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Eric Barnes

[email protected]
CT
Natural language processing predicts need for repeat head trauma CT
Monday, December 2 | 10:50 a.m.-11:00 a.m. | SSC12-03 | Room N229When do head trauma patients need repeat CT scans? When the report suggests the condition is worsening. However, a neuroradiologist review is time-consuming, and scans are sometimes repeated unnecessarily. By automating the process, California researchers hoped to improve CT utilization and cut radiation exposures from unneeded scans in this study to be presented on Monday morning.
November 12, 2013
CT
Absorbed dose varies between single-, dual-source CT colonography
Sunday, December 1 | 12:30-1:00 p.m. | LL-PHE3075-SUA | Lakeside Learning CenterThe dose readout on your scanner doesn't really tell you much, according to a group from Massachusetts General Hospital, who looked into dose differences between different scanners and scan modes for this education exhibit.
November 12, 2013
CT
Road to RSNA 2013: CT Preview
In a week packed with scientific presentations, exhibitions, special courses, and hot topic sessions, RSNA 2013 attendees will have plenty of opportunities to broaden their knowledge of emerging techniques such as spectral CT, perfusion imaging, iodine mapping, tissue composition analysis, automated tube current selection, flow mapping, iterative reconstruction, and more.
November 12, 2013
CT
Iterative reconstruction changes plaque characterization
Sunday, December 1 | 11:25 a.m.-11:35 a.m. | SSA02-05 | Room S502ABDoes iterative reconstruction make a difference in coronary plaque characterization? Researchers from Massachusetts General Hospital think it does; they found that even the reconstruction scheme makes a difference.
November 12, 2013
CT
No harm in cutting CTPA scan length in pregnant women
Sunday, December 1 | 11:05 a.m.-11:15 a.m. | SSA05-03 | Room N228Shorter scan lengths for CT pulmonary angiography (CTPA) do not reduce the accuracy of pulmonary embolism diagnosis, but they do cut radiation dose substantially, according to a research team from Wisconsin.
November 12, 2013
CT
Automated tube potential selection cuts neck dose
Sunday, December 1 | 10:45 a.m.-10:55 a.m. | SSA16-01 | Room N227Automated tube potential selection can cut CT dose by as much as a third in patients undergoing neck CT, according to researchers from Germany, who will present their results in this RSNA 2013 session.
November 12, 2013
CT
Iterative recon delivers quality CCTA at well under 1 mSv
Researchers from China and the U.S. have succeeded in producing ultralow-dose coronary CT angiography (CCTA) exams in a wide range of patients using iterative reconstruction. In the process, they've helped redefine low-dose CCTA to mean far less than 1 mSv in all patients, according to study results published in JACC Cardiovascular Imaging.
November 10, 2013
2013 11 10 18 45 49 582 Lu Jacc 450 20131111015226
Residents/Fellows
Early physics training gives radiology residents a leg up
A new program aimed at infusing a dose of imaging physics into the early training of radiology residents has improved their understanding of both medical physics and radiology, according to an article in the Journal of the American College of Radiology.
November 7, 2013
2013 11 01 16 32 20 128 Kansagra Akash 175 20131112183107
IS
Radiology still looms large in ECRI's top 10 hazards
Medical radiation no longer tops the top 10 list of technology hazards published each year by the ECRI Institute. That dubious honor, for the second year in a row, goes to those beeping, buzzing, distracting, infuriating, wolf-crying alarms that are becoming ubiquitous throughout healthcare.
November 4, 2013
Radiology Education
AuntMinnie.com Residents Insider
November 3, 2013
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2026 02 12 Chest Ac2 Thumbnail
Digital X-Ray
Chest x-rays reveal atherosclerosis in patients undergoing amputations
Lower limb amputation is an increasingly common major complication of advanced peripheral arterial disease and diabetes mellitus.
Cardiac Mri Adobe Samunella
MRI
3D MRI technique helps plan treatment for pediatric heart conditions
Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
Womens Imaging
Could AI scoring help with managing DCIS?
Axial contrast-enhanced CT scan in a 28-year-old premenopausal woman shows an incidentally detected solid-appearing left ovarian lesion (solid arrow) anterior to the uterus (U), associated with trace ascites in the right adnexa and cul de sac (dashed arrows). At pathologic analysis, this was shown to be ovarian dysgerminoma. Two readers misdiagnosed this lesion, one as a leiomyoma and one as an ovarian fibroma.
CT
Clinicians, beware: CT diagnostic accuracy varies by adnexal lesion type
Erin Stephens
Practice Management
Radiology coding update for 2026
More in Home
ISMRM: AI spots ischemic heart disease on low GBCA dose images
By Erik L. Ridley
An AI-based framework was highly accurate for detecting myocardial ischemia, even on images acquired with 90% less gadolinium.
