Pub Date : 2026-02-01DOI: 10.1016/j.jacr.2025.12.010
Angela I. Choe MD , Anna Rozenshtein MD, MPH , Lori Deitte MD , Judy Yee MD , Ryan K. Lee MD, MBA , Alison Chetlen DO
Resident education is a cornerstone of academic medicine. However, increasing pressures to generate revenue through clinical productivity metrics like relative value units have introduced complex tensions between education and clinical service. Balancing teaching with relative value unit generation is a common and complex challenge in academic radiology. It requires a strategic approach that addresses both the need for high-quality resident training and the economic pressures of clinical practice. In this article, we discuss practical strategies to achieve balance between resident education and revenue production, including developing academic compensation models and identifying innovative teaching methods.
{"title":"The Juggle Is Real: Balancing Teaching and Clinical Productivity","authors":"Angela I. Choe MD , Anna Rozenshtein MD, MPH , Lori Deitte MD , Judy Yee MD , Ryan K. Lee MD, MBA , Alison Chetlen DO","doi":"10.1016/j.jacr.2025.12.010","DOIUrl":"10.1016/j.jacr.2025.12.010","url":null,"abstract":"<div><div>Resident education is a cornerstone of academic medicine. However, increasing pressures to generate revenue through clinical productivity metrics like relative value units have introduced complex tensions between education and clinical service. Balancing teaching with relative value unit generation is a common and complex challenge in academic radiology. It requires a strategic approach that addresses both the need for high-quality resident training and the economic pressures of clinical practice. In this article, we discuss practical strategies to achieve balance between resident education and revenue production, including developing academic compensation models and identifying innovative teaching methods.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 192-196"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145745988","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.08.009
Eric England MD , Carolyn C. Meltzer MD , Alexa O. Levey MD , Greg Zaharchuk MD, PhD , Judith A. Gadde DO, MBA
{"title":"The Future of Radiology Residency Training","authors":"Eric England MD , Carolyn C. Meltzer MD , Alexa O. Levey MD , Greg Zaharchuk MD, PhD , Judith A. Gadde DO, MBA","doi":"10.1016/j.jacr.2025.08.009","DOIUrl":"10.1016/j.jacr.2025.08.009","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 309-311"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862674","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.08.011
Pavan Khosla BA , Dheeman Futela MBBS , Seyedmehdi Payabvash MD , John E. Jordan MD, MPP , David Seidenwurm MD , Dheeraj Gandhi MD , Ajay Malhotra MD, MMM
Objective
The aim of this study was to identify trends in medical educational debt for US medical school graduates pursuing radiology and examine associations with socio-economic factors.
Materials and methods
Data were obtained from the Association of American Medical Colleges Graduation and Matriculating Student Questionnaires to identify self-reported medical educational debt for graduates pursuing radiology training. The proportion of medical graduates with debt in radiology were compared with those in other medical specialties. Trends in medical educational debt (inflation adjusted to 2024 US dollars) 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 Association of American Medical Colleges and Medical Group Management Association data.
Results
There were 162,081 responses from US medical graduates recorded from 2015 to 2024, of which 6,477 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) (odds ratio 1.74, 95% confidence interval 1.48-2.06), but with a lower total debt (median $208,530; interquartile range $133,915-$280,810) when compared with graduates not self-identifying as URiM ($226,600; interquartile range $153,400-$298,388; P = .004). In 2015, 25.8% of indebted radiology-bound graduates indicated plans to use Public Service Loan Forgiveness, which increased to 44.9% in 2024 (P < .001). In 2023, the median debt for radiology graduates represented between 35% and 45% of total annual compensation.
Discussion
Although the debt burden and the proportion of radiology-bound graduates with medical educational debt declined from 2015 to 2024, interest in Public Service Loan Forgiveness nearly doubled. Graduates from lower-income families and those of URiM racial or ethnic groups had a higher likelihood of debt burden.
