CT

Catch up on the top radiology content of the past week.

In an update of the original CAD-RADS™ consensus document on coronary artery disease (CAD) imaging and reporting published in 2016, expert panelists incorporated emerging evidence for CAD-RADS 2.0 to recommend new categorization for coronary plaque burden and suggested modifiers to reflect the level of ischemia and high-risk plaque in patients undergoing cardiac computed tomography.

Catch up on the top radiology content of the past week.

What is the diagnosis?

New research reveals that an emerging deep learning tool had comparable sensitivity and specificity to radiologist assessment of contrast-enhanced computed tomography (CT) scans for pancreatic cancer, and a 74.7 percent sensitivity rate for tumors smaller than 2 cm.

Assessing high-resolution computed tomography (CT) scans of the wrist, CurveBeam AI’s OssView software reportedly enables clinicians to ascertain bone fragility and fracture risk for women over the age of 70.

Greater imaging utilization has increased the prevalence of incidental findings or incidentalomas, but unclear clinical context and guidelines complicate management. Accordingly, these authors offer a thorough review of the literature and discuss new opportunities for improving interdisciplinary management strategies.

Catch up on the top radiology content of the past week.

Offering a variety of features to enhance efficiency, bolster security and reduce IT overhead, the cloud-native SaaS platform may help radiologists minimize workflow issues that can impede practices with high imaging volume.

Comparing patients with and without comorbidities ranging from emphysema and tuberculosis to chronic obstructive pulmonary disease (COPD), researchers found that cancer detection rates and false-positive rates remained similar in lung cancer screening.

Amid emerging research showing the benefits of spectral computed tomography (CT) imaging in interventional radiology, the newly launched Phillips Spectral Angio CT Suite may provide enhanced efficiencies in care for stroke, oncology, and trauma patients.

A little positivity and praise towards others can go a long way for how you assess and treat yourself, too.

Researchers suggest that an artificial intelligence (AI)-powered risk stratification tool for lung nodules identified on computed tomography (CT) scans may identify likely malignancies more than one year prior to definitive diagnosis.

The automated measurement of heart ventricle diameters and detection of potential dilation in the right ventricle may facilitate quicker intervention in cases of pulmonary embolism.

Emerging research findings suggest the use of single-encounter thoraco-abdominopelvic computed tomography (CT) per 1,000 trauma-related emergency department (ED) visits more than quadrupled for minor injuries and more than doubled for intermediate injuries from 2011 to 2018.

Catch up on the top radiology content of the past week.

Catch up on the top AI-related radiology content of the past month.

Researchers showed the deep learning system had an area under the curve (AUC) ranging from 87 percent to 91 percent in two test sets for diagnosing solid pancreatic lesions of any size and cystic lesions 1 cm or larger on high-contrast computed tomography (CT).

Well known for her education and advocacy on the use of computed tomography (CT) colonography for colorectal cancer screening, Dr. Yee is also widely recognized for her leadership, mentoring skills and being a champion for diversity in the field of radiology.

Catch up on the top radiology content of the past week.

The combination of magnetic resonance imaging (MRI) and computed tomography (CT) had a 63.83 percent sensitivity rate for tumor-infiltrated axillary lymph nodes in patients with breast cancer in comparison to a 36.11 percent sensitivity rate for the combination of mammography and sonography.

While a lack of detail with patient histories is a common challenge in radiology, a dash of humorous perspective can help build a sense of camaraderie among colleagues.

Catch up on the top radiology content of the past week.

While recent recommendations from the United States Preventive Services Task Force (USPSTF) to lower lung cancer screening thresholds significantly expanded eligibility for screening tests such as low-dose computed tomography (CT), differences in education, health-care insurance and proximity to health-care facilities continue to be key drivers of racial and socioeconomic disparities limiting access to appropriate preventive care.

Catch up on the top radiology content of the past week.

Researchers discuss key parameters for the assessment, implementation and post-implementation monitoring of emerging artificial intelligence (AI) tools in radiology practices large and small.

A recent study found the use of an alert and a request for more clinical information in a multisite health system’s electronic health record (EHR) system led to a 12 percent reduction in contrast-enhanced computed tomography (CT) exams per day and a 15.2 percent reduction in orders for CT with contrast media per day.

Viz.ai said the Viz Subdural Hematoma (SDH) artificial intelligence (AI) algorithm provides automatic detection of acute and chronic subdural hemorrhages, facilitating timely triage and treatment of patients.

Has an overly critical approach from quality assurance committees led to an overly cautious approach in reports from teleradiologists?

Catch up on the top radiology content of the past week.