PET identifies tau's origin in Alzheimer's disease
January 21, 2021 -- An automated PET image analysis method can track the development of tau protein clumps in the brains of people with Alzheimer's disease, revealing an important clue in how the devastating disease could potentially be treated, according to research published online January 20 in Science Translational Medicine.  Discuss
Radiomics, AI can guide NSCLC treatment decisions
January 15, 2021 -- Radiomics and artificial intelligence (AI) can be used to guide treatment of non-small cell lung cancer (NSCLC) without the need for a biopsy, according to research presented January 13 at the American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.  Discuss
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.  Discuss
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.  Discuss
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.  Discuss
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.  Discuss
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.  Discuss
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.  Discuss
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.  Discuss
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.  Discuss