Insights Into Imaging

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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.

21/11/2025

CT-based clinical-radiomics machine learning model predicts early response to PD-1 inhibitor + chemotherapy in advanced gastric cancer (GC).

📊 Key findings:
🔹 Logistic regression–based clinical-radiomics model achieved the best performance
- AUC = 0.94 (internal) | 0.85 (external)
🔹 Combines CT radiomics + clinical data for robust prediction
🔹 Offers a noninvasive tool for early assessment of immunotherapy efficacy (Zhipeng Wang et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02096-1

21/11/2025

🫁 Predicting lymphovascular invasion (LVI) in non-small cell lung cancer (NSCLC) using 18F-FDG PET/MRI

🔹 Both metabolic (SUVmax, MTV, TLG) and diffusion (IVIM, DKI) parameters differed by LVI status
🔹 MTV and true diffusion coefficient (D) were independent predictors
🔹 Combined PET–MRI model achieved AUC = 0.84, improving diagnostic performance

This multimodal approach may aid personalized NSCLC management. (Qianqian Chen et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02078-3

20/11/2025

📊 New study: Gender disparities persist in radiology editorial leadership.

Across 135 journals indexed in the 2024 JCR:
👩🔬 Women = 20.2% of all editors
📈 Female representation highest in Q1 journals (26%)
🔗 Eigenfactor Score, not impact factor, correlated with gender inclusion

Findings highlight the need for transparent, equity-focused editorial policies in academic publishing. (Paola Martinez-Greiser et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02128-w

19/11/2025

🧠 New study: How well do AI chatbots explain radiology reports?

Comparing ChatGPT, Gemini, and Copilot, researchers found:
✅ All models were medically accurate
💬 ChatGPT gave the most readable and understandable explanations
🩺 Copilot added more clinical detail and cautious language
👥 Gemini emphasized patient-centered guidance

📘 Findings highlight context-specific use of AI for patient communication in radiology. (Ahmet Bozer & Yeliz Pekçevik)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02121-3

18/11/2025

🦴 Dual-energy CT–based multi-material decomposition (MMD) shows MRI-level accuracy in detecting rotator cuff disease 🎯

✅ MMD outperformed standard CT
✅ Comparable to MRI for supraspinatus tendon tears
✅ Promising alternative for patients with MRI contraindications (Suwei Liu et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02119-x

17/11/2025

🩻 What Drives Research Productivity in Radiology?

A survey of Nordic radiologists reveals key factors influencing research involvement and success.

📊 Highlights:
• Radiologists active in research report greater skills, resources, and motivation
• Top barriers: lack of time (61%), low motivation (36%), and limited funding (23%) (Pyry Jylhä-Vuorio et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02108-0

17/11/2025

🫁 New Review: Imaging in Extracorporeal Membrane Oxygenation

Extracorporeal membrane oxygenation (ECMO) provides life support for patients with severe lung or heart failure - and imaging plays a vital role in safe management.

📘 Highlights:
• Veno-venous ECMO supports isolated respiratory failure
• Veno-arterial ECMO supports heart and lung failure
• Tailored CT protocols improve accuracy
• Imaging helps detect bleeding, clot formation, infection, and vascular injury (Francesco Lauriero et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02100-8

14/11/2025

🩻 The falciform ligament & ligamentum teres hepatis (LTH) play important clinical and imaging roles.

📘 Highlights:
• Anatomy & congenital variants
• Inflammatory, infectious, neoplastic, & vascular pathologies
• Imaging pearls to avoid pseudolesion misinterpretation

🎯 Takeaway:
Recognizing falciform & LTH abnormalities is key for accurate diagnosis, surgical planning, & preventing unnecessary interventions. (Sevtap Arslan et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02116-0

13/11/2025

🧬 In HCC patients treated with immune checkpoint inhibitors (ICIs), diffusion MRI reveals prognostic insights.

📊 Key Findings:
• Higher substantial tumor ADC (sADC) → longer overall survival (HR 0.63, p = 0.015)
• Positive ΔsADC group → better PFS (12 vs 6.4 mo) & OS (20.5 vs 13.3 mo, p < 0.001)
• sADC links tumor burden ↔ inflammation

🧠 Takeaway:
Baseline and posttreatment sADC may serve as prognostic imaging biomarkers in HCC patients receiving ICIs. (Xiaona Fu et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02115-1

12/11/2025

🧠 Conus medullaris & cauda equina syndromes often overlap clinically - but imaging reveals the difference.

🩻 Key takeaway: Contrast-enhanced MRI is essential for distinguishing tumors, infections, vascular & inflammatory causes.

🔑 Highlights:
• Myxopapillary ependymomas → vertebral scalloping
• Schwannomas → cystic lesions
• AVFs & infarcts → mimic neoplasms (Nerses Nersesyan et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02117-z

11/11/2025

🧠 New study:

A post-hoc analysis of the MR CLEAN-MED trial examined whether white matter lesion (WML) volume modifies the effect of periprocedural aspirin or heparin during endovascular treatment for acute ischemic stroke.

📈 Findings show that WML volume significantly modified the effect of aspirin on symptomatic intracranial hemorrhage (sICH) risk, with higher WML volumes linked to a lower aspirin-associated risk. However, no WML-based subgroup demonstrated a clear benefit from aspirin or heparin use. (Laura M. van Poppel et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02095-2

10/11/2025

💡 helps decode lung nodules!

A deep learning model (Swin Transformer) can noninvasively predict the pathological subtypes of pure ground-glass nodules (pGGN) on CT - better than radiologists.

✅ Accuracy: 91–95%
✅ F1-score: 91%
🩺 Supports preoperative decision-making and patient prognosis (Yanhua Wen et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02113-3

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