Kate Madden

The Neiman Imaging Comorbidity Index (NICI) outperforms the Charlson Comorbidity Index (CCI) for predicting advanced imaging use, according to a team from the Harvey L. Neiman Health Policy Institute (HPI) in Reston, VA.

Using an AI-based prioritization algorithm with CT chest pulmonary angiography (CTPA) to diagnose acute pulmonary embolism could enhance patient care by getting imaging results to clinicians more quickly, according to research shared at the recent RSNA meeting.

A new method of MRI lung scanning shows the effects of treatment for compromised lung function in transplant patients, U.K. researchers have reported.

A novel machine-learning algorithm used with MRI can harmonize brain volumetric data of patients undergoing Alzheimer's disease assessment gathered from different scanners, researchers have reported.

A new method of MRI lung scanning shows the effects of treatment for compromised lung function in transplant patients, U.K. researchers have reported.

Prostate-specific membrane antigen (PSMA)-PET/CT bests conventional imaging when it comes to identifying high-risk, nonmetastatic, hormone-sensitive prostate cancer, researchers have reported.

Women with BRCA1/2 germline mutations are often denied breast MRI -- despite the fact that the exam is recommended for this population, researchers have reported.

Body composition data from routine CT imaging helps clinicians diagnose, develop treatment, and predict outcomes of metastatic non-small cell lung cancer (mNSCLC).

Postoperative MRI surveillance appears to lower the odds of advanced second breast cancer in women with a personal history of the disease, researchers have reported.

Fears about contracting and spreading COVID-19 led to delays in lung, breast, and colorectal cancer screening during the pandemic among Asian American women, researchers have found.