European Radiology

Article	Citations
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)	537
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence	228
Multi-scale and multi-parametric radiomics of gadoxetate disodium–enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm	121
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude	109
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)	102
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	84
Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI	72
Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning	72
Prediction of tumor response via a pretreatment MRI radiomics-based nomogram in HCC treated with TACE	71
Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer	67
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study	66
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	65
Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge	62
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	61
Pancreas image mining: a systematic review of radiomics	60
Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review	59
Volumetric assessment of the periablational safety margin after thermal ablation of colorectal liver metastases	59
Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics	59
An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education	56
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA	55
Which role for chest x-ray score in predicting the outcome in COVID-19 pneumonia?	51
MRI-Based radiomics nomogram for differentiation of benign and malignant lesions of the parotid gland	51
Radiomics signature of brain metastasis: prediction of EGFR mutation status	50
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions	50
Can artificial intelligence reduce the interval cancer rate in mammography screening?	50

Percutaneous microwave ablation of bone tumors: a systematic review	49
Pulmonary embolism in patients with COVID-19 and value of D-dimer assessment: a meta-analysis	47
MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance	47
Deep learning–based metal artefact reduction in PET/CT imaging	47
Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy	47
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	47
Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study	47
CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma	47
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study	46
Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer	45
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data	45
Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma	45
COVID-19 classification of X-ray images using deep neural networks	44
Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer	44
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms	44
Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms	44
MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study	44
CT diagnostic reference levels based on clinical indications: results of a large-scale European survey	43
Structured reporting in radiology: a systematic review to explore its potential	43
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	43
Coronary calcium scoring potential of large field-of-view spectral photon-counting CT: a phantom study	42
Gd-EOB-DTPA-enhanced MRI radiomics to predict vessels encapsulating tumor clusters (VETC) and patient prognosis in hepatocellular carcinoma	42
MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study	42
The validity, reliability, and reviewer acceptance of VI-RADS in assessing muscle invasion by bladder cancer: a multicenter prospective study	42
Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema	42
ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging	41
Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage	41
Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver	41
Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis	41
Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI	41
Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques	40
MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer	40
Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT	40
Chest CT–derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy	40
Deep learning in breast radiology: current progress and future directions	39
Overall survival and local recurrence following RFA, MWA, and cryoablation of very early and early HCC: a systematic review and Bayesian network meta-analysis	39
Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction	39
Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning	39
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset	39
[18F]FDG uptake of axillary lymph nodes after COVID-19 vaccination in oncological PET/CT: frequency, intensity, and potential clinical impact	38
A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma	38
Inter-reader agreement of the PI-QUAL score for prostate MRI quality in the NeuroSAFE PROOF trial	38
Radiomics model based on shear-wave elastography in the assessment of axillary lymph node status in early-stage breast cancer	38
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation	38
Improved coronary calcification quantification using photon-counting-detector CT: an ex vivo study in cadaveric specimens	38
COVID-19 pneumonia imaging follow-up: when and how? A proposition from ESTI and ESR	38
Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning	37
Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography	37
Improvement of late gadolinium enhancement image quality using a deep learning–based reconstruction algorithm and its influence on myocardial scar quantification	37
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	37

Bladder cancer: do we need contrast injection for MRI assessment of muscle invasion? A prospective multi-reader VI-RADS approach	37
Reporting standards for primary sclerosing cholangitis using MRI and MR cholangiopancreatography: guidelines from MR Working Group of the International Primary Sclerosing Cholangitis Study Group	36
