European Radiology

Papers
(The median citation count of European Radiology is 12. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility90
Correction to: Prediction for pathological and immunohistochemical characteristics of triple‑negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonogr88
Diagnostic accuracy of computed tomography angiography (CTA) for diagnosing blunt cerebrovascular injury in trauma patients: a systematic review and meta-analysis84
The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms79
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery73
Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm)68
Editorial Comment: Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas67
Diagnostic performance of the medial temporal lobe atrophy scale in patients with Alzheimer’s disease: a systematic review and meta-analysis65
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) Gr52
Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas48
Spatial distribution of cerebral microbleeds reveals heterogeneous pathogenesis in CADASIL47
Transcholecystic management of extrahepatic duct stones in poor candidates for endoscopic or transhepatic approaches45
CT-derived fractional flow reserve (FFRct) for functional coronary artery evaluation in the follow-up of patients after heart transplantation44
Correction to: Intra-scan inter-tissue variability can help harmonize radiomics features in CT43
Prediction of recurrence after surgery based on preoperative MRI features in patients with pancreatic neuroendocrine tumors43
Editorial comment on “Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms”42
Difference in the joint space of the medial knee compartment between full extension and Rosenberg weight-bearing radiographs40
Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes39
Development and validation of visual grading system for stenosis in intracranial atherosclerotic disease on time-of-flight magnetic resonance angiography38
Artificial intelligence for stepwise diagnosis and monitoring of COVID-1938
Comparison of low-contrast detectability between uniform and anatomically realistic phantoms—influences on CT image quality assessment35
Dual-energy CT may predict post-operative recurrence in early-stage glottic laryngeal cancer: a novel nomogram and risk stratification system35
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study34
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography34
Diffusion kurtosis imaging and dynamic contrast-enhanced MRI for the differentiation of parotid gland tumors33
Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study33
Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI33
Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study33
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis33
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
Application of diffusion-weighted whole-body MRI for response monitoring in multiple myeloma after chemotherapy: a systematic review and meta-analysis32
Do plaque-related factors affect the diagnostic performance of an artificial intelligence coronary-assisted diagnosis system? Comparison with invasive coronary angiography32
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
PI-QUAL v.1: the first step towards good-quality prostate MRI29
Impact of the COVID-19 lockdown in France on the diagnosis and staging of breast cancers in a tertiary cancer centre29
Systematic review and meta-analysis of percutaneous transluminal forceps biopsy for diagnosing malignant biliary strictures29
Added-value of dynamic contrast-enhanced MRI on prediction of tumor recurrence in locally advanced cervical cancer treated with chemoradiotherapy28
Osteomyelitis on MR imaging as a key predictor of recurrent septic arthritis of the shoulder28
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment28
Risk-based MRI-directed diagnostic pathway outperforms non-risk-based pathways in suspected prostate cancer biopsy-naïve men: a large cohort validation study28
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
Liver surface nodularity on non-contrast MRI identifies advanced fibrosis in patients with NAFLD27
Precision of MRI radiomics features in the liver and hepatocellular carcinoma27
LI-RADS ancillary features favoring benignity: is there a role in LR-5 observations?25
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, ne25
Serial decline in lung volume parameters on computed tomography (CT) predicts outcome in idiopathic pulmonary fibrosis (IPF)24
Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model24
Clinical utility of 3D magnetic resonance elastography in patients with biliary obstruction24
Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer23
Risk stratification of abdominal tumors in children with amide proton transfer imaging23
A deep learning–based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation23
Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning22
Differentiating pulmonary metastasis from benign lung nodules in thyroid cancer patients using dual-energy CT parameters22
Prediction of chronic thromboembolic pulmonary hypertension with standardised evaluation of initial computed tomography pulmonary angiography performed for suspected acute pulmonary embolism22
Diagnosis of Hirschsprung disease by hydrocolonic sonography in children21
Structured reporting in radiology: a systematic review to explore its potential19
Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review19
Additional MRI for initial M-staging in pancreatic cancer: a cost-effectiveness analysis18
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms18
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 analysis17
Mammography self-evaluation online test for screening readers: an Italian Society of Medical Radiology (SIRM) initiative17
Diagnostic performance of ultrasound attenuation imaging for assessing low-grade hepatic steatosis17
Clinical value of contrast-enhanced ultrasound enhancement patterns for differentiating solid pancreatic lesions17
Correction to: Differentiating total from subtotal arterial occlusion in lower extremities by using reverse attenuation gradient sign in CT angiography16
Dedicated breast CT: state of the art—Part II. Clinical application and future outlook16
Editorial comment: Prognostic value of diffusion-weighted imaging in patients with newly diagnosed sporadic Creutzfeldt-Jakob disease16
Longitudinal imaging history in early identification of intimate partner violence16
Estimation of pancreatic fibrosis and prediction of postoperative pancreatic fistula using extracellular volume fraction in multiphasic contrast-enhanced CT15
Preoperative percutaneous needle lung biopsy techniques and ipsilateral pleural recurrence in stage I lung cancer15
MR lung perfusion measurements in adolescents after congenital diaphragmatic hernia: correlation with spirometric lung function tests14
Correction to: Dedicated breast CT: state of the art—Part II. Clinical application and future outlook14
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients14
Differentiation between small (< 4.5 cm) true subepithelial tumors and ectopic pancreas in the small bowel on computed tomography enterography14
Diagnostic accuracy of color-coded virtual noncalcium reconstructions derived from portal venous phase dual-energy CT in the assessment of lumbar disk herniation14
Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms14
Reliability of pediatric ventricular function analysis by short-axis “single-cycle-stack-advance” single-shot compressed-sensing cines in minimal breath-hold time13
Influence of safety glasses, body height and magnification on the occupational eye lens dose during pelvic vascular interventions: a phantom study13
Automated Stanford classification of aortic dissection using a 2-step hierarchical neural network at computed tomography angiography13
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, diagno13
A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis12
What level of D-dimers can safely exclude pulmonary embolism in COVID-19 patients presenting to the emergency department?12
COVID-19 in patients with cancer: can baseline radiologic severity and early evolution predict clinical outcomes?12
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 wit12
Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements12
Predictive value of gadoxetic acid–enhanced MRI for posthepatectomy liver failure: a systematic review12
0.22670698165894