AJR
@ajrradiology.bsky.social
📤 1646
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The world’s longest continuously published general radiology journal.
Radiology AI research quality faces valid scrutiny, but widespread clinical deployment and FDA authorizations highlight its maturity. Continued validation ensures future tools will measurably improve patient care:
www.ajronline.org/doi/10.2214/...
1 day ago
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The Point authors argue that undisclosed analytic flexibility and p-hacking structurally compromise the evidence base in radiology AI research, calling for mandatory disclosure of the full analytic search space to ensure epistemic integrity.
www.ajronline.org/doi/10.2214/...
1 day ago
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Isabel Newton, MD, PhD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss filmmaking lessons from her experience creating the award-winning docuseries Without a Scalpel, global partnerships while filming in Tanzania, and much more!
www.ajronline.org/doi/10.2214/...
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What it Takes to Direct With a Doctor's Eye—Radiology Trailblazers, an AJR Podcast Series (Episode 12) | AJR
Summary Have you heard about the Interventional Initiative? Isabel Newton, MD, PhD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss filmmaking lessons from her experience creating the award-winning docuseries Without a Scalpel, global partnerships while filming in Tanzania, and fostering patient access for minimally invasive care options.
https://www.ajronline.org/doi/10.2214/AJR.26.35344
4 days ago
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In this article, radiologists from various countries explore the shift toward using the term bronchiolocentric interstitial pneumonia over hypersensitivity pneumonitis for specific CT patterns to better facilitate multidisciplinary diagnosis.
www.ajronline.org/doi/10.2214/...
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Considering Use of the Term “Bronchiolocentric Interstitial Pneumonia” on Chest CT | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.35338
6 days ago
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This review provides guidance on the pathophysiologic spectrum, CT protocol optimization, and diagnostic pathway for mesenteric ischemia, including a framework for the progression of findings in occlusive arterial acute mesenteric ischemia.
www.ajronline.org/doi/10.2214/...
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Mesenteric Ischemia: 2026 Update—AJR Expert Panel Narrative Review | AJR
Mesenteric ischemia (MI) represents a spectrum of vascular intestinal injuries for which delayed diagnosis remains the leading determinant of outcomes. Despite advances in multidetector CTA technology and endovascular therapy, substantial variation persists in how mesenteric ischemia is defined, imaged, interpreted, and incorporated into clinical pathways. This AJR Expert Panel Narrative Review provides radiologists with pragmatic guidance for mesenteric ischemia evaluation on imaging. Key issues considered include the pathophysiologic spectrum and diagnosis of acute mesenteric ischemia (AMI); CT protocol optimization (including the role of spectral CT); vascular pathologies that lead to occlusive or nonocclusive AMI; CT features associated with ischemia and necrosis; scoring systems for estimating necrosis likelihood; interventional and surgical management; evaluation of postischemic reperfusion; chronic mesenteric ischemia; and the emerging role of dedicated mesenteric stroke centers in reducing time to revascularization. A simplified four-phase framework is presented to illustrate the temporal progression of CT findings in occlusive arterial AMI from occlusion without visible bowel ischemia, to early ischemia, late ischemia, and irreversible transmural necrosis. The article concludes with consensus statements addressing image acquisition, interpretation, and reporting, with the aim of supporting radiologists who serve as first-line decision makers in the diagnosis and management of mesenteric ischemia.
https://www.ajronline.org/doi/10.2214/AJR.26.34932
7 days ago
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Scott Simpson, DO, MSEd, speaks with host Surbhi Raichandani, MD, about radiology readout frameworks, formative feedback, workflow-conscious teaching, and preparation of trainees for independent practice in modern radiology.
www.ajronline.org/doi/10.2214/...
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Passing the Torch: Teaching, Readouts, and the Making of a Radiologist—From Training to Practice (Episode 12) | AJR
Summary How do we teach effectively without sacrificing efficiency or burning out? Scott Simpson, DO, MSEd, speaks with host Surbhi Raichandani, MD, about radiology readout frameworks, formative feedback, workflow-conscious teaching, and preparation of trainees for independent practice in modern radiology.
https://www.ajronline.org/doi/10.2214/AJR.26.35304
8 days ago
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This Perspective details how deep learning reconstruction delivers rapid, high-quality musculoskeletal MRI protocols.
www.ajronline.org/doi/10.2214/...
