European Radiology

Article	Citations
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)	505
Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis	473
COVID-19 patients and the radiology department – advice from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI)	259
The role of imaging in 2019 novel coronavirus pneumonia (COVID-19)	185
ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists’ trainin	182
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence	177
CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients	149
Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives	138
A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images	133
Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy	131
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors	124
The sensitivity and specificity of chest CT in the diagnosis of COVID-19	116
CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city	114
Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform	111
Coronavirus disease 2019 (COVID-19) imaging reporting and data system (COVID-RADS) and common lexicon: a proposal based on the imaging data of 37 studies	104
Multi-scale and multi-parametric radiomics of gadoxetate disodium–enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm	102
A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study	93
How can we combat multicenter variability in MR radiomics? Validation of a correction procedure	93
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)	88
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude	87
Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation	85
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis	82
Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms	82
Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients	81
Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department	80

Acute pulmonary embolism in non-hospitalized COVID-19 patients referred to CTPA by emergency department	79
CT features of novel coronavirus pneumonia (COVID-19) in children	78
From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans	77
Characteristic CT findings distinguishing 2019 novel coronavirus disease (COVID-19) from influenza pneumonia	75
Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China	75
Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics	75
A decade of radiomics research: are images really data or just patterns in the noise?	74
Utility of sonoelastography for the evaluation of rotator cuff tendon and pertinent disorders: a systematic review and meta-analysis	71
CT iterative vs deep learning reconstruction: comparison of noise and sharpness	71
COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia	71
Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning	70
Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm	69
Identifying normal mammograms in a large screening population using artificial intelligence	69
Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses	67
Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvan	67
Staging, recurrence and follow-up of uterine cervical cancer using MRI: Updated Guidelines of the European Society of Urogenital Radiology after revised FIGO staging 2018	66
Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and cholangiocarcinoma to inform optimal treatment plan	66
Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis	65
Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers	64
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network	62
Baseline 18F-FDG PET radiomic features as predictors of 2-year event-free survival in diffuse large B cell lymphomas treated with immunochemotherapy	62
Use of Vesical Imaging-Reporting and Data System (VI-RADS) for detecting the muscle invasion of bladder cancer: a diagnostic meta-analysis	62
Automated quantification of COVID-19 severity and progression using chest CT images	61
Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE	61
Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI	60
Chest CT practice and protocols for COVID-19 from radiation dose management perspective	58
Pancreas image mining: a systematic review of radiomics	58
Long-term outcomes of radiofrequency ablation for unifocal low-risk papillary thyroid microcarcinoma: a large cohort study of 414 patients	57
Preoperative sarcopenia is associated with poor overall survival in pancreatic cancer patients following pancreaticoduodenectomy	55
Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI	55
Prediction of tumor response via a pretreatment MRI radiomics-based nomogram in HCC treated with TACE	55
Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients	54
Interpretation of CT signs of 2019 novel coronavirus (COVID-19) pneumonia	54
The Lisbon Agreement on Femoroacetabular Impingement Imaging—part 1: overview	54
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study	53
Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks	53
Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers	52
Association of “initial CT” findings with mortality in older patients with coronavirus disease 2019 (COVID-19)	52
Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study	52
Volumetric assessment of the periablational safety margin after thermal ablation of colorectal liver metastases	52
Applications of artificial intelligence (AI) in diagnostic radiology: a technography study	51
Which role for chest x-ray score in predicting the outcome in COVID-19 pneumonia?	51
COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings	50
Evolution of CT findings in patients with mild COVID-19 pneumonia	49
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA	49
Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks	48
