In comparison to standard readout-segmented echo-planar imaging, the combination of deep learning reconstruction and multi-shot diffusion-weighted imaging (DWI) offered significantly higher SNR, CNR and lesion contrast with a greater than a two-minute reduction in scan time.
Getting caught up in the numbers of cases we’re reviewing may increase stress and inhibit our productivity.
Catch up on the top radiology content of the past week.
Noting the rising imaging volume and dearth of MRI scanner availability, the authors of a new literature review explore the utility and impact of workflow redesign, staff training, scheduling improvements and AI advances for enhancing MRI workflows.
Smaller voxel size may offer insights into biology we could never access with conventional resolution.
Catch up on the latest episodes of our Breast Imaging in Focus series with Manisha Bahl, MD, MPH, FSBI, discussing research on a variety of topics including breast arterial calcification on mammograms, automated breast ultrasound, AI and GLP-1 receptor agonists.
In a recently published review of the BI-RADS v2025 manual, leading breast radiologists offered pertinent insights on key changes for reporting of mammogram, breast ultrasound and breast MRI interpretation and assessment.
In a recent interview, Kay Jann, PhD, discussed challenges with urinary continence in stroke survivors and a forthcoming NIH-funded study examining the use of brain MRI to help identify those who may benefit from transcutaneous spinal cord stimulation (TSCS).
In comparison to 2023 statistics, the authors of a new study noted an approximately 49 percent increase in radiology turnaround time for ultrasound interpretation and over a 35 percent increase in turnaround time for X-ray assessments.
Extracellular volume fraction (ECV) assessment with photon-counting CT offered higher sensitivity and comparable specificity and AUC to magnetic resonance elastography (MRE)-derived liver stiffness measurement (LSM) for evaluating patients with stage 2 or higher fibrosis, according to a recent study.
New computed tomography (CT) research in July 2026 ranged from the ongoing impact of AI to significant declines in CT radiation dosing over the past decade to a growing recognition that coronary artery calcium (CAC) scoring alone may not be sufficient to convey a true picture of cardiovascular risk stratification.
The AI tools for the newly launched Invenia ABUS Prime ultrasound platform reportedly facilitate a 40 percent increase in scan speed and up to a 93 percent sensitivity rate for lesion detection in women with dense breasts.
While the vague “R/O pathology” has become pervasive filler for clinical history on requests for imaging, a new wave of clinical histories offer a word salad approach that offers equally little insight into the possible ailment of the patient.
Catch up on the top radiology content of the past week.
Based on results from the phase III PSMAddition trial, the expanded approval may nearly double the number of patients with prostate cancer who can be treated with Pluvicto.
Combining automated lesion detection and characterization, the DeepHealth Breast Ultrasound software reportedly offers greater than 98 percent sensitivity for localizing breast lesions and reduces interpretation time for radiologists by 37 percent.
Offering rapid loading and viewing access for CT, MRI, ultrasound, PET imaging and mammograms, the ImageGrid® StreamVue platform can be integrated into existing PACS environments at hospitals and imaging centers.
Catch up on the most-well viewed radiology content in July 2026.
Utilization of the ThinkSono Guidance software app by non-ultrasound trained clinicians on point-of-care ultrasound devices reportedly facilitated diagnostic image quality in 87.1 percent of cases, according to recent research.
Catch up on the most well-viewed video interviews from Diagnostic Imaging in July 2026.
Recently presented research with the AI-powered CaRi-Heart software at the Society of Cardiovascular Computed Tomography (SCCT) conference found that assessments of advanced coronary inflammation with the software were linked to significantly higher cardiovascular mortality risks.
In comparison to findings from a similar study in 2014, the national volume computed tomography (CT) dose index (CTDLvol) declined by 9.3 percent, according to newly published research involving 5 million CT exams for over 2.8 million adults in 2025.
In an external test set from a recent study, a combined radiomic/deep learning model for intratumoral computed tomography (CT) threshold segmentation offered an 82.3 percent AUC and 95.4 percent sensitivity for predicting visceral pleural invasion in patients with lung adenocarcinoma < 30 mm.
For biopsy-naïve patients who had radical prostatectomy for prostate cancer, new research suggests that biparametric MRI is comparable to multiparametric MRI for detecting extraprostatic extension.
Catch up on the top AI-related news and research in radiology over the past month.
In the face of consistent shortcomings from referring clinicians, the consistency of our resolve and perspective may be our best recourse.
Catch up on the top radiology content of the past week.
In a recent interview, Kenneth Chan, MBBS, discussed new research, presented at the recent Society of Cardiovascular Computed Tomography (SCCT) conference, that showed the impact of coronary inflammation in identifying elevated cardiovascular risk in patients with zero or low coronary artery calcium (CAC) scores.
Advanced imaging with photon-counting CT and AI detection of subtle calcification may lead to a reevaluation of the power of zero with coronary artery calcium (CAC) scoring.
The HOPPR EF Chest CT Narrative Model reportedly provides narrative language describing pertinent findings across pulmonary, upper abdominal, cardiac, mediastinal and soft tissue regions with processing of 3D chest CT volumes.
