Oncology CT

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

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

Catch up on the most-well viewed radiology content in January 2025.

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

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

For patients previously assessed with LI-RADS LR-4 and LR-M presentations based on MRI or CT findings, the use of contrast-enhanced ultrasound led to 30 percent of these patients having LR-5 assessments definitive for hepatocellular carcinoma.

Emerging research suggests that a deep learning model may offer 92 percent sensitivity in lung tumor detection on CT scans and up to a 59 percent reduction in tumor segmentation time.

In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.

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

In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.

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

Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.

Touching on a variety of topics in radiology, here are the top five most well-viewed content from Diagnostic Imaging in 2024.

Catch up on the most well-read computed tomography (CT) articles from 2024.

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

A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.

Catch up on the most-well viewed radiology content in November 2024.

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

While a large retrospective study found that interstitial lung abnormalities (ILAs) were evident on 1.7 percent of computed tomography (CT) scans, researchers found that 43.9 percent of ILAs, including fibrotic ILAs, were not reported.

For patients undergoing curative treatment for lung cancer, coronary artery calcification scoring via computed tomography has a 97 percent likelihood of determining their risk for major cardiovascular events, according to a new meta-analysis.

The Spectral CT 7500 RT system reportedly combines 4D conventional computed tomography (CT) with the enhanced quantification and visualization of spectral CT to facilitate improved precision with radiotherapy.

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

Facilitating optimal use of contrast, the Medrad Centargo CT Injection System reportedly combines user-friendly features with workflow efficiency for high-volume CT departments.

In newly published guidelines, researchers discuss the utility of CT, MRI and PET/CT in the diagnosis, staging, treatment monitoring and follow-up imaging for peritoneal metastases in patients with ovarian or colorectal cancer.

The Ezra Blueprint scan reportedly includes quantitative brain measurements, coronary calcium scoring (CAC) and a full-body MRI that provides screening for over 500 conditions.

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

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

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

A machine-learning-based model demonstrated an 87 percent area under the curve and a 90 percent specificity rate for predicting interstitial lung abnormality on CT scans, according to new research.

In a study involving 396 confirmed neuroendocrine tumor liver metastases, researchers found that Gd-EOB-DTPA-enhanced MRI offered 19 percent higher sensitivity than polyenergetic CT.