
Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.

Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.

A partial response rate to neoadjuvant chemotherapy on mid-treatment MRI preceded a higher pathologic complete response (pCR) in 61.5 percent of women with triple-negative breast cancer, according to research presented at the American Society of Clinical Oncology (ASCO) conference.

Assessing the simulated use of AI-generated suspicion scores for determining whether one should continue with full MRI or shift to an abbreviated MRI, the authors of a new study noted comparable sensitivity, specificity, and positive predictive value for biopsies between the MRI approaches.

For patients with inconclusive ultrasound results, abbreviated breast MRI offers comparable detection of intraductal papilloma as a full breast MRI protocol at significantly reduced times for scan acquisition and interpretation, according to a new study.

The use of adjunctive AI software with pre-treatment PET imaging demonstrated over a fourfold higher likelihood of predicting progression-free survival (PFS) in patients being treated for lymphoma, according to a new meta-analysis.

Previously approved for MRI lung ventilation evaluation in adults and children 12 and older, the hyperpolarized contrast agent Xenoview can now be utilized for pediatric patients six years and older.

Through AI recognition of subtle patterns in breast tissue on screening mammograms, the Clairity Breast software reportedly provides validated risk scoring for predicting one’s five-year risk of breast cancer.

Other factors such as burnout, extraneous imaging orders and increasingly non-clinical tasks are key considerations when assessing reported backlogs with radiology worklists.

High allostatic load, which has been linked to an increased incidence of breast cancer and all-cause mortality, is more than twice as likely to occur in Black and Hispanic women in comparison to White women, according to mammography research presented at the American Society of Clinical Oncology (ASCO) conference.

Catch up on the top radiology content of the past week.

Latinx patients with metastatic prostate cancer were 63 percent less likely than non-Hispanic White patients to have PSMA PET scans, according to a study of 550 patients presented at the American Society of Clinical Oncology (ASCO) conference.

In a recent interview, Jean Seely, M.D., discussed a new study showing significantly higher rates of mastectomy, chemotherapy use and breast cancer-specific death in women with symptom-detected cancer in comparison to those with screen-detected breast cancer.

Moderate or marked background parenchymal enhancement (BPE) reduces the sensitivity and specificity of MRI for breast cancer detection by more than 10 percent in comparison to scans with minimal or mild BPE, according to a new meta-analysis.

The Optive AI software, the tenth software release for the Swoop portable MRI system, reportedly offers enhanced clarity and anatomical detail for ultra-low-field MRI of the brain.

Catch up on the most-well viewed radiology content in May 2025.

For overweight and obese patients at risk for knee osteoarthritis (OA), eight-year follow-up MRI data revealed a 12.8 percent loss of thigh muscle sub-volume for people who had extensive weight loss in comparison to 5.1 percent for those who retained a stable weight.

The Lunit Insight CXR4 update reportedly offers new features such as current-prior comparison of chest X-rays (CXRs), acute bone fracture detection and a 99.5 percent negative predictive value (NPV) for identifying normal CXRs.

Two years after intraarticular knee injections for knee osteoarthritis (OA), study participants who had corticosteroid knee injections had greater OA progression than control patients while the use of hyaluronic acid injections was associated with less OA progression.

In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.

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Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

Recognition of the central vein sign with a six-minute MRI demonstrated comparable sensitivity for multiple sclerosis (MS) detection in comparison to oligoclonal band (OCB) assessment, which requires lumbar puncture, according to newly published research.

For women with dense breasts and negative mammograms, contrast-enhanced mammography and abbreviated MRI provided respective cancer detection rates of 19.2 per 1000 exams and 17.4 per 1000 exams, according to new research.

The MSKai software provides AI-powered segmentation, labeling, and measurement tools for assessment of T2-weighted MRIs of the lumbar spine.

In a study involving over 12,000 Asian women, researchers found that an artificial intelligence (AI) model converted over 83 percent of false positives in patients with initial BI-RADS 3 and 4 assessments into benign BI-RADS categories.

The Rapid CTP AI software offered 23 percent greater detection of medium vessel occlusions in comparison to the Viz CTP AI software, according to research presented at the European Stroke (Organization) Conference (ESOC).

The cloud-based platform reportedly facilitates AI-enhanced teleradiology workflow efficiencies across multiple systems and facilities.

Incorporating six independent predictive factors for malignant thyroid nodules with peripheral calcifications, an emerging ultrasound-based nomogram provided an 88.2 percent AUC in validation testing.

Emerging research suggests that abbreviated breast MRI offers comparable sensitivity and specificity as multiparametric MRI in women with extremely dense breasts with a nearly 50 percent reduction in reading time for radiologists.