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Kirkman Rd, Suite 200, Orlando FL 32819Latest from PearsonClinical NewsDeep learning aids prediction of myelin maturation ageBy Kate Madden YeeA deep-learning model helps radiologists accurately predict pediatric myelin maturation age on brain MRIs -- and it could help reduce the time needed to complete this task, Swiss scientists have reported in an article published on 26 July in Radiology: Artificial Intelligence.July 31, 2023Clinical NewsCan dual-layer CT be an alternative to MRI in breast cancer staging?By Amerigo AllegrettoDual-layer CT with high-contrast images demonstrates potential as a useful method for preoperative staging of breast cancer, according to research presented on 4 March at ECR 2023 in Vienna.March 6, 2023Clinical NewsDual-energy CT offers low-dose alternative to perfusion CTBy Kate Madden YeeDual-energy CT performs comparably to high-dose perfusion CT for assessing angiogenesis of lesions resulting from solitary lung nodules, according to a Polish study published on 4 January in Scientific Reports.January 9, 2023Image ProcessingGerman study provides insight on neuroendocrine tumorsBy Erik L. RidleyBody composition analysis of routine PET/CT staging exams can be used to opportunistically monitor patients with neuroendocrine tumors of a gastroenteropancreatic origin, researchers from University Hospital Essen have reported.August 18, 2022Artificial IntelligenceSwiss team uses AI to predict stroke treatment successBy Erik L. RidleyInvestigators from Geneva, Switzerland, have reported that artificial intelligence (AI) and radiomics can help to predict if a therapy approach for acute ischemic stroke will be successful. This might pave the way for personalized endovascular patient management.July 28, 2020Artificial IntelligenceDeep learning advances in 3D quantification of body compositionBy Philip WardAccurate fully automatic segmentation of subcutaneous fat, visceral fat, and psoas muscle from abdominal CT is feasible without human input. That's the main finding of new artificial intelligence research conducted at the Utrecht University Medical Center in the Netherlands.November 10, 2019Clinical NewsU.K. team uses CT method to assess pulmonary ventilationBy Philip WardUsing a CT-based computational model to determine the ventilation heterogeneity of chronic obstructive pulmonary disease with increased detail can improve the stratification of these patients according to their disease severity and evaluate their suitability for regional treatment, researchers from Oxford, U.K., have found.April 29, 2019ConferenceAI algorithm predicts glioblastoma patient survivalBy Erik L. RidleyVIENNA - An artificial intelligence (AI) algorithm shows promise for helping radiologists predict progression-free survival in patients with glioblastoma based on the analysis of postoperative MRI scans, according to a presentation on Friday at ECR 2019.February 28, 2019Medical, Legal, and Practice6 life lessons for radiologists from Roger FedererBy Dr. Arjun KalyanpurWhat does Roger Federer have to do with radiology? Lots, according to Dr. Arjun Kalyanpur of Teleradiology Solutions. His analysis of the tennis great's training regimen and lifestyle reveals six life lessons that radiologists should try to emulate if they want to remain productive and continue to enjoy their profession.February 22, 2018Artificial IntelligenceDeep learning can quantify CAC on low-dose CTBy Erik L. RidleyCHICAGO - A deep-learning algorithm can automatically calculate coronary artery calcium (CAC) scores from lung cancer screening CT exams and facilitate risk stratification in these patients, according to research presented on Tuesday at RSNA 2017.November 28, 2017Clinical NewsDynamic PET/MRI study spots vascular correlationsBy Jude DineleyCorrelation between vascular fraction parameters may help to guide future clinical trials involving the use of PET/MRI to assess tumor hypoxia, researchers from Germany and Slovenia have found.May 3, 2017Organized Radiology IssuesRCR welcomes review of revalidation processBy AuntMinnieEurope.com staff writersThe U.K. Royal College of Radiologists (RCR) has welcomed the General Medical Council's (GMC) publication of "Taking revalidation forward: Improving the process of relicensing for doctors" by Sir Keith Pearson.January 15, 2017Clinical NewsMachine learning improves FFR-CT for coronary ischemiaBy Eric BarnesIn results that could potentially shake up the heart imaging status quo, a machine learning algorithm slightly outperformed a more traditional algorithm in analyzing fractional flow reserve CT (FFR-CT) studies for detecting signs of ischemic coronary lesions, according to a presentation at the recent RSNA 2016 meeting in Chicago.January 2, 2017Clinical NewsAugmented reality C-arm remakes lower-limb surgeryBy Eric BarnesAligning the lower limbs for orthopedic surgery is a tough job now made easier with the use of an augmented realty C-Arm technique, said researchers from Munich, Germany, in the November edition of International Journal of Computer Assisted Radiology and Surgery.November 7, 2016ConferenceTracking software tackles CT dose monitoringBy Erik L. RidleyVIENNA - Dose tracking software can automatically monitor the radiation dose patients receive from their CT studies, yielding valuable data for quality assurance purposes and supporting the quest for dose optimization, according to a pair of presentations on Thursday at ECR 2015.March 4, 2015
