📢 New #InsightsintoImaging: Pancreatic Fat as a Multi-System Risk Factor

📢New #InsightsintoImaging Article

This study tracks 1,817 oral presentations from ECR 2019 @myESR and reveals that 46.5% achieved peer-reviewed publication — consistent with European Congress of Radiology 2010 (43%).

📢 New #InsightsintoImaging Research

❤️‍🔥 Can we lower radiation and contrast in CCTA — without losing diagnostic accuracy?

📢 New #InsightsintoImaging Article

🧠 Negative prostate MRI — but is biopsy still needed?

📊 In 606 MRI-negative men, AI-derived TZ-PSAD outperformed conventional PSAD for detecting clinically significant prostate cancer:
AUC 0.718 vs 0.686 (p=0.019)

📢 Review #InsightsintoImaging Article Spotlight

🧬 Pheochromocytomas & paragangliomas (PPGLs): up to 70% linked to genetic mutations (SDHx, VHL, MEN, NF1, Carney triad).

📢 New #InsightsintoImaging Research

🩺 Renal biopsy has limitations in diagnosing membranous nephropathy (MN) — could MRI help?

📢 New #InsightsintoImaging article

🧠 Endometriosis-specific MRI templates achieve 80% completeness
📄 General templates: 60%
✍️ Free-text reports: 50%

🎯 New #InsightsintoImaging study: Predicting neoadjuvant chemoimmunotherapy response in head and neck cancer with a combined clinical-MRI model.

🚨 New #InsightsintoImaging research: AI helps tell apart colorectal liver metastases and hemangiomas on CT scans.

🔹 ResNet-152 model AUC up to 0.875
🔹 Boosts radiologist accuracy for 10–30 mm lesions (AUC 0.879 vs 0.851)
🔹 Subcentimeter lesions remain challenging—MRI may still be needed

New #InsightsintoImaging study: Multiregional MRI deep learning radiomics nomogram predicts axillary pCR after neoadjuvant chemotherapy in breast cancer.

Carotid Plaque-RADS improves preoperative coronary risk stratification in candidates for carotid revascularization - Insights into Imaging Objectives In this retrospective study, we aimed to assess the predictive value of the Carotid Plaque-RADS (Reporting and Data System) for coronary functional stenosis in candidates for carotid…

🧠🫀 New #InsightsintoImaging study: Carotid Plaque-RADS on HR-MRI predicts coronary functional stenosis in candidates for carotid revascularization.

🔹 Independent predictor (OR = 2.35)
🔹 AUC = 0.81, sensitivity 85%, specificity 68%
🔹 Supports integrated carotid–coronary risk stratification

🫁 New #InsightsintoImaging study: Contrast-enhanced CT–based radiomics enables preoperative prediction of visceral pleural invasion (VPI) in early-stage NSCLC.

🔹 Radiomics AUC = 0.812 (outperforms CT features)
🔹 Combined model AUC = 0.825
🔹 Supports earlier, better-informed treatment planning

🚀 New #InsightsintoImaging study: mpMRI-based habitat radiomics + deep learning can accurately predict response to androgen deprivation therapy (ADT) in prostate cancer.

🔹 Ensemble model AUC = 0.886
🔹 Habitat radiomics > conventional radiomics for Gleason stratification
🔹 Interpretable with SHAP

🖐️ #InsightsintoImaging new article: FRACTURE MRI for Hand Tendons

FRACTURE, a fast field echo sequence with restricted echo-spacing, outperforms T2WI & PD-VISTA in visualizing hand tendons.

Keeping AI in medicine and radiology within the framework of scientific method: measuring to close the epistemic gap - Insights into Imaging Insights into Imaging -

#InsightsintoImaging Opinion Paper!

🧪🤖 AI is powerful - but science must guide it

Hospitals need auditable pipelines, preregistered evaluations, and external validation to ensure AI is robust, interpretable, and clinically meaningful.

🩺 New #InsightsintoImaging study in Biliary Atresia (BA).

A large two-center study of 1,352 infants achieved outstanding diagnostic accuracy for BA:
📈 AUC up to 0.972 across training, validation & test cohorts
📏 Optimal MR-TCT cutoff: 3.75 mm (AUC 0.828)

📢 New study in #InsightsintoImaging

A study of 193 patients shows that deep learning reconstruction (DLR) for diffusion-weighted imaging (DWI) can halve acquisition time while improving image quality and lesion differentiation.

