European Radiology

Papers
(The median citation count of European Radiology is 11. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)534
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence226
The sensitivity and specificity of chest CT in the diagnosis of COVID-19127
Multi-scale and multi-parametric radiomics of gadoxetate disodium–enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm119
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude109
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 201884
Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department83
CT iterative vs deep learning reconstruction: comparison of noise and sharpness82
Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning72
Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers72
Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI71
Prediction of tumor response via a pretreatment MRI radiomics-based nomogram in HCC treated with TACE71
Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer67
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study66
Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers65
Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks62
Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge62
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 patients61
Pancreas image mining: a systematic review of radiomics60
Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics59
Volumetric assessment of the periablational safety margin after thermal ablation of colorectal liver metastases59
Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review59
Identification of high-risk carotid plaque with MRI-based radiomics and machine learning59
An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education56
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA55
MRI-Based radiomics nomogram for differentiation of benign and malignant lesions of the parotid gland51
Which role for chest x-ray score in predicting the outcome in COVID-19 pneumonia?51
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions50
Can artificial intelligence reduce the interval cancer rate in mammography screening?50
Radiomics signature of brain metastasis: prediction of EGFR mutation status50
Percutaneous microwave ablation of bone tumors: a systematic review49
Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy47
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 patients47
Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study47
CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma47
Pulmonary embolism in patients with COVID-19 and value of D-dimer assessment: a meta-analysis47
MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance47
Deep learning–based metal artefact reduction in PET/CT imaging47
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study46
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data45
Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer45
Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic cholangiocarcinoma45
Deep learning–based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms44
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms44
Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer44
MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study44
COVID-19 classification of X-ray images using deep neural networks44
CT diagnostic reference levels based on clinical indications: results of a large-scale European survey43
Structured reporting in radiology: a systematic review to explore its potential43
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 spine43
Gd-EOB-DTPA-enhanced MRI radiomics to predict vessels encapsulating tumor clusters (VETC) and patient prognosis in hepatocellular carcinoma42
The validity, reliability, and reviewer acceptance of VI-RADS in assessing muscle invasion by bladder cancer: a multicenter prospective study42
Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema42
Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage41
Performance of machine learning algorithms for glioma segmentation of brain MRI: a systematic literature review and meta-analysis41
Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI41
Coronary calcium scoring potential of large field-of-view spectral photon-counting CT: a phantom study41
ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging41
MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study41
Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver41
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging40
Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT40
Chest CT–derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy40
Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques40
MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer40
Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning39
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset39
Overall survival and local recurrence following RFA, MWA, and cryoablation of very early and early HCC: a systematic review and Bayesian network meta-analysis39
Deep learning in breast radiology: current progress and future directions39
Unnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysis39
Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction39
Radiomics model based on shear-wave elastography in the assessment of axillary lymph node status in early-stage breast cancer38
A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma38
Inter-reader agreement of the PI-QUAL score for prostate MRI quality in the NeuroSAFE PROOF trial38
Improved coronary calcification quantification using photon-counting-detector CT: an ex vivo study in cadaveric specimens38
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation38
[18F]FDG uptake of axillary lymph nodes after COVID-19 vaccination in oncological PET/CT: frequency, intensity, and potential clinical impact38
Imaging alternatives to colonoscopy: CT colonography and colon capsule. European Society of Gastrointestinal Endoscopy (ESGE) and European Society of Gastrointestinal and Abdominal Radiology (ESGAR) G38
COVID-19 pneumonia imaging follow-up: when and how? A proposition from ESTI and ESR38
Improvement of late gadolinium enhancement image quality using a deep learning–based reconstruction algorithm and its influence on myocardial scar quantification37
Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography37
Bladder cancer: do we need contrast injection for MRI assessment of muscle invasion? A prospective multi-reader VI-RADS approach37
Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network37
Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning37
How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts37
Reporting standards for primary sclerosing cholangitis using MRI and MR cholangiopancreatography: guidelines from MR Working Group of the International Primary Sclerosing Cholangitis Study Group36
A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis36
Magnetic resonance imaging before breast cancer surgery: results of an observational multicenter international prospective analysis (MIPA)36
Five-year follow-up results of thermal ablation for low-risk papillary thyroid microcarcinomas: systematic review and meta-analysis36
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-we36
Quantitative evaluation of passive muscle stiffness by shear wave elastography in healthy individuals of different ages35
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment35
Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma35
A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening35
