European Radiology

Papers
(The median citation count of European Radiology is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase89
Diagnostic accuracy of computed tomography angiography (CTA) for diagnosing blunt cerebrovascular injury in trauma patients: a systematic review and meta-analysis85
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility83
Correction to: Prediction for pathological and immunohistochemical characteristics of triple‑negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonogr77
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery73
The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms67
Tumor habitat analysis by magnetic resonance imaging distinguishes tumor progression from radiation necrosis in brain metastases after stereotactic radiosurgery65
Reproducible imaging-based prediction of molecular subtype and risk stratification of gliomas across different experience levels using a structured reporting system61
Spatial distribution of cerebral microbleeds reveals heterogeneous pathogenesis in CADASIL56
Editorial Comment: Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas51
Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm)51
Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas48
CT imaging-based approaches to cochlear duct length estimation—a human temporal bone study47
Image-guided thermal ablation in autonomously functioning thyroid nodules. A retrospective multicenter three-year follow-up study from the Italian Minimally Invasive Treatment of the Thyroid (MITT) Gr44
Diagnostic performance of the medial temporal lobe atrophy scale in patients with Alzheimer’s disease: a systematic review and meta-analysis44
Prospective comparison of simultaneous [68Ga]Ga-PSMA-11 PET/MR versus PET/CT in patients with biochemically recurrent prostate cancer43
Transcholecystic management of extrahepatic duct stones in poor candidates for endoscopic or transhepatic approaches43
Editorial comment: advances in the evaluation of liver imaging and function with gadoxetic acid–enhanced MRI42
CT-derived fractional flow reserve (FFRct) for functional coronary artery evaluation in the follow-up of patients after heart transplantation42
Correction to: Intra-scan inter-tissue variability can help harmonize radiomics features in CT40
Editorial comment on “Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms”39
Prediction of recurrence after surgery based on preoperative MRI features in patients with pancreatic neuroendocrine tumors39
Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes38
Artificial intelligence for stepwise diagnosis and monitoring of COVID-1937
Difference in the joint space of the medial knee compartment between full extension and Rosenberg weight-bearing radiographs37
Development and validation of visual grading system for stenosis in intracranial atherosclerotic disease on time-of-flight magnetic resonance angiography37
Comparison of low-contrast detectability between uniform and anatomically realistic phantoms—influences on CT image quality assessment36
Dual-energy CT may predict post-operative recurrence in early-stage glottic laryngeal cancer: a novel nomogram and risk stratification system35
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography34
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis34
Reduced magnetic resonance angiography signal intensity in the middle cerebral artery ipsilateral to severe carotid stenosis may be a practical index of high oxygen extraction fraction33
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study33
Diffusion kurtosis imaging and dynamic contrast-enhanced MRI for the differentiation of parotid gland tumors33
Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI33
Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer33
Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study32
A deep learning–machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors32
Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study32
Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography32
Do plaque-related factors affect the diagnostic performance of an artificial intelligence coronary-assisted diagnosis system? Comparison with invasive coronary angiography31
Application of diffusion-weighted whole-body MRI for response monitoring in multiple myeloma after chemotherapy: a systematic review and meta-analysis31
Assessment of quantitative dynamic contrast-enhanced MRI in distinguishing different histologic grades of breast phyllode tumor31
Quantification of pulmonary perfusion abnormalities using DCE-MRI in COPD: comparison with quantitative CT and pulmonary function30
Added-value of dynamic contrast-enhanced MRI on prediction of tumor recurrence in locally advanced cervical cancer treated with chemoradiotherapy30
Osteomyelitis on MR imaging as a key predictor of recurrent septic arthritis of the shoulder30
Risk-based MRI-directed diagnostic pathway outperforms non-risk-based pathways in suspected prostate cancer biopsy-naïve men: a large cohort validation study29
Systematic review and meta-analysis of percutaneous transluminal forceps biopsy for diagnosing malignant biliary strictures29
PI-QUAL v.1: the first step towards good-quality prostate MRI29
Precision of MRI radiomics features in the liver and hepatocellular carcinoma28
Impact of the COVID-19 lockdown in France on the diagnosis and staging of breast cancers in a tertiary cancer centre28
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment28
Intra-scan inter-tissue variability can help harmonize radiomics features in CT28
Correction to: Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects28
Computed tomography angiography in blunt cerebrovascular injury: navigating through perspectives and diagnostics27
Clinical indications for image-guided interventional procedures in the musculoskeletal system: a Delphi-based consensus paper from the European Society of Musculoskeletal Radiology (ESSR)—part VII, ne27
LI-RADS ancillary features favoring benignity: is there a role in LR-5 observations?27
Liver surface nodularity on non-contrast MRI identifies advanced fibrosis in patients with NAFLD27
