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

In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”

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

With algorithms utilized in aerospace technology, the CT LVAS software reportedly provides enhanced assessment of regional airflow and lung ventilation.

Utilizing computed tomography (CT) guidance, researchers have found that performing a minimally invasive anesthetic injection into the stellate ganglia may help address parosmia due to COVID-19, according to study results that will be presented at the annual Radiological Society of North America (RSNA) conference next week.

The artificial intelligence (AI)-powered technology reportedly offers decreased noise magnitude while enhancing image reconstruction for cardiovascular computed tomography (CT) scanners.

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

Performing computed tomography pulmonary angiography (CTPA) with a high-pitch photon counting detector (PCD) offers enhanced signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) at a reduced radiation dose in comparison to employing an energy-integrating detector (EID), according to new research.

Offering a combination of simplified and personalized scanning for patients at significantly lower lifecycle costs than other dual-source CT systems, the Somatom Pro.Pulse may be a viable option for smaller rural facilities and outpatient imaging centers.

For patients who had a complete metabolic response to radiation treatment for head and neck cancer, the authors of a recent study found that surveillance imaging with PET/CT, MRI or CT did not improve outcomes in comparison to expectant management.

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

Noting that initial imaging sensitivity is a key factor in cost-effectiveness for patients who do not require acute treatment for dizziness, researchers found that specialized MRI (including multiplanar high-resolution DWI) provided the most benefit in a comparative trial of neuroimaging modalities.

The Rapid SDH module on the RapidAI platform reportedly offers a sensitivity rate of 93 percent for detection of hemispheric subdural hematoma on non-contrast computed tomography (CT) scans.

Assessing 20-year follow-up data from a cohort for an international study of annual low-dose CT screening for lung cancer, researchers noted an 81 percent survival rate after an initial primary lung cancer diagnosis for over 1,200 patients with a median 43 pack-year smoking history.

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

In a newly updated guidance, the American Cancer Society recommends the expansion of annual lung cancer screening with low-dose computed tomography (LDCT) for current or previous smokers 50 to 80 years of age who have a 20-pack-year or greater history of smoking.

Featuring 12 prior FDA clearances for chest X-ray and non-contrast head CT, the Annalise Triage platform may help streamline radiology workflows and prioritize timely diagnosis of urgent conditions.

In a recent video interview series, Dushyant Sahani, M.D., discussed the critical role of contrast media in diagnostic imaging, lessons learned from the contrast media shortage, key considerations with generic agents and currently unmet needs with contrast agents.

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

Photon-counting computed tomography (PCCT) offers a number of salient advantages over conventional CT, including improved image resolution and contrast-to-noise ratio, enhanced denoising capability and inherent spectral sensitivity.

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

A 49-study meta-analysis revealed that MRI-based and CT-based radiomics models outperformed clinical models for predicting recurrence of hepatocellular carcinoma.

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

In a multicenter cohort of patients with interstitial lung disease (ILD), a deep learning classification tool demonstrated an 81 percent sensitivity rate and a 77 percent specificity rate for predicting usual interstitial pneumonia on computed tomography (CT) scans.

Offering dedicated computed tomography (CT) assessment of the cardiovascular system, the SpotLight and SpotLight Duo systems reportedly provide high-resolution imaging for diagnosis and monitoring of cardiovascular diseases.

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

While the artificial intelligence (AI) triage system significantly reduced wait times for computed tomography pulmonary angiography (CTPA) results that were positive for pulmonary embolism (PE), researchers found no significant differences in the use of adjunctive AI with respect to accuracy rates and specificity rates.