CT

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

An emerging artificial intelligence (AI) software reportedly detected liver metastases in 53.7 percent of cases involving missed findings by radiologists.

In a new study involving over 11,700 chest computed tomography (CT) scans in oncology patients, adjunctive artificial intelligence software demonstrated a sensitivity rate of 91.6 percent for incidental pulmonary embolism (IPE) and reduced median detection and notification time for IPE-positive scans from multiple days to one hour for a radiology department at a comprehensive cancer center.

Powered by artificial intelligence (AI), the Rapid NCCT Stroke modality is reportedly the first medical device to gain FDA 510(k) clearance for detecting suspected large vessel occlusion and intracranial hemorrhage based on assessment of non-contrast computed tomography (NCCT).

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

Over the course of a decade, people with preexisting emphysema who continued smoking had the greatest decline in lung density, according to computed tomography (CT) findings from a study involving over 8,400 total participants and over 4,100 current smokers.

The artificial intelligence (AI) triage and notification indications include acute subdural/epidural hematoma and acute subarachnoid hemorrhage for head computed tomography (CT) imaging.

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New prospective research demonstrated that the combination of ultra-low-dose (ULD) computed tomography (CT) and an artificial intelligence (AI)-based denoising method offered a greater than 95 percent sensitivity rate for differentiating negative and actionable Lung-RADS category findings with significantly reduced radiation dosing.

A recent prospective study found that progression-free survival (PFS) and disease-specific survival (DSS) were significantly associated with breast cancer tumor treatment response on 2-(18F)FDG-PET/CT imaging in comparison to contrast-enhanced computed tomography (CT), which showed no evidence of a significant association with tumor response.

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

A recent study showed that artificial intelligence (AI)-based worklist reprioritization led to a mean reduction of 12.3 minutes in radiology report turnaround time for positive computed tomography pulmonary angiography (CTPA) exams that were positive for pulmonary embolism.

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

A retrospective review of insurance claim data from over one million people eligible for lung cancer screening with low-dose computed tomography (LDCT) found that less than five percent were screened.

In a study of over 1,000 patients who had surgery for invasive lung adenocarcinoma, researchers found that solid adenocarcinoma on pre-op CT imaging was associated with more than double the risks of recurrence and brain metastasis in patients with clinical stage I disease in comparison to ground-glass opacity (GGO) adenocarcinoma.

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.

Viz AAA is reportedly the first artificial intelligence (AI)-enabled algorithm to garner FDA 510(k) clearance for the detection of abdominal aortic aneurysm.

Through artificial intelligence (AI) assessment of non-contrast computed tomography (CT) scans, the Brainomix 360 e-ASPECTS software provides an automated ASPECTS score and heatmap to enhance stroke imaging.

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

Noting that computed tomography (CT) scans are obtained for more than 30 million emergency department (ED) patients annually and that 31.3 percent of ED CT scans reveal incidental findings, representatives from the American College of Radiology (ACR) and the American College of Emergency Physicians (ACEP) recently collaborated on best practice recommendations for addressing incidental imaging findings in EDs.

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

Emerging research from a multicenter study found that COVID-19 vaccination was affiliated with a lower likelihood of high computed tomography (CT) severity scores and typical CT findings for COVID-19 in comparison to unvaccinated patients.