AI flags rare humeral bone tumors on chest x-rays

An AI algorithm can help identify rare tumors on upper arm bones in patients undergoing chest x-rays – findings not typically identified in daily reading practice, according to an article published March 6 in Radiology: Artificial Intelligence. The algorithm improved the ability of radiologists to identify the tumors, which are located at the periphery of chest x-ray images, noted lead authors Harim Kim, MD, and Kyungsu Kim, PhD, of the Samsung Medical Center in Seoul, South Korea. “Radiologists showed improved performance with assistance of the AI program, particularly in terms of sensitivity and accuracy. We expect that this program will alert radiologists about humeral abnormalities, particularly in cancer centers and tertiary hospitals,” the group wrote. Primary humeral tumors and humeral metastases are extremely rare conditions, the authors explained. The incidence of primary malignant bone tumors in the U.S. is 0.9 per 100,000 people per year, with between 8.5% and 11.8% of these located in the humerus. Despite their rarity, missing these tumors on imaging can delay timely diagnosis and treatment, which can increase patient morbidity and mortality, they wrote. The group proposed that their algorithm could serve as an aid in these cases. The data for training and testing the algorithm included 14,709 chest x-rays collected from 13,468 patients, including 13,116 CT-proven normal or abnormal images (to serve as “ground truth”) and 1,593 humeral tumor cases.T...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Digital X-Ray Artificial Intelligence Source Type: news