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Rapid Musculoskeletal MRI in 2026: Clinical Integration of Deep Learning Reconstruction | AJR
Advances in MRI hardware and acceleration strategies have enabled substantial reductions in musculoskeletal MRI acquisition times over the past decade. Advanced acceleration techniques have facilitated four- to eightfold acceleration but are often limited by noise amplification and reconstruction artifacts at higher acceleration factors. The clinical introduction of deep learning (DL)-based image reconstruction addresses traditional constraints by improving SNRs, reducing artifacts, and enhancing image quality, thereby enabling higher acceleration factors than previously achievable with conventional reconstruction methods. DL reconstruction and superresolution techniques allow comprehensive musculoskeletal MRI protocols to be performed in less than 10 minutes across a range of applications, field strengths, and vendors. Successful implementation requires consideration of hardware capabilities, anatomic constraints, protocol design, and workflow adaptation to fully realize efficiency gains. In addition to technical factors, operational considerations—including scheduling logistics and infrastructure adjustments—are important to translate scan time reductions into clinical value. Early validation studies show preserved or improved diagnostic performance of DL-accelerated MRI compared with conventional protocols, supporting their growing integration into clinical practice. Continued technical development and clinical validation will further define the role of DL reconstruction and potentially facilitate even greater acceleration and efficiency gains.
https://www.ajronline.org/doi/10.2214/AJR.26.35077
9 days ago
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Exciting News! AJR's 2025 Impact Factor is 7.4! This places us at the 94.2nd percentile among imaging journals, our best-ever ranking. We extend immense gratitude to our authors, reviewers, editors, and staff for making this possible.
9 days ago
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This essential review of BI-RADS v2025 highlights new lexicon terms and cross-modality reporting changes.
www.ajronline.org/doi/10.2214/...
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BI-RADS v2025: Key Updates and Implications for Breast Imaging Practice | AJR
BI-RADS v2025 updates the established BI-RADS framework to reflect contemporary breast imaging practice across mammography, ultrasound, MRI, and contrast-enhanced mammography (CEM). This review summarizes the principal cross-modality and modality-specific changes introduced in the new Manual and discusses their implications for interpretation, reporting, multidisciplinary communications, and audits, with an emphasis on new descriptor terminology, assessment clarifications, and modality comparisons. Key cross-modality updates include structured clinical indication categories, revised and standardized report organization, harmonized terminology, refined morphologic descriptors, refined assessment categories (e.g., clarification of BI-RADS categories 0 and 6; introduction of BI-RADS 4 subclassification for breast MRI to mirror other modalities), structured lesion localization, tissue composition assessment, lymph node reporting, and expanded audit methodology. Modality-specific changes include refined mammographic characterization for digital breast tomosynthesis, revised calcification terminology, recognition of nonmass lesions and perilesional echogenic features for ultrasound, introduction of enhancement and T2-related descriptors for MRI, and formal incorporation of CEM into the BI-RADS reporting framework. Overall, BI-RADS v2025 preserves the core principles of prior editions of structured reporting, evidence-based assessment categories, and linkage between imaging findings and management recommendations while improving reporting consistency and reproducibility, cross-modality correlation, and auditability and performance monitoring across the full spectrum of breast imaging modalities.
https://www.ajronline.org/doi/10.2214/AJR.26.35051
10 days ago
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This AJR Expert Panel Narrative Review explores the status of histotripsy for liver tumor ablation, outlining supporting evidence, technical considerations, and emerging applications.
www.ajronline.org/doi/10.2214/...
