Pub Date : 2026-03-01Epub Date: 2025-11-03DOI: 10.1016/j.jacr.2025.10.006
Ethan N. Lee BA , Zeyad Hammadeh DDS, MS , Michael A. Kraut MD, PhD , Misop Han MD, MS
Purpose
Industry-sponsored research payments (hereafter research payments) play an important role in the advancement of the medical sciences. Recent analysis of the Open Payments program (OPP) demonstrated that research payments are increasingly dispersed through noncovered entities (NCEs) across specialties. It is unknown how research payments are distributed to radiologists. The aims of this study were to assess trends in research payments to radiologists between 2015 and 2024 and to characterize payments distributed through NCEs.
Methods
A retrospective analysis of research payments in the OPP was performed, and payments accepted by radiologist principal investigators at NCEs were analyzed. Linear regression and descriptive statistics were used to examine annual payment trends.
Results
Between 2015 and 2024, 57,772 research payments totaling $824.2 million were accepted by 2,963 radiologists. Annual payments increased 50%, driven by a 44% increase in payments to NCEs (P < .01). At NCEs, median payments per principal investigator increased from $13,718 (interquartile range: $3,623-$53,795) to $24,350 (interquartile range: $5,500-$80,720) (P < .001). In 2024, male radiologists received 88% ($58.8 million) of NCE payments, a 54% increase (P < .01). Five manufacturers accounted for 40.4% of total research payments to radiologists.
Conclusions
Research payments to radiologists have increased significantly because of increases in payments to NCEs, concentrated among a select group of radiologists. When transparent and appropriately managed, NCEs represent valuable partnerships improving patient care, yet further research remains imperative to understand changes in research funding pathways.
{"title":"Trends in Industry-Sponsored Research Payments to Radiologist Principal Investigators","authors":"Ethan N. Lee BA , Zeyad Hammadeh DDS, MS , Michael A. Kraut MD, PhD , Misop Han MD, MS","doi":"10.1016/j.jacr.2025.10.006","DOIUrl":"10.1016/j.jacr.2025.10.006","url":null,"abstract":"<div><h3>Purpose</h3><div>Industry-sponsored research payments (hereafter research payments) play an important role in the advancement of the medical sciences. Recent analysis of the Open Payments program (OPP) demonstrated that research payments are increasingly dispersed through noncovered entities (NCEs) across specialties. It is unknown how research payments are distributed to radiologists. The aims of this study were to assess trends in research payments to radiologists between 2015 and 2024 and to characterize payments distributed through NCEs.</div></div><div><h3>Methods</h3><div>A retrospective analysis of research payments in the OPP was performed, and payments accepted by radiologist principal investigators at NCEs were analyzed. Linear regression and descriptive statistics were used to examine annual payment trends.</div></div><div><h3>Results</h3><div>Between 2015 and 2024, 57,772 research payments totaling $824.2 million were accepted by 2,963 radiologists. Annual payments increased 50%, driven by a 44% increase in payments to NCEs (<em>P</em> < .01). At NCEs, median payments per principal investigator increased from $13,718 (interquartile range: $3,623-$53,795) to $24,350 (interquartile range: $5,500-$80,720) (<em>P</em> < .001). In 2024, male radiologists received 88% ($58.8 million) of NCE payments, a 54% increase (<em>P</em> < .01). Five manufacturers accounted for 40.4% of total research payments to radiologists.</div></div><div><h3>Conclusions</h3><div>Research payments to radiologists have increased significantly because of increases in payments to NCEs, concentrated among a select group of radiologists. When transparent and appropriately managed, NCEs represent valuable partnerships improving patient care, yet further research remains imperative to understand changes in research funding pathways.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 3","pages":"Pages 459-466"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145440145","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}
