Marric Stephens[email protected]Clinical NewsCT-based radiomics reveals prostate cancer riskUsing machine learning, U.K. and Dutch researchers have developed prediction models to identify textural and intensity-based features imperceptible to human observers, and to associate them with commonly used measures of disease progression in prostate cancer.September 5, 2019Clinical NewsGermans use spectroscopy to cut beam-range uncertaintyGerman scientists are convinced that measuring the energy of gamma rays emitted during helium-ion radiotherapy can provide real-time verification of the beam's range in the patient. They have shown how to define the size of the range error in particle therapy, allowing more precise treatments with greater sparing of healthy tissue.July 4, 2019Clinical NewsDual-energy CT for proton therapy planning reaches clinicGerman researchers have introduced a technique for more accurate proton therapy planning into routine clinical use. They are implementing a novel, patient-specific method of proton range prediction based on dual-energy CT.June 13, 2019Clinical NewsDual detector combines nuclear and fluoroscopic imagingDutch researchers have demonstrated the feasibility of using a flat-panel x-ray detector combined with a gamma camera to allow simultaneous acquisition of fluoroscopic and nuclear images. The instrument could provide clinicians with anatomical information not currently available using nuclear imaging alone.February 14, 2019Page 1 of 1Top StoriesWomens ImagingStudy: AI still not ready for routine use in mammographyBreast AI software performed less well than human readers by recording a higher recall rate and significantly more missed cancers, U.K. researchers have found.UltrasoundMicro-ultrasound matches MRI in predicting prostate tumor volumeCTTeam Zurich post new data on dose in lung screeningArtificial IntelligenceWhat does it take to implement AI into prostate MRI workflow?Artificial IntelligenceThe wraps come off European radiology AI journal