iiinova — where your digital self keeps evolving

Insights into Imaging @insightsimaging.bsky.social · 11h

Can 3D muscle analysis on chest CT help identify chronic obstructive pulmonary disease (COPD)? 🫁 3D muscle analysis outperformed conventional 2D assessment 📊 Muscle density progressively decreased from normal to PRISm to COPD 🔍 Erector spinae muscle density was the most relevant parameter

100

Insights into Imaging @insightsimaging.bsky.social · 13h

Can AI make radiology reports easier for patients to understand? 🧠 In 100 adults, AI-simplified neuroradiology reports scored better across all communication domains. 📈 Large effects for clarity, tone, usability & overall impression.

200

Insights into Imaging @insightsimaging.bsky.social · 29/09/2026

After ST-elevation myocardial infarction, the extent of microvascular injury matters. 🫀 Combining microvascular obstruction and intramyocardial hemorrhage identified patients at substantially higher risk of major adverse cardiovascular events.

100

Insights into Imaging @insightsimaging.bsky.social · 28/09/2026

Can dual-layer spectral CT better predict tumor proliferation than diffusion MRI in rectal cancer? 🧬 Extracellular volume fraction showed the strongest association with Ki-67 📊 It achieved an AUC of 0.815, outperforming diffusion MRI parameters

100

Insights into Imaging @insightsimaging.bsky.social · 28/09/2026

🎓 The ESR Journals Review Fellowships 2027 are now open for applications! Behind every published paper are reviewers who helped shape it. Join us for an exclusive look into the world of the peer-review process at two of Europe’s leading radiology journals.

buff.ly

One call, two Review Fellowships: Applications are now open! - European Radiology

Insights into Imaging European Radiology Experimental European Radiology Breast European Radiology Abdomen European Radiology Cardiovascular and Thoracic European Society of Radiology Behind every…

100

Insights into Imaging @insightsimaging.bsky.social · 28/09/2026

Can late gadolinium enhancement quantification improve sudden cardiac death risk stratification in hypertrophic cardiomyopathy? 🫀 Both single-threshold and dual-threshold approaches predicted sudden cardiac death 📊 The gray zone showed stronger prognostic associations

100

Insights into Imaging @insightsimaging.bsky.social · 25/09/2026

Does artificial intelligence perform consistently across different mammography devices? 📊 AI performance varied considerably across 3 mammography devices ⚙️ Device-specific thresholds improved cancer detection and reduced radiologist workload

100

Insights into Imaging @insightsimaging.bsky.social · 25/09/2026

Residual fibroglandular tissue is frequently seen on breast MRI after mastectomy and deep inferior epigastric perforator flap reconstruction. 🔎 Detected in 27.4% of patients 📍 Most commonly located in the upper outer quadrant

100

Insights into Imaging @insightsimaging.bsky.social · 24/09/2026

Can photon-counting CT directly measure the vestibular aqueduct trajectory in Menière’s disease? 🔬 PCCT enables direct visualization of the proximal vestibular aqueduct 📐 Mean ATVA was 106.9°, consistent with previous reports ⚠️ Reproducibility was poor despite direct visualization

111

Insights into Imaging @insightsimaging.bsky.social · 23/09/2026

🔬 Super-resolution MRI enhances tumour definition and tissue detail 🧠 2.5D deep learning captures spatial context across adjacent slices 📊 Integrating intratumoral and peritumoral radiomics achieved an external testing AUC of 0.868

100

Insights into Imaging @insightsimaging.bsky.social · 22/09/2026

Native myocardial T1 mapping is powerful, but T1 values are not directly comparable across scanners and centers. 📏 Field strength, B0/B1, vendors & protocols affect T1 values ⚙️ Standardization and vendor-specific benchmarks are key 🧪 Robust QA/QC improves reliability and comparability

100

Insights into Imaging @insightsimaging.bsky.social · 22/09/2026

📏 Are fixed ultrasound cut-offs always clinically meaningful? 🔎 Single thresholds may oversimplify continuous biological processes, increasing the risk of misclassification near decision boundaries

100

Insights into Imaging @insightsimaging.bsky.social · 10/09/2026

🎯 AI for prostate cancer risk stratification

110

Insights into Imaging @insightsimaging.bsky.social · 09/09/2026

Can bolus tracking improve coronary computed tomography angiography when contrast arrival is delayed? 📌A modified free-breathing, high-threshold bolus-tracking protocol improved coronary enhancement uniformity and increased optimal-phase acquisitions compared with a conventional approach.

110

Insights into Imaging @insightsimaging.bsky.social · 09/09/2026

📚 Can real multidisciplinary team teaching improve radiology training? A prospective study found that multidisciplinary team-based teaching improved practical skills, clinical reasoning, and overall satisfaction among medical imaging interns compared with traditional teaching.

110

Insights into Imaging @insightsimaging.bsky.social · 08/09/2026

A multicenter study of 1,717 biopsy-proven benign breast lesions showed 99.77% complete non-enhancement on day-1 contrast-enhanced ultrasound, with durable lesion regression over a median 38.7-month follow-up.