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques35
Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance34
Training opportunities of artificial intelligence (AI) in radiology: a systematic review34
Prognostic value of myocardial extracellular volume fraction evaluation based on cardiac magnetic resonance T1 mapping with T1 long and short in hypertrophic cardiomyopathy34
An MRI-based radiomics signature as a pretreatment noninvasive predictor of overall survival and chemotherapeutic benefits in lower-grade gliomas34
Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting33
Cumulative effective dose from recurrent CT examinations in Europe: proposal for clinical guidance based on an ESR EuroSafe Imaging survey33
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, diagno33
Quantification of myocardial strain assessed by cardiovascular magnetic resonance feature tracking in healthy subjects—influence of segmentation and analysis software33
The T2-FLAIR mismatch sign as a predictor of IDH-mutant, 1p/19q-noncodeleted lower-grade gliomas: a systematic review and diagnostic meta-analysis33
Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma33
Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system33
Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study33
Efficacy and safety of prostatic artery embolization for benign prostatic hyperplasia: a systematic review and meta-analysis of randomized controlled trials32
Automatic detection and classification of rib fractures based on patients’ CT images and clinical information via convolutional neural network32
Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging32
LI-RADS category 5 hepatocellular carcinoma: preoperative gadoxetic acid–enhanced MRI for early recurrence risk stratification after curative resection32
Distinguishing pancreatic cancer and autoimmune pancreatitis with in vivo tomoelastography31
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-si31
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 performed31
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study31
Small single perivascular hepatocellular carcinoma: comparisons of radiofrequency ablation and microwave ablation by using propensity score analysis31
Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique31
Preoperative prediction of postsurgical outcomes in mass-forming intrahepatic cholangiocarcinoma based on clinical, radiologic, and radiomics features31
Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI31
Clinical outcomes of radiofrequency ablation for multifocal papillary thyroid microcarcinoma versus unifocal papillary thyroid microcarcinoma: a propensity-matched cohort study30
A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer30
Survival outcomes for surgical resection versus CT-guided percutaneous ablation for stage I non-small cell lung cancer (NSCLC): a systematic review and meta-analysis30
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 trial30
A clinical-radiomics nomogram may provide a personalized 90-day functional outcome assessment for spontaneous intracerebral hemorrhage30
Radiologic-pathologic correlation of interstitial lung abnormalities and predictors for progression and survival29
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 collective29
Dedicated breast CT: state of the art—Part II. Clinical application and future outlook29
Diagnostic performance of adult-based ATA and ACR-TIRADS ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis29
A preliminary investigation of radiomics differences between ruptured and unruptured intracranial aneurysms29
Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models29
Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration29
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network28
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 mammog28
Bosniak Classification version 2019: validation and comparison to original classification in pathologically confirmed cystic masses28
A deep-learning model for identifying fresh vertebral compression fractures on digital radiography28
O-RADS MRI score: analysis of misclassified cases in a prospective multicentric European cohort28
Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model28
Prognostic relevance of temporal muscle thickness as a marker of sarcopenia in patients with glioblastoma at diagnosis28
Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT28
MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma28
Feasibility and reproducibility of T2 mapping and DWI for identifying malignant lymph nodes in rectal cancer28
Interdisciplinary consensus statements on imaging of scapholunate joint instability28
Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept28
Three-dimension amide proton transfer MRI of rectal adenocarcinoma: correlation with pathologic prognostic factors and comparison with diffusion kurtosis imaging28
A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients28
Diagnostic value of ultrasonography in acute lateral and syndesmotic ligamentous ankle injuries28
Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer28
Late recurrence of hepatocellular carcinoma after radiofrequency ablation: a multicenter study of risk factors, patterns, and survival27
A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial bone27
Comparison of image quality between spectral photon-counting CT and dual-layer CT for the evaluation of lung nodules: a phantom study27
Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors27
Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC27
Radiological review of prior screening mammograms of screen-detected breast cancer27
MRI grading for the prediction of prostate cancer aggressiveness27
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 images27
Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance27
Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations27
Radiogenomics of neuroblastoma in pediatric patients: CT-based radiomics signature in predicting MYCN amplification27
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 carcinoma27
Determining an energy threshold for optimal volume reduction of benign thyroid nodules treated by radiofrequency ablation27
Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and autoimmune pancreatitis27
Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status27
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 tomography26
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma26
Assessment of tumor depth in oral tongue squamous cell carcinoma with multiparametric MRI: correlation with pathology26
Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer26
High-intensity focused ultrasound (HIFU) ablation versus surgical interventions for the treatment of symptomatic uterine fibroids: a meta-analysis26
Efficacy and safety of irreversible electroporation for malignant liver tumors: a systematic review and meta-analysis26
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 ultrasound26
Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase26
Reduced-iodine-dose dual-energy coronary CT angiography: qualitative and quantitative comparison between virtual monochromatic and polychromatic CT images26
Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation25
Performance of PET imaging for the localization of epileptogenic zone in patients with epilepsy: a meta-analysis25
Percutaneous transhepatic biliary drainage (PTBD) in patients with dilated vs. nondilated bile ducts: technical considerations and complications25
Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning25
Identifying Parkinson’s disease with mild cognitive impairment by using combined MR imaging and electroencephalogram25
Prognostic value of early changes in CT-measured body composition in patients receiving chemotherapy for unresectable pancreatic cancer25
Deep learning to automate the labelling of head MRI datasets for computer vision applications25
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 study25
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography25
Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging25
Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram25
Prediction of chronic thromboembolic pulmonary hypertension with standardised evaluation of initial computed tomography pulmonary angiography performed for suspected acute pulmonary embolism25
Focal pericoronary adipose tissue attenuation is related to plaque presence, plaque type, and stenosis severity in coronary CTA24
Frequency and risk factors for major complications after stereotactic radiofrequency ablation of liver tumors in 1235 ablation sessions: a 15-year experience24
Immune checkpoint inhibitor therapy may increase the incidence of treatment-related necrosis after stereotactic radiosurgery for brain metastases: a systematic review and meta-analysis24
Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients—a radiomics nomogram analysis24
Performance of four dual-energy CT platforms for abdominal imaging: a task-based image quality assessment based on phantom data24
Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects24
Macrotrabecular-massive hepatocellular carcinoma: imaging identification and prediction based on gadoxetic acid–enhanced magnetic resonance imaging24
Deep learning model for predicting gestational age after the first trimester using fetal MRI24
Improving quality of life in pancreatic cancer patients following high-intensity focused ultrasound (HIFU) in two European centers24
Artificial intelligence for stepwise diagnosis and monitoring of COVID-1924
Feasibility of T2WI-MRI-based radiomics nomogram for predicting normal-sized pelvic lymph node metastasis in cervical cancer patients24
Predictors of failed enema reduction in children with intussusception: a systematic review and meta-analysis24
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery24
Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility24
Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study23
Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning23
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis23
Addition of HER2 and CD44 to 18F-FDG PET–based clinico-radiomic models enhances prediction of neoadjuvant chemoradiotherapy response in esophageal cancer23
Non-contrast MRI can accurately characterize adnexal masses: a retrospective study23
A CT-based radiomics nomogram for differentiation of lympho-associated benign and malignant lesions of the parotid gland23
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 manage23
Ultrasound-guided targeted biopsies of CT-based radiomic tumour habitats: technical development and initial experience in metastatic ovarian cancer23
Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients23
Comparative diagnostic performance of ultrasound shear wave elastography and magnetic resonance elastography for classifying fibrosis stage in adults with biopsy-proven nonalcoholic fatty liver diseas23
Impact of the COVID-19 lockdown in France on the diagnosis and staging of breast cancers in a tertiary cancer centre23
Deep learning–based methods may minimize GBCA dosage in brain MRI23
Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data23
CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy23
Combined hepatocellular carcinoma-cholangiocarcinoma: MRI features correlated with tumor biomarkers and prognosis23
Utility of deep learning for the diagnosis of otosclerosis on temporal bone CT23
Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades22
The Lisbon Agreement on femoroacetabular impingement imaging—part 2: general issues, parameters, and reporting22
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 cancer22
A deep learning–machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors22
Non-enhanced ultrasound is not a satisfactory modality for measuring necrotic ablated volume after radiofrequency ablation of benign thyroid nodules: a comparison with contrast-enhanced ultrasound22
Association between spleen volume and the post-hepatectomy liver failure and overall survival of patients with hepatocellular carcinoma after resection22
Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes22
Quantification of pulmonary perfusion abnormalities using DCE-MRI in COPD: comparison with quantitative CT and pulmonary function22
What level of D-dimers can safely exclude pulmonary embolism in COVID-19 patients presenting to the emergency department?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 cancer22
Intrahepatic cholangiocarcinoma: MRI texture signature as predictive biomarkers of immunophenotyping and survival22
The influence of digital PET/CT on diagnostic certainty and interrater reliability in [68Ga]Ga-PSMA-11 PET/CT for recurrent prostate cancer22
Hepatospecific MR contrast agent uptake on hepatobiliary phase can be used as a biomarker of marked β-catenin activation in hepatocellular adenoma22
Visual lung damage CT score at hospital admission of COVID-19 patients and 30-day mortality22
Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging21
Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs21
Breast density, benign breast disease, and risk of breast cancer over time21
Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas21
How to improve image quality of DWI of the prostate—enema or catheter preparation?21
An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies21
Intra-tumoural lipid composition and lymphovascular invasion in breast cancer via non-invasive magnetic resonance spectroscopy21
Diagnostic reference levels and median doses for common clinical indications of CT: findings from an international registry21
Nomogram development and validation to predict hepatocellular carcinoma tumor behavior by preoperative gadoxetic acid-enhanced MRI21
Assessment of morphological CT imaging features for the prediction of risk stratification, mutations, and prognosis of gastrointestinal stromal tumors21
Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma21
Normal subchondral high T2 signal on MRI mimicking sacroiliitis in children: frequency, age distribution, and relationship to skeletal maturity21
Reproducibility of left atrial function using cardiac magnetic resonance imaging21
An integrated AI model to improve diagnostic accuracy of ultrasound and output known risk features in suspicious thyroid nodules21
Prognostic value of tumoral and peritumoral magnetic resonance parameters in osteosarcoma patients for monitoring chemotherapy response21
AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set size21
Ten-year experience with arterial embolization for peptic ulcer bleeding: N-butyl cyanoacrylate glue versus other embolic agents21
From research to clinical practice: a European neuroradiological survey on quantitative advanced MRI implementation21
CT imaging-based approaches to cochlear duct length estimation—a human temporal bone study21
CT venography correlate of transverse sinus stenosis and venous transstenotic pressure gradient in unilateral pulsatile tinnitus patients with sigmoid sinus wall anomalies20
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