Here's your {weekly} roundup of the most notable new research, news, and educational content from the world of radiology β curated from Radiology (RSNA), RadioGraphics, JMRI, AJR, The Imaging Wire, Radiopaedia, RSNA EdCentral, and the ACR. Happy reading!
Krisβs Korner β If thereβs one thing Iβve observed in year 31 of my Imaging career, itβs that the Radiology world moves fast. Your inbox should keep up. Every Monday: fresh research, AI breakthroughs, safety updates & education; from journals you trust, in 5 minutes or less.
As this summer came and went, and too fast for my liking, I like to look at the seasons changing for an opportunity to self-reflect. Are we all that we can be? Is our department ready for winter, or the next storm? How about cleanliness and infection control? Are our policies up to date and being carried out in our daily workflows? In the coming week(s) ahead, look for opportunities to assess your rooms for improvements, your scanner for protocol optimization, your service logs to be updated. You'd be surprised what value can come in taking the extra step, helping your peers navigate the challenges of today's healthcare landscape.
All the best, ~Kris
ββββββββ π§²1. MRI ADVANCES 𧲠ββββββββ
Simultaneous 3D Structural-Functional Assessment of Pediatric Lung Using 0.55-T MRI: A Feasibility Study Radiology Advances | September 2026 This feasibility study evaluated low-field 0.55-T MRI for simultaneous structural and functional lung assessment in pediatric patients β a population for whom radiation avoidance is a high priority. Researchers demonstrated that the technique could capture clinically useful structural and functional data in a single acquisition, potentially reducing the need for CT or nuclear medicine studies. The findings support continued investigation of low-field MRI as a viable, radiation-free lung imaging platform in children. https://doi.org/10.1093/
Reliability and Validity of Imaging-Derived Extranodal Extension Grading Using CT and MRI in Nasopharyngeal Carcinoma Radiology | September 22, 2026 This multicenter study proposed and validated a four-tier grading system for imaging-derived extranodal extension (iENE) in nasopharyngeal carcinoma using both CT and MRI. The grading system demonstrated excellent interreader reliability and strong prognostic value for patient outcomes. The work supports iENE as a reproducible and clinically meaningful imaging biomarker that could standardize nodal staging and guide treatment planning. https://doi.org/10.1148/
Brain MRI Assessment of Anterior Inferior Cerebellar Artery Aneurysm Formation after Stereotactic Radiosurgery for Vestibular Schwannomas Radiology | September 22, 2026 This study identified a rare but serious complication of stereotactic radiosurgery for vestibular schwannoma: anterior inferior cerebellar artery (AICA) aneurysm formation. MRI analysis revealed that aneurysm development occurred exclusively in patients with meatal loopβtumor contact at pretreatment imaging, establishing a clear anatomic risk factor identifiable on pre-procedure MRI. The findings underscore the value of careful pretreatment MRI review and may inform patient counseling and post-treatment surveillance protocols. https://doi.org/10.1148/
Downstream Evaluation of Synthetic AI-Generated T1-Weighted Contrast-Enhanced MR Images in Glioma Segmentation and Grading Frontiers in Radiology | September 23, 2026 Researchers evaluated the clinical utility of AI-synthesized contrast-enhanced T1-weighted MR images for downstream glioma segmentation and grading tasks β an approach with significant implications for patients who cannot receive gadolinium-based contrast agents. The study assessed whether synthetically generated images could substitute for true contrast-enhanced sequences without loss of diagnostic accuracy. Results offer early support for AI image synthesis as a potential clinical tool in MRI workflows where contrast administration is contraindicated. https://doi.org/10.3389/fradi.
ββββββπ»2. IMAGING INFORMATICSπ»ββββββ
Predetermined Change Control Plan Adoption and Documentation Transparency in FDA-Cleared Radiology AI/ML Devices Radiology: Artificial Intelligence | September 2026 This study examined adoption of Predetermined Change Control Plans (PCCPs) among FDA-cleared radiology AI/ML devices following release of final FDA guidance in 2024. While PCCP adoption increased meaningfully, the authors found that public regulatory summaries frequently lacked continuous monitoring metrics and predefined drift triggers β gaps that limit post-market transparency. The accompanying commentary by Sihlahla emphasizes that assuring AI software transparency after deployment remains an unresolved challenge requiring industry-wide standards. https://doi.org/10.1148/ryai.
AI Decision Support for Emergency Triage of Large Vessel Occlusion Using Noncontrast CT: Systematic Review and Bayesian Diagnostic Meta-Analysis Journal of Medical Internet Research | September 24, 2026 This systematic review and Bayesian network meta-analysis synthesized the diagnostic accuracy of AI-assisted triage tools for large vessel occlusion (LVO) detection using noncontrast CT β a faster and more widely available alternative to CT angiography in the acute stroke setting. The findings quantify the performance envelope of current AI triage tools and identify which approaches show the most promise for real-world emergency deployment. Results have direct implications for stroke workflow optimization, particularly in centers with limited after-hours neuroradiology coverage. https://www.jmir.org
Diagnostic Performance of a Locally Deployed Vision Language Model for Bone Tumor Diagnosis Using Smartphone-Captured Images JMIR AI | September 21, 2026 This exploratory retrospective study evaluated a locally deployed vision-language model (VLM) for classifying bone tumors from smartphone-captured radiographic images β a scenario relevant to resource-limited and point-of-care settings. The model demonstrated meaningful diagnostic performance, suggesting that compact, locally run AI systems could extend specialist-level image interpretation to underserved environments. The study contributes to growing literature on decentralized, privacy-preserving AI deployment in radiology. https://doi.org/10.2196/99757
From Scanner to Scalpel: Adapting IDEAL for Accountable AI in Radiology and Image-Guided Neurosurgery Frontiers in Radiology | September 24, 2026 This perspective article proposes adapting the IDEAL (Idea, Development, Exploration, Assessment, Long-term study) framework β originally designed for surgical innovation β to the evaluation and accountability of AI tools in radiology and image-guided neurosurgery. The authors argue that radiology AI currently lacks structured post-market evaluation pathways analogous to those expected of surgical devices. The framework offers a practical roadmap for developers, institutions, and regulators to ensure AI tools are rigorously assessed across all stages of clinical translation. https://doi.org/10.3389/fradi.
