Journal of the American College of Radiology : JACR最新文献

{"title":"Limited Added Value of Pelvic Ultrasound After Negative CT Abdomen Pelvis for Emergent Gynecologic Pathology.","authors":"Tamanna Hossin, Rohit B Sangal, Joseph Cavallo, Terri Q Huynh, R Andrew Taylor, Arjun K Venkatesh","doi":"10.1016/j.jacr.2025.08.016","DOIUrl":"10.1016/j.jacr.2025.08.016","url":null,"abstract":"","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981362","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":"Incidence of Adverse Events Related to Ballistic Fragments in Patients Undergoing MRI at a Large Urban Health System: Implications for MR Safety Screening.","authors":"Paul M Armenta, Adam Siegel, Russel R Fullerton, Renee Segarra, Judah Burns, Michael L Lipton","doi":"10.1016/j.jacr.2025.08.006","DOIUrl":"10.1016/j.jacr.2025.08.006","url":null,"abstract":"<p><strong>Background: </strong>Patients with retained ballistic fragments commonly require MRI. Very few studies have reported MRI-related adverse events in patients with retained bullet or shrapnel fragments. Current ACR recommendations suggest caution when scanning patients with retained fragments but offer limited concrete guidance to assist MRI personnel with safety determinations.</p><p><strong>Purpose: </strong>To assess the incidence of retained bullet or shrapnel fragments in patients undergoing MRI and of associated adverse events, in the context of an existing screening policy.</p><p><strong>Material and methods: </strong>The Montage search feature of the PS360 reporting system for radiological examinations was used to identify, for the years 2010-2023, all patients who underwent radiographic examinations demonstrating retained bullet or shrapnel fragments, who underwent a subsequent MRI examination. Medical record review was used to assess the occurrence of adverse events related to the MRI examination.</p><p><strong>Results: </strong>In all, 220 patients with evidence of a retained bullet or shrapnel fragment who underwent subsequent MRI were identified from 6,143 positive radiographs. Four of 220 patients (1.8%) reported transient localized burning or discomfort during the MRI examination. In each of the four patients, the retained bullet or shrapnel fragments were in the superficial soft tissues. No medical treatment was required, and no serious adverse events or persistent symptoms were reported.</p><p><strong>Conclusion: </strong>There is a low incidence of adverse events in patients with known bullet or shrapnel fragments undergoing MRI in the context of the local screening policy. An effective screening paradigm likely plays a role in minimizing adverse events.</p>","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862672","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":"Bridging Radiologic Disparities Through Federally Qualified Health Center-Academic Partnerships: A Call for Rural Inclusion and Outcome-Oriented Approaches.","authors":"Javed Iqbal, Ayesha Parvaiz Malik, Ghulam Hussain, Somayeh Hormaty, Sumaira Khowaja-Punjwani","doi":"10.1016/j.jacr.2025.07.032","DOIUrl":"10.1016/j.jacr.2025.07.032","url":null,"abstract":"","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862669","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":"Educational Debt Among US Medical Graduates Entering Radiology.","authors":"Pavan Khosla, Dheeman Futela, Seyedmehdi Payabvash, John E Jordan, David Seidenwurm, Dheeraj Gandhi, Ajay Malhotra","doi":"10.1016/j.jacr.2025.08.011","DOIUrl":"https://doi.org/10.1016/j.jacr.2025.08.011","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The aim of this study was to identify trends in medical educational debt for U.S. medical school graduates pursuing radiology and examine associations with socioeconomic factors.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Materials and methods: &lt;/strong&gt;Data was obtained from the Association of American Medical Colleges (AAMC) Graduation (GQ) and Matriculating Student Questionnaires (MSQ) to identify self-reported medical educational debt for graduates pursuing radiology training. The proportion of medical graduates with debt in radiology were compared to those in other medical specialties. Trends in medical educational debt (inflation adjusted to 2024 USD) were calculated from 2015 to 2024. Descriptive statistics were used to assess characteristics associated with debt. Debt-to-income ratios were calculated using compensation data from AAMC and Medical Group Management Association (MGMA) data.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;There were 162081 responses from US medical graduates recorded from 2015 to 2024, of which 6477 planned on radiology training. The percentage of students pursuing radiology with medical educational debt decreased from 76.5% in 2015 to 64.6% in 2024. The median medical educational debt increased from $237,600 in 2015 to $248,000 in 2018, and has been decreasing since, to $200,000 in 2024. Higher likelihood of debt was reported by graduates from self-identified race and ethnicity groups who are underrepresented in medicine (URiM) (OR 1.74, 95% CI 1.48-2.06), but with a lower total debt among indebted (median $208,530 [IQR $133,915 - $280,810]) when compared with graduates not self-identifying as URiM ($226,600 [IQR $153,400 - $298,388]; P = 0.004). In 2015, 25.8% of indebted radiology-bound graduates indicated plans to use Public Service Loan Forgiveness (PSLF), which increased to 44.9% in 2024 (P &lt; 0.001). In 2023, the median debt for radiology graduates represented between 35% and 45% of total annual compensation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Discussion: &lt;/strong&gt;Although the debt burden and the proportion of radiology-bound graduates with medical educational debt declined from 2015 to 2024, interest in PSLF nearly doubled. Graduates from lower-income families and those of URiM racial/ethnic groups had a higher likelihood of debt burden.