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.

Deep learning automates head CT reformatting, bolstering workflow efficiencies
Manual processes for generating reformats are susceptible to variability, due to factors such as patient positioning, comfort and individual technologist preferences.
How to take your CCTA program to the next level
Changing society guidelines and insurance policies have resulted in more interest in CCTA. To help your CCTA program expand, one expert told Cardiovascular Business, it is important to remember the close relationship between cardiology and radiology.
Medicare policy sowing cancer screening confusion, American College of Radiology says
The college is urging the federal payment program to modify its policies to reflect expanded coverage for CT-based colorectal cancer screening.
AI algorithm effectively repurposes CT scans to screen for 2 key chronic diseases
Experts are hopeful that routine CT scans could serve the dual purpose of screening patients for both osteoporosis and heart disease.
Coroner calls for action after radiology staff scans the wrong patient, fails to catch mistake
A radiology department is in hot water following a case of mistaken identity that resulted in a delayed diagnosis.

Deep learning image reconstruction decreases radiation dose 43% on coronary CTA scans

The algorithm doesn't add nor lose any image information needed to assess coronary plaques, experts said.

Advocates applaud CMS proposal to expand eligibility for low-dose CT lung cancer screening

The Centers for Medicare & Medicaid Services is accepting comment on the proposal through Dec. 17 and hopes to finalize it by February.

Patients prefer spiral breast CT over digital mammography—and diagnostic results are comparable

Premenopausal women benefit most from spiral breast computed tomography, experts said this week.

CMS says evidence is sufficient to expand Medicare coverage for low-dose CT lung cancer screening

The Centers for Medicare & Medicaid Services wants to lower the starting age from 55 down to 50 while also modifying required smoking pack-years.

Lung cancer deaths decrease, but only about 6% of high-risk patients screened using low-dose CT

Providers are struggling to address disparities in minority communities, the American Lung Association reported.

In report to Congress, task force touts need to improve CT lung cancer screening uptake

USPSTF wants to unearth ways to increase uptake in clinical practice, particularly among those at higher risk of death from the disease.

Low-dose CT scans just as accurate as standard for diagnosing appendicitis

The findings should encourage physicians to utilize LDCT in emergency settings to avoid unnecessary radiation.

Radiologists must be aware of key CT findings in patients with 'devastating' COVID complication

A CT scan can offer a prompt diagnosis and guide subsequent surgical intervention for patients with acute mesenteric ischemia, a rare but deadly disease reported in some COVID cases.

Computed Tomography

Deep learning automates head CT reformatting, bolstering workflow efficiencies

How to take your CCTA program to the next level

Medicare policy sowing cancer screening confusion, American College of Radiology says

AI algorithm effectively repurposes CT scans to screen for 2 key chronic diseases

Coroner calls for action after radiology staff scans the wrong patient, fails to catch mistake