{"title":"Educational Debt Among US Medical Graduates Entering Radiology","authors":"Pavan Khosla BA , Dheeman Futela MBBS , Seyedmehdi Payabvash MD , John E. Jordan MD, MPP , David Seidenwurm MD , Dheeraj Gandhi MD , Ajay Malhotra MD, MMM","doi":"10.1016/j.jacr.2025.08.011","DOIUrl":"10.1016/j.jacr.2025.08.011","url":null,"abstract":"<div><h3>Objective</h3><div>The aim of this study was to identify trends in medical educational debt for US medical school graduates pursuing radiology and examine associations with socio-economic factors.</div></div><div><h3>Materials and methods</h3><div>Data were obtained from the Association of American Medical Colleges Graduation and Matriculating Student Questionnaires to identify self-reported medical educational debt for graduates pursuing radiology training. The proportion of medical graduates with debt in radiology were compared with those in other medical specialties. Trends in medical educational debt (inflation adjusted to 2024 US dollars) 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 Association of American Medical Colleges and Medical Group Management Association data.</div></div><div><h3>Results</h3><div>There were 162,081 responses from US medical graduates recorded from 2015 to 2024, of which 6,477 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) (odds ratio 1.74, 95% confidence interval 1.48-2.06), but with a lower total debt (median $208,530; interquartile range $133,915-$280,810) when compared with graduates not self-identifying as URiM ($226,600; interquartile range $153,400-$298,388; <em>P</em> = .004). In 2015, 25.8% of indebted radiology-bound graduates indicated plans to use Public Service Loan Forgiveness, which increased to 44.9% in 2024 (<em>P</em> < .001). In 2023, the median debt for radiology graduates represented between 35% and 45% of total annual compensation.</div></div><div><h3>Discussion</h3><div>Although the debt burden and the proportion of radiology-bound graduates with medical educational debt declined from 2015 to 2024, interest in Public Service Loan Forgiveness nearly doubled. Graduates from lower-income families and those of URiM racial or ethnic groups had a higher likelihood of debt burden.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 225-236"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862670","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.07.035
Ammar Sarwar MD, Zohaa Faiz MD, Julie Bulman MD
{"title":"Clarification on the Methodology for Identifying Practicing Interventional Radiologists and Calculating Work Relative Value Units","authors":"Ammar Sarwar MD, Zohaa Faiz MD, Julie Bulman MD","doi":"10.1016/j.jacr.2025.07.035","DOIUrl":"10.1016/j.jacr.2025.07.035","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Page 180"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145066286","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.09.025
Jessica H. Porembka MD , Emily L. Paton MD , Yin Xi PhD , Ruth C. Carlos MD, MS , Sheena Bhalla MD , Jeremy P. Cetnar MD, MSHPR , Sukh Makhnoon PhD, MS , Arun Krishnaraj MD, MPH , Eric M. Rubin MD , David E. Gerber MD
{"title":"Radiologists’ Perceptions of the 21st Century Cures Act","authors":"Jessica H. Porembka MD , Emily L. Paton MD , Yin Xi PhD , Ruth C. Carlos MD, MS , Sheena Bhalla MD , Jeremy P. Cetnar MD, MSHPR , Sukh Makhnoon PhD, MS , Arun Krishnaraj MD, MPH , Eric M. Rubin MD , David E. Gerber MD","doi":"10.1016/j.jacr.2025.09.025","DOIUrl":"10.1016/j.jacr.2025.09.025","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 276-280"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228720","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.09.028
Elliot K. Fishman MD , Daniel J. Lee MD , Linda C. Chu MD , Steven P. Rowe MD, PhD
{"title":"The Academic Mission Starts, or Ends, at the Top","authors":"Elliot K. Fishman MD , Daniel J. Lee MD , Linda C. Chu MD , Steven P. Rowe MD, PhD","doi":"10.1016/j.jacr.2025.09.028","DOIUrl":"10.1016/j.jacr.2025.09.028","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 318-319"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145228314","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.10.001
Chi Trinh MD , Victoria Shi BA , Tiffany Pham BS , Skylar Mackay BS, BA , Alexandra J. Davis BS , Eniola T. Oluyemi MD , Emily B. Ambinder MD
Purpose
Despite potential benefits for surgical planning, prior studies have demonstrated disparities in the use of preoperative breast MRI, raising concerns about equitable access to this imaging tool. In this study, the authors assessed how the rates of preoperative breast MRI use vary by patient sociodemographic and clinical factors and evaluated MRI benefits in this context.
