Cancer Imaging

Papers
(The H4-Index of Cancer Imaging is 17. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses45
Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study45
Imaging genomics of cancer: a bibliometric analysis and review43
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma34
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting26
PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma24
Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature24
Head-to-head comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F]FDG PET/CT for the evaluation of tonsil cancer and lymph node metastases: a single-centre retrospective study23
Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives23
Exploration of spatial distribution of brain metastasis from small cell lung cancer and identification of metastatic risk level of brain regions: a multicenter, retrospective study21
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery21
Contrast-enhanced ultrasonography–CT/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome21
18F−Prostate−Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN−2): a phase I/II study19
Ultrasound super-resolution imaging for non-invasive assessment of microvessel in prostate lesion18
Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas17
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma17
Intra-patient comparison of physiologic 68Ga-PSMA-11 and 18F-DCFPyL PET/CT uptake in ganglia in prostate cancer patients: a pictorial essay17
Prognostic value of pre-treatment FDG PET/CT SUVmax for metastatic lesions in de novo metastatic nasopharyngeal carcinoma following chemotherapy and locoregional radiotherapy17
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