📰 Deputy Editor Elisabetta Giannotti has expanded her area of expertise to include Breast Imaging and Sustainability, and we can announce we warmly welcome submission on these important topics! #InsightsintoImaging

A novel ultrasound classification for tubal ectopic pregnancy (TEP) is proposed, linking imaging features with serum markers. 🔹 320 women with TEP 🔹 Simple GS-like: smaller masses, higher β-hCG, higher Doppler grades 🔹 Strong β-hCG–mass size correlation in simple GS-like

📢 New article in #InsightsintoImaging Researchers developed a CT-based Deep Learning Radiomics Nomogram (DLRN) to predict early recurrence of hepatocellular carcinoma (HCC) after liver transplantation. 🔹 Two-center study, n=245 🔹 AUC: 0.884 (training), 0.829 (validation) 🔹

📢 New article in #InsightsintoImaging Microwave ablation (MWA) of bone lesions was evaluated for feasibility, safety & efficacy in 43 patients (51 lesions). 🔹 100% technical success 🔹 Adverse events: 8.3% grade I, 2.8% grade III (none in benign cases) 🔹 Complete imaging

A new #InsightsintoImaging narrative review: The role of blood flow & vasculature in uterine fibroids and how imaging can improve clinical care. 🔹 Blood supply is central to fibroid genesis, diagnosis & treatment 🔹 Ultrasound & MRI reveal complex vascular composition 🔹

This multicenter study compared outcomes of radiofrequency ablation (RFA) for local tumor progression (LTP) vs intrahepatic distant recurrence (IDR) in recurrent hepatocellular carcinoma (rHCC). 🔹 584 patients (2010–2022), median follow-up 5.8 yrs 🔹 OS: similar between LTP &

📢 New article in #InsightsintoImaging A multicenter study developed a CT radiomics model to predict fibrosis grade in pancreatic ductal adenocarcinoma (PDAC). 🔹 Best-performing model: Combined Phase (CP) 🔹 AUCs: 0.831 (training), 0.785 (internal), 0.746 (external) 🔹

This educational review provides a practical guide for breast radiologists in evaluating pathological nipple discharge, emphasizing the role of imaging in reducing unnecessary surgeries. It outlines a stepwise approach beginning with ultrasound and mammography, progressing to

🩺📷 Predicting tertiary lymphoid structures in gallbladder cancer using MRI #radiomics New study shows a combined clinical and radiomics model can: ✅ Preoperatively predict intratumoural tertiary lymphoid structures ✅ Stratify recurrence-free survival after surgery ✅

🫀📷 Left ventricular remodeling index predicts ventricular tachyarrhythmia New study in patients with nonischemic dilated cardiomyopathy and left ventricular ejection fraction below 35%: ✅ Left ventricular remodeling index ≥7.5 linked to higher risk of lethal ventricular

🫀📷 Photon-counting CT for ventricular arrhythmias This study shows late enhancement photon-counting CT can characterize pathologic left ventricular segments with good agreement to endocardial electroanatomical mapping: ✅ Ischemic cardiomyopathy: good agreement with unipolar

A new ResNet-ViT Contrastive Learning (RVCL) model predicts the macrotrabecular-massive (MTM) subtype of HCC from contrast-enhanced CT. ✅ External test AUC = 0.93 ✅ Outperforms baseline deep learning (AUC 0.46–0.72) and machine learning models (0.49–0.60) ✅ Alpha-Fetoprotein

🧠📊 Head CT in the ED: are referrals appropriate? Study of 2,908 requests in Italy: - Only 21% had adequate referral quality (RI-RADS A/B) - 25% were “usually not appropriate” (ACR) - Inappropriate CTs rarely detected acute disease (1% vs 11%, p<0.001) - Headache & syncope =

Hello! I’m Elisabetta Giannotti, Consultant Breast Radiologist at Addenbrookes Hospital, Cambridge, and Deputy Editor for Breast for Insights into Imaging. I’m excited to share a selection of recent papers I’ve chosen for their unique contributions to breast imaging. The

Deep learning + chest X-rays for pediatric age estimation ✅ ResNet + Coordinate Attention model trained on 128k images ✅ Strong correlation with true age (ρ > 0.98) ✅ Model focuses on spine, mediastinum & bones (Maolin Li et al.) #InsightsintoImaging

Spontaneous renal bleeding into the perinephric space is a rare but potentially life-threatening condition. Measuring the angiomyogenic component in renal angiomyolipoma could help address current knowledge gaps and aid in the more efficient selection of patients for therapeutic

🧪 Shear Wave Elastography (SWE) shows promise as a non-invasive biomarker in pediatric primary nephrotic syndrome (PNS). 📊 Findings: - Higher renal stiffness in PNS vs. controls (22.36 vs. 17.51 kPa, p<0.05) - ROC AUC = 0.67 → moderate predictive value (Jianhuan Yang et al.)

🚀 New study: PerAIDE, an #AI-driven system for rapid & accurate quantification of pulmonary perfusion in chronic pulmonary thromboembolism. ✅ Distinguishes chronic thromboembolic pulmonary disease and hypertension (AUC 0.81) ✅ Strong correlation with hemodynamic severity ✅

New insights on Hepatocellular carcinoma (HCC): 🔎 Imaging goes beyond diagnosis - offering prognostic & predictive value. 📊 Features like tumor size, multifocality & low ADC correlate with aggressiveness & microvascular invasion. (Claudian Deyirmendjian et al.)

📊 Radiology subspecialisation across Europe ✅ Recognised in 25 countries ❌ Not recognised in 12 countries (but 9 show interest for future recognition) 🌍 Wide variation: from 0 to 12 officially recognised subspecialties per country 👉 Based on responses from 37/47 ESR