Moffitt Cancer Center researchers used PET/CT features to help develop their deep learning tool, sharing their process on Wednesday.
Stanford University researchers unveiled their novel 18F-DASA-23 radiopharmaceutical during the Society of Nuclear Medicine and Molecular Imaging’s virtual meeting.
Enhancing the reporting and staging process may speed up workflows and greatly improve imaging care, researchers explained recently.
Templates helped imaging providers relay key features of gastric cancer and were preferred over free-text reporting.
While just under 4% of all imaging is oncologic, about 44% of radiologic cases involving a disputed diagnosis are related to the deadly disease, experts explained in JACR.
The pair will combine machine learning with digitized slide data to enhance diagnoses, initially focusing on prostate, breast, colorectal and lung cancers.
Patients who received a novel amino acid-based radiopharmaceutical showed better cancer control rates compared to those whose treatment was guided by bone scans, CT, or MRI alone.
This is the FDA's second mammography warning in two days, with both centers going weeks without performing mandatory quality-control tests.
The Laurel, Maryland, radiology provider had its accreditation stripped in March and has yet to notify patients who may have been affected, according to the FDA.
UCLA radiological experts unveiled their neural network framework in the Journal of Medical Imaging.
Utilizing 18F-FET PET when conventional MRI falls short offers valuable information about the effectiveness of state-of-the-art treatments.
Ink put into the skin can migrate to other areas of the body over time and, in some patients, mimic lymph node calcifications on mammograms.