ReviewThe British journal of radiology2018
CT and MRI of small renal masses.
Review in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Multiphase CT-Based Tumor and Peritumoral Radiomics for Characterization of Clear Cell Renal Cell Carcinoma.Journal of imaging informatics in medicine · 2026Article
- Preoperative Plasma Cell-Free DNA Integrity Index in Clear Cell Renal Cell Carcinoma: An Exploratory Case-Control Study.Cancers · 2026Article
- Artificial intelligence-based segmentation of small renal masses: a multi-center, multi-scanner, multi-sequence study.Abdominal radiology (New York) · 2026Article
- Diagnostic performance of the clear cell likelihood score (ccLS) for small renal masses characterization in patients undergoing percutaneous biopsy.La Radiologia medica · 2026Article
- Granular Machine Learning-Based Computed Tomography Contrast Phase Prediction.Mayo Clinic proceedings. Digital health · 2026Article
- Rare renal metastasis: Oligometastatic non-small cell lung cancer diagnosed with ultrasound guided renal biopsy.Radiology case reports · 2026Article
- UCSF RMaC: University of California San Francisco 3D Multi-Phase Renal Mass CT Dataset with Tumor Segmentations.medRxiv : the preprint server for health sciences · 2026Article
- Machine learning based classification of aggressive and malignant renal tumors from multimodal data.PLOS digital health · 2026Article
- A 24-Year Analysis of Percutaneous Renal Biopsy Trends in Australia.Medical sciences (Basel, Switzerland) · 2025Article
- MRI annotation using an inversion-based preprocessing for CT model adaptation.European radiology experimental · 2025Article
- Impact of tumor size and sex on diagnostic discrepancies in renal mass imaging.Scientific reports · 2025Article
- Renal tumor segmentation, visualization, and segmentation confidence using ensembles of neural networks in patients undergoing surgical resection.European radiology · 2025Article
- Evaluation and failure analysis of four commercial deep learning-based autosegmentation software for abdominal organs at risk.Journal of applied clinical medical physics · 2025Article
- K-Means Clustering of HyperpolarisedCancers · 2025Article
- Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors.Tomography (Ann Arbor, Mich.) · 2025Article
- Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study.European journal of radiology open · 2024Article
- Automatic renal carcinoma biopsy guidance using forward-viewing endoscopic optical coherence tomography and deep learning.Communications engineering · 2024Article
- A comparative analysis of fear of cancer recurrence in patients with small renal masses: Active surveillance versus cryoablation.Acta oncologica (Stockholm, Sweden) · 2024Article
- Automatic renal carcinoma biopsy guidance using forward-viewing endoscopic optical coherence tomography and deep learning.Research square · 2023Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Small renal masses are increasingly detected incidentally at imaging. They vary widely in histology and aggressiveness, and include benign renal tumors and renal cell carcinomas that can be either indolent or aggressive. Imaging plays a key role in the characterization of these small renal masses. While a confident diagnosis can be made in many cases, some renal masses are indeterminate at imaging and can present as diagnostic dilemmas for both the radiologists and the referring clinicians. This article will summarize the current evidence of imaging features that correlate with the biology of small solid renal masses, and discuss key approaches in imaging characterization of these masses using CT and MRI.
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