May 14, 2025
Representative stress perfusion CMR case with 80% contrast dose reduction. Pixel-wise MBF maps and AHA 16-segment bull's eye plots are shown for full-dose and reduced-dose acquisitions. When analyzed using the proposed MST deep learning method, the reduced-dose data closely matches the full-dose data across basal, mid, and apical slices. In contrast, Fermi-deconvolution shows good agreement in apical and mid slices but overestimates MBF in some basal segments, indicating reduced accuracy under low-dose conditions. Image courtesy of the ISMRM.
Report highlights LLM cybersecurity threats
By Will Morton
The use of LLMs in radiology and healthcare as a whole is expanding, making it crucial to start understanding their potential vulnerabilities.
May 14, 2025
Chatgpt 4
ISMRM: Synthesized MR images mitigate patient exposure to gadolinium
By Kate Madden Yee
Using synthesized "contrast-enhanced" images can address gadolinium-related health concerns and cut exam time.
May 13, 2025
Synth Mri Thumbnail
ISMRM: Postoperative MRI useful for DBS treatment planning
By Liz Carey
Researchers are getting closer to understanding how deep brain stimulation alters the medication burden of patients with Parkinson's.
May 13, 2025
Aggregate Center Stn Schoen Ismrm2025
ISMRM: DMI metabolic modeling provides insight for neuro diseases
By Amerigo Allegretto
Using deuterium metabolic imaging data for metabolic modeling shows differences in brain tissue between healthy, epilepsy, and glioblastoma patients.
May 13, 2025
Screenshot 2025 05 14 140803 Thumb
ISMRM: AI reconstruction can improve sustainability in MRI
By Erik L. Ridley
Researchers reported substantial energy and time savings from adoption of AI-based MR image reconstruction.
May 13, 2025
Judith Herrmann, MD, PD, of the University Hospital Tübingen in Germany.
Breast texture patterns on mammo may predict cancer risk in dense breasts
By Amerigo Allegretto
Radiomic phenotypes found on mammography may be linked to elevated breast cancer risk in women with dense breasts.
May 13, 2025
Full-field digital mammography (FFDM) images in a 52-year-old woman show a high-risk phenotype (top), and FFDM images in a 58-year-old woman show a low-risk phenotype (bottom). The high-risk phenotype was defined by having high values of the first principal component (PC1) and was assigned to cluster 3 (top row), and the low-risk phenotype was defined by having low values of the PC1 and was assigned to cluster 1 (bottom row). The index images (left side; before any diagnosis of cancer) are provided as well as follow-up images obtained at either the time of cancer diagnosis (for the high-risk phenotype, top right) or at the last follow-up (low-risk phenotype, bottom right). The red circle indicates the location of subsequent breast cancer. Both women had a BI-RADS breast density of C. The woman at high risk for breast cancer was Black and the woman at low risk for breast cancer was white.
ISMRM: MR spectroscopy captures neurochemistry changes after football hits
By Liz Carey
Choline has emerged as the key metric of injury in a traumatic brain injury study.
May 12, 2025
Expected outcomes in brain metabolites
ISMRM: 4D MRI reveals heart impairments in patients with COPD
By Will Morton
Research presented at ISMRM 2025 highlighted how 4D flow MRI reveals cardiopulmonary hemodynamic interaction in patients with COPD.
May 12, 2025
Examples of hemodynamic parameter maps superimposed on their corresponding anatomic data for two participants. Participant A represents an example of good flow with lower right ventricle stasis, increased right atrium kinetic energy, and increased mean velocity when compared to the sample’s average calculations. Opposite findings are highlighted by the visualizations of participant B representing an example of poor flow.
ISMRM: Synthetic MRI feasible for breast cancer screening
By Kate Madden Yee
Synthetically generated "postcontrast" screening breast MR images show promise as an alternative to contrast MRI exams in women with contrast-related contraindications.
May 12, 2025
Invasive breast cancer is detected in left breast as an enhancing irregular mass. The mass is well visualized on reconstructed T1 weighted image. Images and caption courtesy of Soonhoi Ha, PhD, and the ISMRM.
Video from ISMRM: Shintaro Ichikawa on MRI liver biomarkers
By Kate Madden Yee
The ISMRM's New Horizons lecturer Shintaro Ichikawa, PhD, talks to AuntMinnie about MRI biomarkers for liver disease.
May 12, 2025
Pxl 20250510 231326486~2
ISMRM/ISMRT: 6 tips for making MR imaging more sustainable
By Kate Madden Yee
There are a number of ways to tackle the problem of negative environmental impacts caused by MR imaging.
May 12, 2025
Saif Afat, MD
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