ReviewRadiologic clinics of North America2017
Imaging of Solid Renal Masses.
Review in Radiologic clinics of North America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- CT radiomics for differentiating oncocytoma from renal cell carcinomas: Systematic review and meta-analysis.Clinical imaging · 2023Pooled it
- Systematic review and meta-analysis of multiparametric MRI clear cell likelihood scores for classification of small renal masses.Frontiers in oncology · 2022Pooled it
- Combined radiological approach for characterization of solid renal masses: a proposed strategy for integrating the RENAL nephrometry score into the clear cell likelihood score.BMC medical imaging · 2026Article
- Advances in renal cancer: diagnosis, treatment, and emerging technologies.La Radiologia medica · 2025Review
- The evolving management of small renal masses.Nature reviews. Urology · 2024Review
- Differentiation between renal epithelioid angiomyolipoma and clear cell renal cell carcinoma using clear cell likelihood score.Abdominal radiology (New York) · 2023Article
- Style Transfer-assisted Deep Learning Method for Kidney Segmentation at Multiphase MRI.Radiology. Artificial intelligence · 2023Article
- [Comparison of diagnostic performance of Clear Cell Likelihood Score v1.0 and v2.0 for clear renal cell carcinoma].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- The Role of CT Imaging in Characterization of Small Renal Masses.Diagnostics (Basel, Switzerland) · 2023Review
- Article
- Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms.Frontiers in oncology · 2023Article
- Differentiation of renal masses with multi-parametric MRI: the de Silva St George classification scheme.BMC urology · 2022Article
- Article
- Small Renal Masses without Gross Fat: What Is the Role of Contrast-Enhanced MDCT?Diagnostics (Basel, Switzerland) · 2022Article
- Canadian Urological Association guideline: Management of small renal masses - Full-text.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2022Article
- How We Do It: Managing the Indeterminate Renal Mass with the MRI Clear Cell Likelihood Score.Radiology · 2022Review
- Association of Clear Cell Likelihood Score on MRI and Growth Kinetics of Small Solid Renal Masses on Active Surveillance.AJR. American journal of roentgenology · 2022Article
- Magnetic Resonance Imaging Radiomics Analyses for Prediction of High-Grade Histology and Necrosis in Clear Cell Renal Cell Carcinoma: Preliminary Experience.Clinical genitourinary cancer · 2021Article
- Imaging Characterization of Renal Masses.Medicina (Kaunas, Lithuania) · 2021Review
- Prospective performance of clear cell likelihood scores (ccLS) in renal masses evaluated with multiparametric magnetic resonance imaging.European radiology · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Detection of solid renal masses has increased, although it has not resulted in significant mortality reduction from renal cell carcinoma. Efforts for improved lesion characterization have been pursued and incorporated in management algorithms, in order to distinguish clinically significant tumors from favorable or benign conditions. Concurrently, imaging methods have produced evidence supporting their role as useful tools not only in lesion detection but also characterization. In addition, newer modalities, such as contrast-enhanced ultrasonography, and advanced applications of MR imaging, are being investigated. This article reviews the current role of different imaging methods in the characterization of solid renal masses.
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Registered trials
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