Cancer Imaging

Papers
(The H4-Index of Cancer Imaging is 24. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Intravoxel incoherent motion imaging combined with diffusion kurtosis imaging to assess the response to radiotherapy in a rabbit VX2 malignant bone tumor model75
Survival impact of a KEAP1-NFE2L2 radiomics model in PDL1 ≥ 50% non-small cell lung cancer treated with pembrolizumab: the PEMBROMIC study70
Contrast-enhanced ultrasound quantitative parameters for predicting benign and malignant greater omentum lesions: an applied study67
Comparison of the diagnostic accuracy of enhanced-CT and double contrast-enhanced ultrasound for preoperative T-staging of gastric cancer: a meta-analysis60
Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients41
Clinical application of machine learning models in patients with prostate cancer before prostatectomy40
Predicting malignant risk of ground-glass nodules using convolutional neural networks based on dual-time-point 18F-FDG PET/CT37
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram34
Ultrasound-guided percutaneous core biopsy of renal sinus masses: diagnostic yield, safety, and clinical impact34
Systematic effects of patient factors and scanner/protocol factors on a Restriction Spectrum Imaging (RSI) quantitative MRI biomarker for prostate cancer31
Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma30
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 carcinoma28
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting27
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued27
A whole-body diffusion MRI normal atlas: development, evaluation and initial use27
An MRI-based radiomics nomogram for differentiating spinal metastases from multiple myeloma27
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI27
Glymphatic system dysfunction and cerebrospinal fluid retention in gliomas: evidence from perivascular space diffusion and volumetric analysis27
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines26
Parameter-driven habitat imaging based on intravoxel incoherent motion MRI for preoperative prediction of muscle invasion in bladder cancer25
Diagnostic performance and prognostic value of preoperative 18F-FDG PET/CT in renal cell carcinoma patients with venous tumor thrombus25
Imaging appearances, CT evolution patterns, and surgical prognosis of stage I lung squamous cell carcinoma24
Response assessment in rectal cancer undergoing total neoadjuvant therapy: decision tree analysis integrating contrast enhanced T1-weighted MRI24
Evaluation of 3D ARFI imaging of prostate cancer: diagnostic reliability and concordance with MpMRI24
The prognostic significance of semi-quantitative metabolic parameters and tumoral metabolic activity based on 123I-MIBG SPECT/CT in pretreatment neuroblastoma patients24
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