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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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.

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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.

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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. 

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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. 

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Incorrect CT protocol leads to radiologist overlooking liver cancer, patient’s untimely death

The physician had assigned the standard, four-phase protocol for liver imaging, but the radiographer instead performed a single, portal-venous phase only.

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Only 38% of patients receive appropriate follow-up care for incidental pulmonary nodules

The findings were derived from 2,500 cases diagnosed between 2018-2019 at an urban tertiary care center and followed for two years afterward.

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