Methods
This was a retrospective cohort studying including all patients who underwent breast surgery after a new breast cancer diagnosis at a tertiary care multisite academic institution between July 1, 2016, and December 31, 2022 (n = 1,792). Patient characteristics were compared between the patients who did (n = 992) and did not (n = 800) undergo MRI for disease extent evaluation using the χ2 test.
Results
MRI examinations were completed more frequently in patients 50 years or younger and those 51 to 70 years of age compared with those older than 70 years (77% and 50% vs 25%, P < .001) and in those of white and other races than those of black race (55% and 62% vs 44%, P < .001). The rate of MRI increased with increasing breast density (P < .001) and higher tumor stage (P < .001). It was also influenced by receptor status and histology, with the highest utilization in patients with Her2+ enriched disease (P < .001) and those with invasive lobular carcinoma (P < .001). Among patients who underwent preoperative MRI, 51.5% were found to have additional suspicious lesions, and 69.1% of these patients underwent image-guided biopsy (26.6% malignant, 16.6% high risk). Patients who underwent preoperative MRI underwent mastectomy more commonly than those who did not (49% vs 31%, P < .001) but were significantly less likely to require reexcision (8% vs 14%, P < .001).
Conclusions
The present results suggest that preoperative MRI improves surgical planning by detecting additional lesions and decreasing the need for reexcision but is also associated with higher mastectomy rates. Utilization varied significantly by age, race, tumor features, and breast density, highlighting sociodemographic and clinical disparities. These findings underscore the need for targeted efforts to ensure equitable access and to develop guidelines.
目的：尽管对手术计划有潜在的好处，但先前的研究表明，术前乳房MRI的使用存在差异，这引起了人们对公平使用这种成像工具的关注。在这项研究中，我们评估了术前乳房MRI使用率如何随患者社会人口统计学和临床因素而变化，并在此背景下评估MRI的益处。方法：这是一项回顾性队列研究，包括2016年7月1日至2022年12月31日期间在三级医疗多中心学术机构新诊断为乳腺癌后接受乳房手术的所有患者（n=1792）。采用卡方检验比较进行MRI检查（n=992）和未进行MRI检查（n=800）的患者的特征。结果：与70岁以上的患者相比，50岁或以下的患者和51-70岁的患者完成MRI的频率更高（77%和50% vs. 25%）。讨论：我们的结果表明，术前MRI通过检测额外病变和减少再次切除的需要来改善手术计划，但也与更高的乳房切除术率相关。根据年龄、种族、肿瘤特征和乳腺密度的不同，使用情况有显著差异，突出了社会人口统计学和临床差异。这些调查结果强调需要有针对性地努力确保公平获取和制定指导方针。
{"title":"Preoperative Breast MRI for Extent-of-Disease Evaluation Following New Breast Cancer Diagnosis: A Retrospective Cohort Study","authors":"Chi Trinh MD , Victoria Shi BA , Tiffany Pham BS , Skylar Mackay BS, BA , Alexandra J. Davis BS , Eniola T. Oluyemi MD , Emily B. Ambinder MD","doi":"10.1016/j.jacr.2025.10.001","DOIUrl":"10.1016/j.jacr.2025.10.001","url":null,"abstract":"<div><h3>Purpose</h3><div>Despite potential benefits for surgical planning, prior studies have demonstrated disparities in the use of preoperative breast MRI, raising concerns about equitable access to this imaging tool. In this study, the authors assessed how the rates of preoperative breast MRI use vary by patient sociodemographic and clinical factors and evaluated MRI benefits in this context.</div></div><div><h3>Methods</h3><div>This was a retrospective cohort studying including all patients who underwent breast surgery after a new breast cancer diagnosis at a tertiary care multisite academic institution between July 1, 2016, and December 31, 2022 (n = 1,792). Patient characteristics were compared between the patients who did (n = 992) and did not (n = 800) undergo MRI for disease extent evaluation using the χ<sup>2</sup> test.