Five-year follow-up results of thermal ablation for low-risk papillary thyroid microcarcinomas: systematic review and meta-analysis	36
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	36
Magnetic resonance imaging before breast cancer surgery: results of an observational multicenter international prospective analysis (MIPA)	36
A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis	36
Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma	35
A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening	35
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques	35
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment	35
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance	34
Prognostic value of myocardial extracellular volume fraction evaluation based on cardiac magnetic resonance T1 mapping with T1 long and short in hypertrophic cardiomyopathy	34
Training opportunities of artificial intelligence (AI) in radiology: a systematic review	34
An MRI-based radiomics signature as a pretreatment noninvasive predictor of overall survival and chemotherapeutic benefits in lower-grade gliomas	34
Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study	33
Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system	33
Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting	33
Cumulative effective dose from recurrent CT examinations in Europe: proposal for clinical guidance based on an ESR EuroSafe Imaging survey	33
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	33
Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software	33
The T2-FLAIR mismatch sign as a predictor of IDH-mutant, 1p/19q-noncodeleted lower-grade gliomas: a systematic review and diagnostic meta-analysis	33
Efficacy and safety of prostatic artery embolization for benign prostatic hyperplasia: a systematic review and meta-analysis of randomized controlled trials	32
Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging	32
Automatic detection and classification of rib fractures based on patients’ CT images and clinical information via convolutional neural network	32
Preoperative prediction of postsurgical outcomes in mass-forming intrahepatic cholangiocarcinoma based on clinical, radiologic, and radiomics features	31
Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI	31
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	31
Skeletal muscle mass and sarcopenia can be determined with 1.5-T and 3-T neck MRI scans, in the event that no neck CT scan is performed	31
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study	31
Small single perivascular hepatocellular carcinoma: comparisons of radiofrequency ablation and microwave ablation by using propensity score analysis	31
Bi- or multiparametric MRI in a sequential screening program for prostate cancer with PSA followed by MRI? Results from the Göteborg prostate cancer screening 2 trial	30
Clinical outcomes of radiofrequency ablation for multifocal papillary thyroid microcarcinoma versus unifocal papillary thyroid microcarcinoma: a propensity-matched cohort study	30
Calcium scoring using virtual non-contrast images from a dual-layer spectral detector CT: comparison to true non-contrast data and evaluation of proportionality factor in a large patient collective	30
Survival outcomes for surgical resection versus CT-guided percutaneous ablation for stage I non-small cell lung cancer (NSCLC): a systematic review and meta-analysis	30
A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer	30
A clinical-radiomics nomogram may provide a personalized 90-day functional outcome assessment for spontaneous intracerebral hemorrhage	30
Radiologic-pathologic correlation of interstitial lung abnormalities and predictors for progression and survival	29
Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration	29
Dedicated breast CT: state of the art—Part II. Clinical application and future outlook	29
Diagnostic performance of adult-based ATA and ACR-TIRADS ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis	29
A deep-learning model for identifying fresh vertebral compression fractures on digital radiography	28
Comparison of image quality between spectral photon-counting CT and dual-layer CT for the evaluation of lung nodules: a phantom study	28
Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer	28
Prognostic relevance of temporal muscle thickness as a marker of sarcopenia in patients with glioblastoma at diagnosis	28
Feasibility and reproducibility of T2 mapping and DWI for identifying malignant lymph nodes in rectal cancer	28
A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients	28
O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort	28
Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model	28
Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT	28
Bosniak Classification version 2019: validation and comparison to original classification in pathologically confirmed cystic masses	28
MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma	28
Interdisciplinary consensus statements on imaging of scapholunate joint instability	28
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network	28
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 mammog	28
A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial bone	27
Determining an energy threshold for optimal volume reduction of benign thyroid nodules treated by radiofrequency ablation	27
Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and autoimmune pancreatitis	27
Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status	27
MRI grading for the prediction of prostate cancer aggressiveness	27
Glioblastoma post-operative imaging in neuro-oncology: current UK practice (GIN CUP study)	27
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images	27
Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC	27
Pelvic bone CT: can tin-filtered ultra-low-dose CT and virtual radiographs be used as alternative for standard CT and digital radiographs?	27
