| Epidemiology of hepatocellular carcinoma: target population for surveillance and diagnosis |
58 |
| CEUS LI-RADS: algorithm, implementation, and key differences from CT/MRI |
27 |
| Radiogenomics: bridging imaging and genomics |
25 |
| Imaging with ultrasound contrast agents: current status and future |
22 |
| Prostate cancer detection with biparametric magnetic resonance imaging (bpMRI) by readers with different experience: performance and comparison with multiparametric (mpMRI) |
22 |
| Contrast-enhanced ultrasound of the liver: technical and lexicon recommendations from the ACR CEUS LI-RADS working group |
21 |
| Principles of ultrasound elastography |
21 |
| Deep learning and radiomics: the utility of Google TensorFlow Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT |
19 |
| Hepatocellular carcinoma: preoperative gadoxetic acid-enhanced MR imaging can predict early recurrence after curative resection using image features and texture analysis |
16 |
| Hepatocellular carcinoma (HCC) versus non-HCC: accuracy and reliability of Liver Imaging Reporting and Data System v2018 |
16 |
| Contrast-enhanced ultrasound (CEUS) in abdominal intervention |
14 |
| Use of magnetic resonance imaging in rectal cancer patients: Society of Abdominal Radiology (SAR) rectal cancer disease-focused panel (DFP) recommendations 2017 |
14 |
| LI-RADS M (LR-M): definite or probable malignancy, not specific for hepatocellular carcinoma |
14 |
| Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm |
14 |
| Evaluation of an abbreviated screening MRI protocol for patients at risk for hepatocellular carcinoma |
13 |
| CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma |
13 |
| Role of MR texture analysis in histological subtyping and grading of renal cell carcinoma: a preliminary study |
13 |
| Artifacts in contrast-enhanced ultrasound: a pictorial essay |
13 |
| Magnetic resonance imaging as a non-invasive method for the assessment of pancreatic fibrosis (MINIMAP): a comprehensive study design from the consortium for the study of chronic pancreatitis, diabetes, and pancreatic cancer |
13 |
| The Role of 18F-FDG PET/CT and PET/MRI in Pancreatic Ductal Adenocarcinoma |
13 |
| Shear wave liver elastography |
12 |
| White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI |
12 |
| MR texture analysis: potential imaging biomarker for predicting the chemotherapeutic response of patients with colorectal liver metastases |
12 |
| Assessment of arterially hyper-enhancing liver lesions using virtual monoenergetic images from spectral detector CT: phantom and patient experience |
12 |
| Contrast-enhanced ultrasound of malignant liver lesions |
11 |
| Applications of contrast-enhanced ultrasound in the pediatric abdomen |
11 |
| Machine learning for medical ultrasound: status, methods, and future opportunities |
11 |
| Investigating the role of DCE-MRI, over T2 and DWI, in accurate PI-RADS v2 assessment of clinically significant peripheral zone prostate lesions as defined at radical prostatectomy |
11 |
| Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort |
11 |
| Assessment of multiphasic contrast-enhanced MR textures in differentiating small renal mass subtypes |
10 |
| Quantification of fat and skeletal muscle tissue at abdominal computed tomography: associations between single-slice measurements and total compartment volumes |
10 |
| Radiogenomics in renal cell carcinoma |
10 |
| Radiomics and radiogenomics of prostate cancer |
10 |
| MRI of pancreatic ductal adenocarcinoma: texture analysis of T2-weighted images for predicting long-term outcome |
10 |
| Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review |
10 |
| Prediction of efficacy of neoadjuvant chemoradiotherapy for rectal cancer: the value of texture analysis of magnetic resonance images |
10 |
| Role of contrast-enhanced ultrasound in evaluation of the bowel |
9 |
| Does intravoxel incoherent motion reliably stage hepatic fibrosis, steatosis, and inflammation? |
9 |
| Quantitative dynamic contrast-enhanced MR imaging for differentiating benign, borderline, and malignant ovarian tumors |
9 |
| LI-RADS (R) ancillary features on CT and MRI |
9 |
| LI-RADS technical requirements for CT, MRI, and contrast-enhanced ultrasound |
9 |
| Diagnostic value of MR-based texture analysis for the assessment of hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) |
9 |
| Reference range of liver corrected T1 values in a population at low risk for fatty liver diseasea UK Biobank sub-study, with an appendix of interesting cases |
9 |
| Congenital portosystemic shunts: diagnosis and treatment |
9 |
| Value of hepatocellular phase imaging after intravenous gadoxetate disodium for assessing hepatic metastases from gastroenteropancreatic neuroendocrine tumors: comparison with other MRI pulse sequences and with extracellular agent |
9 |
| Volumetric quantitative histogram analysis using diffusion-weighted magnetic resonance imaging todifferentiate HCC from other primary liver cancers |
8 |
| Textural analysis on contrast-enhanced CT in pancreatic neuroendocrine neoplasms: association with WHO grade |
8 |
| MR elastography in primary sclerosing cholangitis: correlating liver stiffness with bile duct strictures and parenchymal changes |
8 |
| Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging |
8 |
| Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer |
8 |
