Strategies to help guide nuclear radiology teams at various healthcare systems in 2021 and beyond

A year after COVID-19 turned the world upside down, the American Society of Nuclear Cardiology (ASNC) asked members how they are approaching the quest for nuclear cardiology lab improvement. The society wanted to know if the pandemic and its associated pressures led to changed priorities, or if some projects are taking a backseat to more pressing priorities.
This is an example of 3-D ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.
Many governmental screening programs encourage the use of breast ultrasound for women with dense breast tissue because it can differentiate between normal dense tissue and lesions better than traditional 2-D mammography.

The breast ultrasound market is seeing growth, driven largely by the proliferation of recent legislation aimed at addressing the unique challenges of imaging dense breast patients.
While the Mammography Quality Standards Act (MQSA) and the introduction of EQUIP (Enhancing Quality Using the Inspection Program) have been successful in standardizing and enhancing mammographic imaging quality, inadequate breast positioning can dramatically impact the ability of radiologists and technicians to quickly and accurately detect breast cancer and potentially malignant lesions in their patients

During mammography, proper breast positioning is critical to the radiologist’s ability to identify potential lesions, yet it can be one of the most challenging aspects of image acquisition.

September 15, 2021 — Revised guidelines for lung cancer screening eligibility are perpetuating disparities for racial/ethnic minorities, according to a new study in Radiology.

To get more flexibility and cost savings from storage, healthcare organizations are increasing their investments in the cloud

Healthcare organizations today are storing petabytes of medical imaging data — lab slides, X-rays, magnetic resonance imaging (MRI) scans, computed tomography (CT) scans and more — a number that is expanding with no end in sight.
Revenues for teleradiology reading service providers are forecast to follow a similar profile over this period.
Teleradiology read volumes dropped 22% in 2020, but rapid bounce back is already well underway

The closely tied relationship between teleradiology reading services and diagnostic imaging procedures resulted in an enormously challenging year for the teleradiology market. As healthcare providers’ resources became almost entirely focused on caring for those infected by the devastating COVID-19 virus, it contributed to the widespread global postponement of diagnostic imaging examinations.

September 15, 2021 — Siemens Healthineers announced the Food and Drug Administration (FDA) clearance of the SOMATOM X.ceed, a premium single-source computed tomography (CT) scanner that combines high-speed scanning capabilities and a level of resolution previously unseen in other single-source CT systems with a new h

Changing business models require the adoption of new technologies to remain efficient and effective

Does it take a global pandemic to change the way providers deliver care?
Cloud services have been utilized within healthcare organizations for more than a decade. Now with the growth of artificial intelligence (AI) it is very common to see organizations adopting cloud services.

Cloud solutions have been discussed and promoted within healthcare for more than 10 years. I recall the early 2010s seeing banners at conferences and marketing collateral raising the idea — which didn’t gather much momentum at the time.
Figure 1: MWT Schematic of a typical setup for detecting malignant tissues/tumors.
Figure 2: MWT Reconstructed Image: Results from single frequency reconstructions of the real (a-c) and imaginary (d-f) part of the complex permittivity for hemorrhagic stroke (left), 25% Ischemic stroke (middle) and 50% Ischemic stroke (right), using frequency hopping approach in frequency range of 0.7-1.5GHz and distorted Born iterative method, two-step iterative shrinkage thresholding DBIM-TwIST) image reconstruction algorithm.
Figure 3: Image of Per Vices SDR.

While microwave tomography (MWT) imaging has been around for a few decades, advances in computing power, artificial intelligence (AI)/machine learning algorithms and various imaging algorithms have brought a resurgence of interest in MWT.
Subscribe to
© Copyright Wainscot Media. All Rights Reserved.
Subscribe Now