Precision of MRI radiomics features in the liver and hepatocellular carcinoma	27
Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors	27
Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations	27
Late recurrence of hepatocellular carcinoma after radiofrequency ablation: a multicenter study of risk factors, patterns, and survival	27
Assessment of tumor depth in oral tongue squamous cell carcinoma with multiparametric MRI: correlation with pathology	26
Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer	26
High-intensity focused ultrasound (HIFU) ablation versus surgical interventions for the treatment of symptomatic uterine fibroids: a meta-analysis	26
Efficacy and safety of irreversible electroporation for malignant liver tumors: a systematic review and meta-analysis	26
One step further into the blackbox: a pilot study of how to build more confidence around an AI-based decision system of breast nodule assessment in 2D ultrasound	26
Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase	26
Reduced-iodine-dose dual-energy coronary CT angiography: qualitative and quantitative comparison between virtual monochromatic and polychromatic CT images	26
Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using contrast-enhanced computed tomography	26
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography	25
Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging	25
Real-life assessment of standardized contrast-enhanced ultrasound (CEUS) and CEUS algorithms (CEUS LI-RADS®/ESCULAP) in hepatic nodules in cirrhotic patients—a prospective multicenter study	25
Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation	25
Identifying Parkinson’s disease with mild cognitive impairment by using combined MR imaging and electroencephalogram	25

Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable pancreatic cancer	25
Prediction of chronic thromboembolic pulmonary hypertension with standardised evaluation of initial computed tomography pulmonary angiography performed for suspected acute pulmonary embolism	25
Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning	25
Performance of PET imaging for the localization of epileptogenic zone in patients with epilepsy: a meta-analysis	25
Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram	25
Deep learning to automate the labelling of head MRI datasets for computer vision applications	25
Macrotrabecular-massive hepatocellular carcinoma: imaging identification and prediction based on gadoxetic acid–enhanced magnetic resonance imaging	24
Non-contrast MRI can accurately characterize adnexal masses: a retrospective study	24
Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients—a radiomics nomogram analysis	24
Performance of four dual-energy CT platforms for abdominal imaging: a task-based image quality assessment based on phantom data	24
Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects	24
Predictors of failed enema reduction in children with intussusception: a systematic review and meta-analysis	24
Deep learning model for predicting gestational age after the first trimester using fetal MRI	24
Improving quality of life in pancreatic cancer patients following high-intensity focused ultrasound (HIFU) in two European centers	24
Focal pericoronary adipose tissue attenuation is related to plaque presence, plaque type, and stenosis severity in coronary CTA	24
Feasibility of T2WI-MRI-based radiomics nomogram for predicting normal-sized pelvic lymph node metastasis in cervical cancer patients	24
Immune checkpoint inhibitor therapy may increase the incidence of treatment-related necrosis after stereotactic radiosurgery for brain metastases: a systematic review and meta-analysis	24
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery	24
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility	24
Artificial intelligence for stepwise diagnosis and monitoring of COVID-19	24
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis	23
Addition of HER2 and CD44 to 18F-FDG PET–based clinico-radiomic models enhances prediction of neoadjuvant chemoradiotherapy response in esophageal cancer	23
Impact of the COVID-19 lockdown in France on the diagnosis and staging of breast cancers in a tertiary cancer centre	23
Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data	23
Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study	23
A 2-year investigation of the impact of the computed tomography–derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease manage	23
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients	23
Comparative diagnostic performance of ultrasound shear wave elastography and magnetic resonance elastography for classifying fibrosis stage in adults with biopsy-proven nonalcoholic fatty liver diseas	23
Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT	23
Ultrasound-guided targeted biopsies of CT-based radiomic tumour habitats: technical development and initial experience in metastatic ovarian cancer	23
CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy	23
Combined hepatocellular carcinoma-cholangiocarcinoma: MRI features correlated with tumor biomarkers and prognosis	23
Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning	23
Deep learning–based methods may minimize GBCA dosage in brain MRI	23
Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades	22
Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes	22
Quantification of pulmonary perfusion abnormalities using DCE-MRI in COPD: comparison with quantitative CT and pulmonary function	22
What level of D-dimers can safely exclude pulmonary embolism in COVID-19 patients presenting to the emergency department?	22
Intrahepatic cholangiocarcinoma: MRI texture signature as predictive biomarkers of immunophenotyping and survival	22
The influence of digital PET/CT on diagnostic certainty and interrater reliability in [68Ga]Ga-PSMA-11 PET/CT for recurrent prostate cancer	22
