Lung involvement portends COVID-19 mortality risk
January 8, 2021 -- Volumetric analysis of lung consolidation on chest CT scans can be used to predict the risk of COVID-19 patients dying in the hospital and aid in management decisions, researchers from Michigan reported in a study published online January 6 in European Journal of Radiology Open. Read More
CT/ultrasound fusion enhances ovarian biopsies
January 8, 2021 -- A method that combines CT radiomics and real-time CT/ultrasound image fusion can yield more accurate and efficient tissue biopsies in ovarian cancer patients and may, in the future, even facilitate "virtual" biopsies, according to research published online December 14 in European Radiology. Read More
Ultralow-dose CT doesn't hurt value of 3D models
January 5, 2021 -- CT images acquired at ultralow radiation doses can be used to produce 3D-printed models of wrist fractures that are just as useful as 3D models generated from standard-dose CT exams, according to research published online December 23 in the European Journal of Radiology. Read More
3D printing, AR can enhance thoracoscopic surgery
December 14, 2020 -- The combination of 3D printing and augmented reality (AR) technologies can yield better outcomes for planning and guiding thoracoscopic surgeries than relying on virtual 3D lung models displayed on a monitor in the operating room, according to research published online December 1 in the Annals of Thoracic Surgery. Read More
AI body analysis finds lung cancer survival risk factors
December 11, 2020 -- An artificial intelligence (AI) algorithm was able to quickly analyze body composition metrics on abdominal/pelvic CT exams, yielding better prognostic information for survival in lung cancer patients than a patient's body mass index, according to research presented at the virtual RSNA 2020 meeting. Read More
MRI radiomics predicts axillary lymph node metastasis
December 8, 2020 -- In patients with early-stage breast cancer, "signatures" derived from MRI radiomics and patient clinical risk characteristics can be utilized to preoperatively predict axillary lymph node metastasis as well as disease-free survival, according to research published online December 8 in JAMA Network Open. Read More
CT radiomics characterizes complex cystic renal lesions
December 7, 2020 -- A machine-learning algorithm based on CT radiomics analysis can enable better preoperative risk classification of complex cystic renal lesions than relying only on the traditional Bosniak classification criteria, according to an international multicenter study presented Friday at the virtual RSNA 2020 meeting. Read More
Radiology workflow a focus for Philips at RSNA 2020
December 3, 2020 -- A centralized command center that enables healthcare enterprises to more easily manage their far-flung radiology operations is the focus of the virtual booth at RSNA 2020 for Philips Healthcare. Read More
From alligators to COVID-19, 3D images show lung pathology
December 2, 2020 -- What do 3D reconstructed images of alligators have to do with COVID-19? Researchers from Louisiana who began working together to image reptiles have leveraged their collaboration into a 3D method for visualizing lung pathology in cases of COVID-19. Read More
3D printing makes giant strides in liver
December 1, 2020 -- 3D models that combine vascular and biliary anatomy using different imaging techniques can contribute to more rigorous planning of complex liver operations, including hepatic resections, living-donor transplantation, vascular intervention procedures, and biliary reconstruction surgery, Portuguese researchers reported at RSNA 2020. Read More