
The use of adjunctive AI led to higher detection of breast cancer in women with dense breasts as well as increased detection of invasive cancer and lobular cancer, according to new research involving over 100,000 screening DBT exams.

The use of adjunctive AI led to higher detection of breast cancer in women with dense breasts as well as increased detection of invasive cancer and lobular cancer, according to new research involving over 100,000 screening DBT exams.

Noting the significant gap of subspecialty radiology expertise in rural health-care settings, this author says improved interoperability between systems can facilitate equity of care without adding significant capital costs.

In a recent interview, Jeremy Heit, M.D., Ph.D., discussed key neuroimaging takeaways from changes to the updated guideline from the American Heart Association and the American Stroke Association for early evaluation and management of patients with acute ischemic stroke.

Whether it’s assuming an annual pay increase or assuming that AI won’t affect one’s job, the old adage that the only guarantee in life is change remains the more reliable truth.

Catch up on a variety of new FDA clearances and approvals in radiology from the past week.

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

Previously approved by the FDA in 2022, the macrocyclic gadolinium-based MRI contrast agent gadopiclenol can now be utilized to detect lesions with abnormal vascularity in the central nervous system and other parts of the body for children under the age of two.

New MRI research suggests that adjunctive AI may lead to a significant reduction of unnecessary prostate biopsies.

The FDA clearances include the 1.5T SIGNA Sprint with Freelium MRI platform, the 3T SIGNA Bolt MRI system and the AI-powered SIGNA One, which reportedly enhances MRI workflow efficiencies.

In a recent interview, Yulin Ge, M.D., discussed emerging research showing correlations between brain MRI findings in patients with Long Covid and established blood biomarkers for Alzheimer’s disease.

New research revealed that a “quadruple-low” radiation doing protocol with photon-counting CT provided significantly higher image quality and reduced contrast-induced nephropathy in comparison to energy-integrating detector CT (EID CT) for patients with lung cancer.

The Mammotome Prima™ MR Dual Vacuum-Assisted Breast Biopsy System reportedly enables larger tissue samples and facilitates more efficiency in procedure setup and cleanup with 75 percent less tubing in comparison to other systems.

A machine learning model incorporating cardiac MRI and clinical data provided a 91 percent AUC for predicting major adverse cardiovascular events (MACE) in patients with STEMI, according to a new study involving over 1,000 patients and a median follow-up of 40 months.

Emphasizing improved quantification, the Kosmos POCUS platform now offers a biometric application for assessing fetal viability, measurements to facilitate evaluation of the uterus and ovaries, and enhanced reporting for vascular exams.

In the debut of his new “Interventional Radiology in Focus” series, Mina Makary, M.D., discusses the continued emergence of genicular artery embolization as a viable treatment alternative for patients with knee osteoarthritis.

In comparison to 68Ga-PSMA-11, 64Cu-SAR-bisPSMA more than doubled the rate of detection for prostate cancer recurrence and facilitated changes to the treatment plan in 44 percent of patients, according to research to be presented at the upcoming European Association of Urology (EAU) Congress.

While tempting albeit questionable opportunities may arise periodically that may help offset reimbursement cuts, honesty remains the higher form of currency.

Sharing his perspective as well as insights from recently published research, Benjamin Kann, M.D., discussed the utility of AI foundation models for accessing an array of diagnostic and prognostic data from brain MRI scans.

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

In the debut of her new “Breast Imaging in Focus” series, Manisha Bahl, M.D., discusses the recently published Lancet study on AI, mammography and interval breast cancer, and shares her perspective on the potential impact of these findings for breast radiologists.

Total plaque volume > 87 mm3 derived from coronary computed tomography angiography (CCTA) was associated with double the risk for major adverse cardiovascular events (MACE), according to a study of over 4,200 symptomatic patients with an unknown history of coronary artery disease (CAD).

The use of the SPECT/CT agent 99mTc-maraciclatide may enhance detection and differentiation for interstitial lung disease, which is associated with a large variety of disorders.

Artificial intelligence scores > 73.5 percent for mammography were associated with over a threefold higher cumulative incidence rate for ipsilateral recurrence of DCIS in women treated with breast-conserving surgery, according to new research.

In a recent interview, Gary Ulaner, M.D., Ph.D., discussed preliminary research with the newly patented 61Cu-NU101 radiodiagnostic agent and the potential with the agent’s half-life in expanding access to molecular imaging for prostate cancer detection.

Emphasizing that specialized standalone AI tools are on the verge of being obsolete, this author maintains that successful AI platforms will facilitate access to clinical context data, adaptability and seamless integration into radiology workflows.

Employing digital breast tomosynthesis for biopsy guidance facilitated significantly lower radiation dosing than digital mammography guidance with no difference in malignancy rates, according to new research involving over 1,600 patients.

In a recent interview, Benjamin Kann, M.D., discussed new research highlighting the capability of an AI foundation model to obtain a variety of diagnostic and prognostic data from brain MRI scans.

If you knew the daily level of challenges a radiology supervisor or manager encounters, would you still aspire to the role?

For the detection of lung cancer on low-dose CT, the eyonis LCS software reportedly offers greater than 90 percent sensitivity, specificity and negative predictive value (NPV).

Researchers found that PSMA PET/CT offered 18 percent higher accuracy than mpMRI in detecting bilateral intraprostatic disease, according to a new study involving patients with intermediate or high-risk prostate cancer.