Senior Editor, Diagnostic Imaging
Study Says Machine Learning MRI Model May Help Predict Recurrence Risk of Hepatocellular Carcinoma
August 22nd 2022Noting that the machine learning model incorporating magnetic resonance imaging (MRI) had a higher mean area under the curve (AUC) than a model based solely on clinical features for predicting hepatocellular carcinoma recurrence, researchers said the study findings could have implications for refining liver transplant criteria.
Emerging Deep Learning System May Enhance MRI Assessment of Intracranial Tumors
August 19th 2022In comparison to neuroradiology assessment of brain magnetic resonance imaging (MRI) scans for tumor diagnosis, researchers found that adjunctive use of a deep learning system improved diagnostic accuracy by 12.4 percent and sensitivity by 33.5 percent in one test set of 300 patients.
PET Imaging Study Links COVID-19 to Reduced Myocardial Flow Reserve
August 18th 2022Emerging research from a positron emission tomography (PET) study suggests that prior COVID-19 infection can lead to a 30 percent increased risk of lower myocardial flow reserve in patients with cardiovascular risk factors ranging from diabetes to coronary artery disease.
Study Finds Disparities with Follow-Up After Incomplete Mammography Exams
August 18th 2022Emerging research revealed that Asian patients, Black patients, and those who identified their race as “other” were nearly 1.5 times more likely than White women to have more than two-month delays with follow-up imaging after BI-RADS 0 screening mammography.
Survey: Over Half of Women in Their 40s Did Not Have a Mammogram in the Past Year
August 17th 2022In a recent survey of nearly 2,000 women in their 40s who had no history of breast cancer, researchers found that over 38 percent of survey respondents said they had no reason to get a mammogram or had never thought about it.
A Radiologist's Perspective on New Patient-Facing Breast Cancer Screening Guidelines
August 17th 2022With ongoing gaps in mammography screening and patient anxiety that often accompanies screening exams and a possible diagnosis of breast cancer, patient education is critical. Accordingly, in a recent video interview, Amy K. Patel, M.D., discussed the potential impact of new patient-oriented breast cancer screening guidelines from the National Comprehensive Cancer Network.
MRI/CT Imaging for Axillary Lymph Nodes: What a New Breast Cancer Study Reveals
August 16th 2022The 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.
Lung Cancer Screening Study Says Significant Disparities Persist Despite Expanded Eligibility
August 9th 2022While 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.
FDA Clears New AI Software for MRI Detection of Prostate Cancer
August 8th 2022The ProstatID, an adjunctive artificial intelligence software that radiologists can utilize with traditional magnetic resonance imaging (MRI), reportedly measures prostate gland volume, and suggests PI-RADS scoring of suspicious lesions.
Can EHR Interventions Have an Impact in Conserving Iodinated Contrast Media in Radiology?
August 3rd 2022A 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.
Could AI Enhance Early Detection of COVID-19 on Chest X-Rays?
August 2nd 2022Preliminary research revealed an area under the curve (AUC) of 85 percent for an artificial intelligence (AI) algorithm in diagnosing COVID-19 on initial chest X-rays in comparison to a consensus 71 percent AUC for five radiologists.
Study Suggests AI Enhances Non-Contrast CT Detection of Large Vessel Occlusion
July 29th 2022Artificial intelligence (AI) accurately diagnosed 79 percent of proximal large vessel occlusions with an ipsiversive gaze deviation on non-contrast computed tomography (CT), according to new research findings presented recently at the Society of Neurointerventional Surgery’s (SNIS) 19th Annual Meeting in Toronto.
Key Challenges with the O-RADS Ultrasound Classification System
July 27th 2022While the Ovarian-Adnexal Reporting and Data System ultrasound (O-RADS US) system provides a standardized and validated system for classification and risk stratification of ovarian and adnexal masses, a variety of clinical scenarios may prohibit or limit use of the system.
What's Next in Medical Image and Data Management in Radiology?
July 20th 2022In a video interview, Morris Panner, the president of Intelerad Medical Systems, discussed key observations from the recent Society for Imaging Informatics in Medicine (SIIM) conference, recent research about artificial intelligence (AI) adoption and emerging goals for enhancing the efficiency of radiology workflows.
Iodinated Contrast Media Alternative: FDA OKs Bayer Importing Foreign-Labeled Iopromide
July 19th 2022The Food and Drug Administration (FDA) has given the green light to Bayer to import foreign-labeled iopromide (Ultravist) to help alleviate ongoing supply challenges with iodinated contrast media in the United States.
Radialis Garners FDA 510(k) Clearance for Portable PET Device
July 19th 2022Offering images of high spatial resolution and a small system footprint, the new positron emission tomography (PET) modality from Radialis may facilitate enhanced imaging of emerging radiotracer agents and key biomarkers in targeted organs.
Key MRI Patterns for Diagnosing Inflammatory Brain Stem Lesions
July 16th 2022In an award-winning presentation at the European Congress of Radiology (ECR), researchers from the Hospital Universitario Basurto in Spain reviewed key neuroimaging findings on magnetic resonance imaging (MRI) for a variety of inflammatory lesions of the brain stem.