Cancer Imaging

Papers
(The H4-Index of Cancer Imaging is 21. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram63
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting39
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis38
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT37
A whole-body diffusion MRI normal atlas: development, evaluation and initial use31
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma31
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics28
Targeted sequencing of DNA/RNA combined with radiomics predicts lymph node metastasis of papillary thyroid carcinoma27
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model26
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI26
Clinical application of machine learning models in patients with prostate cancer before prostatectomy25
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients25
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma25
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines24
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients23
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus22
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued22
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis22
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment21
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding21
Contrast-enhanced ultrasound for diagnosing subtypes of intrahepatic cholangiocarcinoma: a comparative study with poorly differentiated hepatocellular carcinoma21
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment21
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI21
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