</div></div><div><h3>Results</h3><div>MRI examinations were completed more frequently in patients 50 years or younger and those 51 to 70 years of age compared with those older than 70 years (77% and 50% vs 25%, <em>P</em> < .001) and in those of white and other races than those of black race (55% and 62% vs 44%, <em>P</em> < .001). The rate of MRI increased with increasing breast density (<em>P</em> < .001) and higher tumor stage (<em>P</em> < .001). It was also influenced by receptor status and histology, with the highest utilization in patients with Her2<sup>+</sup> enriched disease (<em>P</em> < .001) and those with invasive lobular carcinoma (<em>P</em> < .001). Among patients who underwent preoperative MRI, 51.5% were found to have additional suspicious lesions, and 69.1% of these patients underwent image-guided biopsy (26.6% malignant, 16.6% high risk). Patients who underwent preoperative MRI underwent mastectomy more commonly than those who did not (49% vs 31%, <em>P</em> < .001) but were significantly less likely to require reexcision (8% vs 14%, <em>P</em> < .001).</div></div><div><h3>Conclusions</h3><div>The present results suggest that preoperative MRI improves surgical planning by detecting additional lesions and decreasing the need for reexcision but is also associated with higher mastectomy rates. Utilization varied significantly by age, race, tumor features, and breast density, highlighting sociodemographic and clinical disparities. These findings underscore the need for targeted efforts to ensure equitable access and to develop guidelines.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 281-289"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276814","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.09.033
Dheeman Futela MBBS , Sachi Malhotra , Seyedmehdi Payabvash MD , Dhairya A. Lakhani MD , Dheeraj Gandhi MD , Achala Vagal MD, MS , Max Wintermark MD, MBA , Ajay Malhotra MD, MMM
Objective
We aimed to assess recent trends in diagnostic radiology residency positions, rates of applications per applicant, application burden for programs, match probability rates, and impact of preference signaling on the match process.
Methods
The Electronic Residency Application Service (ERAS) national applicant statistics from 2020 to 2025 were used to collect the total number of applicants to diagnostic radiology programs, along with the average applications submitted per applicant and average application count received per program. The biennial National Resident matching Program “Charting Outcomes in the Match” report was used to collect total positions offered in the match, number of applicants who participated in the match with diagnostic radiology as the preferred specialty (active match applicants), number of matched and unmatched applicants, and mean number of contiguous ranks by matched and unmatched applicants.
Results
Between 2020 and 2025, the total number of ERAS applicants who applied to diagnostic radiology programs increased by 9.4% and the number of positions offered in the match increased by 11.3%. The proportion of US MDs out of all ERAS applicants increased from 56.3% (1,068 of 1,897) in 2020 to 59.2% (1,230 of 2,076) in 2025. The average applications submitted per applicant increased by 30.4%, and the average number of applications received per program increased by 65.8% between 2020 and 2023. Match year 2022 had the greatest value of mean contiguous ranks (14.9), observed magic number (13.2), and normalized magic number (12.2). The number of applications per applicant, applications received by programs, number of interviews, and contiguous ranks have all decreased with the introduction of preference signaling since 2023.
