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uclaradiology.bsky.social
UCLA Radiology
@uclaradiology.bsky.social
Leader in patient care, education and innovative research
Soft tissue sarcomas of the upper extremity are rare & complex. @uclaradiology.bsky.social researchers & colleagues assess the accuracy of commonly used prediction tools. Results show limited performance, suggesting a need for refined models tailored to these tumors.
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November 18, 2025 at 9:08 PM
@uclaradiology.bsky.social researchers & colleagues validate MRI-derived maps predicting tumor cell density in brain gliomas. Using image-guided biopsies, these maps correlated with true cellularity in treatment-naïve patients, supporting non-invasive surgical planning.
Independent histological validation of MR-derived radio-pathomic maps of tumor cell density using image-guided biopsies in human brain tumors - Journal of Neuro-Oncology
Purpose In brain gliomas, non-invasive biomarkers reflecting tumor cellularity would be useful to guide supramarginal resections and to plan stereotactic biopsies. We aim to validate a…
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November 17, 2025 at 7:13 PM
Our latest study evaluates an automated #AI algorithm for detecting thoracic aortic dissection on CT. Achieving AUROC 98.7%, it demonstrates strong performance across multicenter datasets. Read the full findings:
Automated AI detection of thoracic aortic dissection on CT imaging - European Radiology Experimental
Background Aortic dissection (AD) is a life-threatening condition. We developed an artificial intelligence (AI) algorithm capable of robust, accurate, and automated AD detection and…
doi.org
November 14, 2025 at 9:37 PM
In the Journal of Clinical Medicine, @uclaradiology.bsky.social researchers examine predictors of hemorrhage & re-intervention in renal angiomyolipoma after transcatheter arterial embolization. Findings suggest tumor size and post-treatment volume can guide personalized care.
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November 13, 2025 at 6:24 PM
Our team analyzed 290+ MRI scans to better understand how brain metastases evolve after laser interstitial thermal therapy (LITT). Early MRI changes can resemble progression, highlighting the need for precise follow-up imaging. More in @europeanradiology.bsky.social: bit.ly/3JQ6Dot
November 12, 2025 at 5:50 PM
In a new case report, Drs. @jamieclarkerad.bsky.social, Samuel Cohen & Jay Acharya discuss orbital MRI findings in a 36-year-old woman with Leber hereditary optic neuropathy (LHON). Imaging played a key role in confirming the diagnosis. Find out more:
doi.org
November 10, 2025 at 3:54 PM
The International Day of Radiology celebrates more than invention. It recognizes the partnership between technology & medical insight. From the first X-ray to modern photon-counting CT, imaging deepens our understanding of the human body while calling for mindful use & stewardship. #IDoR2025
November 8, 2025 at 6:14 PM
The work of a radiologic technologist goes far beyond taking images. They ensure safety, accuracy & compassion in moments that can be frightening for patients. Their skill turns advanced technology into meaningful care. Thank you for all you do. Happy #RadTechWeek!
November 7, 2025 at 10:47 PM
Stump appendicitis can occur even after appendectomy, making diagnosis challenging. Drs. Ronald Homer & Suzanne Homer report two cases where timely imaging identified this rare condition, helping prevent complications. Read more about their findings:
doi.org
November 7, 2025 at 9:26 PM
A new multicenter study in Liver Transplantation examines how center-level differences affect outcomes for patients with MELD 35. Findings show significant variation in waitlist mortality & transplant probability across centers ➡️
Center-level variations are associated with disparate waitlist mortality and probability of liver transplant in MELD 35 and greater patients - PubMed
Liver transplant (LT) centers may have variations in their approach to high-acuity (MELD ≥35) candidates for listing and transplantation. We investigated center-specific differences in waitlist…
pubmed.ncbi.nlm.nih.gov
November 6, 2025 at 9:11 PM
Good imaging doesn't happen by accident. It's the result of a rad tech's training, focus & ability to see details most of us would miss. Their work makes diagnosis possible & patient care stronger at @uclaradiology.bsky.social. Happy #RadTechWeek!
November 5, 2025 at 10:37 PM
In a new study, @uclaradiology.bsky.social's Dr. Jason Chiang & colleagues "found a strong link between interferon-gamma (IFN- ) secretion from immune cells & changes in bone quality in pancreatic tumor-bearing humanized-BLT (hu-BLT) mice." Read the full study:
doi.org
November 5, 2025 at 6:13 PM
Diabetes impacts more than blood sugar, & we often see its effects in cardiovascular disease, stroke & peripheral artery disease. This #DiabetesAwarenessMonth, we're focusing on awareness, how everyday choices like balanced meals & regular activity can help prevent serious complications.
November 4, 2025 at 4:23 PM
New data from @uclaradiology.bsky.social's Dr. @jonnymomd.bsky.social & collaborators show that computer assisted vacuum thrombectomy can rapidly improve right ventricular function & symptoms in patients w/ acute pulmonary embolism. Read the interim results from 300 patients:
Periprocedural Results and Right Ventricular Outcomes of Computer Assisted Vacuum Thrombectomy Treatment of Acute Pulmonary Embolism: Interim Analysis of 300 Patients From the STRIKE‐PE Study | Journal of the American Heart Association
eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are…
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November 3, 2025 at 6:37 PM
Breast cancer screening meets real-world AI research ➡️ @uclaradiology.bsky.social is co-leading a $16M national study, the PRISM Trial, to understand how AI can support radiologists, improve accuracy & reduce patient anxiety. bit.ly/4hiDFds #BreastCancerAwarenessMonth
UCLA to lead $16 million national study on artificial intelligence in breast cancer screening
UCLA will lead a newly funded, multi-institutional clinical trial to evaluate whether artificial intelligence can help support radiologists in interpreting mammograms more accurately.
bit.ly
October 30, 2025 at 2:53 PM
This #CybersecurityAwarenessMonth, we're reinforcing one clear message: human vigilance is the strongest defense. Even one careless click can expose data. Slow down, check the source & think before opening attachments or links.

