Journal of the American College of Radiology最新文献

{"title":"Generalizability and Causal Inference Considerations in Self-Scheduling Mammography Completion","authors":"Qi Xu MMed","doi":"10.1016/j.jacr.2025.05.022","DOIUrl":"10.1016/j.jacr.2025.05.022","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1111-1112"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Unintended Consequences of USMLE Step 1 Pass/Fail: Heightened Barriers in the Residency Match for Competitive Specialties","authors":"Megan Worthington MS , Ruth C. Carlos MD, MS","doi":"10.1016/j.jacr.2025.06.017","DOIUrl":"10.1016/j.jacr.2025.06.017","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1237-1239"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race","authors":"Miriam Chisholm BSPH ,&nbsp;Mohamed Sobhi Jabal MD, MS ,&nbsp;Hongyu He MS ,&nbsp;Yuqi Wang MS ,&nbsp;Kevin Kalisz MD ,&nbsp;Kyle J. Lafata PhD ,&nbsp;Evan Calabrese MD, PhD ,&nbsp;Mustafa R. Bashir MD ,&nbsp;Tina D. Tailor MD ,&nbsp;Kirti Magudia MD, PhD","doi":"10.1016/j.jacr.2025.06.016","DOIUrl":"10.1016/j.jacr.2025.06.016","url":null,"abstract":"<div><h3>Objectives</h3><div>Differences in CT-based body composition (BC) have been observed by race. We sought to investigate whether indices reporting census block group-level disadvantage, Area Deprivation Index (ADI) and Social Vulnerability Index (SVI), age, gender, and clinical factors could explain race-based differences in BC.</div></div><div><h3>Methods</h3><div><span>The first abdominal CT examinations for patients in Durham County at a single institution in 2020 were analyzed using a fully automated and open-source deep learning BC analysis workflow to generate cross-sectional areas for skeletal muscle (SMA), </span>subcutaneous fat<span> (SFA), and visceral fat<span> (VFA). Patient-level demographic and clinical data were gathered from the electronic health record. State ADI ranking and SVI values were linked to each patient. Univariable and multivariable models were created to assess the association of demographics, ADI, SVI, and other relevant clinical factors with SMA, SFA, and VFA.</span></span></div></div><div><h3>Results</h3><div><span>In all, 5,311 patients (mean age, 57.4 years; 55.5% female; 46.5% Black; 39.5% White; 10.3% Hispanic) were included. At univariable analysis, race, ADI, SVI, gender, body mass index, weight, and height were significantly associated with all body compartments (SMA, SFA, and VFA, all </span><em>P</em><span> &lt; .05). At multivariable analyses adjusted for patient characteristics and clinical comorbidities, race remained a significant predictor, whereas ADI did not. SVI was significant in a multivariable model with SMA.</span></div></div><div><h3>Discussion</h3><div>The results of this retrospective study suggest that neighborhood indices are insufficient proxies for the socio-economic and environmental factors likely driving race-based differences in CT-based BC. Future research should analyze individual census tract variables and patient level data to better understand this relationship.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1182-1192"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144303882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing the Impact of Incidental Stroke Detection on Secondary Prevention","authors":"Dawood Javed MBBS,&nbsp;Abdullah Javed MBBS","doi":"10.1016/j.jacr.2025.05.021","DOIUrl":"10.1016/j.jacr.2025.05.021","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1109-1110"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144259557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Benefits, Costs, and Opportunities of Remote Radiologists","authors":"Lori A. Deitte MD ,&nbsp;Rohini Nadgir MD ,&nbsp;Michael Recht MD ,&nbsp;Michele Retrouvey MD","doi":"10.1016/j.jacr.2025.06.008","DOIUrl":"10.1016/j.jacr.2025.06.008","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1247-1249"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144259558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protecting Radiology Data and Devices Against Cybersecurity Threats: A Joint White Paper of the ACR and Society for Imaging Informatics in Medicine1","authors":"Po-Hao Chen MD, MBA ,&nbsp;Benoit Desjardins MD, PhD ,&nbsp;Brett Strassner MA ,&nbsp;Reza Forghani MD, PhD ,&nbsp;Robert Bodak ,&nbsp;Judy Gichoya MD, MS ,&nbsp;James Whitfill MD, MBA ,&nbsp;Eric C. Ehman MD ,&nbsp;Christoph Wald MD, PhD, MBA","doi":"10.1016/j.jacr.2025.07.014","DOIUrl":"10.1016/j.jacr.2025.07.014","url":null,"abstract":"<div><div>Modern radiology relies entirely on digital imaging systems. Health care records draw cybercriminals’ attention. On-site and cloud-based informatics systems, including