βββββββ π‘οΈ3. PATIENT SAFETY π‘οΈβββββββ
MRI Safety System Cuts Inpatient Deterioration Events by Nearly 80% Academic Radiology | September 14, 2026 A large health system study across nine hospitals demonstrated that implementing standardized MRI Care Level guidelines paired with an EHR-integrated dashboard reduced inpatient deterioration events from 2.11 to 0.45 per 10,000 completed MRI examinations β a 79% reduction. The three-tiered risk stratification system categorizes inpatients by deterioration risk and provides tailored guidance on positioning, monitoring, and equipment needs. Severe events including cardiopulmonary resuscitation also declined at participating hospitals, offering a compelling, scalable model for improving inpatient MRI safety system-wide. https://www.sciencedirect.com/
Radiomic Feature Stability in Low-Dose CT and 3D Segmentation for Pulmonary Nodules: Phantom and Multicenter Evaluation Radiology: Cardiothoracic Imaging | August 27, 2026 This phantom and multicenter study identified a stable subset of radiomic features for pulmonary nodules derived from AI-based 3D segmentation and low-dose CT protocols. The stable feature subset demonstrated robust diagnostic performance across 1,098 clinical ground-glass nodules (AUC 0.86β0.90), supporting the use of low-dose CT as a safer alternative without sacrificing quantitative imaging accuracy. This work has direct implications for reducing radiation burden in lung cancer screening programs. https://doi.org/10.1148/ryct.
Gadoquatrane: Redrawing Contrast Dose Limits in MRI Bayer / ECR 2026 Phase III QUANTI Programme Data from Bayer's Phase III QUANTI programme, presented at ECR 2026, demonstrate that gadoquatrane β a next-generation macrocyclic gadolinium-based contrast agent with higher relaxivity β delivers diagnostic performance comparable to standard agents at up to 60% lower gadolinium dose (0.04 vs. 0.1 mmol/kg). Performance was validated across CNS, abdominal, vascular, and cardiac MRI applications in patients from 15 countries. The agent is currently under regulatory review and may offer meaningful safety benefits for patients requiring repeated contrast-enhanced MRI, such as those with MS, congenital heart disease, or cancer under surveillance. https://www.quomi.com/
ββββββββ π4.EDUCATION πββββββββ
Cancer Predisposition Syndromes in Children: Who, When, and How to Screen? RadioGraphics | September 24, 2026 | CME Available This Test Your Knowledge CME article reviews syndrome-specific surveillance imaging protocols for children with cancer predisposition syndromes, emphasizing the importance of recognizing imaging red flags in patients with a family history or precursor lesions. The authors highlight multimodal strategies integrating AI-enhanced radiomics with liquid biopsy as an emerging frontier for high-risk population screening. A valuable resource for pediatric radiologists and trainees seeking to build competency in this expanding area. https://doi.org/10.1148/rg.
Opportunistic CT Screening: Clinical Applications, Technical Foundations, and Best Practices RadioGraphics | September 17, 2026 | CME Available This comprehensive review covers the growing practice of opportunistic CT screening β extracting clinically actionable information (bone density, visceral fat, aortic diameter, etc.) from CT studies ordered for other indications. The authors outline technical requirements, validated biomarkers, and integration strategies for incorporating opportunistic findings into structured radiology reports and clinical workflows. CME credit is available, making this an efficient educational read for general and subspecialty radiologists. https://doi.org/10.1148/rg.
Advanced MRI in Multiple Sclerosis: Clinical Translation of Imaging Biomarkers in the 2024 McDonald Criteria RSNA CME | August 2026 | 1 CME Credit This RSNA CME module addresses the updated 2024 McDonald Criteria and how advanced MRI biomarkers β including cortical lesions, central vein sign, and paramagnetic rim lesions β are now formally integrated into MS diagnosis. The course bridges the gap between research-grade MRI techniques and their practical application in clinical neuroradiology. Ideal for radiologists and neurologists seeking to update their MS imaging knowledge in light of the revised diagnostic framework. https://www.rsna.org/
Integrating Humanism and Ethics into Radiology Training: Building Resilient, Reflective, Patient-Centered Physicians RadioGraphics | August 13, 2026 | Podcast Available This Education Corner article from the RadioGraphics TEAM series advocates for embedding humanism, ethics, and reflective practice into radiology residency curricula alongside technical training. The authors propose specific curricular frameworks and faculty development strategies to help programs produce graduates who are not only technically skilled but also resilient and patient-centered communicators. A podcast accompanies the article for on-the-go learning. https://doi.org/10.1148/rg.
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That's a wrap for this week (or 3 weeks!!) As always, clicking through to the source articles for full text and supplemental materials is recommended β many RSNA journal articles include visual abstracts and downloadable figures. Stay curious, and see you next Monday, or the Monday afterβ¦β¦.
β Your (Weekly) Magnetic Mondays Team at BetterMRI.net
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