Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography, and the nuclear imaging modalities of PET and SPECT.

AI model nearly halves false positive rates for lung cancer CT screenings
Reducing false positives could decrease the frequency of unnecessary procedures, lower the associated costs and also ease patient anxiety concerning CT results.
A robot may soon be handling patients' ultrasounds in a Wisconsin health system
The machine will be operated remotely by a sonographer who has been trained to conduct remote ultrasound exams.
ED pivots to virtual radiology service, slashing CT turnaround times and lengths of stay
Syracuse, New York-based Upstate Medical University had previously relied on rad residents to handle initial reads, with attendings finalizing interpretation in the a.m.
COVID-induced neuroinflammation can last 2 years or longer, according to new PET data
These findings are important to consider with regard to patients’ long-term health, as chronic inflammation has been implicated in cognitive decline.
AI outperforms radiologists at predicting cancer treatment response based on imaging
These findings have the potential to change how treatment decisions are made in the future, researchers suggest.

MRI system advances include helium-free MRI systems (left is Philips version of this system), and compressed sensing (right, GE's version of this technology), which can greatly reduce scan times. Both technologies were mentioned in an overview by Signet Research of new tech that will be at RSNA 2022.

VIDEO: Overview of MRI market and technology trends

Bhvita Jani, research manager, Signify Research, explains some key trends and technology advances in the magnetic resonance imaging (MRI) market leading into the Radiological Society of North America (RSNA) 2022 meeting.

Top MRI trends include helium-free systems, compressed sensing and AI

Signify Research outlines several key technologies and trends in MRI to look for at the Radiological Society of North America 2022 meeting.

AI identifies breast lesion subtypes, could prevent unnecessary biopsies

In a new paper in Radiology, experts explain how the use of artificial intelligence to identify lesion subtypes could benefit both clinics and patients.

Some long COVID patients display thyroiditis on imaging a year after recovery

Though it is not yet clear why some COVID patients develop thyroiditis and some do not, researchers maintain that their findings “support the hypothesis of a direct thyroid gland involvement in SARS‐CoV‐2 infection.”

New DL model detects effects of long COVID using only x-rays

The model could be beneficial for long COVID patients in areas where CT scans are not readily available, researchers concluded.

Dual-energy CT offers insight into how lung cancer patients might respond to surgery

“In patients with lung cancer, DECT has further potential to quantify postsurgical global and regional changes in lung volume and perfusion,” authors of a new paper in AJR suggested.

The fall and rise of trauma CT on the front and back of COVID-19

When COVID-19 social-distancing orders eased across a densely populated county in the southwest, trauma visits spiked 35% over the pre-pandemic normal. This was accompanied by a 17% increase in average daily trauma CT exams.

A GE Revolution CT system on display at the 2022 Society of cardiovascular Computed Tomography (SCCT) meeting is an example of the types of the systems being sought in the U.S. and Western Europe replacement CT market. It features AI enhanced features to automate protocol and help reduce dose, 160 mm of anatomical coverage per rotation and offers spectral imaging using fast kV switching between different energies during one scan.

Trends and new technology in computed tomography systems

Leading up to the 2022 RSNA meeting, Signify Research shares the trends and new innovations in CT scanner technology it has seen in recent years.

Medical Imaging

AI model nearly halves false positive rates for lung cancer CT screenings

A robot may soon be handling patients' ultrasounds in a Wisconsin health system

ED pivots to virtual radiology service, slashing CT turnaround times and lengths of stay

COVID-induced neuroinflammation can last 2 years or longer, according to new PET data

AI outperforms radiologists at predicting cancer treatment response based on imaging