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.

08/11/2025

🥳 Happy International Day of Radiology!! Join us in celebrating with and let us know how you’re marking the day! Send us your photos and the best will be featured on the European Society of Radiology page!

⚠️ New study!In patients with hepatocellular carcinoma (HCC) undergoing preoperative radiotherapy, changes in the appare...
07/11/2025

⚠️ New study!

In patients with hepatocellular carcinoma (HCC) undergoing preoperative radiotherapy, changes in the apparent diffusion coefficient (ADC) predicted pathological response better than conventional mRECIST or LR-TR criteria.

📈 Δ-ADCslice% showed the best performance (AUC = 0.92) and excellent reproducibility - making it a promising biomarker for early treatment assessment and surgical planning. (Rong Cong et al.)



https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02090-7

⚠️ New   studyUsing the Reason for Exam Imaging Reporting and Data System (RI-RADS), this study found that:• Only 22% of...
07/11/2025

⚠️ New study

Using the Reason for Exam Imaging Reporting and Data System (RI-RADS), this study found that:
• Only 22% of requisitions were adequate (RI-RADS A)
• Poor-quality requisitions were linked to weaker clinical reasoning
• Fever clinic & thoracic surgery requests were least adequate

💡 Standardized tools like RI-RADS could help bridge the gap between clinical reasoning and imaging quality - promoting safer, more effective care. (Xianwei Liu et al.)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02111-5

Can MR nerve/bone fusion imaging improve grading of cervical neural foraminal stenosis (CNFS)?✅ In a prospective study, ...
06/11/2025

Can MR nerve/bone fusion imaging improve grading of cervical neural foraminal stenosis (CNFS)?

✅ In a prospective study, 3-T MR nerve/bone fusion (3D-T2-FFE + FRACTURE) showed:
• Better visualization of extraforaminal nerve roots (100% vs 63%)
• Higher grading reliability (κ = 0.77–0.84)
• Correlation with patient symptoms

💡 A promising, radiation-free “one-stop” tool for precise CNFS assessment. (Dongmei Jiang et al.)



https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02094-3

⚠️ New   studyAre all risk factors for iodinated contrast media (ICM) hypersensitivity reactions truly relevant?🔍 After ...
04/11/2025

⚠️ New study
Are all risk factors for iodinated contrast media (ICM) hypersensitivity reactions truly relevant?

🔍 After reviewing 126 publications, authors identified 43 published risks - but only 4 remain clinically meaningful:
1️⃣ Prior ICM hypersensitivity reaction
2️⃣ Acute allergic symptoms
3️⃣ The culprit ICM itself
4️⃣ Documentation or management errors

💡 Simplifying risk assessment could improve patient safety and reduce unnecessary concern.

(Lukas Beiner & Ingrid Boehm)

https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02099-y

A CT-based clinical-radiomics model accurately predicts the response of adenocarcinoma of the esophagogastric junction (...
03/11/2025

A CT-based clinical-radiomics model accurately predicts the response of adenocarcinoma of the esophagogastric junction (AEG) to neoadjuvant chemotherapy.

🧠 Combining radiomics + clinical factors (tumor volume, cT stage, Siewert type) improved prediction vs. either alone (AUC up to 0.90).

💡 This tool may help identify which AEG patients benefit most from NAC - sparing others from unnecessary toxicity. (Chuan-qinyuan Zhou et al.)



https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02103-5

🩺 Can body composition predict response to therapy in Crohn’s disease?In a study of 113 patients with active CD treated ...
03/11/2025

🩺 Can body composition predict response to therapy in Crohn’s disease?

In a study of 113 patients with active CD treated with Ustekinumab:

📌 Higher MCFI (mesenteric creeping fat index) and fibrofatty proliferation scores were linked to lower rates of transmural healing (TH)
📌 Presence of sarcopenia was also associated with reduced TH
📌 MCFI score was the strongest predictor, followed by fibrofatty proliferation and sarcopenia

💡 Conclusion: Baseline CT enterography assessment of creeping fat helps predict treatment outcomes and supports early risk stratification. (Fangling Zhang et al.)



https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02101-7

🏃♂️ Lateral ankle sprains are among the most frequent sports injuries. But what role does ankle anatomy play?💡A study of...
31/10/2025

🏃♂️ Lateral ankle sprains are among the most frequent sports injuries. But what role does ankle anatomy play?

💡A study of 216 patients using ankle MRI found that subtle anatomical differences in ankle structure can predispose patients to sprains, helping explain why some are more vulnerable than others. (João Vieira et al.)



https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02102-6

🧠✨ New research highlights the importance of MRI protocol choice in multiple sclerosis.In a study of 255 MRIs, investiga...
31/10/2025

🧠✨ New research highlights the importance of MRI protocol choice in multiple sclerosis.

In a study of 255 MRIs, investigators compared 3DT1 turbo spin echo (3DT1TSE) vs. 3DT1 turbo field echo (3DT1TFE) for detecting gadolinium-enhancing lesions:

📌 Consensus review: 70 enhancing lesions identified
📌 Detection: 100% on 3DT1TSE vs. 91% on 3DT1TFE
📌 Sensitivity: 84-90% (3DT1TSE) vs. 40-45% (3DT1TFE) (Pablo Naval-Baudin et al.)



https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02093-4

🚨 New blog post! CLEAR, METRICS, and their E3 extensions: a comprehensive framework for evaluating radiomics research
30/10/2025

🚨 New blog post! CLEAR, METRICS, and their E3 extensions: a comprehensive framework for evaluating radiomics research

Authors Jingyu Zhong1,2, Burak Kocak3, Renato Cuocolo4 Authors’ institutions: 1 Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China 2 Shanghai Key Laboratory of Flexible Medical Robotics, Tongren Hospital, Institute of Medical Robotics, Shangh...

📢Machine learning + CT radiomics may transform prognosis prediction in oesophageal squamous cell carcinoma.🔍 In a cohort...
30/10/2025

📢Machine learning + CT radiomics may transform prognosis prediction in oesophageal squamous cell carcinoma.

🔍 In a cohort of 526 patients, models integrating radiomic and clinicopathological features achieved strong performance:

Recurrence prediction AUC ≈ 0.83
Recurrence pattern prediction AUC ≈ 0.80

✅ Importantly, risk stratification identified stage II–III patients who gained significant benefit from adjuvant therapy, improving disease-free survival. (Mingyu Liu et al.)



https://insightsimaging.springeropen.com/articles/10.1186/s13244-025-02049-8

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