Radiologists develop AI to highlight artifacts on CT pulmonary angiography

Movement artifacts, respiratory movement, technically unsatisfactory – and so on Lead author Giridhar Dasegowda, MBBS, senior author Keith Dreyer, DO, PhD, and colleagues at Mass General Brigham pulled 793 CTPA reports from three healthcare sites (two academic, one community). The searches that returned the results contained terms such as: motion artifacts† breathing movement and technically … Read more

AI support platform saves time in routine radiology practices

By integrating an artificial intelligence (AI) support platform into routine radiology practice, radiologists will save about an hour a day interpreting chest CT scans compared to reading the scans without it, a randomized study suggests. dr. Joseph Schoepfa “Radiology is one of the main potential uses of AI simply because we are digitally based, something … Read more

3D Hologram System for Guiding Precision Surgery Gets FDA Nod

Novarad CE and VisAr co-creator Wendell Gibby, MD, a neuroradiologist, says the technology offers “the precision of a robot, the portability of a stethoscope, and the versatility of human-powered intelligence. Like a surgical GPS, VisAR provides a roadmap.” to direct the surgeon to the appropriate pathology.” The announcement also quotes a University of Utah neurosurgeon … Read more

Siemens Healthineers gets FDA nod for new SPECT/CT scanner

According to Siemens Healthineers, the manufacturer of the device, the Food and Drug Administration (FDA) has granted 510(k) approval for the Symbia Pro.specta™ SPECT/CT scanner. Siemens Healthineers launched the device at the 2022 Society of Nuclear Medicine and Molecular Imaging (SNMMI) annual meeting and said the single-photon-emission computed tomography/computed tomography (SPECT/CT) system offers advanced imaging … Read more

AI may bolster assessment of lung nodules on chest CT

Emerging research suggests that artificial intelligence (AI) may improve the assessment of indeterminate lung nodules on chest computed tomography (CT) exams. In a recently published retrospective study in Radiology, researchers examined the use of AI-enabled, computer-aided diagnosis (CAD) software (Virtual Nodule Clinic, Optellum) to help determine the malignancy risk of indeterminate lung nodules on chest … Read more

FDA gives green light to expand CT-controlled, robot-assisted IR system

Xact Robotics has received approval to add robotic-assisted ablation to the interventional radiology procedures for which the Ace system brand previously received FDA’s OK. Xact says Ace has been used clinically in more than 200 other types of CT-guided percutaneous procedures. The company says the approval for ablations will enable interventional radiologists to perform these … Read more

Black adults with normal lung function found to have emphysema after race-based adjustments to spirometry

According to research published at the ATS 2022 international conference, a significant percentage of black men were found to have normal lung function after race-based adjustments to spirometry were found to have emphysema on their computed tomography (CT) scans. Black adults in the US are more likely to have unrecognized emphysema than white adults. … Read more

Consider Cancer a Trigger for Deep Vein Thrombosis

Core messages If no triggering event can be identified for a patient with deep vein thrombosis, an unknown cancer should be considered as the cause. Rosemary Poulose and L. Christian Napp, MD, et al. of the Hannover Medical School in Germany recalled this in a recent journal article. They told the medical history of a … Read more

AI distinguishes 2 types of autoimmune arthritis on CT

Computer scientists, rheumatologists and immunologists have pooled their skills to develop an artificial neural network that can distinguish the type of arthritis on CT scans of the hand — rheumatoid versus psoriatic — while also recognizing healthy joints without any arthritis at all. The team report is online in Frontiers in Medicine: Rheumatology† First author … Read more

Clinical breast images improve survival prediction in lung cancer

In patients with stage I lung cancer, adding noncancerous features to CT chest imaging better predicts overall survival than clinical features alone, according to an article published online in the American Journal of Roentgenology. Modeling incorporating noncancerous imaging features captured on chest computed tomography (CT) along with clinical features, when calculated before stereotactic body radiation … Read more