MRI remains the most sensitive tool for detecting breast cancer, but cost and acquisition time continue to be deterrents for women at average risk. For patients at University Hospitals Cleveland Medical Center who received a digital mammography (DM) or digital breast tomosynthesis (DBT) screening examination, patients with heterogeneously dense or extremely dense breast tissue received […]
Cost-Utility Analysis of Imaging for Surveillance and Diagnosis of HCC
Utilizing a Markov model developed via TreeAge Pro software, Paulo Henrique Lima, An Tang, and a team of researchers at the University of Montreal simulated seven strategies for surveilling and diagnosing hepatocellular carcinoma (HCC) in patients with cirrhosis: ultrasound (US) for surveillance, CT for diagnosis; US for surveillance, complete MRI for diagnosis; US for surveillance, […]
Positive Predictive Value for Colorectal Lesions at CT Colonography
Using optical colonoscopy as their reference standard for concordance, a trio of researchers from the United States and Italy demonstrated high positive predictive value for colorectal cancer screening using CT colonography (CTC), resulting in greater specificity and risk stratification for appropriate patient triage compared with other noninvasive screening tests. In an AJR online exclusive, University […]
Immunohistochemistry to Predict Thyroid Nodules
Researchers have validated a first-of-its-kind machine learning– based model to evaluate immunohistochemical (IHC) characteristics in patients with suspected thyroid nodules, achieving “excellent performance” for individualized noninvasive prediction of the presence of cytokeratin 19, galectin 3, and thyroperoxidase based upon CT images. “When IHC information is hidden on CT images,” principal investigator Jiabing Gu explained, “it […]