First DR clinical results presented at CAR meetingThe first clinical results of Sterling Diagnostic Imaging's Direct Radiography technology were presented late last month at the International Congress of Computer Assisted Radiology in Berlin.
The first clinical results of Sterling Diagnostic Imaging's Direct Radiography technology were presented late last month at the International Congress of Computer Assisted Radiology in Berlin. Dr. Gary Shaber, director of the division of general diagnostic radiology at Thomas Jefferson University in Philadelphia, presented a study comparing images acquired with a 14 x 17 DR detector array with conventional screen-film x-ray. The study included over 50 patient chest and abdomen studies.
DR uses a detector made from a layer of amorphous selenium deposited on an amorphous silicon thin-film transistor array to digitize x-rays directly. The company plans to introduce DR in 1998, pending Food and Drug Administration clearance.
In other DR news, Sterling, of Greenville, NC, announced that it has expanded its Glasgow, DE, manufacturing facilities in preparation for a commercial launch of the technology. The Glasgow site manufactures Sterling's electronic imaging products, such as its Helios printers and Linx networking products, while Sterling x-ray film is manufactured in Brevard, NC.
Can AI Bolster Breast Cancer Detection in DBT Screening?
January 16th 2025In sequential breast cancer screening with digital breast tomosynthesis (DBT), true positive examinations had more than double the AI case score of true negative examinations and the highest positive AI score changes from previous exams, according to new research.
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.