Insights Into Imaging
Insights into Imaging is a gold open access journal owned by the European Society of Radiology. Social Media Editor: Roberto Cannella
Insights into Imaging
Insights into Imaging is a gold open access journal owned by the European Society of Radiology and edited by Editor-in-Chief, Paola Clauser. It publishes educational and critical reviews, as well as radiological guidelines and statements from leading European societies. All published articles are freely accessible worldwide which allows for the widest possible dissemination.
31/07/2026
An MRI-derived intratumoral heterogeneity score (ITHscore) was developed to estimate 21-gene recurrence risk in ER+/HER2− breast cancer.
📊 Higher ITHscore was associated with high-risk recurrence groups
🧠 Adding ITHscore improved prediction performance (AUC up to 0.86)
📈 Model showed good generalization in an external cohort
https://link.springer.com/article/10.1186/s13244-026-02342-0 (Yang Chen et al.)
31/07/2026
🎓 A competency-based modular training model was evaluated in radiology residency education.
📚 Interdisciplinary, disease-focused modules integrated with clinical rotations and image post-processing
📊 No overall score difference vs traditional training
👩⚕️ Significant improvement in non-graduate subgroup (theory and practice)
https://link.springer.com/article/10.1186/s13244-026-02335-z (Shang Wan et al.)
30/07/2026
Ultrasound radiomics combined with clinical features improves breast lesion diagnosis in a large multicenter study.
📊 Combined model outperformed radiomics and clinical models alone (AUC up to 0.93)
📉 Potential to reduce unnecessary biopsies while maintaining diagnostic sensitivity
🧠 Stable performance across external and prospective validation cohorts
https://link.springer.com/article/10.1186/s13244-026-02344-y (Di Zhang et al.)
29/07/2026
A multimodal CT urography model improves perioperative risk stratification in upper tract urothelial carcinoma.
📊 Fusion of clinical data, radiomics, and deep learning outperforms single-modality models
📈 Highest predictive performance achieved for 3-year overall survival (external AUC ~0.77)
🧠 2.5D deep learning adds incremental prognostic value over 2D approaches
https://link.springer.com/article/10.1186/s13244-026-02337-x (Xiang Peng et al.)
29/07/2026
🖐️ Foveal triangular fibrocartilage complex lesions are frequently underreported on wrist arthro-computed tomography.
📊 Review identified lesions in 59% of cases, with many ulnar/foveal injuries missed in initial reports
🔍 Structured re-evaluation improved detection in 28% of cases and aligned better with surgical findings
⚠️ Foveal involvement was strongly associated with ulnar-sided wrist pain
https://link.springer.com/article/10.1186/s13244-026-02327-z (Julien Dejean-Servieres et al.)
28/07/2026
🫁 A clinicoradiological model predicts spread through air spaces (STAS) in stage IA lung adenocarcinoma.
📊 CT features (CTR ≥90%, bronchial truncation, pleural retraction, satellite nodules) independently predict STAS
📈 Model stratifies recurrence risk with good validation performance (AUC ~0.83)
🧬 STAS-positive tumors show distinct molecular patterns
https://link.springer.com/article/10.1186/s13244-026-02339-9 (Feng Xu et al.)
27/07/2026
🌍 Deep learning-based CT reconstruction improves environmental sustainability in high-volume imaging.
⚡ Lower electricity use and reduced CO₂e emissions compared with hybrid iterative reconstruction
🧪 Reduced iodinated contrast media consumption with protocol optimization
📉 Overall environmental impact decreased across >42,000 examinations
https://link.springer.com/article/10.1186/s13244-026-02333-1 (Paolo Niccolò Franco et al.)
27/07/2026
4D flow MRI improves non-invasive detection of high-risk esophageal varices in liver cirrhosis.
📊 Splenic vein velocity, spleen volume, and splenic extracellular volume fraction show strong diagnostic value
📈 Combined model achieves best performance for risk stratification
https://link.springer.com/article/10.1186/s13244-026-02341-1 (Xiaohuan Li et al.)
24/07/2026
📚 Systematic review of fat necrosis after breast reconstruction and autologous fat transfer.
🩻 Imaging features are largely similar across ultrasound, mammography, and magnetic resonance imaging
📍 Flap surgery shows more peripheral distribution vs more diffuse patterns in fat transfer
📊 Prevalence varies widely across studies
https://link.springer.com/article/10.1186/s13244-026-02330-4 (Nieke N. P. M. Smeins et al.)
24/07/2026
In pancreatic ductal adenocarcinoma, CT-based assessment of vascular invasion was compared with surgical and histopathological findings.
📊 NCCN-derived CT criteria showed good concordance with intraoperative and histopathological venous invasion
⏱️ Agreement decreased when the interval between CT and surgery exceeded 4 weeks
🎯 Highlights the importance of standardized timing for preoperative imaging in staging
https://link.springer.com/article/10.1186/s13244-026-02318-0 (Gala Nacul Mora et al.)
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