Journal of the American College of Radiology最新文献

{"title":"Patient-Friendly Summary of the ACR Appropriateness Criteria®: Anorectal Disease","authors":"Sania Choudhary, David H. Kim MD","doi":"10.1016/j.jacr.2026.04.012","DOIUrl":"10.1016/j.jacr.2026.04.012","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Page 1886"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791437","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":"“Accuracy or Agreement?” Reconsidering the Use of Artificial Intelligence as a Reference Standard in Head CT Reformatting","authors":"Zhihao Lei MPS","doi":"10.1016/j.jacr.2026.04.026","DOIUrl":"10.1016/j.jacr.2026.04.026","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Page 1835"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148177207","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":"Efficiency and Financial Gains From Artificial Intelligence Algorithm Implementation","authors":"Miriam A. Bredella MD, MBA, Nazish Ilyas MD, Katie Tobin MS, Steven Chatfield MBA, Michael P. Recht MD","doi":"10.1016/j.jacr.2026.06.013","DOIUrl":"10.1016/j.jacr.2026.06.013","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Pages 1856-1860"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148414057","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®: Staging and Follow-Up of Leukemia","authors":"Yash Sachin Saboo, Sherry S. Wang MBBS","doi":"10.1016/j.jacr.2026.04.017","DOIUrl":"10.1016/j.jacr.2026.04.017","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Page 1884"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147791379","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":"Beyond the Baby Blues: Transforming Maternal Mental Health","authors":"Tina Keshani MBA, Elliot K. Fishman MD, Linda C. Chu MD, Steven P. Rowe MD, PhD, Connor W. Smith ScB","doi":"10.1016/j.jacr.2026.05.004","DOIUrl":"10.1016/j.jacr.2026.05.004","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Pages 1867-1869"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147870473","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":"Identifying and Categorizing Diagnostic Errors in Abdominal Imaging Using a Diagnostic Imaging-Specific Annotation Process","authors":"Ronilda Lacson MD, PhD,&nbsp;Kristine S. Burk MD,&nbsp;Jeffrey P. Guenette MD, MPH,&nbsp;Pamela J. DiPiro MD,&nbsp;Ariadne DeSimone MD, MPH,&nbsp;Nicole Vetrano MHA, RT,&nbsp;Ishani Ganguli MD, MPH,&nbsp;David W. Bates MD,&nbsp;Ramin Khorasani MD, MPH","doi":"10.1016/j.jacr.2026.06.006","DOIUrl":"10.1016/j.jacr.2026.06.006","url":null,"abstract":"<div><h3>Objective</h3><div>This initiative aimed to identify and classify contributory factors to diagnostic errors in abdominal imaging using an annotation process to identify, quantify, and categorize process-related errors.</div></div><div><h3>Methods</h3><div>This was a retrospective, quality improvement, institutional review board–approved study conducted at an academic health system on 200 randomly selected adult patients who completed abdominal diagnostic imaging examinations between January 1, 2022, and December 31, 2022, in which a radiologist recommended additional imaging. We used an expert panel to develop a taxonomy based on two previously described taxonomies for process-related errors. We then applied an iterative process to train annotators to apply the taxonomy and assess medical records for diagnostic errors. We assessed the proportion of patients with diagnostic errors, as well as interrater reliability in classifying contributory factors. We also measured percentage agreement in identifying diagnostic errors using an annotation taxonomy versus a gold standard developed by two abdominal radiologists.</div></div><div><h3>Results</h3><div>The final sample included 185 patients. A total of 14.6% (27 of 185; 95% confidence interval 10.2%-20.4%) patients undergoing abdominal imaging experienced at least one diagnostic error. Interannotator agreement with the gold standard increased from 61.1% (33 of 54) at baseline for 5 reviewers to 80% (40 of 50) (χ² <em>P</em> = .04) after four rounds of annotation. “Delay in performing ordered test(s)” is the major contributory factor to diagnostic errors.</div></div><div><h3>Discussion</h3><div>Process-related diagnostic errors occurred in almost one in seven patients undergoing abdominal imaging with recommended additional imaging. After iterative training, an annotation process for identifying patients who have imaging diagnostic errors achieved significant interannotator agreement compared with a gold standard of radiology specialist review.