artificial intelligence, can boost efficiency but also create weak points. Medical imaging systems must safeguard patient identities, control access, secure devices, and coordinate with patients, payers, and billing partners. Endorsed by the ACR and the Society for Imaging Informatics in Medicine, this white paper outlines steps to fortify the medical imaging pipeline methodically, train caregivers on the frontline, and develop incident response and recovery strategies for data breaches and disabling ransomware attacks. Additionally, building a culture of safety in imaging involves conducting routine simulations and actively engaging leadership. Taken together, these multidisciplinary interventions can minimize the clinical impact and operational implications of cybersecurity events, thereby maintaining patient trust in an increasingly interconnected imaging workflow.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1160-1172"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144790947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Analysis of Radiology Procedure Price Variation in Children’s Hospitals Between 2023 and 2024: Hospital Price Transparency in Action","authors":"Philip Krotenok BS ,&nbsp;Summer Kaplan MD, MS","doi":"10.1016/j.jacr.2025.04.037","DOIUrl":"10.1016/j.jacr.2025.04.037","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1203-1206"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Table of Content","authors":"","doi":"10.1016/S1546-1440(25)00524-1","DOIUrl":"10.1016/S1546-1440(25)00524-1","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages A1-A6"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145195979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Patient Experience and Cost-Effectiveness in Same-Day Breast Biopsy Initiatives","authors":"Qi Xu MMed","doi":"10.1016/j.jacr.2025.05.023","DOIUrl":"10.1016/j.jacr.2025.05.023","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Page 1114"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Survey Study of Patients’ Reported Preferences for Episode-Based Cost-Sharing Models","authors":"Kevin Dao MD ,&nbsp;Ozivefueshe Dimowo MD ,&nbsp;Olutola Akande MPH ,&nbsp;Darrys Reese BS ,&nbsp;Aishwarya Joshi MBA ,&nbsp;S. Sriram PhD ,&nbsp;Michal Horný PhD ,&nbsp;A. Mark Fendrick MD ,&nbsp;Ruth C. Carlos MD, MS ,&nbsp;Gelareh Sadigh MD","doi":"10.1016/j.jacr.2025.04.020","DOIUrl":"10.1016/j.jacr.2025.04.020","url":null,"abstract":"<div><h3>Purpose</h3><div>Episode-based cost sharing (EBCS), defined as prospectively set patients’ cost-sharing obligations for an entire episode of care, is proposed to reduce cost uncertainty for patients. The aim of this study was to assess patient preferences for EBCS for three hypothetical care episodes: breast cancer screening (BCS), lung cancer screening (LCS), and childbirth.</div></div><div><h3>Methods</h3><div>Adult, English-speaking Amazon Mechanical Turk workers participated in three surveys, with eligibility varying on the basis of the screening eligibility criteria for BCS, LCS, and the ability to give birth. Using a choice-based experiment, participants stated their preferred cost-sharing models for BCS, LCS, and childbirth. Selections were from nine models constructed on the basis of two attributes each with three levels: (1) initial cost (none or low, intermediate, and high) and (2) subsequently revealed additional cost if other or different medical services were needed (none, intermediate, and uncertain). Data were analyzed using hierarchical Bayesian conjoint analysis to compare preferences for EBCS (high or intermediate initial cost, no subsequent cost for additional services) versus the status quo (no or low initial cost with uncertain cost of additional services).</div></div><div><h3>Results</h3><div>In total, 103, 103, and 102 individuals participated in the BCS, LCS, and childbirth surveys, respectively. Across all three surveys, EBCS models were preferred over the status quo by 18.1 percentage points (95% confidence interval [CI], 17.8-18.4 percentage points) for BCS, 12.0 percentage points (95% CI, 11.7-12.3 percentage points) for LCS, and 44.5 percentage points (95% CI, 44.1-44.9 percentage points) for childbirth. Cost-sharing models with uncertain additional costs were the least preferred across all surveys.</div></div><div><h3>Conclusions</h3><div>Health care consumers prefer cost-sharing models that prospectively guarantee out-of-pocket costs for entire care episodes.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"22 10","pages":"Pages 1173-1181"},"PeriodicalIF":5.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144025630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}