Pub Date : 2026-03-01Epub Date: 2026-01-20DOI: 10.1016/j.jacr.2026.01.007
Ajay Malhotra MD, MMM
{"title":"Industry Funding for Research in Radiology and Need for Greater Transparency","authors":"Ajay Malhotra MD, MMM","doi":"10.1016/j.jacr.2026.01.007","DOIUrl":"10.1016/j.jacr.2026.01.007","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 3","pages":"Pages 467-468"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146031940","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}
Pub Date : 2026-03-01Epub Date: 2025-09-10DOI: 10.1016/j.jacr.2025.09.002
Nadja Kadom MD
{"title":"The Era of Artificial Intelligence: Can Radiologists Move From Invisible to Indispensable?","authors":"Nadja Kadom MD","doi":"10.1016/j.jacr.2025.09.002","DOIUrl":"10.1016/j.jacr.2025.09.002","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 3","pages":"Pages 457-458"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145056515","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}
Pub Date : 2026-03-01Epub Date: 2025-10-10DOI: 10.1016/j.jacr.2025.10.004
Ishita Raghuvanshi BS , Benjamin B. Risk PhD , Gelareh Sadigh MD , Jason W. Allen MD, PhD , Candace C. Fleischer PhD
Purpose
Lower socioeconomic status (SES) and longer distance to providers have been linked to disparities in health care access, often delaying diagnostic evaluation of acute conditions. Determining the effects of nonmedical factors on the acuity of MRI findings is critical for addressing health care inequities and improving access to medical imaging. The goal of this study was to characterize the effects of neighborhood SES and distance from home address to imaging center on acuity of brain MRI findings.
Methods
The investigators evaluated brain MRI scans acquired from March 2019 to March 2020. Neighborhood SES was quantified using the area deprivation index (ADI), and acuity was categorized by board-certified neuroradiologists (1, 2, or 3, with 3 indicating the highest acuity). Distance between home address and imaging center was calculated in miles and log2 transformed. The χ2 test and analysis of variance were used to assess groupwise differences in acuity. A multinomial baseline-category logit model was used to assess the relationship between z-scored ADI and log distance on acuity, controlling for age, sex, race, marital status, insurance type, and encounter type.
Results
The final cohort consisted of brain MRI scans from 4,813 individuals (mean age, 58.5 ± 17.3 years; 2,733 women). Acuity varied significantly across sex, race, marital status, insurance type, encounter type, and imaging center. Regression analysis revealed a 1-SD increase in z-scored ADI (ie, lower neighborhood SES) resulted in significantly higher acuity of inpatient brain MRI scans (acuity 2 > 1 odds ratio [OR], 1.34 [P = .0016]; acuity 3 > 1 OR, 1.32 [P = .0012]) and emergency department scans (acuity 2 > 1 OR, 1.27; P = .045). A twofold increase in distance resulted in significantly higher acuity of brain MRI findings for all scans (acuity 2 > 1 OR, 1.07 [P = .026]; acuity 3 > 1 OR, 1.15 [P < .001]).
Conclusions
Lower neighborhood SES for inpatient and emergency department scans and greater distance between home address and imaging center for all scans result in significantly higher odds of more acute brain MRI findings.
{"title":"Neighborhood Socioeconomic Status and Distance From Home Address to Imaging Center Influence the Acuity of Brain MRI Findings","authors":"Ishita Raghuvanshi BS , Benjamin B. Risk PhD , Gelareh Sadigh MD , Jason W. Allen MD, PhD , Candace C. Fleischer PhD","doi":"10.1016/j.jacr.2025.10.004","DOIUrl":"10.1016/j.jacr.2025.10.004","url":null,"abstract":"<div><h3>Purpose</h3><div>Lower socioeconomic status (SES) and longer distance to providers have been linked to disparities in health care access, often delaying diagnostic evaluation of acute conditions. Determining the effects of nonmedical factors on the acuity of MRI findings is critical for addressing health care inequities and improving access to medical imaging. The goal of this study was to characterize the effects of neighborhood SES and distance from home address to imaging center on acuity of brain MRI findings.