European Radiology

Radiogenomics promises noninvasive tumour profiling, however the extent to which imaging morphology reflects tumour lineage versus host-organ milieu remains unclear. This study amied to quantify the relative influence of tumour type and anatomical environment on contrast-enhance CT radiomic phenotypes (Sajjad Rostami et al.)

https://link.springer.com/article/10.1186/s41747-026-00691-5

🧠🔬 PSMA PET: The Answer to MRI-Occult Prostate Cancer… or Another Mirage?

Multiparametric MRI (mpMRI) has transformed the diagnostic pathway for prostate cancer, yet a substantial proportion of clinically significant prostate cancers (csPCa) may still remain undetected in patients with negative or equivocal MRI findings. This commentary explores the emerging role of PSMA PET/CT as a complementary imaging modality for detecting MRI-occult disease, highlighting evidence from prospective studies such as PRIMARY and PEDAL. The authors discuss how PSMA PET may improve sensitivity and negative predictive value while potentially reducing unnecessary biopsies in selected patients with persistent clinical suspicion of prostate cancer. 🧲☢️

"At the same time, important questions remain regarding the biological significance of PSMA-positive/MRI-negative lesions, optimal patient selection, cost-effectiveness, and the risk of overdetecting clinically indolent disease. These findings reinforce the growing concept that prostate cancer imaging should move beyond single-modality assessment toward a more integrated, biology-driven diagnostic framework. 🔍" - Sonja Jankovic



https://link.springer.com/article/10.1007/s00330-026-12596-3 (Thomas Wagner et al.)

✈️ Last week saw our Albert L. Baert Editorial Fellows in Berlin for a week of on-site training with European Radiology Editor-in-Chief Prof. Bernd Hamm.

Congratulations! 👏

T1-hypointense “black hole” lesions are recognized markers of disease severity in multiple sclerosis (MS), yet their routine quantification remains limited due to the lack of reliable automated methods. This study presents a rule-based semi-automated approach for segmenting lesions on post-gadolinium T1-weighted MRI, validated across a large multicenter cohort. The method demonstrated good volumetric agreement with manual and high lesion-wise sensitivity, highlighting its potential to support quantitative assessment. 📊

"These findings emphasize the growing value of semi-automated quantitative imaging tools in neuroradiology. By providing additional information on lesion burden and disease severity, such approaches may enhance characterization of individual MS patients and improve consistency in imaging evaluation, while still requiring expert radiologist oversight for optimal clinical use. 📌" (Sonja Jankovic)



https://link.springer.com/article/10.1007/s00330-026-12577-6 (Rozemarijn M. Mattiesing et al.)