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Histotripsy for Liver Tumor Ablation and Beyond: AJR Expert Panel Narrative Review | AJR
Histotripsy was cleared by the FDA for liver tumor ablation in October 2023. The technology uses short-duration high-amplitude low-duty-cycle ultrasound waves, converging these focally to cause tissue cavitation. This process results in liquification of a defined treatment volume into a lysate while sparing surrounding tissues. The technology is noninvasive (i.e., no skin puncture) and nonthermal and does not produce ionizing radiation. These procedural characteristics and early direct-to-patient marketing contributed to growth in patient interest and clinical adoption of histotripsy for liver tumor ablation despite lagging clinical evidence. Specifically, although histotripsy is supported by substantial preclinical porcine data, the published clinical evidence on histotripsy for liver tumor ablation in humans has focused on technical performance, safety, and early response (i.e., within 3 months postprocedure), in small highly selected populations, and level 1 evidence incorporating long-term oncologic outcomes remains lacking. This AJR Expert Panel Narrative Review explores the current status of histotripsy for liver tumor ablation, addressing the technology's preclinical background, supporting clinical evidence, technical considerations for implementation including patient selection, the potential for immunomodulation, and emerging extrahepatic applications.
https://www.ajronline.org/doi/10.2214/AJR.26.34627
11 days ago
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The Editor’s Notebook provides readers with highlights of articles in this month’s issue of AJR.
www.ajronline.org/doi/10.2214/...
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May 2026: RadLex Expansion, Breast MRI Metrics, CT LI-RADS, and More | AJR
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https://www.ajronline.org/doi/10.2214/AJR.25.33517
22 days ago
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This essential review of BI-RADS v2025 highlights new lexicon terms and cross-modality reporting changes.
www.ajronline.org/doi/10.2214/...
22 days ago
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What does it take to shape the specialty...beyond the reading room? Richard Duszak speaks with host Siddhant Dogra about his journey from private practice to national leadership, founding a health policy institute, advancing academic radiology, and more.
www.ajronline.org/doi/10.2214/...
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From Private Practice to National Policy Leadership—Career Pivots, an AJR Podcast Series (Episode 11) | AJR
Summary What does it take to shape radiology beyond the reading room? Richard Duszak, MD, speaks with host Siddhant Dogra, MD, about his journey from private practice to national leadership, founding a health policy institute, advancing academic radiology, and championing leadership development across the specialty.
https://www.ajronline.org/doi/10.2214/AJR.26.35262
23 days ago
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Examining a math model showing high rates of papillary thyroid cancer overdiagnosis, this commentary advocates for a multidisciplinary approach and national adherence to TI-RADS guidelines.
www.ajronline.org/doi/10.2214/...
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Determining Papillary Thyroid Cancer Overdiagnosis Requires a Multidisciplinary Approach | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.35172
24 days ago
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The ACR's Relevance and Impact Committee introduces a novel framework using imaging provenance and relevance to bridge the gap between radiology performance and patient-oriented outcomes.
www.ajronline.org/doi/10.2214/...
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Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care—A Perspective by the ACR's Relevance and Impact Committee | AJR
Radiology strongly impacts patient care. However, radiologists' potential to promote high-value care has long been underappreciated, partly related to difficulties in establishing their role in driving patient-oriented outcomes (e.g., reduced morbidity and mortality; improved quality of life). Recognizing this gap, the American College of Radiology convened the Relevance and Impact Committee to develop a framework for measuring radiologists' impact. The committee proposed two foundational concepts: diagnostic imaging provenance (the lineage underlying a diagnosis being established) and relevance (the manner in which a diagnosis relates to upstream reasons for examinations and downstream decision-making). The committee applied these concepts to develop the medical imaging life cycle framework as a patient and practitioner centric feedback loop whereby each examination serves as a potential care inflection point and pertinent positive and negative findings alter patient trajectories. Advances in data science, including large-scale EHR-driven analyses and generative artificial intelligence, now aid tracking of such relationships, helping to operationalize a longstanding vision of linking imaging to outcomes. This Perspective explores these core concepts and terminology underlying measurement of radiology's impact and seeks to provide a roadmap for their implementation within modern healthcare systems. Such application will promote radiologists' recognition as proximal agents of clinically impactful high-value care.
https://www.ajronline.org/doi/10.2214/AJR.26.34767
25 days ago
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Mission control, we need a read! Michael Pohlen, MD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss his incredible journey into space medicine.
www.ajronline.org/doi/10.2214/...
