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

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.

Emerging research suggests that a computed tomography (CT)-based radiomics model can predict FOXM1 expression and is independently prognostic for clear cell renal cell carcinoma.

Review the case and test your knowledge to make the correct diagnosis.

In comparison to standard-dose lung CT, the combination of deep learning image reconstruction with ultra-low-dose CT offered similar detection and characterization of pulmonary nodules at a nearly 93 percent reduction of radiation dosing, according to new research.

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

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

The use of computed tomography (CT) for cases of minor head trauma was associated with a 29 percent higher incidence of hematologic malignant neoplasms in comparison to those with no CT, according to a new study involving over 2,400,000 pediatric patients.

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

For the detection of nodal metastases in patients with early-stage cervical cancer, 18F FDG PET-CT offered a sensitivity rate that was double that of CT and 32 percent higher than MRI, according to newly published research.

In a computed tomography (CT) study assessing over 450 patients who had lung adenocarcinoma resection, researchers noted zero recurrence at five years and 97.7 percent recurrence-free survival at seven years for patients with resected pure ground glass nodules.

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

Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.

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

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

The syngo Virtual Cockpit platform reportedly enables remote access and image acquisition for CT, MRI and positron emission tomography (PET), and facilitates clinician collaboration across multiple sites.

In a nearly two-year study of over 300,000 CT exams, researchers noted a 56.8 percent increase in the frequency of automated CT protocols for outpatient CT examinations.

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.

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

Patients with benign pulmonary absorbable subsolid nodules (AB-SSNs) have a greater frequency of nodules in comparison to those with non-absorbable benign subsolid nodules (NB-SSNs) and patients with malignant subsolid nodules (M-SSNs), according to a recent study of follow-up non-contrast CT exams in over 400 patients.

The BioTraceIO software reportedly facilitates visualization of liver tumor ablation procedures based on real-time ultrasound imaging and provides superior post-op estimates of ablation zone volume in comparison to computed tomography.

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

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.”