Insights Into Imaging

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.

🦻 Mapping the inner ear in Meniere’s disease🔹 Affected and unaffected MD ears show increased cochlear height and altered...
07/05/2026

🦻 Mapping the inner ear in Meniere’s disease

🔹 Affected and unaffected MD ears show increased cochlear height and altered semicircular canal angles
🔹 Vestibular expansion occurs in long-duration disease (>5 years)
🔹 Key angular metrics correlate with endolymphatic hydrops severity, suggesting impact on endolymphatic dynamics

https://link.springer.com/article/10.1186/s13244-026-02252-1 (Yan Huang et al.)

🫀 Quantifying vascular inflammation in Takayasu arteritisAortic fat attenuation index (FAI) on routine CTA emerges as a ...
06/05/2026

🫀 Quantifying vascular inflammation in Takayasu arteritis

Aortic fat attenuation index (FAI) on routine CTA emerges as a promising biomarker for disease activity:

🔹 Higher aorta-specific FAI in active TA correlates with Kerr score, wall thickness, and ESR
🔹 Each unit increase in FAI raises odds of active disease by 14%
🔹 Combining FAI with CTA morphology improves diagnostic accuracy (AUC 0.80)

https://link.springer.com/article/10.1186/s13244-026-02237-0 (Zhijie Jian et al.)

A multicenter study developed a combined radiomic-clinical model using chest X-rays to accurately identify COPD:🔹 Strong...
06/05/2026

A multicenter study developed a combined radiomic-clinical model using chest X-rays to accurately identify COPD:

🔹 Strong performance across training, internal, and external cohorts (AUC ~0.76)
🔹 SHAP analysis highlights key factors: radiomic features, age, smoking history, and s*x
🔹 Enables interpretable, individualized risk assessment

https://link.springer.com/article/10.1186/s13244-026-02254-z (Qian Zhou et al.)

🦴 Mapping the lymphatic skeletonNonenhanced magnetic resonance lymphography (NEMRL) offers a noninvasive, radiation-free...
05/05/2026

🦴 Mapping the lymphatic skeleton

Nonenhanced magnetic resonance lymphography (NEMRL) offers a noninvasive, radiation-free approach to detect and characterize skeletal involvement in diffuse lymphatic diseases:

🔹 Visualizes lymphatic circulation and bone lesion connections
🔹 Identifies disease extension, severity, and extraosseous lymphatic anomalies
🔹 Guides diagnosis and therapeutic decision-making

https://link.springer.com/article/10.1186/s13244-026-02208-5 (Clément Cholet et al.)

📊 Predicting lymphatic metastasis in re**al cancerA new study integrates diffusion kurtosis imaging (DKI) habitat radiom...
04/05/2026

📊 Predicting lymphatic metastasis in re**al cancer

A new study integrates diffusion kurtosis imaging (DKI) habitat radiomics with immune-inflammatory biomarkers to assess lymphovascular invasion (LVI) and lymph node metastasis (LNM) risk:

🔹 Novel habitat radiomics score captures tumor heterogeneity
🔹 Combined model achieves high predictive performance (AUC up to 0.947)
🔹 Enhances risk stratification and complements biopsy-based assessment

https://link.springer.com/article/10.1186/s13244-026-02243-2

PNET-PRISM, a CT-based radiomics nomogram, accurately grades pancreatic neuroendocrine tumors and complements EUS-FNA li...
04/05/2026

PNET-PRISM, a CT-based radiomics nomogram, accurately grades pancreatic neuroendocrine tumors and complements EUS-FNA limitations:

🔹 High performance across 407 patients (AUC up to 0.92)
🔹 Perfect sensitivity in external validation
🔹 Stratifies progression-free survival with multidimensional deep learning features
🔹 Provides reliable grading even when biopsy is insufficient

https://link.springer.com/article/10.1186/s13244-026-02250-3 (Ying Li et al.)

Cadaveric study shows how injection technique affects distribution in the glenohumeral joint:🔹 Rotator interval & dual-t...
01/05/2026

Cadaveric study shows how injection technique affects distribution in the glenohumeral joint:

🔹 Rotator interval & dual-target approaches reliably reach the anterior capsule and biceps tendon
🔹 Dual-target uniquely covers the subdeltoid bursa
🔹 Posterior approach best targets the posterior capsule

https://link.springer.com/article/10.1186/s13244-026-02255-y (Ondřej Naňka et al.)

🫁 Refining ILD classification with quantitative imagingThis study highlights the value of quantitative CT (QCT):🔍 Distin...
01/05/2026

🫁 Refining ILD classification with quantitative imaging

This study highlights the value of quantitative CT (QCT):
🔍 Distinguishes IPAF from CTD-ILD and IPF using objective imaging features
📊 Identifies the GGO-to-consolidation ratio as a key diagnostic and prognostic marker
⏳ Links QCT patterns to progression-free survival

https://link.springer.com/article/10.1186/s13244-026-02253-0 (Marijan Pušeljić et al.)

ALPPS is reshaping treatment for patients with malignant liver tumors by enabling resection in cases with insufficient l...
30/04/2026

ALPPS is reshaping treatment for patients with malignant liver tumors by enabling resection in cases with insufficient liver volume.

📈 Rapid liver regeneration opens new surgical possibilities
⚠️ Careful patient selection is critical due to associated risks
🖥️ Imaging plays a central role: from preoperative planning to postoperative monitoring

https://link.springer.com/article/10.1186/s13244-026-02247-y (Mengqi Huang et al.)

Gastric contrast ultrasonography - OCUS and DCEUS - is emerging as a powerful, noninvasive approach for evaluating gastr...
29/04/2026

Gastric contrast ultrasonography - OCUS and DCEUS - is emerging as a powerful, noninvasive approach for evaluating gastric tumors.

🔍 Real-time insights into tumor morphology and perfusion
💡 Cost-effective, radiation-free, and accessible
📊 Expanding roles in screening, diagnosis, staging, and treatment monitoring

https://link.springer.com/article/10.1186/s13244-026-02242-3 (Guanmo Liu et al.)

An optimized deep learning algorithm demonstrates high accuracy in detecting and subtyping intracranial hemorrhage on no...
29/04/2026

An optimized deep learning algorithm demonstrates high accuracy in detecting and subtyping intracranial hemorrhage on non-contrast CT.

⚡ Sensitivity up to 93.9% with excellent negative predictive value
🔍 Detects cases missed on initial radiology reads
🤝 Comparable performance to radiologists, with added value as a triage tool

https://link.springer.com/article/10.1186/s13244-026-02249-w (Franziska Tombach et al.)

A new study shows that combining ultrasound radiomics with clinical data can significantly improve prediction of intrahe...
28/04/2026

A new study shows that combining ultrasound radiomics with clinical data can significantly improve prediction of intrahepatic recurrence after hepatectomy in colore**al liver metastases.

📈 Integrated machine learning model outperforms standalone approaches
🧠 Leverages both imaging features and clinicopathological factors
🎯 Supports personalized follow-up and risk-adapted care

https://link.springer.com/article/10.1186/s13244-026-02227-2 (Ting Hu et al.)

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