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What It Takes to Reach the Final Frontier of Space Radiology—Radiology Trailblazers, an AJR Podcast Series (Episode 11) | AJR
Summary Mission control, we need a read! Michael Pohlen, MD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss his incredible journey into space medicine, including engagement with the team leading the first radiograph obtained in space, medical conditions occurring during weightlessness, and the commercial shift into space research.
https://www.ajronline.org/doi/10.2214/AJR.26.35166
about 1 month ago
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This commentary discusses the landmark MASAI randomized trial, which compared a single-reader mammography workflow using AI with double reading without AI.
www.ajronline.org/doi/10.2214/...
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The Time for Artificial Intelligence Has Come for Screening Mammography | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.35088
about 1 month ago
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This commentary discusses Merlin, a native 3D foundation model for abdominal CT with broad diagnostic and prognostic capabilities.
www.ajronline.org/doi/10.2214/...
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General Purpose Artificial Intelligence for Abdominal CT Using a 3D Vision-Language Foundation Model | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.35179
about 1 month ago
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To bridge the AI trust gap, this Perspective proposes a framework for explainable AI based on technical robustness, user adaptation, and alignment with clinical tasks.
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Explainable Artificial Intelligence (AI) for Medical Imaging: A Framework for Bridging the AI Trust Gap | AJR
Artificial intelligence (AI) is increasingly used in healthcare but often lacks clinician and patient trust. Explainable AI (XAI) aims to clarify predictions and to make AI decisions more transparent, interpretable, and clinically actionable. Yet, current methods fall short. In this Perspective, we argue that, for XAI to be clinically useful in medical imaging and to build trust with clinicians, it must satisfy three guiding principles: technical robustness, adaptation to end users, and alignment of explanations with the specific clinical task. We introduce a conceptual framework, incorporating these principles, to guide future XAI design and deployment based on expectations and shared responsibilities for developers, vendors, and healthcare institutions. By ensuring robustness, personalizing outputs, and aligning explanations with use cases, XAI can move beyond one-size-fits-all approaches to task- and user-centered design, to support effective and trustworthy AI adoption in healthcare.
https://www.ajronline.org/doi/10.2214/AJR.26.34829
about 1 month ago
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Implementation of PCD CT offers a leap in cardiothoracic imaging, providing superior spatial resolution and spectral information while potentially reducing radiation and contrast media doses.
www.ajronline.org/doi/10.2214/...
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Photon-Counting Detector CT in Cardiothoracic Imaging: AJR Expert Panel Narrative Review | AJR
The implementation of photon-counting (PCD) CT has led to substantial technologic improvements over conventional energy-integrated detector (EID) CT. These advances include better spatial and contrast resolution, intrinsic spectral information, and potential for reductions in radiation doses and contrast media volumes. Since the clinical introduction of PCD CT, numerous studies have been performed to investigate the advantages and potential impact brought by this new technology for various clinical scenarios with respect to cardiothoracic imaging. For example, PCD CT offers improved visualization of pulmonary and cardiac anatomy and allows dose reduction in the assessment of pulmonary vasculature, nodules, emphysema, and interstitial lung diseases. PCD CT also improves visualization of coronary plaque and stents, provides more accurate assessment of coronary stenoses, and facilitates myocardial tissue characterization. The faster data acquisition enabled by PCD CT additionally aids cardiothoracic evaluation in pediatric and/or dyspneic patients. This AJR Expert Panel Narrative Review explores these state-of-the art cardiothoracic applications of PCD CT considering supporting evidence, technical features, protocols, and areas of greatest potential clinical benefit. Ongoing implementation challenges and remaining research priorities that warrant attention to support the integration of PCD CT into standard cardiothoracic imaging practice are highlighted.
https://www.ajronline.org/doi/10.2214/AJR.26.34792
about 1 month ago
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The Editor’s Notebook provides readers with highlights of articles in this month’s issue of AJR.
www.ajronline.org/doi/10.2214/...