Outcome prediction of head and neck squamous cell carcinoma by MRI radiomic signatures	48
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers	48
A systematic review of radiomics in osteosarcoma: utilizing radiomics quality score as a tool promoting clinical translation	47
Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics	47

Radiomics signature of brain metastasis: prediction of EGFR mutation status	47
Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge	47
Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study	46
Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer	46
Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics	46
Identification of high-risk carotid plaque with MRI-based radiomics and machine learning	46
Radiomics nomogram for the prediction of 2019 novel coronavirus pneumonia caused by SARS-CoV-2	44
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance	44
Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion	44
Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia	44
Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institution	44
A predictive model and scoring system combining clinical and CT characteristics for the diagnosis of COVID-19	43
Prospective comparison of the diagnostic accuracy of 18F-FDG PET/MRI, MRI, CT, and bone scintigraphy for the detection of bone metastases in the initial staging of primary breast cancer patients	43
Can artificial intelligence reduce the interval cancer rate in mammography screening?	43
An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education	43
Radiomics-based prediction model for outcomes of PD-1/PD-L1 immunotherapy in metastatic urothelial carcinoma	43
Diagnostic performance of conventional and advanced imaging modalities for assessing newly diagnosed cervical cancer: systematic review and meta-analysis	42
Differentiation of renal cell carcinoma subtypes through MRI-based radiomics analysis	42
Pulmonary embolism in patients with COVID-19 and value of D-dimer assessment: a meta-analysis	42
Percutaneous microwave ablation of bone tumors: a systematic review	42
Gadoxetate-enhanced abbreviated MRI is highly accurate for hepatocellular carcinoma screening	42
Lung and kidney perfusion deficits diagnosed by dual-energy computed tomography in patients with COVID-19-related systemic microangiopathy	42
Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer	42
CT-based radiomics to predict the pathological grade of bladder cancer	41
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data	41
Acute adrenal infarction as an incidental CT finding and a potential prognosis factor in severe SARS-CoV-2 infection: a retrospective cohort analysis on 219 patients	41
MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study	40
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions	40
Current status and quality of radiomics studies in lymphoma: a systematic review	40
Clinical characteristics and chest CT imaging features of critically ill COVID-19 patients	40
Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review	40
MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance	40
The validity, reliability, and reviewer acceptance of VI-RADS in assessing muscle invasion by bladder cancer: a multicenter prospective study	40
Dynamic evolution of COVID-19 on chest computed tomography: experience from Jiangsu Province of China	39
MRI-Based radiomics nomogram for differentiation of benign and malignant lesions of the parotid gland	39
Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow	39
Comparison of the computed tomography findings in COVID-19 and other viral pneumonia in immunocompetent adults: a systematic review and meta-analysis	39
Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma	39
Shape and texture-based radiomics signature on CT effectively discriminates benign from malignant renal masses	39
Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology	39
Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms	38
Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study	38
Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohort	38
COVID-19 classification of X-ray images using deep neural networks	38
Imaging assessment of children presenting with suspected or known juvenile idiopathic arthritis: ESSR-ESPR points to consider	38
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study	38
Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer	38
Prediction of HCC microvascular invasion with gadobenate-enhanced MRI: correlation with pathology	38
Chest CT–derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy	38
Improved coronary calcification quantification using photon-counting-detector CT: an ex vivo study in cadaveric specimens	37
Deep learning–based metal artefact reduction in PET/CT imaging	37
Diagnostic accuracy of spleen stiffness to evaluate portal hypertension and esophageal varices in chronic liver disease: a systematic review and meta-analysis	37
Diagnosis of left atrial appendage thrombus in patients with atrial fibrillation: delayed contrast-enhanced cardiac CT	37
Prevention and control measures in radiology department for COVID-19	37
Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer	36
Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy	36
MR imaging of epithelial ovarian cancer: a combined model to predict histologic subtypes	36
Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients	36
CT-like images based on T1 spoiled gradient-echo and ultra-short echo time MRI sequences for the assessment of vertebral fractures and degenerative bone changes of the spine	36
CT diagnostic reference levels based on clinical indications: results of a large-scale European survey	36
Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study	36
Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network	36
Comparison of chest CT findings between COVID-19 pneumonia and other types of viral pneumonia: a two-center retrospective study	36
Towards reference values of pericoronary adipose tissue attenuation: impact of coronary artery and tube voltage in coronary computed tomography angiography	36
Intimate partner violence crisis in the COVID-19 pandemic: how can radiologists make a difference?	36
Unnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysis	35
Imaging alternatives to colonoscopy: CT colonography and colon capsule. European Society of Gastrointestinal Endoscopy (ESGE) and European Society of Gastrointestinal and Abdominal Radiology (ESGAR) G	35
Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas	35
T1 mapping and cardiac magnetic resonance feature tracking in mitral valve prolapse	35
The Kaiser score reliably excludes malignancy in benign contrast-enhancing lesions classified as BI-RADS 4 on breast MRI high-risk screening exams	35
Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver	35
Early detection of ovarian cancer	35
Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI	35
MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study	35
ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging	35
CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma	35
Prospective performance of clear cell likelihood scores (ccLS) in renal masses evaluated with multiparametric magnetic resonance imaging	35
Deep learning in interstitial lung disease—how long until daily practice	35
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation	34
Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT	34

Deep learning in breast radiology: current progress and future directions	34
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset	34
Coronary calcium scoring potential of large field-of-view spectral photon-counting CT: a phantom study	34
COVID-19 pneumonia imaging follow-up: when and how? A proposition from ESTI and ESR	34
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging	34
Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema	33
[18F]FDG uptake of axillary lymph nodes after COVID-19 vaccination in oncological PET/CT: frequency, intensity, and potential clinical impact	33
Multiparametric functional MRI and 18F-FDG-PET for survival prediction in patients with head and neck squamous cell carcinoma treated with (chemo)radiation	33
4D flow MRI applications in congenital heart disease	33
Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction	33
Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis	32
Bladder cancer: do we need contrast injection for MRI assessment of muscle invasion? A prospective multi-reader VI-RADS approach	32
Radiomics derived from dynamic contrast-enhanced MRI pharmacokinetic protocol features: the value of precision diagnosis ovarian neoplasms	32
Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques	32
A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer	32
MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer	32
Hypoxia and perfusion in breast cancer: simultaneous assessment using PET/MR imaging	32
Any unique image biomarkers associated with COVID-19?	32
Inter-reader agreement of the PI-QUAL score for prostate MRI quality in the NeuroSAFE PROOF trial	32
Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers	31
Quantitative evaluation of passive muscle stiffness by shear wave elastography in healthy individuals of different ages	31
Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging	31
Radiofrequency ablation versus repeat resection for recurrent hepatocellular carcinoma (≤ 5 cm) after initial curative resection	31
Impact of coronavirus disease 2019 (COVID-19) emergency on Italian radiologists: a national survey	31
Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma	31
Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features	31
MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer	31
Five-year follow-up results of thermal ablation for low-risk papillary thyroid microcarcinomas: systematic review and meta-analysis	31
Diagnostic accuracy and interobserver variability of CO-RADS in patients with suspected coronavirus disease-2019: a multireader validation study	31
Combined hepatocellular-cholangiocarcinoma: which preoperative clinical data and conventional MRI characteristics have value for the prediction of microvascular invasion and clinical significance?	31
A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma	31
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms	30
Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study	30
Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning	30
Improvement of late gadolinium enhancement image quality using a deep learning–based reconstruction algorithm and its influence on myocardial scar quantification	30
MRI-based radiomics signature for localized prostate cancer: a new clinical tool for cancer aggressiveness prediction? Sub-study of prospective phase II trial on ultra-hypofractionated radiotherapy (A	30
Intramesenteric dynamic contrast pediatric MR lymphangiography: initial experience and comparison with intranodal and intrahepatic MR lymphangiography	30
Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage	30
Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning	30
How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts	30
CT and COVID-19: Chinese experience and recommendations concerning detection, staging and follow-up	30
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment	30
Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?	29
Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT	29
