Insights Into Imaging

Insights Into Imaging

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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.

02/10/2026

🩻 Plaque-RADS showed moderate to substantial inter-reader agreement across US, CTA and MRI
🎯 Agreement was highest for low-risk plaques (RADS 1–2), while high-risk categories were more challenging
🔍 Experienced readers achieved substantial to almost perfect agreement across imaging modalities
📈 Structured training improved performance, with the greatest gains among ultrasound beginners

https://link.springer.com/article/10.1186/s13244-026-02393-3 (Jie Zhang et al.)

02/10/2026

Can expert consensus help guide contrast administration and whole-body MRI escalation in prostate MRI?

🎯 Delphi consensus established structured criteria for GBCA administration and WB-MRI escalation
💉 GBCA use was supported for PI-RADS 3 lesions and low-quality MRI (PI-QUAL ≤3)
🔍 PSA or PSA density thresholds alone did not reach consensus for GBCA administration
🧬 WB-MRI escalation was supported for T3 disease, suspected metastases and high-risk profiles

https://link.springer.com/article/10.1186/s13244-026-02388-0 (Eric Nduka Onwuharine et al.)

01/10/2026

🧠 ANATOMIADI used image-based games to challenge residents on cross-sectional anatomy
🎮 Over 400 games were developed across anatomical systems and three difficulty levels
141 participants from 28 Italian radiology residency programs joined the competition
🤝 100% of participants recommended repeating the challenge in future academic years

https://link.springer.com/article/10.1186/s13244-026-02389-z (Carlo Cosimo Quattrocchi et al.)

30/09/2026

Can 3D muscle analysis on chest CT help identify chronic obstructive pulmonary disease (COPD)?

🫁 3D muscle analysis outperformed conventional 2D assessment
📊 Muscle density progressively decreased from normal to PRISm to COPD
🔍 Erector spinae muscle density was the most relevant parameter
🎯 Automated 3D muscle quantification may improve assessment of pulmonary disease

https://link.springer.com/article/10.1186/s13244-026-02384-4 (Yi Wang et al.)

30/09/2026

Can AI make radiology reports easier for patients to understand?

🧠 In 100 adults, AI-simplified neuroradiology reports scored better across all communication domains.

📈 Large effects for clarity, tone, usability & overall impression.

🔍 Next: assess whether perceived clarity improves objective understanding.

https://link.springer.com/article/10.1186/s13244-026-02391-5 (Agreen Horr et al.)

29/09/2026

After ST-elevation myocardial infarction, the extent of microvascular injury matters.

🫀 Combining microvascular obstruction and intramyocardial hemorrhage identified patients at substantially higher risk of major adverse cardiovascular events.

📊 Event rates ranged from 8.8% to 58.3% across risk groups.

🎯 A cardiac magnetic resonance-based score integrating quantitative microvascular injury and clinical variables achieved an AUC of 0.853.

https://link.springer.com/article/10.1186/s13244-026-02386-2 (Xing-Yu Gu et al.)

28/09/2026

Can dual-layer spectral CT better predict tumor proliferation than diffusion MRI in re**al cancer?

🧬 Extracellular volume fraction showed the strongest association with Ki-67
📊 It achieved an AUC of 0.815, outperforming diffusion MRI parameters
⚠️ Higher extracellular volume was associated with more aggressive tumor features
🎯 Spectral CT may provide a noninvasive biomarker of tumor proliferation

https://link.springer.com/article/10.1186/s13244-026-02376-4 (Zhuofeng Liang et al.)

One call, two Review Fellowships: Applications are now open! - European Radiology 28/09/2026

🎓 The ESR Journals Review Fellowships 2027 are now open for applications!

Behind every published paper are reviewers who helped shape it. Join us for an exclusive look into the world of the peer-review process at two of Europe’s leading radiology journals. Discover what makes a great reviewer, sharpen your critical appraisal skills, and gain practical insights to help you leave your own mark on the next paper you review.

This year, for the first time, European Radiology and Insights into Imaging are joining forces for a joint call, offering two parallel fellowships – the Yves Menu Review Fellowship in European Radiology and the Insights into Imaging Review Fellowship.

One call, two Review Fellowships: Applications are now open! - European Radiology Insights into Imaging European Radiology Experimental European Radiology Breast European Radiology Abdomen European Radiology Cardiovascular and Thoracic European Society of Radiology Behind every published paper are reviewers who helped shape it. Join us for an exclusive look into the world of the....

28/09/2026

Can late gadolinium enhancement quantification improve sudden cardiac death risk stratification in hypertrophic cardiomyopathy?

🫀 Both single-threshold and dual-threshold approaches predicted sudden cardiac death
📊 The gray zone showed stronger prognostic associations
🎯 Both approaches added value beyond guideline-based risk models
⚙️ Standardized late gadolinium enhancement quantification may improve risk stratification

https://link.springer.com/article/10.1186/s13244-026-02385-3 (Lili Wang et al.)

25/09/2026

Does artificial intelligence perform consistently across different mammography devices?

📊 AI performance varied considerably across 3 mammography devices
⚙️ Device-specific thresholds improved cancer detection and reduced radiologist workload
⚠️ Performance remained poor on one device despite threshold optimization
🎯 AI training and validation should account for device-specific variability

https://link.springer.com/article/10.1186/s13244-026-02383-5 (Marcel Blum et al.)

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