MRI software for diffusion-perfusion mismatch analysis may impact on patients’ selection and clinical outcome26
Dual-energy CT in differentiating benign sinonasal lesions from malignant ones: comparison with simulated single-energy CT, conventional MRI, and DWI25
Serial decline in lung volume parameters on computed tomography (CT) predicts outcome in idiopathic pulmonary fibrosis (IPF)25
Clinical utility of 3D magnetic resonance elastography in patients with biliary obstruction25
Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model25
Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects25
MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma24
Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer24
A deep learning–based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation24
Risk stratification of abdominal tumors in children with amide proton transfer imaging24
Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning23
Prediction of chronic thromboembolic pulmonary hypertension with standardised evaluation of initial computed tomography pulmonary angiography performed for suspected acute pulmonary embolism23
Diagnostics of infrapatellar saphenous neuralgia—a reversible cause of chronic anteromedial pain following knee surgery23
Differentiating pulmonary metastasis from benign lung nodules in thyroid cancer patients using dual-energy CT parameters22
Visualization of wrist anatomy—a comparison between 7T and 3T MRI22
Structured reporting in radiology: a systematic review to explore its potential21
Correction to: Abdominal fellowship-trained versus generalist radiologist accuracy when interpreting MR and CT for the diagnosis of appendicitis21
Additional MRI for initial M-staging in pancreatic cancer: a cost-effectiveness analysis20
Diagnosis of Hirschsprung disease by hydrocolonic sonography in children20
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms20
Liver stiffness measurement by magnetic resonance elastography is not affected by hepatic steatosis20
Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review20
Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis19
Diagnostic performance of ultrasound attenuation imaging for assessing low-grade hepatic steatosis19
Clinical value of contrast-enhanced ultrasound enhancement patterns for differentiating solid pancreatic lesions19
Mammography self-evaluation online test for screening readers: an Italian Society of Medical Radiology (SIRM) initiative18
Longitudinal imaging history in early identification of intimate partner violence18
Is intravenous iodinated contrast medium administration really harmful in hospitalized acute kidney injury patients: a propensity score–matched study17
“Million dollar nerve” magnetic resonance neurography: first normal and pathological findings17
Editorial comment: Prognostic value of diffusion-weighted imaging in patients with newly diagnosed sporadic Creutzfeldt-Jakob disease17
Correction to: Differentiating total from subtotal arterial occlusion in lower extremities by using reverse attenuation gradient sign in CT angiography17
Dedicated breast CT: state of the art—Part II. Clinical application and future outlook17
Diagnostic accuracy of color-coded virtual noncalcium reconstructions derived from portal venous phase dual-energy CT in the assessment of lumbar disk herniation16
Estimation of pancreatic fibrosis and prediction of postoperative pancreatic fistula using extracellular volume fraction in multiphasic contrast-enhanced CT16
MR lung perfusion measurements in adolescents after congenital diaphragmatic hernia: correlation with spirometric lung function tests16
Preoperative percutaneous needle lung biopsy techniques and ipsilateral pleural recurrence in stage I lung cancer16
Structured and shared CT radiological report of gastric cancer: a consensus proposal by the Italian Research Group for Gastric Cancer (GIRCG) and the Italian Society of Medical and Interventional Radi16
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients15
Differentiation between small (< 4.5 cm) true subepithelial tumors and ectopic pancreas in the small bowel on computed tomography enterography15
Structured reporting in neuro-oncological imaging: achieving reliable prediction of molecular subtypes in glioma based on pre-treatment multi-sequence MRI15
Reliability of pediatric ventricular function analysis by short-axis “single-cycle-stack-advance” single-shot compressed-sensing cines in minimal breath-hold time14
Automated Stanford classification of aortic dissection using a 2-step hierarchical neural network at computed tomography angiography14
Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms14
Clinical outcomes of radiofrequency ablation for multifocal papillary thyroid microcarcinoma versus unifocal papillary thyroid microcarcinoma: a propensity-matched cohort study14
Influence of safety glasses, body height and magnification on the occupational eye lens dose during pelvic vascular interventions: a phantom study14
COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes?14
Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagno14
Correction to: Dedicated breast CT: state of the art—Part II. Clinical application and future outlook14
What level of D-dimers can safely exclude pulmonary embolism in COVID-19 patients presenting to the emergency department?13
Pre-treatment MRI tumor features and post-treatment mammographic findings: may they contribute to refining the prediction of pathologic complete response in post-neoadjuvant breast cancer patients wit13
Digital breast tomosynthesis (DBT) plus synthesised two-dimensional mammography (s2D) in breast cancer screening is associated with higher cancer detection and lower recalls compared to digital mammog13
Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements13
Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review13
Deep convolutional neural network for preoperative prediction of microvascular invasion and clinical outcomes in patients with HCCs13
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