The combination of hepatobiliary phase with Gd-EOB-DTPA and DWI is highly accurate for the detection and characterization of liver metastases from neuroendocrine tumor	29
3D cephalometry on reduced FOV CBCT: skeletal class assessment through AF-BF on Frankfurt plane—validity and reliability through comparison with 2D measurements	29
Application of the amide proton transfer-weighted imaging and diffusion kurtosis imaging in the study of cervical cancer	29
Diagnostic accuracy of CT pulmonary angiography in suspected pulmonary hypertension	29
Validation of the revised 2018 AAST-OIS classification and the CT severity index for prediction of operative management and survival in patients with blunt spleen and liver injuries	29
Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system	29
Small single perivascular hepatocellular carcinoma: comparisons of radiofrequency ablation and microwave ablation by using propensity score analysis	29
Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning–based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-we	29
Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas	29
Prognostic value of myocardial extracellular volume fraction evaluation based on cardiac magnetic resonance T1 mapping with T1 long and short in hypertrophic cardiomyopathy	29
Magnetic resonance imaging before breast cancer surgery: results of an observational multicenter international prospective analysis (MIPA)	29
Myocardial injury detected by T1 and T2 mapping on CMR predicts subsequent cancer therapy–related cardiac dysfunction in patients with breast cancer treated by epirubicin-based chemotherapy or left-si	29
Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma	29
An MRI-based radiomics signature as a pretreatment noninvasive predictor of overall survival and chemotherapeutic benefits in lower-grade gliomas	29
Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique	28
Clinical utility of the Vesical Imaging-Reporting and Data System for muscle-invasive bladder cancer between radiologists and urologists based on multiparametric MRI including 3D FSE T2-weighted acqui	28
CT-determined resectability of borderline resectable and unresectable pancreatic adenocarcinoma following FOLFIRINOX therapy	28
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets	28
Overall survival and local recurrence following RFA, MWA, and cryoablation of very early and early HCC: a systematic review and Bayesian network meta-analysis	28
The use of imaging in COVID-19—results of a global survey by the International Society of Radiology	28
A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis	28
Radiomics model based on shear-wave elastography in the assessment of axillary lymph node status in early-stage breast cancer	28
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques	28
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance	28
Use of dental MRI for radiation-free guided dental implant planning: a prospective, in vivo study of accuracy and reliability	28
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, diagno	27
Quantitation of bladder cancer for the prediction of muscle layer invasion as a complement to the vesical imaging-reporting and data system	27
Cumulative effective dose from recurrent CT examinations in Europe: proposal for clinical guidance based on an ESR EuroSafe Imaging survey	27
Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals	27
ESGAR consensus statement on the imaging of fistula-in-ano and other causes of anal sepsis	27
Development and validation of an 18F-FDG PET radiomic model for prognosis prediction in patients with nasal-type extranodal natural killer/T cell lymphoma	27
Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting	27
Preoperative prediction of postsurgical outcomes in mass-forming intrahepatic cholangiocarcinoma based on clinical, radiologic, and radiomics features	27
Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography	27
Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study	27
Automatic detection and classification of rib fractures based on patients’ CT images and clinical information via convolutional neural network	27
Comparison between neuroendocrine carcinomas and well-differentiated neuroendocrine tumors of the pancreas using dynamic enhanced CT	27
Efficacy and safety of prostatic artery embolization for benign prostatic hyperplasia: a systematic review and meta-analysis of randomized controlled trials	27
Efficacy and safety of thermal ablation for autonomously functioning thyroid nodules: a systematic review and meta-analysis	26
Distinguishing pancreatic cancer and autoimmune pancreatitis with in vivo tomoelastography	26
Gd-EOB-DTPA-enhanced MRI radiomics to predict vessels encapsulating tumor clusters (VETC) and patient prognosis in hepatocellular carcinoma	26
Prognostic relevance of temporal muscle thickness as a marker of sarcopenia in patients with glioblastoma at diagnosis	26
A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening	26
Diagnostic value of ultrasonography in acute lateral and syndesmotic ligamentous ankle injuries	26
Accuracy of CT in a cohort of symptomatic patients with suspected COVID-19 pneumonia during the outbreak peak in Italy	26
Training opportunities of artificial intelligence (AI) in radiology: a systematic review	26
Structured reporting in radiology: a systematic review to explore its potential	26
Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software	26
Clinical and radiological changes of hospitalised patients with COVID-19 pneumonia from disease onset to acute exacerbation: a multicentre paired cohort study	26
Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI	26
Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status	26