Additional value of supplemental breast ultrasound in women with a personal history of breast cancer undergoing mammography surveillance.
Ultrasound detects axillary recurrences but not new breast cancers.
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Role of shear wave elastography in the evaluation of cervical lymph nodes during follow-up of differentiated thyroid carcinoma.
Shear wave elastography differentiates malignant thyroid lymph nodes with moderate performance.
Impact of pediatric chronic kidney disease on brain integrity: A combined volumetric and MR spectroscopy analysis.
MRI reveals reduced brain volume and altered metabolism in pediatric CKD.
Innovative Protocol Optimization for Radiation Dose Reduction in Pediatric Head CT Scan.
Protocol optimizes pediatric head CT dose while maintaining diagnostic quality.
Multicentre MRI-based machine learning model for noninvasive prediction of pulmonary metastasis in osteosarcoma integrating intra-tumoral heterogeneity features.
MRI model predicts osteosarcoma pulmonary metastasis using ITH and radiomics.
Improved coronary CT angiography image quality using photon-counting detector CT in SCAPIS reexamination: scan protocol and comparative analysis.
PCD-CT protocol yields superior image quality to EID-CT.
Colorectal liver metastases: imaging strategies for diagnosis, local treatment planning and systemic treatment response.
Imaging guides colorectal liver metastasis diagnosis, treatment, and surveillance.
Photon-counting CT in cardiac imaging: multi-institutional guidance on technical principles, clinical evidence, and practical protocols.
PCD-CT enhances cardiac imaging for diverse cardiovascular assessments.
Aorta and coronary artery assessment using high-contrast respiratory motion corrected and ECG-gated 3D T2-prepared GRE MRI with Dixon fat-water separation in patients with and without prior aortic root surgery at 3 T.
Novel MRI sequence improves aortic imaging quality, detail, and contrast.
Decomposing performance inflation in radiomics: factorial quantification of analytical leakage.
Leakage in radiomics decisions inflates performance significantly, driven by feature selection.
4DCT evaluation of rotational instability and subtalar joint motion in ankle osteoarthritis: a stage-based comparative study.
4DCT quantifies ankle osteoarthritis rotational instability across disease stages.
A CT-based deep learning model to differentiate between benign and malignant adrenal lesions.
Deep learning differentiates adrenal lesions using clinical, biological, and radiological data.
Time-dependent diffusion magnetic resonance imaging: principles, acquisition sequences, main models, current applications, and future directions.
TDDMRI reveals tissue microstructure, improving disease diagnosis and characterization.
Interpretable machine learning and deep learning model for discriminating pheochromocytoma from adrenocortical adenoma based on CT: A multicenter study.
Machine learning differentiates pheochromocytoma from adenoma, improving surgical planning.
Are the ligaments contracted on the concave side of a deformed arthritic knee? - An MRI study.
MRI reveals shortened PCL and sMCL in arthritic knee deformities.
Dose optimization for pediatric chest CT: a comparative study of energy-integrating and photon-counting detector CT using 70 kV and 100 kV protocols with tin filtration regarding image quality and dose exposure.
PCCT reduces pediatric chest CT radiation dose without sacrificing quality.
Ultra-low-dose CT for malignant metastasis screening using a deep learning image reconstruction algorithm.
SR-DLR improves ultra-low-dose CT image quality, detecting metastases with reduced radiation.
Photon-counting CT in gastrointestinal malignancies: a scoping review.
PCCT advances GI oncology imaging with improved conspicuity and dose reduction.
How do lower-limb landmarking errors impact morphometrics in total knee arthroplasty planning?
Sensitivity analysis prioritizes landmark accuracy for total knee arthroplasty planning.
Tumor subregion-based CT habitat radiomics to improve prediction of nodal disease in esophageal squamous cell carcinoma.
Habitat radiomics accurately predicts lymph node metastasis in esophageal cancer.
Prospective study of multiparameter ultrasound for one-stop assessment of liver fibrosis, inflammation, and steatosis in patients with chronic hepatitis B.
Multiparameter ultrasound assesses CHB liver pathology; LS and AC show promise.
MRI-based interpretable deep learning radiomics for predicting treatment response in axial spondyloarthritis.
MRI deep learning models predict TNFi response in axial spondyloarthritis.
Preoperative CT-based node-RADS scoring for risk stratification in pancreatic head cancer: diagnostic accuracy and survival implications.
Node-RADS predicts pancreatic cancer survival and aids risk stratification.
Placenta accreta spectrum beyond previa: why clinical context and imaging expertise matter.
MRI and clinical factors predict PAS in non-previa pregnancies.
Ultra-high resolution Photon-Counting CTA for follow-up assessment of intracranial aneurysms after flow diverter: Initial experience.
