Noting 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.
Catch up on the top radiology content of the past week.
In 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.
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.
Canon Medical Systems offer a range of in-person and virtual educational opportunities for their clients.
Catch up on the top radiology content of the past week.
The 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.
Catch up on the top radiology content of the past week.
The imaging agent is approved for use in 50 countries in Europe and Asia, but is not currently approved in the US.
Catch up on the top radiology content of the past week.
A recently published prospective study comparing multiparametric magnetic resonance imaging (MRI) and micro-ultrasound found similar detection rates for prostate cancer.
In 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.
Catch up on the top radiology content of the past week.
The artificial intelligence (AI) capabilities of the new software reportedly facilitate scanning times that are three times faster than conventional magnetic resonance image (MRI) scanners.
In their testing of eight commercially available filtering face piece (FFP3) respirators commonly utilized during the COVID-19 pandemic, researchers deemed that five of the face masks that contained ferromagnetic materials were unsafe to use in and around magnetic resonance imaging (MRI) devices.
Catch up on the top radiology news of the past week.
Magnetic resonance imaging (MRI) had better accuracy than prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) “for detecting any grade of prostate cancer,” according to new study findings presented at the European Association of Urology Annual Congress (EAU22) in Amsterdam.
The new magnetic resonance imaging (MRI) device reportedly offers deep learning technologies and advanced processing of whole-body images in a cost-effective and lightweight model.
Calantric™ Digital Solutions reportedly offers artificial intelligence (AI)-powered apps, bolsters lesion detection, facilitates triage priorities and enhances workflow efficiency.
Catch up on the top radiology news of the past week.
The radiopharmaceutical is already approved for use in PET imaging in men with suspected prostate cancer recurrence.
As the iodinated contrast media shortage continues to have a significant adverse effect on radiology, these authors assess the pros and cons of emerging strategies and imaging alternatives.
Catch up on the top radiology content of the past week.
Despite increased use of preoperative magnetic resonance imaging (MRI) in recent years for patients undergoing surgery for prostate cancer, a study found that over 70 percent of a large Medicare population with prostate cancer did not have a preoperative MRI scan as of 2015.
Whether it is humorous associations with common terminology, oddities on X-rays or decidedly uncomfortable imaging findings, this author shares a few chuckles from his experience.
