Senior Editor, Diagnostic Imaging
In a recent interview, Jeremie Calais, MD, PhD, shared his perspective on recent research that compared the risk stratification capabilities of nomogram models incorporating PSMA PET data to established clinical risk scoring models from the European Association of Urology and the National Comprehensive Cancer Network (NCCN).
Pre-op MRI detection of seminal vesicle invasion was associated with a greater than five times higher likelihood of metastatic failure for patients undergoing radical prostatectomy, according to a newly published meta-analysis.
The CT-based True Definition DL software reportedly facilitates enhanced efficiency and high-resolution visualization for musculoskeletal, pulmonary and inner ear imaging.
For people with a history of heavy smoking, detection of significant incidental findings (SIFs) on low-dose computed tomography (LDCT) screening scans was associated with a 13.89 per 1000 marginal risk difference for extrapulmonary cancer in contrast to those with no SIFs, according to a study involving over 26,000 people.
The updated version 4.5.0. software for the Breast Acoustic CT platform reportedly facilitates improved spatial resolution in reflection imaging and enhanced capabilities for imaging of small breasts and breasts with implants.
Over a 10-year period, radiology report turnaround times for Medicare beneficiaries increased 113 percent with a total 87 percent increase occurring in 2022 and 2023, the last two years of a newly published retrospective study.
In a recent interview, Joseph Cavallo, MD, and Marla Sammer, MD, discussed the dearth of AI applications for pediatric imaging, new research evaluating adjunctive AI triage for CT detection of intracranial hemorrhages in children six and older, and going beyond the data points to ascertain the impact of AI on patient care.
In a recent interview, James Nagarajah, M.D., discussed new phase 2 research demonstrating significantly delayed disease progression in a cohort of patients with oligometastatic hormone-sensitive prostate cancer treated with 177-Lu-PSMA-617 and complete remission in nearly a quarter of these patients.
Reportedly trained on over 21 million images, Butterfly Network’s AI-enabled Gestational Age tool reportedly provides reliable automated age assessments between 16 and 37 weeks.
Catch up on the top radiology content of the past week.
Providing automated tracking and image guidance of the Edwards PASCAL Ace mitral valve repair device, the DeviceGuide reportedly enables integration of live ultrasound and X-ray images into a single view.
In a new podcast episode, Jennifer Frontera, M.D., discussed new research demonstrating a significantly higher prevalence of mild cognitive impairment in patients with Long Covid.
After a 2009 recommendation from the United States Prevention Services Task Force (USPSTF) against routine mammography screening for women 40-49 years of age, there was an approximate eight to 10 percent decline in mammography use for women in their 40s across different demographic subgroups, according to new research.
The DeepEcho Blind Sweep Platform reportedly automates a variety of key prenatal ultrasound measurements including fetal heart rate, placental location and gestational age.
In a recent interview, Louise Emmett, MBChB, FRACP, FAANMS, MD, discussed recent findings from the Co-PSMA trial demonstrating enhanced detection of biochemical recurrence of prostate cancer with the PET agent 64Cu-SAR-bisPSMA.
Offering high-resolution 3D imaging, the MARS Bioimaging Extremity Scanner System reportedly enhances the visualization of bone, soft tissue, blood vessels and metallic implants.
Only 41 percent of radiologists spotted radiographs that were generated by the large language model GPT-4o, according to newly published research.
The Photonova Spectra photon-counting CT system reportedly offers a variety of features, including 8-bin energy resolution, rapid rotation speed and motion-free imaging.
While smokers with negative baseline CT findings had a higher overall lung cancer risk than never smokers, the authors of a new study of over 30,000 people noted no elevated risk at two years.
Can the radioligand therapy 177Lu-PSMA-617 have an impact in older taxane-naïve men with mCRPC? Could we see the development of more combination therapies for patients with prostate cancer? Will emerging theranostics be effective in other targets beyond PSMA? Daniel George, M.D., addressed these topics and more in a recent interview.
Catch up on the top radiology content of the past week.
New study findings demonstrate that the deep learning software syngo.CT Brain Hemorrhage VB60 reportedly offers a 93.6 percent sensitivity as well as 99.2 percent negative predictive value for intracranial hemorrhage.
The expanded 510(k) clearance, which covers the TrueBeam, TrueBeamSTx, VitalBeam and Edge radiotherapy systems, may facilitate another treatment option for patients with osteoarthritis who have failed to get adequate pain relief from other treatment approaches.
Emerging PSMA PET-based nomograms offered 12 percent and 14 percent higher AUCs than the European Association of Urology risk score for risk stratification of patients with biochemical recurrence of prostate cancer, according to an international, registry-based study involving over 11,000 patients.
Emphasizing patient comfort and features to minimize radiation exposure, the MC2 portable X-ray device is now cleared for imaging of pediatric patients.
In an interview, W. Taylor Kimberly, M.D., discussed recent research showing that multidirectional diffusion-weighted imaging (DWI) on low-field MRI yielded a 95 percent positive predictive value (PPV) for detecting acute ischemic stroke.
More prominent honeycombing, reduced total ground glass opacity (GGO) and less pure GGO on CT scans each demonstrated 75 percent or higher AUCs for differentiating usual interstitial pneumonia (UIP) from non-UIP, according to new research.
Use of an MRI-based deep learning model also led to a greater than 33 percent increase in detecting brain metastases less than or equal to 3 mm, according to newly published research.
In the second part of a two-part interview, David Larson, M.D., M.B.A, and Jason Poff, M.D., shared their insights on the recent study of a structured pre-deployment approach to assessing AI models and potential directions in future radiology research.
Catch up on the top radiology content of the past week.