</div></div><div><h3>Methods</h3><div>The investigators evaluated brain MRI scans acquired from March 2019 to March 2020. Neighborhood SES was quantified using the area deprivation index (ADI), and acuity was categorized by board-certified neuroradiologists (1, 2, or 3, with 3 indicating the highest acuity). Distance between home address and imaging center was calculated in miles and log<sub>2</sub> transformed. The χ<sup>2</sup> test and analysis of variance were used to assess groupwise differences in acuity. A multinomial baseline-category logit model was used to assess the relationship between <em>z</em>-scored ADI and log distance on acuity, controlling for age, sex, race, marital status, insurance type, and encounter type.</div></div><div><h3>Results</h3><div>The final cohort consisted of brain MRI scans from 4,813 individuals (mean age, 58.5 ± 17.3 years; 2,733 women). Acuity varied significantly across sex, race, marital status, insurance type, encounter type, and imaging center. Regression analysis revealed a 1-SD increase in <em>z</em>-scored ADI (ie, lower neighborhood SES) resulted in significantly higher acuity of inpatient brain MRI scans (acuity 2 > 1 odds ratio [OR], 1.34 [<em>P</em> = .0016]; acuity 3 > 1 OR, 1.32 [<em>P</em> = .0012]) and emergency department scans (acuity 2 > 1 OR, 1.27; <em>P</em> = .045). A twofold increase in distance resulted in significantly higher acuity of brain MRI findings for all scans (acuity 2 > 1 OR, 1.07 [<em>P</em> = .026]; acuity 3 > 1 OR, 1.15 [<em>P</em> < .001]).</div></div><div><h3>Conclusions</h3><div>Lower neighborhood SES for inpatient and emergency department scans and greater distance between home address and imaging center for all scans result in significantly higher odds of more acute brain MRI findings.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 3","pages":"Pages 421-429"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276824","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}
Pub Date : 2026-02-01Epub Date: 2025-11-13DOI: 10.1016/j.jacr.2025.11.007
Yash Sachin Saboo , David H. Kim MD
{"title":"Patient-Friendly Summary of the ACR Appropriateness Criteria®: Renal Transplant Dysfunction: 2025 Update","authors":"Yash Sachin Saboo , David H. Kim MD","doi":"10.1016/j.jacr.2025.11.007","DOIUrl":"10.1016/j.jacr.2025.11.007","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Page 339"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145530975","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}
Pub Date : 2026-02-01Epub Date: 2025-12-11DOI: 10.1016/j.jacr.2025.12.004
Daniel M. DePietro MD , Sophia R. O’Brien MD, MSEd , Arun C. Nachiappan MD , Scott A. Simpson DO, MSEd
Although radiology has become an increasingly fundamental part of modern health care, undergraduate medical education regarding radiology has not kept pace, and graduating medical students often lack radiology competency. Early integration of radiology within undergraduate medical education can help address this knowledge gap; however, despite the educational value of preclinical radiology education, there are significant economic implications to increased radiologist involvement in medical student education. Radiologist time carries opportunity costs in terms of productivity and, without proper support, an added educational role can lead to radiologist burnout. Such barriers can be addressed through institutional investment in preclinical radiology education roles, faculty development, workload redistribution, and other approaches. Time-saving and cost-efficient educational strategies must also be used, such as use of asynchronous content, trainee staffing of teaching sessions, and web-based PACS tools. When implemented thoughtfully, preclinical radiology education can deliver high returns on investment in terms of creating radiology-competent future physicians, improving imaging utilization and health care efficiency, and potentially inspiring students to pursue careers in radiology. This article explores the educational and economic rationale for preclinical radiology education and offers cost-effective and impactful implementation strategies.
