American Journal of Roentgenology最新文献

{"title":"Beyond the <i>AJR</i>: When Nonmetastatic Disease Is No Longer Nonmetastatic.","authors":"Amir Iravani","doi":"10.2214/AJR.25.32975","DOIUrl":"https://doi.org/10.2214/AJR.25.32975","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712239","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":"CT Colonography for Colorectal Cancer Screening: Challenges and Opportunities for Clinical Integration.","authors":"Francesca Castagnoli","doi":"10.2214/AJR.25.32963","DOIUrl":"https://doi.org/10.2214/AJR.25.32963","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712241","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":"Consensus Reporting Standards for CT, MRI, and MRCP of Pediatric Chronic Pancreatitis.","authors":"Andrew T Trout, Sudha A Anupindi, Lorna P Browne, Megan B Marine, Michael A Murati, Kenneth Ng, Matthew R Plunk, Mitchell A Rees, Judy H Squires, David S Vitale","doi":"10.2214/AJR.25.32706","DOIUrl":"10.2214/AJR.25.32706","url":null,"abstract":"<p><p>Chronic pancreatitis is a fibro-inflammatory syndrome of the pancreas with a prevalence in children of approximately 6 per 100,000. Diagnosis of chronic pancreatitis in a child depends on the presence of imaging findings of chronic pancreatitis in the context of specific clinical features. Currently, a standardized reporting system for imaging findings of chronic pancreatitis in children is lacking, and imaging-based thresholds for abnormality have not been defined. Standardized reporting elements were defined for adults in 2019. Not all of these criteria are directly applicable to children due to recognized changes in the pancreas with normal growth and development. To address the lack of accepted pediatric chronic pancreatitis reporting standards and encourage standardized communication of imaging findings, we convened a group of experienced pediatric radiologists and pediatric gastroenterologists with expertise in pancreatology and interventional endoscopy to define consensus reporting elements and interpretive criteria for findings of pediatric chronic pancreatitis. Based on the existing literature and panel opinion, while leveraging a modified Delphi approach, we propose reporting standards for CT, MRI, and MRCP of pediatric chronic pancreatitis.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712240","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":"Artificial Intelligence as a Safety Net: <i>AJR</i> Podcast Series on Diagnostic Excellence and Error, Episode 10.","authors":"Francis Deng, Benjamin W Strong","doi":"10.2214/AJR.25.32962","DOIUrl":"https://doi.org/10.2214/AJR.25.32962","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712238","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":"Congratulations Distinguished Reviewers.","authors":"","doi":"10.2214/AJR.24.32551","DOIUrl":"https://doi.org/10.2214/AJR.24.32551","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":"1"},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733393","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":"Long-Term Prognostic Implications of Thoracic Aortic Calcification on CT Using Artificial Intelligence-Based Quantification in a Screening Population: A Two-Center Study.","authors":"Jong Eun Lee, Na Young Kim, Yun-Hyeon Kim, Yonghan Kwon, Sihwan Kim, Kyunghwa Han, Young Joo Suh","doi":"10.2214/AJR.25.32697","DOIUrl":"10.2214/AJR.25.32697","url":null,"abstract":"<p><p><b>Background:</b> The importance of including thoracic aortic calcification (TAC), in addition to coronary artery calcification (CAC), in prognostic assessments has been difficult to determine, partly due to greater challenge in performing standardized TAC assessments. <b>Objective:</b> To evaluate long-term prognostic implications of TAC assessed using artificial intelligence (AI)-based quantification on routine chest CT in a screening population. <b>Methods:</b> This retrospective study included 7404 asymptomatic individuals (median age, 53.9 years; 5875 male, 1529 female) who underwent nongated noncontrast chest CT as part of a national general health screening program at one of two centers from January 2007 to December 2014. A commercial AI program quantified TAC and CAC using Agatston scores, which were stratified into categories. Radiologists manually quantified TAC and CAC in 2567 examinations. The role of AI-based TAC categories in predicting major adverse cardiovascular events (MACE) and all-cause mortality (ACM), independent of AI-based CAC categories as well as clinical and laboratory variables, was assessed by multivariable Cox proportional hazards models using data from both centers and C-statistics from prognostic models developed and tested using center 1 and center 2 data, respectively. <b>Results:</b> AI-based and manual quantification showed excellent agreement for TAC and CAC (concordance correlation coefficient: 0.967 and 0.895, respectively). Median observation periods were 7.5 years for MACE (383 events in 5343 individuals) and 11.0 years for ACM (292 events in 7404 individuals). Adjusting for AI-based CAC categories along with clinical and laboratory variables, risk for MACE was not independently associated with any AI-based TAC category; risk of ACM was independently associated with AI-based TAC score of 1001-3000 (HR=2.14, p=.02), but not other AI-based TAC categories. In testing prognostic models, addition of AI-based TAC categories did not improve model fit relative to models containing clinical variables, laboratory variables, and AI-based CAC categories for MACE (C-index from 0.760 to 0.760, p=.81) or ACM (C-index from 0.823 to 0.830, p=.32). <b>Conclusion:</b> The addition of TAC to models containing CAC provided limited improvement in risk prediction in an asymptomatic screening population undergoing. <b>Clinical Impact:</b> AI-based quantification provides a standardized approach for better understanding the potential role of TAC as a predictive imaging biomarker.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712242","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":"Radiology and the Innovator's Dilemma: Is Disruption on the Horizon?","authors":"David Ruohoniemi, Arun Krishnaraj","doi":"10.2214/AJR.25.32820","DOIUrl":"https://doi.org/10.2214/AJR.25.32820","url":null,"abstract":"<p><p>Radiology is experiencing a growing workforce shortage, presenting opportunity for disruption by nonphysician practitioners (NPPs) and artificial intelligence (AI). According to Christensen's Innovator's Dilemma, disruptors typically serve low-demand markets before advancing further. AI enhances NPPs' capabilities, potentially commoditizing radiology. To counter this disruption, radiologists must incorporate AI as a sustaining innovation and redefine their roles beyond simple image interpretation. Proactive adaptation will determine whether radiologists can maintain their value or yield ground to emerging competitors.</p>","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712243","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":"Thin-Slice Preoperative CT May Decrease the Likelihood of Aborted Whipple Procedures in Patients With Periampullary Adenocarcinoma.","authors":"Daniel R Ludwig","doi":"10.2214/AJR.25.32899","DOIUrl":"https://doi.org/10.2214/AJR.25.32899","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712244","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>: Updated Guidelines on the Appropriate Use of Amyloid and Tau PET in Clinical Practice.","authors":"Gloria C Chiang","doi":"10.2214/AJR.25.32946","DOIUrl":"https://doi.org/10.2214/AJR.25.32946","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659953","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":"Does Biparametric Prostate MRI Have Sufficient Robust Evidence to Support Use in Routine Clinical Practice?","authors":"Christopher S Lim","doi":"10.2214/AJR.25.32934","DOIUrl":"https://doi.org/10.2214/AJR.25.32934","url":null,"abstract":"","PeriodicalId":55529,"journal":{"name":"American Journal of Roentgenology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659956","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}