Journal of the American College of Radiology最新文献

{"title":"The US Government’s Latest Presidential Executive Order on Artificial Intelligence: Potential Implications in Radiology","authors":"","doi":"10.1016/j.jacr.2024.04.002","DOIUrl":"10.1016/j.jacr.2024.04.002","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140778250","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":"Disparities in Study Inclusion and Breast Cancer Screening Rates Among Transgender People: A Systematic Review","authors":"","doi":"10.1016/j.jacr.2024.04.006","DOIUrl":"10.1016/j.jacr.2024.04.006","url":null,"abstract":"<div><h3>Background</h3><p>Breast cancer screening trends of transgender and gender diverse (TGD) people remain largely unknown. This is concerning, as data are necessary to inform recommendations made by clinicians to their patients and by national guidelines to clinicians. The aim of this review is to explore the state of existing research literature and provide a summary report of current breast cancer screening rates in TGD adults.</p></div><div><h3>Methods</h3><p>All articles were identified using Medical Subject Headings terms. Inclusion criteria were all the following: (1) documents inclusion of at least one participant who identifies as a TGD person; (2) at least one TGD participant with top surgery or currently receiving estrogen-based gender-affirming hormone therapy; (3) results that report rates of breast cancer screening or mammogram referral.</p></div><div><h3>Results</h3><p>Twelve articles met inclusion criteria, six cross-sectional studies and six retrospective chart reviews. Three studies conducted secondary analysis of the Behavioral Risk Factor Surveillance System national dataset, and nine articles recruited their own sample with number of TGD participants ranging from 30 to 1,822 and number of cisgender women ranging from 242 to 18,275. Three studies found lower rates of screening in transfeminine persons receiving gender-affirming care compared with cisgender women; two studies found lower rates among TGD people compared with cisgender women; and three studies found no differences between the breast cancer screening rates of TGD and cisgender participants.</p></div><div><h3>Conclusion</h3><p>Limited studies recruit and report trends in breast cancer screening of TGD people. Those that do include TGD participants have mixed results, but overall TGD people had lower rates of breast cancer screening. More research is needed regarding breast cancer screening of TGD people to inform the development of protocols that ensure equitable access to preventative care.</p></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140762115","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 Model for Predicting Clinically Significant Prostate Cancer Using Prostate MRI and Risk Factors","authors":"","doi":"10.1016/j.jacr.2024.02.035","DOIUrl":"10.1016/j.jacr.2024.02.035","url":null,"abstract":"<div><h3>Purpose</h3><p>The aim of this study was to develop and validate a predictive model for clinically significant prostate cancer (csPCa) using prostate MRI and patient risk factors.</p></div><div><h3>Methods</h3><p>In total, 960 men who underwent MRI from 2015 to 2019 and biopsy either 6 months before or 6 months after MRI were identified. Men diagnosed with csPCa were identified, and csPCa risk was modeled using known patient factors (age, race, and prostate-specific antigen [PSA] level) and prostate MRI findings (location, Prostate Imaging Reporting and Data System score, extraprostatic extension, dominant lesion size, and PSA density). csPCa was defined as Gleason score<span> sum ≥ 7. Using a derivation cohort, a multivariable logistic regression model and a point-based scoring system were developed to predict csPCa. Discrimination and calibration were assessed in a separate independent validation cohort.</span></p></div><div><h3>Results</h3><p>Among 960 MRI reports, 552 (57.5%) were from men diagnosed with csPCa. Using the derivation cohort (n = 632), variables that predicted csPCa were Prostate Imaging Reporting and Data System scores of 4 and 5, the presence of extraprostatic extension, and elevated PSA density. Evaluation using the validation cohort (n = 328) resulted in an area under the curve of 0.77, with adequate calibration (Hosmer-Lemeshow <em>P</em> = .58). At a risk threshold of &gt;2 points, the model identified csPCa with sensitivity of 98.4% and negative predictive value of 78.6% but prevented only 4.3% potential biopsies (0-2 points; 14 of 328). At a higher threshold of &gt;5 points, the model identified csPCa with sensitivity of 89.5% and negative predictive value of 70.1% and avoided 20.4% of biopsies (0-5 points; 67 of 328).</p></div><div><h3>Conclusions</h3><p>The point-based model reported here can potentially identify a vast majority of men at risk for csPCa, while avoiding biopsy in about 1 in 5 men with elevated PSA levels.</p></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140892994","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":"Patient-Friendly Summary of the ACR Appropriateness Criteria®: Imaging of Invasive Breast Cancer","authors":"","doi":"10.1016/j.jacr.2024.04.015","DOIUrl":"10.1016/j.jacr.2024.04.015","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1546144024004289/pdfft?md5=97248da7ff381713213b87c43b13428c&pid=1-s2.0-S1546144024004289-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140917641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Digital Disruption: YouTube’s Role in Information on Radiology Residency","authors":"","doi":"10.1016/j.jacr.2024.05.010","DOIUrl":"10.1016/j.jacr.2024.05.010","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141332686","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":"Analysis of Longitudinal Assessment: Role of Radiology Online Longitudinal Assessment–Type Questions","authors":"","doi":"10.1016/j.jacr.2024.03.011","DOIUrl":"10.1016/j.jacr.2024.03.011","url":null,"abstract":"<div><h3>Objective</h3><p>The purpose of this investigation was to assess gaps in radiologists’ medical knowledge using abdominal subspecialty online longitudinal assessment (OLA)-type questions. Secondarily, we evaluated what question-centric factors influenced radiologists to pursue self-directed additional reading on topics presented.