Cancer Imaging

Papers
(The H4-Index of Cancer Imaging is 23. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Nonprostatic diseases on PSMA PET imaging: a spectrum of benign and malignant findings140
How to develop a meaningful radiomic signature for clinical use in oncologic patients108
18F-FDG PET/CT based spleen to liver ratio associates with clinical outcome to ipilimumab in patients with metastatic melanoma45
Mass-forming pancreatitis versus pancreatic ductal adenocarcinoma: CT and MR imaging for differentiation39
Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques38
Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study38
Evaluation of the value of the VI-RADS scoring system in assessing muscle infiltration by bladder cancer34
What scans we will read: imaging instrumentation trends in clinical oncology32
A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy32
MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins30
Early response assessment and prediction of overall survival after peptide receptor radionuclide therapy29
Pharmacokinetic parameters and radiomics model based on dynamic contrast enhanced MRI for the preoperative prediction of sentinel lymph node metastasis in breast cancer29
Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals28
Evaluation of CT-based radiomics signature and nomogram as prognostic markers in patients with laryngeal squamous cell carcinoma28
Whole-body magnetic resonance imaging (WB-MRI) for cancer screening in asymptomatic subjects of the general population: review and recommendations27
Robustness of magnetic resonance radiomic features to pixel size resampling and interpolation in patients with cervical cancer27
The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI26
MRI features predict microvascular invasion in intrahepatic cholangiocarcinoma26
Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer25
A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules25
CT-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma24
Validation of 18F-FDG PET/MRI and diffusion-weighted MRI for estimating the extent of peritoneal carcinomatosis in ovarian and endometrial cancer -a pilot study23
Outcomes assessment in intrahepatic cholangiocarcinoma using qualitative and quantitative imaging features23
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