Letter to the Editor: “Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management”
Dear Editor, We had read carefully the paper from doctors Sarah J. van Riel, Colin Jacobs, Ernst Th. Scholten, Rianne Wittenberg, Mathilde M. Winkler Wille, Bartjan de Hoop, Ralf Sprengers, Onno M. Mets, Bram Geurts and Mathias Prokop, Observer variability for...
MRI gets closer to genomics in prostate cancer
Defining which prostate cancers are potentially aggressive and provide early metastases is essential for patient management. It seems that visibility with MRI is a prognostic predictor. Article: Correlation between MRI phenotypes and a genomic classifier of prostate...
How Artificial Intelligence looks at images
AI does not mimic humans, but learns from humans. It has its own traps, like over-fitting. We need to learn how AI “thinks” and share the same “PICO” approach. Article: Demystification of AI-driven medical image interpretation: past, present and future Authors: Peter...
LI-RADS: not so easy!
Although LI-RADS is a great improvement towards standardization of reporting and medical decision, difficulties in daily practice still exist. Article: Pitfalls and problems to be solved in the diagnostic CT/MRI Liver Imaging Reporting and Data System (LI-RADS)...
Guidelines from ESUR: endometrial cancer
Very useful for daily practice! From preparation to reporting MRI, these guidelines will help you with patients with suspicion of endometrial cancer. Article: Endometrial Cancer MRI staging: Updated Guidelines of the European Society of Urogenital Radiology Authors: ...