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April 2026: Screening DBT, Vision-Language Models, Lung Cancer Ablation, and More | AJR
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https://www.ajronline.org/doi/10.2214/AJR.25.33516
about 2 months ago
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This essay provides a unique perspective on the radiology residency application process in Mexico, advocating for earlier specialty exposure and mentorship to foster future innovation.
www.ajronline.org/doi/10.2214/...
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The Radiology Training Pathway: Not as Simple as You May Think—A Perspective From a Final-Year Medical Student in Mexico | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.35054
about 2 months ago
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A meta-analysis identifies four key CT signs predictive of ischemia in SBO, emphasizing increased unenhanced bowel wall attenuation as a specific marker for necrosis to guide urgent surgical decision-making:
www.ajronline.org/doi/10.2214/...
www.auntminnie.com/clinical-new...
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Diagnostic Performance of Individual CT Signs for Identifying Ischemia and Necrosis in Small Bowel Obstruction: A Systematic Review and Meta-Analysis | AJR
BACKGROUND. CT has established strong performance in diagnosing small bowel obstruction (SBO). Uncertainty remains regarding the performance of individual CT signs in diagnosing associated ischemia or necrosis. OBJECTIVE. To conduct a systematic review and meta-analysis of the diagnostic performance of individual CT signs for detecting ischemia and necrosis in patients with SBO. EVIDENCE ACQUISITION. The MEDLINE, Embase, and Web of Science database were searched through April 2024 for original research studies evaluating the diagnostic performance of individual CT signs in detecting surgically confirmed bowel ischemia and/or pathologically confirmed bowel necrosis in patients with SBO; uneventful clinical follow-up was permitted for determining absence of these outcomes. Bivariate random-effects meta-analyses were performed for CT signs reported in ≥3 studies with ≥100 total patients. Signs were considered predictive of an outcome if exhibiting pooled specificity exceeding 85% and diagnostic OR exceeding 10. Signs were considered to reliably exclude an outcome if having a negative likelihood ratio (NLR) less than 0.10. EVIDENCE SYNTHESIS. The analysis included 19 studies reporting 2453 patients with 2489 SBO episodes (600/2029 [30%] with ischemia, 241/651 [37%] with necrosis). Of 14 signs evaluated for ischemia, four were predictive: increased unenhanced bowel wall attenuation (specificity 98%, DOR 30.50, sensitivity 36%), reduced bowel wall enhancement (specificity 92%, DOR 15.80, sensitivity 55%), diffuse mesenteric haziness (specificity 89%, DOR 22.30, sensitivity 72%), and closed-loop configuration (specificity 85%, DOR 19.60, sensitivity 75%). Of 11 signs evaluated for necrosis, one was predictive: increased unenhanced bowel wall attenuation (specificity 92%, DOR 18.0, sensitivity 55%). No sign had sufficiently low NLR to reliably exclude either outcome (lowest NLR of 0.30 for closed-loop configuration for both outcomes). CONCLUSION. In patients with SBO, four CT signs (increased unenhanced bowel wall attenuation, reduced bowel wall enhancement, diffuse mesenteric haziness, and closed-loop configuration) were predictive of ischemia; one of these signs, increased bowel wall attenuation, was also predictive of necrosis. No sign could reliably exclude either outcome. CLINICAL IMPACT. The identified signs could be prioritized when interpreting CT examinations in patients with SBO, to help guide surgical decision-making. Additionally, noncontrast acquisitions may warrant inclusion in routine CT protocols for SBO evaluation.
https://www.auntminnie.com/clinical-news/ct/article/15823650/4-ct-signs-help-predict-ischemia-in-small-bowel-obstruction
about 2 months ago
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Drs. Stiller and Kattapuram warn that expanding the role of nonphysician practitioners may increase health care costs, compromise trainee education, and lead to the eventual displacement of the radiologist physician workforce.
www.ajronline.org/doi/10.2214/...
about 2 months ago
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Dr. Jha argues that standardizing repetitive radiology tasks allows for the use of physician extenders, potentially easing workforce shortages and focusing radiologist expertise on complex judgment.
www.ajronline.org/doi/10.2214/...
about 2 months ago
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Experts explore how virtual education, peer learning, and AI are reshaping radiology training, offering consensus guidance to sustain diagnostic excellence amidst growing operational pressures.
www.ajronline.org/doi/10.2214/...
about 2 months ago
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Krishna Juluru, MD, speaks with host Siddhant Dogra, MD, about partnering across government, academia, and industry to advance safe, effective digital health innovation.
www.ajronline.org/doi/10.2214/...
