American Journal of Roentgenology最新文献

{"title":"Begin With the End in Mind: The Importance of Exit Strategies in Job Searches and Contract Negotiations in Radiology.","authors":"Benjamin E Northrup, Kurt A Schoppe","doi":"10.2214/AJR.25.33604","DOIUrl":"10.2214/AJR.25.33604","url":null,"abstract":"<p><p>Over the past decade, the frequency of job turnover among radiologists has increased. Early-career radiologists in particular change jobs relatively frequently, and thus consideration of contractual obligations and policies that might limit one's ability to do so has become increasingly important. This Viewpoint reviews key items in contracts and employer policies that will impact the radiologist when leaving a prospective job, with a focus on matters important to trainees and early-career radiologists.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expanding the Lens on Subsolid Nodules: Habitat Imaging for Risk Stratification.","authors":"Yung-Liang Wan","doi":"10.2214/AJR.25.33805","DOIUrl":"10.2214/AJR.25.33805","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Turning Anatomy Into Action: Everything You Wanted to Know About Hepatocellular Carcinoma-and Need to Know for Your Next Report.","authors":"Francesca Castagnoli","doi":"10.2214/AJR.25.33791","DOIUrl":"https://doi.org/10.2214/AJR.25.33791","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vesical Imaging Reporting and Data System: Overcoming Barriers to Global Implementation-<i>AJR</i> Expert Panel Narrative Review.","authors":"Ailin Dehghanpour, Matthew S Davenport, Valdair F Muglia, Refky Nicola, Luyao Shen, Atul B Shinagare, Hebert A Vargas, Valeria Panebianco","doi":"10.2214/AJR.25.33634","DOIUrl":"https://doi.org/10.2214/AJR.25.33634","url":null,"abstract":"<p><p>Since its introduction in 2018, the Vesical Imaging Reporting and Data System (VI-RADS) has emerged as a standardized and reproducible framework for multiparametric MRI assessment of bladder cancer, with validated diagnostic accuracy in distinguishing muscle-invasive from non-muscle-invasive disease. Despite growing international interest, expert consensus, and the system's inclusion in most major guidelines, real-world clinical adoption of VI-RADS remains limited. This AJR Expert Panel Narrative Review explores the key barriers that hinder the implementation of VI-RADS into everyday workflows across diverse healthcare settings, including skepticism among referring clinicians, an inability (unlike cystoscopy-based staging) to perform simultaneous tumor resection, suboptimal posttreatment performance, and variability in image quality and reader experience. Additional logistical and economic factors, including restricted access outside of specialized centers and limited cost-effectiveness data, further impair widespread uptake. The article outlines strategic recommendations to address these challenges, including standardizing bladder MRI quality, incorporating structured educational initiatives, refining VI-RADS protocols for posttreatment settings, and fostering multidisciplinary collaboration. VI-RADS has the potential to become a cornerstone of bladder cancer management, but the validation and implementation of a bladder-MRI pathway will depend on continued refinement, acceptance, and alignment across clinical, technical, and guideline domains.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building While Finding Your Footing-From Training to Practice, an <i>AJR</i> Podcast Series (Episode 3).","authors":"Surbhi Raichandani, Amy Patel","doi":"10.2214/AJR.25.33777","DOIUrl":"https://doi.org/10.2214/AJR.25.33777","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Commercial Artificial Intelligence Versus Radiologists: NPV and Recall Rate in Large Population-Based Digital Mammography and Tomosynthesis Screening Mammography Cohorts.","authors":"Iris E Chen, Melissa Joines, Nina Capiro, Reema Dawar, Christopher Sears, James Sayre, James Chalfant, Cheryce Fischer, Anne C Hoyt, William Hsu, Hannah S Milch","doi":"10.2214/AJR.25.32889","DOIUrl":"10.2214/AJR.25.32889","url":null,"abstract":"<p><p><b>Background:</b> By reliably classifying screening mammograms as negative, artificial intelligence (AI) could minimize radiologists' time spent reviewing high volumes of normal examinations and help prioritize examinations with high likelihood of malignancy. <b>Objective:</b> To compare performance of AI, classified as positive at different thresholds, with that of radiologists, focusing on NPV and recall rates, in large population-based digital mammography (DM) and digital breast tomosynthesis (DBT) screening cohorts. <b>Methods:</b> This retrospective single-institution study included women enrolled in the observational population-based Athena Breast Health Network. Stratified random sampling was used to identify cohorts of DM and DBT screening examinations performed from January 2010 through December 2019. Radiologists' interpretations were extracted from clinical reports. A commercial AI system classified examinations as low, intermediate, or elevated risk. Breast cancer diagnoses within 1 year after screening examinations were identified from a state cancer registry. AI and radiologist performance were compared. <b>Results:</b> The DM cohort included 26,693 examinations in 20,409 women (mean age, 58.1 years). AI classified 58.2%, 27.7%, and 14.0% of examinations as low, intermediate, and elevated risk, respectively. Sensitivity, specificity, recall rate and NPV for radiologists were 88.6%, 93.3%, 7.2%, and 99.9%; for AI (defining positive as elevated risk), 74.4%, 86.3%, 14.0%, and 99.8%; and for AI (defining positive as intermediate/elevated risk), 94.0%, 58.6%, 41.8%, and 99.9%. The DBT cohort included 4824 examinations in 4379 women (mean age, 61.3 years). AI classified 68.1%, 19.8%, and 12.1% of examinations as low, intermediate, and elevated risk, respectively. Sensitivity, specificity, recall rate, and NPV for radiologists were 83.8%, 93.7%, 6.9%, and 99.9%; for AI (defining positive results as elevated risk), 78.4%, 88.4%, 12.1%, and 99.8%; and for AI (defining positive results as intermediate/elevated risk), 89.2%, 68.5%, 31.9%, and 99.8%. <b>Conclusion:</b> In large DM and DBT cohorts, AI at either diagnostic threshold achieved high NPV but had higher recall rates than radiologists. Defining positive AI results to include intermediate-risk examinations, versus only elevated-risk examinations, detected additional cancers but yielded markedly increased recall rates. <b>Clinical Impact:</b> The findings support AI's potential to aid radiologists' workflow efficiency. Yet, strategies are needed to address frequent false-positive results, particularly in the intermediate-risk category.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding Key Factors of Pediatric Liver Transplant Is Imperative for Radiologists to Meaningfully Contribute to Multidisciplinary Care.","authors":"Nathan C Hull","doi":"10.2214/AJR.25.33775","DOIUrl":"10.2214/AJR.25.33775","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Training As the Foundation for Responsible Artificial Intelligence Use in Radiology: A Perspective From Industry to Fellowship.","authors":"Eun Kyoung Hong","doi":"10.2214/AJR.25.33797","DOIUrl":"https://doi.org/10.2214/AJR.25.33797","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the <i>AJR</i>: Reevaluating the Impact of Artificial Intelligence on Radiologist Burnout.","authors":"Miriam Chisholm, Kirti Magudia","doi":"10.2214/AJR.25.32713","DOIUrl":"10.2214/AJR.25.32713","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":"e2532713"},"PeriodicalIF":6.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143451063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Global Reading Room: Misty Mesentery on Noncontrast CT.","authors":"Ferco Berger, Choong Wook Lee, Meghan G Lubner, Ingrid Millet","doi":"10.2214/AJR.24.32578","DOIUrl":"10.2214/AJR.24.32578","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":"e2432578"},"PeriodicalIF":6.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}