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.

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Use of unnecessary neuroimaging for patients with dizziness prevalent in outpatient settings

Quality improvement efforts have sought to address such low-value diagnostic testing in the ED, with little attention paid to ambulatory settings, experts wrote in JAMA

colon colorectal cancer CTC

American College of Radiology, patient advocacy groups urge feds to fix CTC coverage gap

ACR and others have submitted a formal national coverage determination request, asking the agency to address payment gaps for virtual colonoscopies. 

Patient-reported risk factors increase unnecessary testing before contrast-enhanced CT

In a new study published in the AJR, pre-scan same day eGFR testing revealed that out of 10,256 patients who had these labs, only 1.4% displayed levels below the recommended cutoff.

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Business analytics help radiology department boost CT use for fragile patients despite COVID disruptions

Sant’Andrea University Hospital in Rome saw overall imaging volumes plummet 21.5% but improved numbers among vulnerable populations using real-time data, experts wrote in European Radiology

Patients' T-shirt size an accurate measurement for CT dose reference levels

Experts suggest that their findings indicate dose reference levels could be shirt size specific in the not so distant future, according to a study published in the European Journal of Radiology

AI model able to ID early signs of type 2 diabetes on imaging results

The authors hope their findings could lead to earlier diagnoses and improvements in patient care. 

Artificial intelligence shows promise predicting patients’ need for CT after traumatic brain injury

Only 10% of such scans reveal positive findings for TBI, raising concerns about overuse and radiation exposure among children, experts wrote in JACR

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AI predicts COVID prognosis at near-expert level using CT scoring system

A deep convolutional neural network was able to predict hospital stay, ICU admission and intubation when scoring chest CT images of hospitalized COVID patients.