CT

COVID-19 Damage, but No Virus in the Brain; Non-Ferromagnetic Bullets and the MRI; Six Trends to Watch in 2021; and AI and Ethics

Using findings captured on CT scans, radiologists can improve the planning and outcomes for this surgery, improving the care of transgender women.

It’s a New Year – what should you keep your eyes on and where should you anticipate change?

As imaging volumes continue to rise, experts offer a targeted solution that could lead to faster throughput.

PET scans show activity of the brain network that is linked to changes in connectedness.

Radiologists can use X-rays and CT scans to identify features left by non-ferromagnetic ballistic fragments, opening the door to MRI imaging for some patients.

The Journal of the American College of Radiology tackles the provocative in its first issue of 2021.

Here's what to expect this week on Diagnostic Imaging.

Thanks to COVID-19, CT was largely in the spotlight this year, but these Top 5 stories show advancements for the modality in other areas, as well.

From imaging guidance to clinical presentations to disinfection procedures, coverage of all the work around COVID-19 this year gave the industry a great deal of insight into the pandemic.

From a central role in the COVID-19 pandemic to artificial intelligence advancements, CT further secured its role as a valuable arrow in the radiologist’s quiver.

An early analysis shows that low-dose CT screening for lung cancer has still not fully rebounded, leading to later detection of cancers.

Cybersecurity report finds millions of medical images, including X-rays and CTs, can be accessed worldwide without hacking tools.

Visual emphysema CT patterns at baseline can help providers determine how the condition will advance in both current and former smokers.

The December 2020 Diagnostic Imaging eBook.

68Ga-pentixafor can clearly distinguish between healthy and malignant tissue on both CT and MRI scans.

American College of Radiology/Alzheimer’s Association study is now recruiting African American and Latino patients to determine whether amyloid PET scans can help with more accurate diagnosis and treatment decisions.

With a newly developed segmenting method, it is possible to configure large amounts of data from various imaging datasets automatically and with little expertise.

Low-dose CT screening for lung cancer does present risks of false-positives and over-diagnosis, but for heavy or ex-smokers, it is worth it.

DECT and electron density offers more accurate differentiation between metastatic and non-metastatic lymph nodes when compared to FDG PET/CT.

Novel deep learning model can provide needed information from multi-modal imaging even when some modalities are absent.

Whether a patient has a pulmonary embolism, a higher-than-normal D-dimer value can help identify patients for whom CTPA is most appropriate, alleviating some workload from emergency radiology.

Using deep learning analysis with abdominal CT scans provides a more accurate body composition measurement that can predict which patients will suffer major cardiovascular events within five years.

Using high-resolution micro-CT with bones exposed to fire could help forensic investigators determine the timing of murders.

The mechanisms, magnitude, manifestations, and management of stroke during the pandemic.

By incorporating non-imaging data, the algorithm can effectively pinpoint which patients will need ICU intervention.

Low-dose CT for lung cancer screening offers significant benefits for detection and follow-up, but utilization, to date, has been low. Debra S. Dyer, M.D., chair of the American College of Radiology's Lung Cancer Screening 2.0 Committee discusses what the screening provides and the challenges to more widespread implementation.

CT scans reveal impaired lung function in individuals who use biomass, such as wood or wildfires, to cook.

Images reveal that adolescents experienced a loss in volumetric bone mineral density after sleeve gastrectomy and extreme weight loss.

Here's what to expect this week on Diagnostic Imaging.