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Shaping Digital Health Policy—Career Pivots, an AJR Podcast Series (Episode 10) | AJR
Summary How can radiologists help shape digital health policy? Krishna Juluru, MD, speaks with host Siddhant Dogra, MD, about his career in informatics, the Presidential Innovation Fellows program, service at the FDA Digital Health Center of Excellence, and partnering across government, academia, and industry to advance safe, effective digital health innovation.
https://www.ajronline.org/doi/10.2214/AJR.26.35061
about 2 months ago
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This commentary discusses a recent study reporting rotator cuff abnormalities to be nearly ubiquitous on MRI after age 40, highlighting poor correlation between imaging and symptoms and emphasizing the need to treat the patient rather than the image.
www.ajronline.org/doi/10.2214/...
about 2 months ago
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This meta-analysis of 47 studies finds that interreader agreement is generally higher for LI-RADS ancillary features favoring malignancy than for those favoring benignity, guiding more reliable clinical application.
www.ajronline.org/doi/10.2214/...
about 2 months ago
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While AI fracture detection is appealing, this Counterpoint highlights critical barriers including algorithm drift, prevalence mismatch, automation bias, and the lack of clear economic reimbursement pathways.
www.ajronline.org/doi/10.2214/...
about 2 months ago
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This Point article argues that AI for fracture detection is a mature, justifiable solution to mitigate human error and address the global radiologist shortage, offering enhanced patient safety and workflow efficiency.
www.ajronline.org/doi/10.2214/...
about 2 months ago
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2 months ago
Join us in the
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@ajrradiology.bsky.social
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This Wednesday, April 15 is the deadline to submit your AJR Podcast Trainee Editor application:
arrs.org/traineepod
2 months ago
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While acknowledging the innovation of photon-counting CT, Dr. Zins argues that insufficient clinical evidence and significant economic hurdles necessitate a cautious approach to its widespread abdominal adoption.
www.ajronline.org/doi/10.2214/...
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Adult Abdominal Photon-Counting CT: Counterpoint—Insufficient Evidence, Workflow Challenges, and Economic Barriers | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.34952
3 months ago
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Dr. Toia explores how photon-counting CT revolutionizes abdominal imaging through superior spatial resolution and iodine contrast, offering transformative benefits for oncologic surveillance and patient care.
www.ajronline.org/doi/10.2214/...
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Adult Abdominal Photon-Counting CT: Point—Advancing the Value Proposition for Clinically Impactful Imaging | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.34676
3 months ago
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Aya Kamaya, MD, speaks with host Surbhi Raichandani, MD, about developing an ultrasound research identity, leading consensus efforts, and using the final stretch of training to prepare for sustained academic impact.
www.ajronline.org/doi/10.2214/...
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The Final Stretch: Laying the Groundwork for a Career of Influence—From Training to Practice, an AJR Podcast Series (Episode 10) | AJR
Summary What does it take to build a career that shapes practice? Aya Kamaya, MD, speaks with host Surbhi Raichandani, MD, about developing an ultrasound research identity, leading consensus efforts such as LI-RADS and SRU guidelines, and using the final stretch of training to prepare for sustained academic impact.
https://www.ajronline.org/doi/10.2214/AJR.26.34936
3 months ago
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National claims data reveal a slow increase in pediatric CEUS utilization since FDA approval, suggesting potential barriers to widespread adoption.
www.ajronline.org/doi/10.2214/...
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Utilization of Pediatric Contrast-Enhanced Ultrasound in the United States After FDA Approval: Insights From a Large Claims Database | AJR
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https://www.ajronline.org/doi/10.2214/AJR.25.34464
3 months ago
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Reconceptualizing error through complex-adaptive systems theory, this review shifts focus from individual remediation to improving work conditions and information flows to enhance diagnostic resilience.
www.ajronline.org/doi/10.2214/...