{"title":"Early Imaging, Enduring Impact: Making the Case for Investment in Medical Student Radiology Education Within the Preclinical Years","authors":"Daniel M. DePietro MD , Sophia R. O’Brien MD, MSEd , Arun C. Nachiappan MD , Scott A. Simpson DO, MSEd","doi":"10.1016/j.jacr.2025.12.004","DOIUrl":"10.1016/j.jacr.2025.12.004","url":null,"abstract":"<div><div>Although radiology has become an increasingly fundamental part of modern health care, undergraduate medical education regarding radiology has not kept pace, and graduating medical students often lack radiology competency. Early integration of radiology within undergraduate medical education can help address this knowledge gap; however, despite the educational value of preclinical radiology education, there are significant economic implications to increased radiologist involvement in medical student education. Radiologist time carries opportunity costs in terms of productivity and, without proper support, an added educational role can lead to radiologist burnout. Such barriers can be addressed through institutional investment in preclinical radiology education roles, faculty development, workload redistribution, and other approaches. Time-saving and cost-efficient educational strategies must also be used, such as use of asynchronous content, trainee staffing of teaching sessions, and web-based PACS tools. When implemented thoughtfully, preclinical radiology education can deliver high returns on investment in terms of creating radiology-competent future physicians, improving imaging utilization and health care efficiency, and potentially inspiring students to pursue careers in radiology. This article explores the educational and economic rationale for preclinical radiology education and offers cost-effective and impactful implementation strategies.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 237-245"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145752458","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}
Pub Date : 2026-02-01Epub Date: 2026-02-02DOI: 10.1016/S1546-1440(25)00706-9
{"title":"Table of Content","authors":"","doi":"10.1016/S1546-1440(25)00706-9","DOIUrl":"10.1016/S1546-1440(25)00706-9","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages A1-A5"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146096058","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}
Pub Date : 2026-02-01Epub Date: 2025-09-03DOI: 10.1016/j.jacr.2025.08.054
Billy Chien MD , Jackson Pearce MD , Muhammad Qureshi MBBS , Puneet Bhargava MD , Mahan Mathur MD
Radiology education pedagogy has traditionally focused on a combination of in-house workstation teaching and either didactic or case-based conferences. These approaches, however, may no longer be sustainable in the current radiology climate. The rising growth in imaging volumes combined with the demand for shorter report turnaround times, ongoing noninterpretative tasks, and the nationwide radiology workforce shortage have contributed to faculty burnout, which can have a significant impact on resident education. Fortunately, educators can leverage ongoing technological advances to provide a learning experience for residents that may overcome some of the current challenges. The authors discuss some of these pedagogic advances and offer strategies for their implementation during the clinical workday. A nuanced discussion of the advantages and challenges is provided, with a focus on the economic considerations associated with adopting each of these approaches.
{"title":"Alternative Approaches to Resident Education","authors":"Billy Chien MD , Jackson Pearce MD , Muhammad Qureshi MBBS , Puneet Bhargava MD , Mahan Mathur MD","doi":"10.1016/j.jacr.2025.08.054","DOIUrl":"10.1016/j.jacr.2025.08.054","url":null,"abstract":"<div><div>Radiology education pedagogy has traditionally focused on a combination of in-house workstation teaching and either didactic or case-based conferences. These approaches, however, may no longer be sustainable in the current radiology climate. The rising growth in imaging volumes combined with the demand for shorter report turnaround times, ongoing noninterpretative tasks, and the nationwide radiology workforce shortage have contributed to faculty burnout, which can have a significant impact on resident education. Fortunately, educators can leverage ongoing technological advances to provide a learning experience for residents that may overcome some of the current challenges. The authors discuss some of these pedagogic advances and offer strategies for their implementation during the clinical workday. A nuanced discussion of the advantages and challenges is provided, with a focus on the economic considerations associated with adopting each of these approaches.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 205-215"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145006910","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}
Pub Date : 2026-02-01Epub Date: 2025-11-17DOI: 10.1016/j.jacr.2025.11.019
Jeshwanth Mohan , Sherry S. Wang MBBS
{"title":"Patient-Friendly Summary of the ACR Appropriateness Criteria®: Colorectal Cancer Screening: 2025 Update","authors":"Jeshwanth Mohan , Sherry S. Wang MBBS","doi":"10.1016/j.jacr.2025.11.019","DOIUrl":"10.1016/j.jacr.2025.11.019","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Page 333"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145558561","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}
Pub Date : 2026-02-01Epub Date: 2025-11-13DOI: 10.1016/j.jacr.2025.11.009
Patrik Rogalla MD, PhD, MBA
{"title":"The Cult of “Myself”: How Hypercorrection Seizes Professional English, and Why It Matters in Radiology","authors":"Patrik Rogalla MD, PhD, MBA","doi":"10.1016/j.jacr.2025.11.009","DOIUrl":"10.1016/j.jacr.2025.11.009","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 320-321"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145530980","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}