Look what Gennaro D'Anna, MD, EDiNR hung up in the Neuroimaging Unit of the ASST Ovest Milanese - the MRI Patient Information Poster from the myesr PAG. A simple but effective way to inform your patients. Get a poster for your imaging department here: myesr.org/patients/#pati…

Critical Review: #Ultrasound elastography of back muscle biomechanical properties - a systematic review and meta-analysis of current methods. (Mercedes David et al.) #InsightsIntoImaging 🔗 buff.ly/3AHw6eV

📜 Standards for conducting and reporting consensus and recommendation documents - European Society of Cardiovascular Radiology policy from the Guidelines Committee. (A. Lupi et al., Alkadhi, Marco Francone, ESCR Vienna) #InsightsIntoImaging 🔗 buff.ly/4dH8ZzQ

Peter Schlattmann et al. determine that CT angiography is more effective than functional testing regarding diagnosis in patients with stable chest pain. (Alkadhi, Marc Dewey) #InsightsIntoImaging 🔗 buff.ly/3XmpWtu

All-new #InsightsIntoImaging study illustrates the latest advances in dual- and multi-energy CT and its applications for lung parenchymal diseases and coronary artery diseases. (Yufan Chen et al.) 🔗 buff.ly/3T82QEs

Educational Review: Diagnostic error and bias in the department of #radiology. (Li Zhang et al.) #InsightsIntoImaging #RadiologyAndBeyond Read it here 👉 buff.ly/48DTu9D

📰 This Editorial puts #OpenAccess journals under the microscope, breaking down the five main types, and dives into the ➕ pros and ➖ cons of publishing in open access journals. (Emilio Quaia et al.) #InsightsIntoImaging 🔗 buff.ly/476aHrU

This study found how spectral-detector CT (SDCT) liver parameters displayed excellent diagnostic accuracy for grading steatosis. (Min Wang et al.) #InsightsIntoImaging 🔗 buff.ly/3XcGQd4

In this study, Yujia Xia et al. develop a #DeepLearning model that combines CT scans and clinical information with the goal of predicting overall survival in advanced hepatocellular carcinoma (#HCC). Their model showed significant prognostic insights for advanced HCC patients.

📜 Simon Rosenqvist et al. discuss the ethical implications of using digital breast tomosynthesis in #BreastCancer screening in this statement published in #InsightsIntoImaging. 🔗 buff.ly/4dZpLKc

A new study published in #InsightsIntoImaging investigated a series of hepatic focal nodular hyperplasia (FNH), finding that FNH may occur in #cancer survivors following cyclophosphamide- or oxaliplatin-based #chemotherapy. (Fan Yang et al.) 🔗 buff.ly/3Momf07

Jing Li et al. developed a standardized method to investigate the relationship between estimated brain age and regional morphometric features. They discovered that both gray matter volume (GMV) and cerebrospinal fluid (CSF) are key features to determine estimated brain age.

This literature review looks to improve the current understanding of #MRI or CT for hepatic epithelioid haemangioendothelioma (HEHE), aiding in its successful preoperative diagnosis. (Lianmei Luo et al.) #InsightsIntoImaging 🔗 buff.ly/4cU1RPr

This new #InsightsIntoImaging study by Adalgisa Guerra et al. surveyed #radiomics signatures for detecting pathological extracapsular extension on MRI in #ProstateCancer patients who underwent a prostatectomy. (Nickolas Papanikolaou, Ph.D.) #ArtificialIntelligence #AI 🔗 buff.ly/4e2pqXg

This study aimed to establish a preoperative score based on gadoxetate disodium-enhanced MRI and clinical indicators to predict the histologic differentiation of solitary hepatocellular carcinoma (#HCC). Ting Yang et al. found that the proposed score can accurately predict poorly

New study shows that diffusion MRI-derived #radiomics displays promise as an early, radiation-free decision-support regarding the prediction and treatment of #LungCancer. (Christian M. Heidt et al.) #InsightsIntoImaging 🔗 buff.ly/47hvj0k

🚨 Check out the latest #RobertosPick! Click here 👇

As #healthcare evolves, so does the role of the radiologist. But what exactly does this entail? This white paper by myesr dives into the role of the radiologist as a communicator, a scientist, a teacher, and more. #InsightsIntoImaging #RadiologyAndBeyond 🔗

European Radiology This month the discussions on #professional issues and #burnout continue also on the Insights into Imaging page Gennaro D'Anna, MD, EDiNR Brendan Kelly Sonja Jankovic

#InsightsIntoImaging explores how transfer learning (TL) may help to improve the generalizability of automated tumor segmentation of #DWI. (Yu-Chun Lin et al.) #CervicalCancer 🔗 buff.ly/3MwevcH