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.

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.
‘Direct-to-patient’ digital prompt boosts CT lung cancer screening uptake
Researchers with two academic health systems recently tried a new approach to increase LDCT uptake, reaching patients electronically outside of a regular appointment and asking them to request a screening.
Over half of emergency CT requests are considered 'inadequate'
Up to 72% of CT requisitions from ED providers could be considered inadequate according to RI-RADS, which was developed to evaluate the clinical reasoning quality of imaging orders.

Rethinking ICM storage could help imaging departments reduce waste by 59%

“While drug pricing is not opaque and absolute costs of medications can vary widely, any waste comes at a cost," researchers wrote in a new analysis.

Use of advanced imaging skyrockets in ED, and radiologists should be ready for more

The surge in imaging utilization is independent of increased patient volumes, “suggesting that other extrinsic drivers” contributed, researchers noted.

SCCT President Ed Nicol, MD, explains key trends trends in cardiac CT imaging at the 2023 meeting. #SCCT #SCCT23 #SCCT2023

Key trends and takeaways in cardiac CT at SCCT 2023

Several key trends at the 2023 annual meeting of the Society of Cardiovascular Computed Tomography were outlined by society President Ed Nicol, MD, including AI, reimbursement issue, business management discussions, and a growing interest in cardiac CT leading to record attendance this year.

colorectal cancer colon CTC CRC colonoscopy

CT should not be used to screen for colorectal cancer, American College of Physicians charges

Its decision drew concern from the radiology community, which has fought to increase awareness around this alternative to colonoscopy.

HeartFlow's RoadMap technology where AI reads the image in a first pass to highlight areas of interest with for the radiologist or cardiologist on coronary CT scan. The technology was shown to reduce reading time by 25%.

Three studies show value of AI to speed cardiac CT reads and soft plaque evaluation

AI to help interpret cardiac CT was shown to reduce exam read times to improve workflow efficiency, and improve patient diagnostics with additional information on soft plaques. Data was presented in three HeartFlow AI technology studies at SCCT 2023.

EHR nudge helps health system drop use of unnecessary lumbar X-rays by 53%

Researchers with NYC Health + Hospitals detailed their large-scale quality improvement project in the Journal of the American College of Radiology.

artificial intelligence money finance acquisition

RapidAI raises $75M in series C financing

The San Mateo, California-based startup said the money will help it tackle more diseases and add further functions to the company's platform.

AI boosts value of CT lung cancer screening by helping predict death from other diseases

Experts see great promise for improving population health outcomes with such opportunistic screening via low-dose CT, according to a study published in Radiology.

Computed Tomography

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

‘Direct-to-patient’ digital prompt boosts CT lung cancer screening uptake

Over half of emergency CT requests are considered 'inadequate'