Discussion
Our study results show that there was a significant increase in average applications submitted in the past 5 years, especially between 2018 and 2023. Introduction of preference signaling and geographic preferences in the ERAS application process has achieved the desired effect of reducing congestion given the high volume of applications and interviews. Match competitiveness increased sharply between 2016 and 2018 with no subsequent consistent trend.
{"title":"Recent Trends in Diagnostic Radiology Application and Match Rates","authors":"Dheeman Futela MBBS , Sachi Malhotra , Seyedmehdi Payabvash MD , Dhairya A. Lakhani MD , Dheeraj Gandhi MD , Achala Vagal MD, MS , Max Wintermark MD, MBA , Ajay Malhotra MD, MMM","doi":"10.1016/j.jacr.2025.09.033","DOIUrl":"10.1016/j.jacr.2025.09.033","url":null,"abstract":"<div><h3>Objective</h3><div>We aimed to assess recent trends in diagnostic radiology residency positions, rates of applications per applicant, application burden for programs, match probability rates, and impact of preference signaling on the match process.</div></div><div><h3>Methods</h3><div>The Electronic Residency Application Service (ERAS) national applicant statistics from 2020 to 2025 were used to collect the total number of applicants to diagnostic radiology programs, along with the average applications submitted per applicant and average application count received per program. The biennial National Resident matching Program “Charting Outcomes in the Match” report was used to collect total positions offered in the match, number of applicants who participated in the match with diagnostic radiology as the preferred specialty (active match applicants), number of matched and unmatched applicants, and mean number of contiguous ranks by matched and unmatched applicants.</div></div><div><h3>Results</h3><div>Between 2020 and 2025, the total number of ERAS applicants who applied to diagnostic radiology programs increased by 9.4% and the number of positions offered in the match increased by 11.3%. The proportion of US MDs out of all ERAS applicants increased from 56.3% (1,068 of 1,897) in 2020 to 59.2% (1,230 of 2,076) in 2025. The average applications submitted per applicant increased by 30.4%, and the average number of applications received per program increased by 65.8% between 2020 and 2023. Match year 2022 had the greatest value of mean contiguous ranks (14.9), observed magic number (13.2), and normalized magic number (12.2). The number of applications per applicant, applications received by programs, number of interviews, and contiguous ranks have all decreased with the introduction of preference signaling since 2023.</div></div><div><h3>Discussion</h3><div>Our study results show that there was a significant increase in average applications submitted in the past 5 years, especially between 2018 and 2023. Introduction of preference signaling and geographic preferences in the ERAS application process has achieved the desired effect of reducing congestion given the high volume of applications and interviews. Match competitiveness increased sharply between 2016 and 2018 with no subsequent consistent trend.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 216-224"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240450","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.06.042
Luke R. Wilkins MD, C. Matthew Hawkins MD, Raymond Liu MD, Elizabeth Y. Rula PhD, Robert Lookstein MD
{"title":"Re: “The Changing Landscape of Interventional Radiology: Growth in Nonprocedural Services and Market Dynamics”","authors":"Luke R. Wilkins MD, C. Matthew Hawkins MD, Raymond Liu MD, Elizabeth Y. Rula PhD, Robert Lookstein MD","doi":"10.1016/j.jacr.2025.06.042","DOIUrl":"10.1016/j.jacr.2025.06.042","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 179-180"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765876","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 : 2026-02-01DOI: 10.1016/j.jacr.2025.07.015
Kurt Herzer MD, PhD, MID , Elliot K. Fishman MD , Linda C. Chu MD , Steven P. Rowe MD, PhD , Charles K. Crawford BS
{"title":"Transforming Health Care Value at the Intersection of Technology, Data Science, and Patient Care","authors":"Kurt Herzer MD, PhD, MID , Elliot K. Fishman MD , Linda C. Chu MD , Steven P. Rowe MD, PhD , Charles K. Crawford BS","doi":"10.1016/j.jacr.2025.07.015","DOIUrl":"10.1016/j.jacr.2025.07.015","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 2","pages":"Pages 327-329"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710119","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}
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