110

Insights into Imaging @insightsimaging.bsky.social · 07/09/2026

🖐️ Beyond the Palmer classification: a topographic approach to triangular fibrocartilage complex injuries 🔎 A new educational review classifies non-Palmer injuries into central, capsular, and complex or combined lesions, highlighting their distinct imaging features and therapeutic implications.

110

Insights into Imaging @insightsimaging.bsky.social · 07/09/2026

🦵 Beyond the ACL tear: what should radiologists look for on MRI? A new critical dialogue article highlights the expanding role of magnetic resonance imaging in preoperative assessment of anterior cruciate ligament injuries, going beyond simply confirming ligament disruption.

link.springer.com

Critical dialogue: Anterior cruciate ligament reconstruction: evolving surgical concepts and their radiological implications - Insights into Imaging

Insights into Imaging -

120

Insights into Imaging @insightsimaging.bsky.social · 04/09/2026

🫁 Interstitial lung abnormalities: incidental, but not insignificant A new critical dialogue article discusses how to recognize and classify interstitial lung abnormalities on computed tomography, with a focus on fibrotic patterns and their clinical relevance.

link.springer.com

Critical dialogue: Interstitial lung abnormalities: an evolving concept - Insights into Imaging

Insights into Imaging -

110

Insights into Imaging @insightsimaging.bsky.social · 04/09/2026

🫁 Is Europe ready to train the workforce needed for lung cancer screening? A European expert survey found substantial variation in low-dose computed tomography lung cancer screening training across countries, with gaps in awareness and education.

110

Insights into Imaging @insightsimaging.bsky.social · 03/09/2026

🩻 How can infection prevention be improved during intravenous contrast administration in computed tomography?

110

Insights into Imaging @insightsimaging.bsky.social · 02/09/2026

🫁 Can artificial intelligence improve preoperative assessment of small lung adenocarcinomas? 📊 A hybrid radiomics–deep learning model combining solid, ground-glass, and peritumoral computed tomography features achieved high sensitivity for predicting visceral pleural invasion

120

Insights into Imaging @insightsimaging.bsky.social · 01/09/2026

🫁 Not all pure-solid stage I lung adenocarcinomas behave the same. 📊 Mucinous and non-mucinous subtypes showed distinct imaging features, recurrence patterns, and survival outcomes 🎯 Mucinous adenocarcinoma was associated with better 5-year recurrence-free and overall survival

120

Insights into Imaging @insightsimaging.bsky.social · 31/08/2026

Breast cancer risk is not static. 📊 Over 10 years, more than 40% of women with elevated baseline risk were reclassified into a different risk category using the International Breast Cancer Intervention Study risk model

110

Insights into Imaging @insightsimaging.bsky.social · 31/08/2026

Can perivascular adipose tissue improve identification of high-risk carotid plaques? 📊 Spectral computed tomography parameters differed between symptomatic and asymptomatic plaques and correlated with plaque composition

110

Insights into Imaging @insightsimaging.bsky.social · 28/08/2026

In suspected acute appendicitis, how much does report wording matter? 📊 Radiologist-adjudicated computed tomography impressions reduced indeterminate reports and achieved the highest agreement with the final diagnosis

110

Insights into Imaging @insightsimaging.bsky.social · 28/08/2026

How reproducible is Node-RADS for lymph node assessment in colon cancer? 📊 Node-RADS showed substantial agreement across readers, with higher consistency and diagnostic performance among senior radiologists

110

Insights into Imaging @insightsimaging.bsky.social · 27/08/2026

🧠 An interpretable deep learning framework based on magnetic resonance imaging enables noninvasive preoperative grading of intrahepatic mass-forming cholangiocarcinoma.

110

Insights into Imaging @insightsimaging.bsky.social · 26/08/2026

🚨 Could artificial intelligence accelerate pneumoperitoneum detection in emergency care? 📊 High accuracy for detecting clinically relevant free air on abdominal computed tomography, with excellent agreement for volume quantification

110

Insights into Imaging @insightsimaging.bsky.social · 26/08/2026

🎗️ Can contrast-enhanced mammography reshape response assessment during neoadjuvant therapy? 📊 Evidence suggests it is comparable to magnetic resonance imaging for treatment response evaluation and preoperative restaging

110

Insights into Imaging @insightsimaging.bsky.social · 25/08/2026

🤖 Artificial intelligence is only as reliable as the reference standard behind it. 🩻 United States National Institute for Occupational Safety and Health-certified B readers demonstrated strong agreement and high accuracy for tuberculosis detection on chest radiographs.