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Radiologic Error as an Emergent Property of Complex Adaptive Systems: Implications for Diagnostic Safety and Governance | AJR
Radiologic error remains an enduring challenge in diagnostic medicine. Despite study of radiologic error since the mid-twentieth century, interpretive discrepancy rates have remained remarkably stable across modalities, institutions, and technologic eras. Moreover, despite compelling evidence that diagnostic performance is shaped by workload, feedback delays, information quality, and tradeoffs under pressure, radiology remains governed predominantly by discrepancy counting, individual remediation, and retrospective attribution. This persistence defies reductionist explanations narrowly centered on individual fallibility and highlights radiology's structural properties as a complex sociotechnical system. This Perspective reconceptualizes radiologic error through the lens of complex-adaptive systems theory whereby safety is understood as an emergent property of dynamic interactions rather than absence of individual failure. The article describes how radiology has not kept pace with epistemologic shifts in understanding error and proposes a reframing of radiologic safety grounded in adaptive capacity, resilience, and systems learning. The impact of artificial intelligence in reshaping system behavior and thereby introducing new challenges is considered. Drawing on the evolution of safety science from linear human-centric models to contemporary resilience-oriented frameworks, the analysis integrates empiric evidence on interpretive variability with theory from systems engineering, cognitive science, and organizational safety to identify conditions under which accurate diagnoses are routinely achieved.
https://www.ajronline.org/doi/10.2214/AJR.26.34634
3 months ago
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The new issue of AJR is now available:
www.ajronline.org/toc/ajr/226/
3 months ago
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In this study, radiologists and AI both showed high specificity but suboptimal sensitivity for detecting interstitial lung abnormalities on radiography, highlighting limitations of the modality for this indication.
www.ajronline.org/doi/10.2214/...
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Detection of Interstitial Lung Abnormalities on Chest Radiographs: Diagnostic Performance of Radiologists and Artificial Intelligence | AJR
Background: Interstitial lung abnormalities (ILA) on chest CT are receiving growing attention given their association with progression to interstitial lung disease. Radiography's role in ILA detection is not well described. Objective: To evaluate the diagnostic performance of radiologists and an artificial intelligence (AI) model in detecting ILA on chest radiographs using CT as the reference. Methods: This retrospective study included adults who underwent both chest CT and chest radiography as part of health check-up programs at two institutions in Korea between January 2007 and December 2010. Five thoracic radiologists independently assessed ILA likelihood on radiographs using a 5-point Likert scale (positive, ≥4). A previously developed AI model (AIRead-CXR; Soombit.ai) processed radiographs to generate a probability (0 to 1) of reticular or reticulonodular opacities (positive, ≥0.4). CT served as the reference standard for fibrotic and nonfibrotic ILA. Radiologists' diagnostic performance for ILA detection was reported using mean performance metrics and compared with AI performance using generalized estimating equations. Associations of AI-based radiographic ILA, adjusting for age, sex, and smoking status, were assessed with all-cause mortality and respiratory disease-related mortality using Cox proportional hazard and Fine–Gray competing-risk regression models. Results: The analysis included 1168 individuals (median age, 56 years; 786 male, 382 female). Forty-one individuals had ILA on CT (fibrotic, 22; nonfibrotic, 19). For fibrotic ILA, radiologists and AI had AUC of 0.86 and 0.92 (P=.06), sensitivity of 62.7% and 68.2% (P=.43), specificity of 97.8% and 98.7% (P=.05), and accuracy of 97.2% and 98.1% (P=.04), respectively. For fibrotic or nonfibrotic ILA, radiologists and AI had AUC of 0.75 and 0.83 (P=.009), sensitivity of 38.5% and 41.5% (P=.48), specificity of 98.0% and 98.8% (P=.05), and accuracy of 95.9% and 96.8% (P=.03), respectively. During a median follow-up of 11.9 years, radiographic ILA was independently associated with respiratory disease-mortality (adjusted subdistribution HR, 8.72; P<.001) but not overall mortality (adjusted HR, 1.75; P=.17). Conclusion: Radiologists and AI achieved suboptimal sensitivity for ILA detection on radiography, albeit high specificity. Clinical Impact: Despite association of radiographic ILA with a clinically relevant outcome, the findings do not support radiographic screening for ILA, whether incorporating radiologist or AI interpretation.
