AI challenge yields strong results for DBT February 23, 2023 -- Artificial intelligence (AI) algorithms can deliver strong performance for detecting tumors on digital breast tomosynthesis (DBT) exams, according to results from an AI challenge published February 23 in JAMA Network Open.Read More
Nomogram predicts venous thromboembolism in glioma patients February 13, 2023 -- The team, led by Chuanhao Zhang from Capital Medical University in Beijing, found that their nomogram, a model that turns data into visual graphs for predictive purposes, showed high accuracy and agreement metrics when it came to prediction and actual outcomes. Their results were published February 9 in Thrombosis Research.Read More
Radiomics, AI model help characterize breast lesions on MRI February 10, 2023 -- A machine-learning algorithm that analyzes radiomics features on dynamic contrast-enhanced (DCE) MRI images shows potential for differentiating between benign and malignant breast lesions, according to research published February 7 in Radiography.Read More
Can MRI radiomics help predict rectal cancer treatment response? February 8, 2023 -- An MRI radiomics-based nomogram can outperform radiologists in predicting complete pathological response to neoadjuvant chemotherapy in locally advanced rectal cancer, a Chinese study published February 2 in Academic Radiology found.Read More
Nomogram assesses lymph node status better in early breast cancer February 8, 2023 -- A nomogram based on radiomics and other ultrasound features of automated breast volume scanning (ABVS) images can more accurately access axillary lymph node status, according to a report published February 5 in Ultrasound in Medicine & Biology.Read More
3D-printed models improve pediatric retroperitoneal surgery planning February 1, 2023 -- Using 3D-printed models of retroperitoneal tumors is an effective way to plan surgery for children and to communicate about the procedure with their parents, according to a study published January 30 in Nature: Scientific Reports.Read More
PCCT cuts CCTA contrast by 25%, without impacting image quality January 30, 2023 -- Photon-counting CT (PCCT) reduces the amount of contrast needed for coronary CT angiography (CCTA) by 25% -- without impacting image quality, according to a study published January 26 in Radiology: Cardiothoracic Imaging.Read More
Researchers from New York University discussed the benefits of augmented reality (AR) and shared their workflow for creating patient-specific AR models. Read more