</p></div><div><h3>Methods</h3><p>A prospective OLA-type test was distributed nationally to radiologists over a 4-month period. Questions were divided into multiple groupings, including arising from three different time periods of literature (≤5 years, 6-15 years, and &gt;20 years), relating to common versus uncommon modalities, and guideline-based versus knowledge-based characterization. After each question, participants rated their confidence in diagnosis and perceived question relevance. Answers were provided, and links to answer explanations and references were provided and tracked. A series of regression models were used to test potential predictors of correct response, participant confidence, and perceived question relevance.</p></div><div><h3>Results</h3><p>In all, 119 participants initiated the survey, with 100 answering at least one of the questions. Participants had significantly lower perceived relevance (mean: 51.3, 59.2, and 62.1 for topics ≤5 years old, 6-15 years old, and &gt;20 years old, respectively; <em>P</em> &lt; .001) and confidence (mean: 48.4, 57.8, and 63.4, respectively; <em>P</em> &lt; .001) with questions on newer literature compared with older literature. Participants were significantly more likely to read question explanations for questions on common modalities compared with uncommon (46% versus 40%; <em>P</em> = .005) and on guideline-based questions compared with knowledge-based questions (49% versus 43%; <em>P</em> = .01).</p></div><div><h3>Discussion</h3><p>OLA-type questions function by identifying areas in which radiologists lack knowledge or confidence and highlight areas in which participants have interest in further education.</p></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1546144024002990/pdfft?md5=8f26f794530433dc37b4c180a7e4d2da&pid=1-s2.0-S1546144024002990-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140289839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attempting to Improve Prostate MR Image Quality at Scale Through the ACR Learning Network","authors":"","doi":"10.1016/j.jacr.2024.03.018","DOIUrl":"10.1016/j.jacr.2024.03.018","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1546144024004150/pdfft?md5=291367f4bd223087de2287a2c8ffadc2&pid=1-s2.0-S1546144024004150-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140854632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Future Potential Challenges of Using Large Language Models Like ChatGPT in Daily Medical Practice: Let Us Address Them and See the Bright Side","authors":"","doi":"10.1016/j.jacr.2023.12.033","DOIUrl":"10.1016/j.jacr.2023.12.033","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140289842","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":"Teach the Mentor: A Six-Session Program Universally Improves Mentorship Skills Among a Diverse Group of Radiology Faculty","authors":"","doi":"10.1016/j.jacr.2024.01.001","DOIUrl":"10.1016/j.jacr.2024.01.001","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139460670","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":"Associations of State Supplemental Nutrition Assistance Program Eligibility Policies With Mammography","authors":"","doi":"10.1016/j.jacr.2024.04.028","DOIUrl":"10.1016/j.jacr.2024.04.028","url":null,"abstract":"<div><h3>Purpose</h3><p>The Supplemental Nutrition Assistance Program (SNAP) addresses food insecurity for low-income households, which is associated with access to care. Many US states expanded SNAP access through policies eliminating the asset test (ie, restrictions based on SNAP applicant assets) and/or broadening income eligibility. The objective of this study was to determine whether state SNAP policies were associated with the use of mammography among women eligible for breast cancer screening.</p></div><div><h3>Methods</h3><p>Data for income-eligible women 40 to 79 years of age were obtained from the 2006 to 2019 Behavioral Risk Factor Surveillance System. Difference-in-differences analyses were conducted to compare changes in the percentage of mammography in the past year from pre- to post-SNAP policy adoption (asset test elimination or income eligibility increase) between states that and did not adopt policies expanding SNAP eligibility.</p></div><div><h3>Results</h3><p>In total, 171,684 and 294,647 income-eligible female respondents were included for the asset test elimination policy and income eligibility increase policy analyses, respectively. Mammography within 1 year was reported by 58.4%. Twenty-eight and 22 states adopted SNAP asset test elimination and income increase policies, respectively. Adoption of asset test elimination policies was associated with a 2.11 (95% confidence interval [CI], 0.07-4.15; <em>P</em> = .043) percentage point increase in mammography received within 1 year, particularly for nonmetropolitan residents (4.14 percentage points; 95% CI, 1.07-7.21 percentage points; <em>P</em> = .008), those with household incomes &lt;$25,000 (2.82 percentage points; 95% CI, 0.68-4.97 percentage points; <em>P</em> = .01), and those residing in states in the South (3.08 percentage points; 95% CI, 0.17-5.99 percentage points; <em>P</em> = .038) or that did not expand Medicaid under the Patient Protection and Affordable Care Act (3.35 percentage points; 95% CI, 0.36-6.34; <em>P</em> = .028). There was no significant association between mammography and state-level policies broadening of SNAP income eligibility.</p></div><div><h3>Conclusions</h3><p>State policies eliminating asset test requirements for SNAP eligibility were associated with increased mammography among low-income women eligible for breast cancer screening, particularly for those in the lowest income bracket or residing in nonmetropolitan areas or Medicaid nonexpansion states.</p></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1546144024004526/pdfft?md5=2399d50c6211191e773fb0052bd9c601&pid=1-s2.0-S1546144024004526-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141397825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}