
Given the essential role of X-ray filtration in computed tomography (CT) systems, this author discusses key principles and emerging advances with filters and spectral shaping to facilitate quality imaging and optimal radiation dosing.

Reportedly offering improved delineation of pulmonary structures and greater accuracy with computed tomography (CT) values of pulmonary tissue, the artificial intelligence (AI)-powered LungQ 3.0.0. may facilitate enhanced precision and efficiency with interventional procedures such as lung volume reduction and ablation procedures.

Given the essential role of X-ray filtration in computed tomography (CT) systems, this author discusses key principles and emerging advances with filters and spectral shaping to facilitate quality imaging and optimal radiation dosing.

Touching on a variety of topics in radiology, here are the top five most well-viewed content from Diagnostic Imaging in 2023.

Catch up on the most well-read computed tomography (CT) articles from 2023.

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.”

The Aquilion ONE/Insight Edition and Aquilion Serve SP computed tomography (CT) systems reportedly offer enhanced deep learning reconstruction and intuitive workflow efficiencies.

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

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.

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.

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 AI-related news and research in radiology over the past month.

Through the use of artificial intelligence (AI) and imaging modalities such as ultrasound, CT, and MRI, the newly FDA-cleared VisAble.IO software reportedly enhances planning and real-time assessment for liver tumor ablation procedures.

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

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

In comparison to clinical-radiologic assessment, a deep learning CT radiomics nomogram had a 10 percent higher AUC and a 27 percent higher specificity for predicting the macrotrabecular massive subtype of hepatocellular carcinoma in external data testing.

Catch up on the top AI-related news and research from the past month.

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

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