UHR-PCCTA accurately assesses post-flow diverter aneurysms, aiding clinical decisions.
Clinical evaluation of deep learning accelerated 3D magnetic resonance cholangiopancreatography at 1.5 T and 3 T.
Deep learning MRCP improves image quality and reduces scan time.
Reproducibility of segmentation and radiomic features in contrast-enhanced CT images of early, intermediate and advanced HCC patients: a multicenter study.
Study improves radiomic reproducibility for HCC lesions, especially early stages.
Diagnostic accuracy of CTA-based quantitative hemodynamics for functional assessment in coarctation of aorta.
Computational fluid dynamics estimates peak systolic pressure gradient non-invasively.
Multicenter evaluation of three-shot SAM2 segmentation for group-level quantification of lumbar paraspinal muscles at the L4/L5 level on multi-sequence MRI.
SAM2 efficiently quantifies lumbar muscles from MRI with minimal labels.
AI-driven target definition using CE-T1w and black blood sequence imaging in stereotactic radiosurgery for brain metastases.
AI method detects and delineates brain metastases on MRI for radiosurgery.
Radiation protection knowledge and self-reported compliance with safety practices among radiology, nuclear medicine, radiotherapy, and interventional/fluoroscopy professionals in Türkiye: A cross-sectional survey.
Survey reveals knowledge gaps impacting occupational radiation safety practices.
Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts.
Radiomics predicts infiltration, aligning with diffusion/perfusion, and offers prognostic value.
The standardized thyroid ultrasound report in a regional thyroid network in the Netherlands: a mixed-methods implementation analysis.
Protocol improves thyroid ultrasound reporting and diagnostic accuracy.
Comparison of Node-RADS for regional lymph node metastasis in pancreatic ductal adenocarcinoma via CT and MRI.
CT and MRI Node-RADS equally predict pancreatic cancer lymph node metastasis and survival.
Deep learning-based segmentation and quantification of pulmonary masses on apparent diffusion coefficient maps: a multicentre reproducibility study.
Deep learning accurately segments lung masses and quantifies ADC.
Deep-learning framework for osteoporosis screening on low-dose X-rays: Addressing image quality variability and cross-ethnic database Heterogeneity.
AIXA Osteo model shows improved osteoporosis screening in diverse settings.
Volumetric perfusion fraction change in MR angiography for monitoring sclerotherapy-related changes in peripheral venous malformations.
VPF quantifies venous malformation treatment response better than MRA or T2w.
Bipolar head dissociation: radiographic assessment of bipolar hemiarthroplasty dislocation and the role of the "O" sign.
CT refines O sign's value in assessing hemiarthroplasty dislocation risk.
Influence of body size on the accuracy of lumbar bone mineral density by dual-energy CT: A phantom study.
DECT precisely measures bone density across body sizes.
TransUNet for automated segmentation of intracranial aneurysms in digital subtraction angiography: A dual-center validation study.
TransUNet accurately quantifies angiographic biomarkers for clinical guidance.
Does slice thickness matter? Diagnostic accuracy of CT-derived fractional flow reserve (CT-FFR) compared with invasive FFR.
Reconstruction slice thickness impacts CT-FFR accuracy for coronary stenoses.
Reduced skeletal muscle index during follow-up as a mortality risk factor in maintenance hemodialysis patients with end-stage renal disease.
Body composition changes during dialysis predict mortality in ESRD patients.
Multiparametric AI-based perfusion analysis outperforms Tmax thresholding for critically hypoperfused tissue estimation in acute ischemic stroke undergoing admission MRI.
AI refines hypoperfused tissue estimation in stroke patients.
Radiological-pathological correlation of Head and Neck Cancer International Group (HNCIG) criteria for extranodal extension across imaging modalities: A retrospective cohort study.
HNCIG criteria improve imaging detection of head and neck cancer extension.
Inter- and intra-observer reliability of measuring posterior tibial slope, anterior tibial translation, and tibiofemoral rotation utilizing weight bearing CT.
Weight-bearing CT reliably measures tibial slope, translation, and rotation.
Longitudinal trajectory of thoracic CTA-derived sarcopenia stratifies mortality risk in transcatheter aortic valve replacement.
Thoracic CTA tracks sarcopenia changes, predicting TAVR outcomes.
Interobserver agreement with MRI vs. CT for pancreatic tumour size measurement before and after neoadjuvant therapy.
CT and MRI show varying agreement for PDAC size measurement.
Beyond the ablation difficulty score (ADS): A novel ablation risk score (ARS) for predicting microwave ablation outcomes in hepatocellular carcinoma.
New score predicts microwave ablation success for liver cancer.
Incremental value of deep learning denoising in low-dose coronary CT angiography in predominantly obese patients.
CNN denoising enhances low-dose CCTA image quality significantly.
