Computed Tomography

Computed tomography (CT) is a fast and accurate imaging modality often used in emergency settings and trauma imaging. CT scans, with or without (or both) iodinated contrast are frequently used to image the brain, chest, abdomen and pelvis, but also have post-imaging reconstructive capabilities for detailed orthopedic imaging. It is now a standard imaging modality in emergency rooms to quickly assess patients. CT uses a series of X-ray images shot as the gantry rotates around the patient. Computer technology assembles these into into a dataset volume than can be slices on any access, or advanced visualization software can extract specific parts of the anatomy for study. Find more content specific to cardiac CT.

CCTA will play an essential role in the cath labs of the future
Noninvasive coronary CT angiography is growing more and more important as time goes on, helping cardiologists make critical treatment decisions. Carlos Collet, MD, PhD, discussed the technique's potential to be a real game-changer for patient care in a new interview.
Significant variability found in pediatric CT imaging interpretations
Such discordance between pediatric and general radiologists could result in care delays and treatment changes.
AI bests radiologists at predicting lung cancer treatment responses
More accurate response assessments could give providers an opportunity to proactively manage treatment decisions in the future.
FDA clears AI solution for identifying large vessel occlusions on CTA
If left untreated, LVOs can cause ischemic strokes. The algorithm has the potential to significantly reduce time to treatment in these emergency scenarios.
Beyond just nodules—model uses all low-dose CT data to make long-term lung cancer risk predictions
New findings published in RSNA's Radiology highlight the shortcomings of using nodule characteristics and patient history alone to predict an individual’s true cancer risk.

New study calls ED imaging protocols for geriatric head injuries into question

The new data suggest that admitting patients for observation and additional imaging to monitor for delayed intracranial hemorrhage might often be unnecessary.

The feasibility of reduced contrast flow rates in PE studies

Around one out of every 1,000 people in the U.S. are diagnosed with a pulmonary embolism every year, but even more undergo imaging to rule out clots.

Peter Monteleone, MD, an interventional cardiologist, national director of cardiovascular research at Ascension Health, and assistant professor, UT Austin Dell School of Medicine, explained the use of artificial intelligence (AI) to independently identify an emergency stroke or pulmonary embolism (PE) finding on a CT scan and automatically alert critical care team members. His health system uses this type of AI for earlier activation of the pulmonary embolism response team (PERT).

AI critical care software revolutionizes emergency response

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

Imaging study reveals 'significant deformities' in lungs of some COVID patients

These changes could have long-lasting implications for lung function, authors of the new study warn.

New data underline importance of expanding Medicaid to address poor lung cancer screening uptake

“Also needed are institutional and societal efforts to address LCS capacity, including screening infrastructure investments and quality benchmarking," experts wrote in JAMA Internal Medicine.

quality imaging appropriateness clinical decision support CAS AUC

Emergency medicine physicians develop novel approach that reduces unnecessary imaging by half

To fine-tune triage, scientists have created a clinical prediction rule, incorporating it into an algorithm to guide ED providers considering CT or X-ray.

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

ACR urges radiologists to speak up as Medicare considers covering imaging AI software

New York-based vendor Cleerly recently petitioned CMS to pay for its primary CT software, which assesses scans for signs of coronary artery disease.

EHR interventions increase lung cancer screening by 30% but still leave over half of patients behind

Although CT lung cancer screening is known to improve detection rates and health outcomes, compliance among eligible patients remains lackluster.

Computed Tomography

CCTA will play an essential role in the cath labs of the future

Significant variability found in pediatric CT imaging interpretations

AI bests radiologists at predicting lung cancer treatment responses

FDA clears AI solution for identifying large vessel occlusions on CTA

Beyond just nodules—model uses all low-dose CT data to make long-term lung cancer risk predictions