https://www.ajronline.org/doi/10.2214/AJR.26.34686
3 months ago
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Apply by Sunday, April 15 to become an AJR Trainee Podcast Editor:
arrs.org/traineepod
3 months ago
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Perry Pickhardt, MD shares a case of osteoporosis progressing to a hip fracture and explains how opportunistic screening could have caught this early in the latest AJR Forum, now available as a video article.
www.ajronline.org/doi/10.2214/...
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3 months ago
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UCLA Radiology
3 months ago
In
@ajrradiology.bsky.social
,
@uclaradiology.bsky.social
researchers & colleagues compare
#AI
& radiologist false-positives on breast tomosynthesis, finding distinct patient & imaging differences between the two.
doi.org/10.2214/AJR....
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reposted by
AJR
Raisa Amiruddin
3 months ago
@ajrradiology.bsky.social
When MRI Physics meets Pediatrics - Pediatric Imaging, an AJR podcast series (Episode 9)
ajronline.libsyn.com/when-mri-phy...
Dr. Lorenna Vidal MD joins me to demystify the physics of pediatric MRI & why every moment near an MRI scanner requires a safety-first mindset!
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Robin Roth, MD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss building a purpose-driven brand, engaging and educating the public through social media, and finding unexpected professional connections in addition to clinical practice.
www.ajronline.org/doi/10.2214/...
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What it Takes to Build a Successful Digital Presence and Brand—Radiology Trailblazers, an AJR Podcast Series (Episode 9) | AJR
Summary Your expertise deserves an audience, so let's work on your digital footprint! Robin Roth, MD, joins cohosts Lindsey Negrete, MD, and Amy Maduram, MD, to discuss building a purpose-driven brand, engaging and educating the public through social media, and finding unexpected professional connections in addition to clinical practice.
https://www.ajronline.org/doi/10.2214/AJR.26.34816
3 months ago
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Radiologists discuss advanced durable strategies for managing acute cholecystitis in high-surgical-risk patients, to improve long-term quality of life and clinical outcomes after temporary external drainage.
www.ajronline.org/doi/10.2214/...
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Managing Acute Cholecystitis in a Patient Who Is Not a Surgical Candidate | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.34812
3 months ago
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This article discusses a recently published qualitative study revealing the significant frustration that referring clinicians face with indeterminate CTPA reports and exploring potential mitigating strategies.
www.ajronline.org/doi/10.2214/...
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No Clear Clinician Path Following Indeterminate Diagnosis of Pulmonary Embolism on CT | AJR
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https://www.ajronline.org/doi/10.2214/AJR.26.34772
3 months ago
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This Practice Pearl presents a new, publicly accessible tool that provides subspecialty-level percentile rankings for bibliometric indices among academic radiologists, offering critical context for evaluating scholarly activity in the field.
www.ajronline.org/doi/10.2214/...
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A Publicly Available Resource for Subspecialty-Level Percentile Rankings of Bibliometric Indices in Radiology | AJR
View all available purchase options and get full access to this article.
https://www.ajronline.org/doi/10.2214/AJR.26.34752
3 months ago
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This study explores how a radiologist used AI-assisted coding to create a personalized rule-based proofreading system for correcting speech recognition errors.
www.ajronline.org/doi/10.2214/...
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Personalized Rule-Based Proofreading for Speech Recognition Errors in Radiology Reports: Development Using Artificial Intelligence Coding Assistance | AJR
You can view the full content in the following formats:
https://www.ajronline.org/doi/10.2214/AJR.26.34694
4 months ago
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AI is changing how we approach hard-to-screen diseases. At the AJR Forum on Opportunistic Screening, Michael Rosenthal, MD, PhD shared how AI techniques enable risk enrichment to filter out low-risk individuals and focus efforts on high-risk subgroups.
www.ajronline.org/doi/10.2214/...
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4 months ago
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