Individualized lesion-oriented test-bolus arterial-phase CT improves lesion enhancement and conspicuity in hepatocellular carcinoma.
Tailored CT timing enhances hepatocellular carcinoma detection significantly.
Breast MRI biomarkers of tumor biology: integrating imaging with pathology to guide clinical care.
MRI descriptors predict breast cancer biomarkers and subtypes.
An intelligent fusion model for Ki-67 prediction in non-small cell lung cancer: A cloud-based prediction system integrating radiomics.
Multimodal model accurately predicts NSCLC Ki-67 expression noninvasively.
Digital twin applications in radiology and radiotherapy: Applications, challenges, and future perspectives.
Digital twins enhance radiology and radiotherapy, improving patient outcomes.
Node-RADS v1.0 on chest CT for lung cancer: Reproducibility and diagnostic performance.
Node-RADS v1.0 shows high agreement and specificity for lymph node assessment.
Spectral CT-based multiparametric model for preoperative lymph node metastasis prediction in colorectal cancer.
Spectral CT model accurately predicts lymph node metastasis in colorectal cancer.
Habitat-based MRI heterogeneity radiomics for predicting neoadjuvant chemotherapy response in osteosarcoma.
Heterogeneity radiomics predicts osteosarcoma treatment response after chemotherapy.
Region-guided decoupled fusion network for ultrasound-based classification of thyroid nodules with and without Hashimoto's thyroiditis.
Network models transitions, improves thyroid nodule classification accuracy.
Background parenchymal enhancement as a predictor of invasive disease-free survival in hormone receptor-positive, HER2-negative breast cancer.
BPE predicts survival, but hormonal and timing factors need consideration.
Deep transfer learning radiomics combined with explainable machine learning for predicting malignancy risk in parotid gland tumors based on ultrasound.
Ultrasound radiomics model predicts parotid tumor malignancy preoperatively.
Breast area affects the performance of a commercial artificial intelligence algorithm assessment of negative digital breast tomosynthesis exams.
Breast area, not slice number, impacts AI malignancy assessment.
Brain connectome reorganization across the lifespan in relapsing-remitting multiple sclerosis.
Network features enhance MRI-based normative modeling for multiple sclerosis.
Endovascular stent placement for severe post-transplant portal vein anastomotic stenosis following an unsuccessful TIPS attempt.
Percutaneous stent placement successfully treated portal vein stenosis after transplant.
The influence of weight-bearing and flexion on 3D joint space width and cartilage thickness in knee osteoarthritis: a rotatable MRI study.
Joint loading and flexion strongly influence knee osteoarthritis imaging biomarkers.
Preoperative magnetic resonance imaging evaluation improves breast conserving surgery rate but not local disease control in patients with ductal carcinoma in situ.
MRI accurately measures DCIS lesions, increasing breast-conserving surgery rates.
Image quality evaluation of decubitus lumbar spine MRI using a flexible coil and PROPELLER sequence: comparison with conventional supine MRI.
Decubitus MRI shows acceptable quality; PROPELLER improves signal.
A systematic comparison of abbreviated and unenhanced breast MRI protocols in women with mammographically dense breasts compared to full multiparametric breast MR imaging.
Full MRI protocol demonstrates superior breast cancer detection sensitivity.
Morphological-biomechanical dual-cornerstone framework: quantitative ultrasound for electrodiagnostically negative carpal tunnel syndrome.
QUS framework aids diagnosing electrophysiologically occult carpal tunnel syndrome.
Construction of an interpretable multimodal image model for differentiating T1-stage nasopharyngeal carcinoma from benign hyperplasia.
Multimodal model distinguishes T1-nasopharyngeal carcinoma from benign hyperplasia.
Clinical relevance and reproducibility of morphological MRI findings in liver cirrhosis: Results from ACCESS-ESLD.
MRI features correlate with liver cirrhosis severity and reproducibility.
Clinical and MRI features for differentiating reactive lymphoid hyperplasia from hepatocellular carcinoma in non-cirrhotic chronic HBV patients.
Model uses clinical/MRI features to distinguish RLH from HCC.
The diagnostic performance of machine learning based detection of urinary tract stones: a systematic review and meta-analysis.
Machine learning achieves high accuracy detecting urinary stones on CT scans.
A Radiogenomic Model using MRI and Gene Signature to Predict Complete Response in Breast Cancer.
Radiogenomic model enhances neoadjuvant chemotherapy response prediction in breast cancer.
Ocular radiation protection efficiency and ergonomic performance of a novel Shoulder-Mounted radiation shield for interventional procedures.
Shoulder shield offers superior radiation protection and comfort over head shield.
Diagnostic criteria for sarcopenia in patients undergoing vertebroplasty and kyphoplasty: a systematic review.