Security starts with each of us.
October 29, 2025 at 3:27 PM
In Journal of Neuro-Oncology, @uclaradiology.bsky.social & collaborators tested ATHENA, a physics-based generative AI model, for sodium MRI of gliomas at 3T. The model improved image quality & correlated with biopsy markers, supporting its use in non-invasive tumor assessment.
Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence - Journal of Neuro-Oncology
Purpose Sodium neuroimaging provides unique insights into the cellular and metabolic properties of brain tumors. However, at 3T, sodium neuroimaging MRI’s low signal-to-noise ratio (SNR) and…
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October 28, 2025 at 5:08 PM
We're proud to train residents who combine skill, curiosity & compassion. @uclaradiology.bsky.social Residency, where excellence meets opportunity.

Deadline: October 31 ➡️ www.uclahealth.org/departments/... #RadRes
Application Process
Application Process: UCLA Radiology Residency Program offers 4-year training program in Diagnostic Radiology, including all aspects of medical imaging
www.uclahealth.org
October 27, 2025 at 3:54 PM
New from @uclaradiology.bsky.social's Drs. Wendy Qiu, Zaid Patel, Benjamin Emert & Varand Ghazikhanian: a rare case showing contiguous Langerhans cell histiocytosis & Erdheim-Chester disease lesions, expanding understanding of histiocytic overlap on imaging.
doi.org
October 24, 2025 at 3:13 PM
A new study from @uclaradiology.bsky.social & collaborators shows that deep learning–based pharmacokinetic analysis of DCE MRI improves prediction of breast cancer response to chemotherapy, achieving higher AUCs and stronger generalizability.
Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning–based Pharmacokinetic Quantification of DCE MRI | Radiology: Artificial Intelligence
This study presents a novel approach to improve the generalizability of pathologic complete response prediction in breast cancer by using deep learning for pharmacokinetic quantification of dynamic...
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October 23, 2025 at 8:23 PM
How can #AI support radiologists & patients during breast cancer screening? @uclaradiology.bsky.social leads the $16M PRISM Trial—the first large-scale US study of AI in #mammography focused on accuracy, trust & patient experience. bit.ly/4hiDFds #BreastCancerAwarenessMonth
UCLA to lead $16 million national study on artificial intelligence in breast cancer screening
UCLA will lead a newly funded, multi-institutional clinical trial to evaluate whether artificial intelligence can help support radiologists in interpreting mammograms more accurately.
bit.ly
October 22, 2025 at 4:22 PM
UCLA Radiology Residency applications are open! Join a program rooted in excellence, diversity & innovation

Deadline: October 31 ➡️ www.uclahealth.org/departments/... #RadRes
Application Process
Application Process: UCLA Radiology Residency Program offers 4-year training program in Diagnostic Radiology, including all aspects of medical imaging
www.uclahealth.org
October 21, 2025 at 6:13 PM
In a study of >7,900 patients with HCC or CCA, normothermic machine perfusion was linked to higher transplant probability & lower dropout risk for HCC. Patients at high-volume NMP centers also had greater access. More from @uclaradiology.bsky.social:
doi.org
October 20, 2025 at 5:32 PM
A new study from @uclaradiology.bsky.social & Cedars-Sinai Biomedical Imaging Research Institute highlights the importance of repeatability in quantitative MRI. Read the full study:
Repeatability‐encouraging self‐supervised learning reconstruction for quantitative MRI
Purpose The clinical value of quantitative MRI hinges on its measurement repeatability. Deep learning methods to reconstruct undersampled quantitative MRI can accelerate reconstruction but do not…
doi.org
October 17, 2025 at 3:34 PM
COPD severity alone does not explain cardiac changes. In the MESA COPD Study, emphysema subtypes from CT were tied to specific hemodynamic profiles on MRI, pointing toward more precise targets for therapy. More from @uclaradiology.bsky.social:
CT Emphysema Subtypes and Cardiac Hemodynamics Estimated on MRI
In this case-control study of predominantly mild-moderate COPD, greater ePAP was specific to the combined bronchitic-apical emphysema subtype whereas the diffuse emphysema subtype and COPD severity…
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October 16, 2025 at 6:36 PM