📢 New study in #InsightsintoImaging

🩻 Predicting PRCC Recurrence with Preoperative CT

A multicenter study (n=266) developed a CT-based radiological score using tumor margin irregularity and regional lymph node size to predict papillary renal cell carcinoma recurrence after surgery.

✨ Key points:

📢 New study in #InsightsintoImaging

🔬 In a study of 366 patients, ultrasound-guided microwave ablation (MWA) for uterine fibroids and adenomyosis showed an overall adverse events rate of 77.3%, significantly higher in adenomyosis.

🦴 New in #InsightsintoImaging:

MRI analysis reveals that concave lesion margins—smooth, inward-curved borders—are more common in benign bone lesions.

✅ Seen in osteonecrosis & fibrous dysplasia
🚫 Rare in malignant lesions
🔍 A simple imaging sign suggesting a non-aggressive nature (Nan Xu et al.)

Critical dialogue: Can AI-based imaging predict tumor biology? Infer metastasis, microvascular invasion, and growth patterns from pixels - Insights into Imaging Insights into Imaging -

A new #InsightsintoImaging article explores how AI-derived imaging biomarkers can bridge the gap between non-invasive imaging and molecular profiling, offering deeper insight into tumor behavior, aggressiveness & treatment response. (Yashbir Singh et al.)

link.springer.com/article/10.1...

It's the 5th day of our #InsightsintoImaging Radvent calendar!

🎄✨ Unwrapping Rim Arterial Phase Hyperenhancement ✨🎄

"Today’s advent topic reveals a “bright ring” often spotted on contrast-enhanced CT and MRI: rim arterial phase hyperenhancement (rim-APHE)." - Roberto Cannella

Quantitative assessment of hepatic steatosis by ultrasound-guided attenuation parameter in patients with impaired glucose tolerance - Insights into Imaging Objectives Our objective was to provide further evidence regarding the diagnostic accuracy of ultrasound-guided attenuation parameter (UGAP) for detecting hepatic steatosis in a selected and…

📊 Key findings:
• UGAP AUCs: 0.98 (≥S1), 0.96 (≥S2), 0.99 (≥S3)
• BMI, waist circumference, and skin-liver distance affect measurements
• UGAP ≈ MRI-PDFF in diagnostic accuracy

(Ruixia Gao et al.) #InsightsintoImaging

insightsimaging.springeropen.com/articles/10....

New #InsightsintoImaging study shows that the ultrasound-guided attenuation parameter (UGAP) accurately detects hepatic steatosis in patients with impaired glucose tolerance — showing strong correlation with MRI-PDFF (r = 0.89, p < 0.001).

In thyroid-associated ophthalmopathy (TAO), FOCUS-MUSE DWI outperforms both MUSE and FOCUS DWIs.

📸 Findings:
• Fewer artifacts & distortions
• Sharper image quality & higher SNR
• Best staging accuracy for active TAO (AUC = 0.89)

(Lu Chen et al.) #InsightsintoImaging

shorturl.at/x3JVS

The role of 4DCT in the localization of parathyroid adenomas in primary hyperparathyroidism: a retrospective cohort study - Insights into Imaging Objectives To evaluate the diagnostic value of four-dimensional computed tomography (4DCT) in conjunction with ultrasonography (US) and sestamibi scintigraphy (SeS) with 99mTc-MIBI, compared to US…

4D-CT also detected 48 missed adenomas, incl. 21 ectopic sites.
➡️ Improves surgical planning, but negative scans need cautious interpretation. (Scott Klerkx et al.) #InsightsintoImaging

insightsimaging.springeropen.com/articles/10....

🧠 New #InsightsintoImaging study: Adding 4D-CT to ultrasound (US) and sestamibi scintigraphy (SeS) markedly boosts detection of parathyroid adenomas in primary hyperparathyroidism.

📈 Sensitivity:
• 4D-CT combo → 76.4%
• US → 31.8%
• SeS → 26.2%

This December, join Roberto Cannella and Gennaro D'Anna as they count down to Christmas with our #InsightsintoImaging Radvent calendar! 🎅

Transjugular intrahepatic portosystemic shunt with ePTFE-covered stentgrafts: incidence and predictors of shunt dysfunction - Insights into Imaging Objectives To analyze revision rates after transjugular intrahepatic portosystemic shunt (TIPS) using expanded polytetrafluoroethylene-covered stentgrafts and to identify predictors of shunt…

(Michael B. Pitton et al.) #InsightsintoImaging

insightsimaging.springeropen.com/articles/10....