110

Insights into Imaging @insightsimaging.bsky.social · 10/08/2026

110

Insights into Imaging @insightsimaging.bsky.social · 05/08/2026

Magnetic resonance imaging has transformed prostate cancer staging, but the tumour-node-metastasis classification still relies on digital rectal examination. 📊 Digital rectal examination is inferior for detecting extraprostatic extension

110

Insights into Imaging @insightsimaging.bsky.social · 04/08/2026

🎓 Objective structured clinical examination data (2019–2024) support its use for assessing nuclear medicine resident competence. 📊 Stations showed acceptable difficulty and good discrimination across clinical tasks 🧪 Reliability was moderate and variable across years

110

Insights into Imaging @insightsimaging.bsky.social · 03/08/2026

📊 Interobserver variability remains a key limitation in RECIST tumor response assessment. 🔍 Variability is driven by lesion selection, measurement methods, imaging quality, and reader experience 🧑‍⚕️ Inconsistencies in statistical approaches also reduce comparability across studies

110

Insights into Imaging @insightsimaging.bsky.social · 03/08/2026

Contrast-enhanced mammography is gaining interest for preoperative breast cancer staging. 📊 Tumor extent assessment and detection of additional lesions are comparable to breast magnetic resonance imaging in selected settings 🎯 Influences surgical planning in ~20–30% of patients

120

Insights into Imaging @insightsimaging.bsky.social · 31/07/2026

An MRI-derived intratumoral heterogeneity score (ITHscore) was developed to estimate 21-gene recurrence risk in ER+/HER2− breast cancer. 📊 Higher ITHscore was associated with high-risk recurrence groups 🧠 Adding ITHscore improved prediction performance (AUC up to 0.86)

110

Insights into Imaging @insightsimaging.bsky.social · 31/07/2026

🎓 A competency-based modular training model was evaluated in radiology residency education. 📚 Interdisciplinary, disease-focused modules integrated with clinical rotations and image post-processing 📊 No overall score difference vs traditional training

110

Insights into Imaging @insightsimaging.bsky.social · 30/07/2026

Ultrasound radiomics combined with clinical features improves breast lesion diagnosis in a large multicenter study. 📊 Combined model outperformed radiomics and clinical models alone (AUC up to 0.93) 📉 Potential to reduce unnecessary biopsies while maintaining diagnostic sensitivity

110

Insights into Imaging @insightsimaging.bsky.social · 29/07/2026

A multimodal CT urography model improves perioperative risk stratification in upper tract urothelial carcinoma. 📊 Fusion of clinical data, radiomics, and deep learning outperforms single-modality models 📈 Highest predictive performance achieved for 3-year overall survival (external AUC ~0.77)

110

Insights into Imaging @insightsimaging.bsky.social · 29/07/2026

🖐️ Foveal triangular fibrocartilage complex lesions are frequently underreported on wrist arthro-computed tomography. 📊 Review identified lesions in 59% of cases, with many ulnar/foveal injuries missed in initial reports

120

Insights into Imaging @insightsimaging.bsky.social · 28/07/2026

🫁 A clinicoradiological model predicts spread through air spaces (STAS) in stage IA lung adenocarcinoma. 📊 CT features (CTR ≥90%, bronchial truncation, pleural retraction, satellite nodules) independently predict STAS 📈 Model stratifies recurrence risk with good validation performance (AUC ~0.83)

110

Insights into Imaging @insightsimaging.bsky.social · 27/07/2026

🌍 Deep learning-based CT reconstruction improves environmental sustainability in high-volume imaging. ⚡ Lower electricity use and reduced CO₂e emissions compared with hybrid iterative reconstruction 🧪 Reduced iodinated contrast media consumption with protocol optimization

110

Insights into Imaging @insightsimaging.bsky.social · 27/07/2026

4D flow MRI improves non-invasive detection of high-risk esophageal varices in liver cirrhosis. 📊 Splenic vein velocity, spleen volume, and splenic extracellular volume fraction show strong diagnostic value 📈 Combined model achieves best performance for risk stratification

110

Insights into Imaging @insightsimaging.bsky.social · 24/07/2026

📚 Systematic review of fat necrosis after breast reconstruction and autologous fat transfer. 🩻 Imaging features are largely similar across ultrasound, mammography, and magnetic resonance imaging 📍 Flap surgery shows more peripheral distribution vs more diffuse patterns in fat transfer

110

Insights into Imaging @insightsimaging.bsky.social · 24/07/2026

In pancreatic ductal adenocarcinoma, CT-based assessment of vascular invasion was compared with surgical and histopathological findings. 📊 NCCN-derived CT criteria showed good concordance with intraoperative and histopathological venous invasion

110

Insights into Imaging @insightsimaging.bsky.social · 23/07/2026

📋 A UK survey highlights variability in policies for managing scout images in cross-sectional imaging. 🖼️ Scout images are often stored with diagnostic series and may contain clinically relevant findings ⚠️ Nearly half of departments report no clear protocols for managing scout imaging data

120

Insights into Imaging @insightsimaging.bsky.social · 22/07/2026

🫁 Lobar radiomic clustering reveals spatial patterns of “field cancerization” in high-risk smokers undergoing lung cancer screening. 📊 Distinct radiomic clusters across lung lobes, with higher cancer incidence in high-risk regions

110

Insights into Imaging @insightsimaging.bsky.social · 22/07/2026

🫁 A dual-flow bolus tracking protocol in dual-energy CT pulmonary angiography improves efficiency of pulmonary embolism imaging. 📉 Significant reduction in radiation dose and contrast medium volume 📊 Maintained diagnostic image quality with preserved pulmonary artery visualization

110