Hepatospecific MR contrast agent uptake on hepatobiliary phase can be used as a biomarker of marked β-catenin activation in hepatocellular adenoma	22
A deep learning–machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors	22
PET-CT radiomics by integrating primary tumor and peritumoral areas predicts E-cadherin expression and correlates with pelvic lymph node metastasis in early-stage cervical cancer	22
The Lisbon Agreement on femoroacetabular impingement imaging—part 2: general issues, parameters, and reporting	22
Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer	22
Visual lung damage CT score at hospital admission of COVID-19 patients and 30-day mortality	22
Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas	21
An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies	21
CT imaging-based approaches to cochlear duct length estimation—a human temporal bone study	21
Diagnostic reference levels and median doses for common clinical indications of CT: findings from an international registry	21
Prognostic value of tumoral and peritumoral magnetic resonance parameters in osteosarcoma patients for monitoring chemotherapy response	21
Assessment of morphological CT imaging features for the prediction of risk stratification, mutations, and prognosis of gastrointestinal stromal tumors	21
Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma	21
Intra-tumoural lipid composition and lymphovascular invasion in breast cancer via non-invasive magnetic resonance spectroscopy	21
An integrated AI model to improve diagnostic accuracy of ultrasound and output known risk features in suspicious thyroid nodules	21
Nomogram development and validation to predict hepatocellular carcinoma tumor behavior by preoperative gadoxetic acid-enhanced MRI	21
AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set size	21
How to improve image quality of DWI of the prostate—enema or catheter preparation?	21
From research to clinical practice: a European neuroradiological survey on quantitative advanced MRI implementation	21
Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging	21
Breast density, benign breast disease, and risk of breast cancer over time	21
Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways	20
MRI features of the normal prostatic peripheral zone: the relationship between age and signal heterogeneity on T2WI, DWI, and DCE sequences	20
A multifaceted approach to quality in the MRI-directed biopsy pathway for prostate cancer diagnosis	20
Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM)	20
Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study	20
Comprehensive comparison of dual-energy computed tomography and magnetic resonance imaging for the assessment of bone marrow edema and fracture lines in acute vertebral fractures	20
Upper extremity injuries in the victims of intimate partner violence	20
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort	20
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 VI, foo	20
Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions	20
Diagnostic performance and interobserver agreement of the callosal angle and Evans’ index in idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis	20
Predictors of pneumothorax and chest drainage after percutaneous CT-guided lung biopsy: A prospective study	20
3D Dixon water-fat LGE imaging with image navigator and compressed sensing in cardiac MRI	20
Rectal cancer with complete endoscopic response after neoadjuvant therapy: what is the meaning of a positive MRI?	20
Radiomics analysis allows for precise prediction of silent corticotroph adenoma among non-functioning pituitary adenomas	19
Quantitative tumor heterogeneity MRI profiling improves machine learning–based prognostication in patients with metastatic colon cancer	19
Dual-energy CT performance in acute pulmonary embolism: a meta-analysis	19
Machine learning with multiparametric breast MRI for prediction of Ki-67 and histologic grade in early-stage luminal breast cancer	19
T1 mapping of the liver and the spleen in patients with liver fibrosis—does normalization to the blood pool increase the predictive value?	19
Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases	19
Diagnostic performance of ultrasound attenuation imaging for assessing low-grade hepatic steatosis	19
Validation of functional liver imaging scores (FLIS) derived from gadoxetic acid–enhanced MRI in patients with chronic liver disease and liver cirrhosis: the relationship between Child-Pugh score and	19
The role of the deep convolutional neural network as an aid to interpreting brain [18F]DOPA PET/CT in the diagnosis of Parkinson’s disease	19
Brain MRI findings in newborns with congenital cytomegalovirus infection: results from a large cohort study	19
Histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for predicting occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma	19
Tumor habitat analysis by magnetic resonance imaging distinguishes tumor progression from radiation necrosis in brain metastases after stereotactic radiosurgery	19
Imaging in scrotal trauma: a European Society of Urogenital Radiology Scrotal and Penile Imaging Working Group (ESUR-SPIWG) position statement	19
Prediction of mediastinal lymph node metastasis based on 18F-FDG PET/CT imaging using support vector machine in non-small cell lung cancer	18
Consensus report from the 9th International Forum for Liver Magnetic Resonance Imaging: applications of gadoxetic acid-enhanced imaging	18
Clinical T1aN0M0 lung cancer: differences in clinicopathological patterns and oncological outcomes based on the findings on high-resolution computed tomography	18
Ultrasound-guided sclerotherapy for the treatment of ovarian endometrioma: an updated systematic review and meta-analysis	18
Dual-energy computed tomography in acute ischemic stroke: state-of-the-art	18
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training	18
Contrast-enhanced ultrasound: a valuable modality for extracapsular extension assessment in papillary thyroid cancer	18