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Pages 1837-1846"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148213738","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":"Radiology Preparedness for the 2026 FIFA World Cup and the Los Angeles 2028 Olympic Games: Lessons From Previous Major Sporting Events","authors":"Jonathan Lee MD,&nbsp;Eric D. Cyphers DO, MS,&nbsp;Jihoon Lim MD,&nbsp;Harris Liou MD,&nbsp;Ali Gholamrezanezhad MD","doi":"10.1016/j.jacr.2026.06.009","DOIUrl":"10.1016/j.jacr.2026.06.009","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Pages 1861-1863"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148284991","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":"Supply Chain Vulnerabilities in Breast Imaging: Site- and Network-Level Strategies for a Concentrated Consumable Market","authors":"Nita Kommula MD,&nbsp;Ravinder S. Legha MD,&nbsp;Ray Cody Mayo MD,&nbsp;Huong T. Le-Petross MD,&nbsp;Kanchan A. Phalak MD,&nbsp;Megan E. Speer MD,&nbsp;Kyungmin Shin MD,&nbsp;Megan Kalambo MD, MBA","doi":"10.1016/j.jacr.2026.06.012","DOIUrl":"10.1016/j.jacr.2026.06.012","url":null,"abstract":"<div><h3>Background</h3><div>Image-guided vacuum-assisted biopsy is the standard of care for sampling suspicious breast lesions and depends on single-use, vendor-proprietary consumables produced by a concentrated set of manufacturers. The January 2026 Hologic Brevera 9-gauge needle recall and the subsequent FDA shortage designation exposed the fragility of this supply chain.</div></div><div><h3>Purpose</h3><div>To examine the three principal strategies available to breast imaging programs for mitigating consumable supply disruptions (strategic inventory stockpiling, vendor diversification, and protocol and procurement standardization) and to describe how standardization functions as the connective infrastructure enabling the other two at network scale.</div></div><div><h3>Conclusions</h3><div>Stockpiling provides an immediate operational buffer; vendor diversification eliminates structural single-source dependency; standardization allows both to operate consistently across distributed sites. No single strategy is sufficient alone. Enterprise-scale measures such as cross-site inventory redistribution presuppose centralized governance and resources, and continuity planning should hold community sites to the same standard as the primary campus.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Pages 1851-1855"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148304370","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":"ACR Appropriateness Criteria® Myelopathy: 2026 Update","authors":"Expert Panel on Neurological Imaging,&nbsp;Miriam Peckham MD,&nbsp;Troy A. Hutchins MD,&nbsp;Timothy J. Amrhein MD,&nbsp;Rami W. Eldaya MD, MBA,&nbsp;Allison Grayev MD,&nbsp;Brent Griffith MD,&nbsp;Alvand Hassankhani MD,&nbsp;Marcus Mazur MD,&nbsp;Jacob Ormsby MD, MBA,&nbsp;Omar Parvez MD,&nbsp;Charles Reitman MD,&nbsp;Nicholas Spina MD,&nbsp;Michel Toledano MD,&nbsp;Guhanand Venkataraman MD,&nbsp;Noushin Yahyavi-Firouz-Abadi MD, MBA,&nbsp;Robert Y. Shih MD","doi":"10.1016/j.jacr.2026.06.003","DOIUrl":"10.1016/j.jacr.2026.06.003","url":null,"abstract":"<div><div>Myelopathy, a clinical diagnosis of spinal cord dysfunction, necessitates appropriate imaging to differentiate between extrinsic and intrinsic pathologies. This document outlines evidence-based guidelines for imaging evaluation of acute, chronic, and vascular etiologies for myelopathy. These criteria provide an imaging framework to guide surgical or medical intervention.</div><div>The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.</div></div>","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Pages 1870-1883"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148310562","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":"ACR Appropriateness Criteria for Penetrating Torso Trauma: Considerations for the Evolving Military Threat Environment","authors":"Jonathon Schutt DO,&nbsp;Michelle Li BS,&nbsp;Christopher Yeisley MD,&nbsp;John Pavlus MD","doi":"10.1016/j.jacr.2026.04.025","DOIUrl":"10.1016/j.jacr.2026.04.025","url":null,"abstract":"","PeriodicalId":49044,"journal":{"name":"Journal of the American College of Radiology","volume":"23 9","pages":"Pages 1833-1834"},"PeriodicalIF":5.3,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148201430","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}