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.

19/10/2026

How can radiologists avoid diagnostic pitfalls in gynecologic pelvic MRI?

🩻 Standardized MRI protocols improve the assessment of endometriosis, uterine diseases, and adnexal masses.
🎯 O-RADS MRI and FIGO 2023 support structured interpretation, lesion characterization, and staging.
🔎 Recognizing atypical presentations and mimickers helps reduce misdiagnoses and unnecessary interventions.

https://link.springer.com/article/10.1186/s13244-026-02378-2 (Alexandre Faure et al.)

16/10/2026

How do emergency radiologists view CT-guided source control in sepsis?

🩻 85.3% strongly supported CT for intervention planning
⏱️ 66.7% preferred intervention within 1–6 hours of source detection
🎯 Findings support prompt CT-guided source control, ideally within the first 6 hours

https://link.springer.com/article/10.1186/s13244-026-02374-6 (Anne Frisch et al.)

09/10/2026

Can PRECISE scoring guide repeat prostate biopsy?

🎯 Clinically significant prostate cancer detection increased with higher PRECISE scores
📊 0% with PRECISE 1–2 vs 52.4% with PRECISE 4–5
🔍 PSA density and PSA velocity improved risk stratification in equivocal lesions

https://link.springer.com/article/10.1186/s13244-026-02373-7 (Yuxuan Tian et al.)

09/10/2026

Can open-source AI improve ultrasound report quality control?

🧠 Fine-tuned open-source models detected report errors with high accuracy
📊 Qwen3-14B achieved 93.1% detection accuracy and a Macro-F1 score of 0.739
🔍 Performance approached that of senior radiologists and exceeded most proprietary models
🎯 Fine-tuning may enable locally deployable, privacy-preserving quality control

https://link.springer.com/article/10.1186/s13244-026-02394-2 (Min Lai et al.)

08/10/2026

Can systemic inflammation help identify high-risk intracranial atherosclerosis?

🧠 Higher systemic inflammation was associated with acute ischemic stroke and high-risk plaque features
📊 Each increase in the systemic inflammation response index was associated with 32.4% higher stroke risk
🎯 Combined clinical, inflammatory and imaging markers differentiated stroke phenotypes (area under the curve 0.794)
📈 Adding systemic inflammation improved prognostic performance

https://link.springer.com/article/10.1186/s13244-026-02395-1 (Ke Lv et al.)

07/10/2026

How do clinicians read and use radiology reports?

📄 60.3% frequently read the entire report
🖼️ 63.3% support systematic inclusion of key images
📝 55.7% copy the radiologist’s conclusion directly into the medical record
⚠️ 7% reported a medical error after not carefully reading the report

https://link.springer.com/article/10.1186/s13244-026-02387-1 (Yasmine Kassab et al.)

07/10/2026

Can high-pitch free-breathing TRO-CTA reduce radiation dose in acute chest pain?

⚡ Acquisition time: 0.48 vs 6.83 s
☢️ Effective dose reduced by 88%: 1.81 vs 15.63 mSv
🫀 Diagnostic image quality remained comparable across coronary, pulmonary and aortic territories
📋 High-pitch free-breathing TRO-CTA may facilitate rapid low-dose emergency imaging

https://link.springer.com/article/10.1186/s13244-026-02390-6 (Juan Yu et al.)

06/10/2026

Can deep learning improve T2–T3 staging of re**al cancer on MRI?

🧠 MST-Net enabled segmentation-free T2–T3 classification from routine T2-weighted MRI
📊 AUC 0.95 and 90% accuracy in internal testing
🎯 Performance exceeded junior radiologists and was comparable to senior readers
🌍 External validation achieved an AUC of 0.85

https://link.springer.com/article/10.1186/s13244-026-02377-3 (Wei Liu et al.)

05/10/2026

🫁 A multiparametric spectral CT radiomics model accurately differentiated benign and malignant solid pulmonary nodules

📊 The combined clinical-radiomics model outperformed clinical-radiological assessment across all cohorts

🔬 Iodine density and effective atomic number provided complementary spectral CT information

🎯 Strong diagnostic performance was maintained for subcentimeter nodules, including those ≤10 mm

https://link.springer.com/article/10.1186/s13244-026-02380-8 (Yanyan Wang et al.)

05/10/2026

Can matrix MRI and CT features help identify inactive cystic echinococcosis?

🔍 Fatty T1 hyperintensity and the new “matrix flip-flop” sign were strongly associated with cyst inactivity
🎯 Both features showed high specificity (97.4%) for inactive cysts
🪨 Matrix calcifications were significantly more frequent in inactive cysts and uncommon in mimickers
📊 T2 signal evolution enabled a three-tier MRI subclassification of inactive cysts for stage-adapted follow-up

https://link.springer.com/article/10.1186/s13244-026-02375-5 (Marine Julien et al.)

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