Latest News

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.

A model combining MRI and ultrasound findings yielded a 93 percent AUC for predicting microvascular invasion in hepatocellular carcinoma.

The updated Sonosite iLOOK ultrasound reportedly offers a variety of features designed to streamline the use of point-of-care ultrasound for vascular access procedures.

General radiologist assessment of mammograms with adjunctive AI led to a significant increase in cancer detection rate akin to that of breast imaging specialists, according to new research.

In a comparative study involving 51 women who had systemic treatment for metastatic breast cancer, researchers found that all FDG-PET scans identified measurable target lesions according to PERCIST criteria in comparison to 35 percent of CT scans as per RECIST 1.1 criteria.

Can the newly launched MIM Anyware platform bolster imaging access and multidisciplinary collaboration?