Review details sarcopenia diagnostic methods in osteoporotic fracture patients.
When radiology stops being a specialty.
Radiology transforms into integrated diagnostic infrastructure, repositioning radiologists.
Real-world text-only inference of PI-RADS v2.1 from prostate MRI reports using large language models: a lesion-level, zone-aware study.
Large language models infer PI-RADS categories from MRI reports with moderate agreement.
Regional and depth-dependent associations between subchondral bone and cartilage in hip osteoarthritis: a preliminary [
Study explores hip bone activity and cartilage composition.
Dual-layer spectral-detector CT-derived quantifications for preoperative identification of perineural invasion in gastric cancer.
DLCT quantifications identify gastric cancer perineural invasion; combination improves prediction and survival.
A CT-based model integrating deep learning features radiomics and body composition for preoperative prediction of microsatellite instability in colorectal cancer: a multicenter study.
Deep learning model predicts colorectal cancer microsatellite instability using CT.
Fifty-percent diluted contrast medium provides acceptable image quality in cerebral angiography.
Diluted contrast maintains diagnostic angiography quality for aneurysms.
Benchmarking large language models for quality control of chest radiographs and CT reports: a retrospective multimodal study.
LLMs assess medical imaging quality and report consistency.
Added diagnostic value of SPECT/CT for detecting periapical and periodontal inflammation in patients with medication-related osteonecrosis of the jaw.
SPECT/CT detects metabolic changes indicating dental inflammation.
Insights into the complex relationship between pain and imaging-detected structural damage in knee osteoarthritis.
MRI and PET visualize OA pain mechanisms beyond structural damage.
Quantitative MRI of core muscles at different activity levels: muscle-specific metrics and composite core fat fraction and lean-volume scores.
MRI quantifies muscle fat and lean differences between cyclists and inactive individuals.
Imaging Findings of Smoking-related Pulmonary Parenchymal Disease.
Radiologists identify smoking-related lung diseases on CT scans.
Imaging of Obstetric and Nonobstetric Perineal Trauma: MRI Anatomy, Patterns, and Reporting.
MRI detects occult perineal tears and guides complex surgical planning.
Nontransplant Pediatric Hepatobiliary Interventions.
Radiologists manage pediatric liver conditions using interventional techniques.
Perivascular Epithelioid Cell Tumors: Pathogenesis, Clinical Features, and Radiologic Challenges.
PEComas show myomelanocytic differentiation and arise anywhere.
Artifacts at Breast MRI: Appearances and Solutions.
MRI reliably detects breast cancer, but artifacts challenge interpretation.
CT Manifestations of HIV-associated Pulmonary Infections and Noninfectious Mimics in the Era of Antiretroviral Therapy.
CT patterns guide HIV opportunistic infection diagnosis and management.
Postoperative Imaging of Peripheral Nerves: Review of Surgical Techniques, Expected Findings, and Complications.
Imaging guides diagnosis and management of peripheral nerve injuries.
Precision Meets Pain Relief: Image-guided Nerve Blocks in Interventional Radiology.
Interventional radiologists integrate nerve blocks for opioid-sparing pain management.
Cardiac MRI in Depiction of Myocardial Edema: A Comprehensive Review.
MRI distinguishes benign lesions from malignant ones with high accuracy.
Acute COVID-19 lung disease and long COVID vascular pathophysiology modelling: the relevance of medical imaging in building multidisciplinary understanding.
Imaging reveals COVID-19 vascular pathophysiology and guides long COVID guidelines.
Prediction of upgrading in clinically insignificant prostate cancer patients undergoing radical prostatectomy: the value of Ga-68-PSMA PET/CT.
MRI and PSMA PET/CT predict prostate cancer upgrading after surgery.
Mobile head CT with integrated radiation shielding reduces the need for additional personal protective equipment.
Mobile head CT shielding significantly reduces occupational radiation exposure.
The Rapid Long-axis Strain-based Prognostic Models Evaluate Composite Adverse Events for Asymptomatic Dextro-Transposition of the Great Arteries Patients after the Switch Operation.
Strain imaging predicts adverse events in d-TGA patients.
Defining the Ideal Patient Experience in Interventional Radiology: Exploring Influential Factors for High Patient Satisfaction Scores.
Online reviews reveal communication, outcomes, and bedside manner shape patient satisfaction.
Predicting Radiology Burnout via Machine Learning: A Cohort Study.
AI utilization, combined with work factors, predicts radiology burnout.
Multiparametric MRI-Based Integrated Analysis of Clinical, Radiomics, Deep Learning, and Machine Learning for Predicting Tumor Proliferation and Prognosis in Locally Advanced Rectal Cancer.
MRI model predicts rectal cancer proliferation and prognosis.