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Summary sentence: &lt;/strong&gt;From 2015 to 2024, medical educational debt among radiology-bound US medical graduates declined overall, but debt remained disproportionately more likely among students from underrepresented and lower-income backgrounds, with interest in Public Service Loan Forgiveness nearly doubling. TAKE HOME POINTS (3-6): •Prevalence of medical educational debt among radiology-bound medical graduates has declined, from 76.5% in 2015 to 64.6% in 2024. •Median educational debt for indebted radiology-bound graduates rose by 4.4% from $237,600 in 2015 to $248,000 in 2018, then fell by 19.4% to $200,000 in 2024 (inflation adjusted 2024 USD). •Graduates pursuing radiology had a lowe","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862670","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 Future of Radiology Residency Training.","authors":"Eric England, Carolyn C Meltzer, Alexa O Levey, Greg Zaharchuk, Judith A Gadde","doi":"10.1016/j.jacr.2025.08.009","DOIUrl":"10.1016/j.jacr.2025.08.009","url":null,"abstract":"","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862674","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":"Priced by Association: How Ownership Can Affect Radiology Practice Revenue.","authors":"Vrushab Gowda, Joshua M Liao","doi":"10.1016/j.jacr.2025.08.008","DOIUrl":"10.1016/j.jacr.2025.08.008","url":null,"abstract":"","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862673","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":"Facility-Level Variation Underlying Low Inferior Vena Cava Filter Retrieval in the United States.","authors":"Premal Trivedi, Lei Wang, Evan Carey, Richard Lindrooth, Maria Puello Baron, Jonathan Lindquist, P Michael Ho","doi":"10.1016/j.jacr.2025.08.005","DOIUrl":"10.1016/j.jacr.2025.08.005","url":null,"abstract":"<p><strong>Objectives: </strong>Timely retrieval of inferior vena cava (IVC) filters is recommended to reduce complications and optimize outcomes. This study aims to quantify facility-level variation in risk-adjusted IVC filter retrieval across US hospitals and to identify patient- and hospital-level factors associated with nonretrieval.</p><p><strong>Methods: </strong>Medicare beneficiaries undergoing IVC filter implantation were identified in the 100% claims files for years 2016 to 2020. Facility-level variation in device retrieval was quantified using Bayesian hospital profiling. Patient- and hospital-level factors associated with nonretrieval were assessed using logistic regression, adjusting for diagnostic indication, comorbidities, and implantation year.</p><p><strong>Results: </strong>IVC filters were implanted in 119,613 Medicare beneficiaries across 2,485 facilities. Retrieval rates were low: median 6.2% within 3 months and 14.8% within 1 year. Excluding deaths within 3 months (30.2%), retrieval ranged from 0% to 100% across facilities. Among high-volume hospitals (top 25th percentile, implanting ≥13 filters per year), 1-year risk-adjusted retrieval ranged from 0% to 74.5%, mean 20% ± 14.2% (positive skew 0.95). Patient factors associated with IVC filter nonretrieval included age > 80 years (odds ratio 2.98, 95% confidence interval [2.73-3.24]), Black race (1.62, [1.51-1.72]), and Hispanic ethnicity (1.45, [1.16-1.80]). Among hospital factors, nonteaching (1.45 [1.37-1.53]), small bed size (1.37 [1.24-1.50]), and safety-net (1.42 [1.34-1.50]) facilities were strongly associated with IVC filter nonretrieval.</p><p><strong>Discussion: </strong>High mortality within 3 months of IVC filter implantation suggests opportunity to improve patient selection and, potentially, device type choice. There is large facility-level variance underlying low aggregate IVC filter retrieval nationally; a focus on standardizing device surveillance and identifying best practices from high-performing facilities is warranted.</p>","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862671","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":"Bridging the Gap Between Radiology Reports and Patients: Further Considerations on the Patient-Facing Radiology Artificial Intelligence Tool RadGPT Study.","authors":"Deniz Esin Tekcan Sanli, Ahmet Necati Sanli","doi":"10.1016/j.jacr.2025.07.031","DOIUrl":"10.1016/j.jacr.2025.07.031","url":null,"abstract":"","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144859973","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":"Reply.","authors":"Sanna E Herwald, Preya Shah, Andrew Johnston, Cameron Olsen, Jean-Benoit Delbrouck, Curtis P Langlotz","doi":"10.1016/j.jacr.2025.08.004","DOIUrl":"10.1016/j.jacr.2025.08.004","url":null,"abstract":"","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857175","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":"Reimbursement for Artificial Intelligence Software as a Medical Device in Radiology.","authors":"Joshua M Liao, Ezequiel Silva, Melissa M Chen, Ryan K Lee, Christoph I Lee","doi":"10.1016/j.jacr.2025.08.001","DOIUrl":"10.1016/j.jacr.2025.08.001","url":null,"abstract":"","PeriodicalId":73968,"journal":{"name":"Journal of the American College of Radiology : JACR","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144849974","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}