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This Critical Review elaborates extensively on the application of #radiomics in brain tumors, as well as discussing the current challenges and prospects concerning the interpretability of brain tumor radiomics (Yixin Wang et al.) #InsightsintoImaging buff.ly/uyc9KYw

In radiology, the absence of an indisputable “truth” in images can lead to different diagnoses based on the same image, and this can lead to an inter-observer difference of opinion. This educational review proposes proactive measures for radiologists to address variability

This study aimed to determine the prevalence of ischiofemoral impingement in young patients evaluated for joint-preserving hip surgery - the comparable prevalence of labral lesions but lower prevalence of cartilage damage suggests complex relationships between extra- and

Our Emeritus Editor-in-Chief Luis Martí-Bonmatí in action at the ESGAR Annual Meeting, presenting the Insights into Imaging Award 2024! Congratulations to the authors, and you can read the article here! 👉 buff.ly/iqYODUC #InsightsintoImaging

This Reply to the Letter to the Editor from Emeritus Editor-in-Chief Luis Martí-Bonmatí responds to Steve Halligan and Stuart Taylor asking "Should all trainees 'do research'?" #InsightsintoImaging buff.ly/w5pIRjG buff.ly/k9buUYX

Yongjie Zhou et al aimed to develop and validate CT-based #radiomics deep learning signitures for the non-invasive prediction of metastatic potential in pheochromocytomas and paragangliomas, finding it can predict the metastatic potential in the preoperative stage

The reliability of image-based recommendations in the prostate cancer pathway is partially dependent on #Prostate MRI image quality - Linda C. P. Thijssen et al found that it is essential to improve the image quality of prostate MRIs #InsightsintoImaging

📚Should all trainees do research? Read the Letter to the Editor in Insights into Imaging from the Emeritus Editor-in-Chief Luis Martí-Bonmatí European Radiology myesr The European School of Radiology Residentes SERAM SAR Resident and Fellow Section #RadRes #RobertosPick

MRI quality and reporting can still be variable even in centres with large and long experience - MRI is an important part of prostate cancer management but it is not the lynchpin- clinical judgment and other clinical-pathological factors are just as crucial

📝Should all trainees 'do research'? 💥Emeritus Editor-in-Chief Luis Martí-Bonmatí responds to Steve Halligan and Stuart Taylor Letter to the Editor 🤔What's your opinion on this? SERAM - Sociedad Española de Radiología Médica SEDIA Academic Radiology AJR European Radiology Abdominal Radiology Radiology: Artificial Intelligence

This study from Jesper Swärd et al found that measuring the angiomyogenic component in renal angiomyolipoma could help address current knowledge gaps and aid in the more efficient selections of patients for therapeutic interventions #InsightsintoImaging

The collection, processing, and evaluation of exposure data from medical procedures involving ionising radiation is an essential part of medical radiation protection. This statement on behalf of the European Society of Radiology launched a questionnaire on the use of dose

For patients with an atrophic #kidney or hydronephrosis, non-constrast CT and #AI methods can be used to estimate single-kidney glomerular filtration rate and split renal function - this may minimize the radiation risk, enhance diagnostic efficiecny, and reduce costs (Yiwei Wang

Germán González et al aimed to develop an #AI system capable of classifying and segmenting femoral fractures, and compare its performance against existing state-of-the-art methods. They found it offered high granularity in fracture classification and is the first to segment

Minerva Becker introduces "Modern Radiology", an open-access digital teaching resource aligned with the undergraduate European Training Curriculum for Radiology, serving not only medical students and educators, but also residents and other healthcare professionals

This Educational Review by Burak Kocak et al explores potential #sustainability paradox that accompanies the adoption of #AI in #radiology #InsightsintoImaging buff.ly/fO6vlw2 Andrea Ponsiglione Lorenzo Ugga Merel Huisman MD PhD Renato Cuocolo

With the goal of improving diagnostic precision and guiding personalized treatment planning, Hui Qu et al employed dynamic contrast enhanced #MRI to noninvasily predict the proliferative subtype of hepatocellular carcinoma, developing a #DeepLearning prediction model

For decades, intravenous contrast media have been used to aid in diagnostic imaging of anatomical structures – this review article brings to light the commonly neglected and unknown factors negatively impacting contrast-medium injections and provides recommendations that can

In East Asia and some Western countries, the incidence of adenocarcinoma of the esophagogastric junction has been rising. Pingfan Jia et al developed a habitat radiomics model which can facilitate accurate preditions of the lymph node status. #InsightsintoImaging

Early and accurate diagnosis of axial spondyloarthritis is crucial for initiating appropriate treatment strategy. The authors developed a machine learning-based model using #MRI and clinical risk factors to enhance diagnostic accuracy (Zhuoyao Xie et al.) #InsightsintoImaging