy is comprehensively addressed. Using MDCT scan for pre-procedural planning, ensures precise navigation and device placement during bronchoscopy, ultimately improving patient outcomes. Radiological features can be correlated with bronchoscopy findings, linking MDCT images with direct bronchoscopy observations.</div><div>This educational statement provides a comprehensive overview of the integration of computed tomography and bronchoscopy in managing different pulmonary conditions treated with endobronchial valve and airway stent placement, focusing on key aspects to enhance understanding and application in clinical practice. Emphasis is placed on their role in treating airway stenosis (AS), air leaks, and chronic obstructive pulmonary disease (COPD), highlighting the conditions under which these procedures are most beneficial. It explores how MDCT imaging contributes to the diagnosis and treatment planning of these conditions and the correct interpretation of MDCT image findings during follow-up after the procedure.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 2","pages":"Pages 159-166"},"PeriodicalIF":1.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019941","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":"The tipping point: Key oncologic imaging findings resulting in critical changes in the management of malignant genitourinary and gynecological tumors","authors":"Mohammad Reza Rouhezamin MD ,&nbsp;Susanna I. Lee MD, PhD ,&nbsp;Mukesh Harisinghani MD ,&nbsp;Raul N. Uppot MD","doi":"10.1067/j.cpradiol.2024.08.009","DOIUrl":"10.1067/j.cpradiol.2024.08.009","url":null,"abstract":"<div><h3>Objective</h3><div>The purpose of this article is to review the staging systems for common malignant genitourinary and gynecological tumors, including renal cell carcinoma, urinary bladder carcinoma, as well as cervical, endometrial, and ovarian carcinoma, and to highlight the key imaging findings (“tipping points”) that may alter patient management algorithms based on radiological staging.</div></div><div><h3>Conclusion</h3><div>There are identifiable imaging features for the common genitourinary and gynecological malignancies, including the size of the primary tumor, tumor extension, invasion of adjacent structures, lymph node involvement, and distant metastasis, which provide important prognostic information and determine patient management. Radiologists must be aware of these imaging findings (“tipping points”) when interpreting staging examinations.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 2","pages":"Pages 251-264"},"PeriodicalIF":1.5,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057635","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":"Long-term quality improvement in radiology specialty training at a tertiary cardiothoracic centre","authors":"Monika Radikė MD, PhD ,&nbsp;Marousa Ntouskou MD","doi":"10.1067/j.cpradiol.2024.08.010","DOIUrl":"10.1067/j.cpradiol.2024.08.010","url":null,"abstract":"<div><h3>Objectives</h3><div>This quality improvement project (QIP) aimed to foster radiology training at a regional tertiary cardiothoracic centre that had very low trainee satisfaction rankings.</div></div><div><h3>Methods</h3><div>To study the problem and intervene timely, multiple methods were applied, including a local feedback survey, placement reorganisation, consultant encouragement to train as accredited supervisors, followed by departmental education portal creation and start of externally funded Visiting Fellowships and salaried Clinical Fellowships. The regional rating was monitored. The local feedback survey was distributed and analysed using descriptive statistics. Alongside the QIP, service expansion occurred.</div></div><div><h3>Results</h3><div>The site regionally ranked 9/19 in 2 years. Local survey responses (53) showed continuous improvement; cardiothoracic subspecialty interest (+39%) and audit/academic involvement (+36%) increased. Multiple Fellowships were completed; internationally reputable placements were agreed upon. Most consultants trained as supervisors. Per increased demand, compulsory deanery posts were changed to motivation-based, and an additional salaried position was offered. Five fellows stayed in the region as subspecialist consultants. Unexpected challenges included space and workstation loss with service expansion, lack of regional surveys since 2019, and the global pandemic. Regardless, the results were positive with subspecialty interest and projected reputational effect increase. Local long-term survey provided sustainable data in detecting improvement areas.</div></div><div><h3>Conclusions</h3><div>Given the national radiologist shortage, this quality improvement project shows a possible positive impact of similar interventions, including workforce retention/recruitment and thus improving patient care.</div></div><div><h3>Advances in knowledge</h3><div>Continuous feedback and quality improvement maintenance are valuable to enhance training quality locally and beyond.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"54 4","pages":"Pages 422-428"},"PeriodicalIF":1.5,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057634","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}