European Radiology is one of the leading European journals in the field of medical imaging, owned by the European Society of Radiology.
It publishes original articles and meta-analyses on clinical science and research, outcome and patient studies.
Social Media Editor: Brendan Kelly
🤖 Did you see our latest "On Artificial Intelligence" interview on the #AI blog?
"Looking a decade ahead, I anticipate automation will extend to many tasks we currently handle manually. Regardless of the specific advancements, AI will enable us to spend more time collaborating with other healthcare professionals and engaging with patients, as Eric Topol aptly describes in Deep Medicine." - Tugba Akinci D’Antonoli
Have a look at the full article in the link below 👇
https://buff.ly/3B2dOFX
This study compared three contrast-enhanced #mammography (CEM) systems, finding that one system outperformed the others, providing higher contrast-to-noise ratios (CNR) at lower radiation doses, while highlighting the variability in performance among dual-energy subtraction (DES) algorithms in CEM. (Gisella Gennaro et al.)
"I believe this type of AI implementation represents a promising direction for quality assurance in radiology. Since these systems can run in the background, they could become integrated as a safety net to mitigate diagnostic errors." - Laurens Topff
#EuropeanRadiology #ArtificialIntelligence
Read it now on the #AI blog 👇
https://buff.ly/4fMLvu9
Adriano B. Dias & Sangeet Ghai explore the ability of prostate MRI characteristics to predict pathological upgrades in patients under active surveillance, highlighting the critical role that MRI plays in risk stratification and management decisions for patients.
Commentary 👉 https://rdcu.be/d1MUd
Original Article 👉 https://buff.ly/4dvfcxG
Misdiagnosis in breast imaging can delay treatment, cause unnecessary procedures, and erode patient trust, leading to worse prognosis and raise healthcare costs.
How do we address this? Accurate imaging, continuous education, and clear communication among #healthcare providers are key to minimizing risks and improving patient care. (Isabelle Thomassin-Naggara et al.)
Hugues G. Brat et al. developed and validated a novel algorithm for personalized contrast injection in abdominal CT, achieving consistent liver enhancement at 50 HU. This approach may have positive implications for diagnostic accuracy and patient management.
A study on gadoxetic acid-enhanced MRI of benign hepatic lesions following chemotherapy showed distinctive imaging features. Early-term lesions often resolved spontaneously, while late-term FNH-like lesions may grow in size and number. (Yiqi Wang et al.)
Mustafa Ahmed Mahmutoglu et al. developed and trained an artificial neural network (ANN), testing it on a dataset, with the goal of removing facial features for CTA scans by automatically generating facemasks.
🕯️ Join us over the next four weeks as we celebrate #rAdvent!
🕯️ Each week starting December 1st, we'll take a deep dive into an article from the #ESRJournals family chosen by our Social Media Editorial Team, providing expert insight into some of our most popular articles published in our three journals!
Stay tuned...
#EuropeanRadiology
#InsightsIntoImaging
#EuropeanRadiologyExperimental
Join Loukas G. Astrakas as he dives into the future of leukodystrophy diagnosis, exploring the potential of new #MRI techniques, including quantitative MRI (qMRI). Could the integration of qMRI improve our diagnosis, monitoring, and treatment of patients with leukodystrophies?
Commentary 👉 https://rdcu.be/d00eZ
Original Article 👉 https://buff.ly/3U4UrCj
A study on inter-reader agreement of the breast imaging reporting and data system (BI-RADS) contrast-enhanced #mammography (CEM) lexicon found moderate to substantial agreement for most features, with lower agreement for non-mass enhancement and enhancing asymmetry. (Calogero Zarcaro et al.)
Mihaela Rata et al. explore the potential of MR fingerprinting (MRF) in quantifying treatment response by evaluating the repeatability of MRF-derived T1 and T2 relaxation times in bone metastasis, bone, and muscle in 20 metastatic #ProstateCancer patients. MRF allowed repeatable T1 and T2 measurements, which may help quantify treatment response.
This #DeepLearning-based method for automated kidney measurements from CT images demonstrated excellent reliability and accuracy in segmentation and quantitative assessments, matching the performance of a human in both contrast-enhanced and noncontrast CT images. (Konstantinos Koukoutegos et al.)
Ryan Donnelly et al. explore the diagnostic performance and prognostic value of FDG-PET/CT in cases of suspected pulmonary sarcoidosis.
A systematic review & meta-analysis of Node-RADS showed strong diagnostic performance for lymph node malignancy assessment on CT and MRI, with an increasing malignancy probability along higher category. However, inter-observer reliability remains a concern and may hinder implementation in clinical practice. (Jingyu Zhong et al.)
Johanna Pape et al. compared the performance of three #AI-assisted programs for bone age (BA) determination, including #BoneXpert, #PANDA, and #BoneView. All three AI programs were comparable in their ability to predict BA showing high reliability.
Last week, the "Eternal City" played host to the ESR's Annual Leadership Meeting, where our Editors-in-Chief discussed the state of their respective journals alongside Marc Dewey, Chair of the ESR Publications Committee, and Ioana Gheonea, Chair of the Young ESR Committee.
#EuropeanRadiology
#InsightsIntoImaging
#EuropeanRadiologyExperimental
#ESRJournals
This #EuropeanRadiology study looks at VET-Net, a #DeepLearning (DL) model used to estimate proton density fat fraction (PDFF) from chemical shift encoded (CSE) MR images. Juan P. Meneses et al. determined that it was able to outperform conventional DL methods, offering improved unbiased and reproducible measurements in liver imaging.
This new study by Audrey Lavielle et al. shows that brain T1 maps can be derived from T1-weighted acquisitions. Moreover, the authors concluded that the T1 measurement technique can be used in patients with multiple brain metastases.
🚨 Only one more week to go!🚨
Make sure to get your applications in for our coveted #EuropeanRadiology fellowships by Sunday, December 1st!
💻 Click the links below to apply today:
Albert L. Baert Editorial Fellowship
https://buff.ly/3Yv5Nlw
Yves Menu Review Fellowships
https://buff.ly/4hdHDDp