ReviewTopics in magnetic resonance imaging : TMRI2014
MRI phenotype in renal cancer: is it clinically relevant?
Review in Topics in magnetic resonance imaging : TMRI, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed, 64 citations in OpenAlex.
- Qualitative and Quantitative Analysis of Contrast-Enhanced Ultrasound in the Characterization of Kidney Cancer Subtypes.Diagnostics (Basel, Switzerland) · 2025Article
- Multimodality Imaging Features of Papillary Renal Cell Carcinoma.Diagnostics (Basel, Switzerland) · 2025Article
- Differential diagnosis of clear cell renal cell carcinoma with low signal intensity on T2WI from angiomyolipoma without visible fat on MR imaging.Frontiers in oncology · 2025Article
- Feasibility and Reproducibility of T2 Mapping Compared with Diffusion-Weighted Imaging in Solid Renal Masses.Bioengineering (Basel, Switzerland) · 2024Article
- Scientific Status Quo of Small Renal Lesions: Diagnostic Assessment and Radiomics.Journal of clinical medicine · 2024Review
- Wearable Nanocomposite Sensor System for Motion Phenotyping Chronic Low Back Pain: A BACPAC Technology Research Site.Pain medicine (Malden, Mass.) · 2023Article
- Diagnostic performance of multiparametric magnetic resonance imaging in the differentiation of clear cell renal cell cancer.Abdominal radiology (New York) · 2023Article
- The Role of CT Imaging in Characterization of Small Renal Masses.Diagnostics (Basel, Switzerland) · 2023Review
- Multiparametric magnetic resonance imaging for characterizing renal tumors: A validation study of the algorithm presented by CornelisJournal of clinical imaging science · 2023Article
- Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis.European radiology · 2022Article
- Multidetector CT Characteristics of Fumarate Hydratase-Deficient Renal Cell Carcinoma and Papillary Type II Renal Cell Carcinoma.Korean journal of radiology · 2021Article
- Review
- Predicting common solid renal tumors using machine learning models of classification of radiologist-assessed magnetic resonance characteristics.Abdominal radiology (New York) · 2020Article
- Contrast-enhanced magnetic resonance (MR) T1 mapping with low-dose gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA) is promising in identifying clear cell renal cell carcinoma histopathological grade and differentiating fat-poor angiomyolipoma.Quantitative imaging in medicine and surgery · 2020Article
- Intravoxel incoherent motion magnetic resonance imaging: basic principles and clinical applications.Polish journal of radiology · 2020Review
- Use of quantitative T2 mapping for the assessment of renal cell carcinomas: first results.Cancer imaging : the official publication of the International Cancer Imaging Society · 2019Article
- How clinical imaging can assess cancer biology.Insights into imaging · 2019Review
- Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.European radiology · 2019Article
- Radiomics in Kidney Cancer: MR Imaging.Magnetic resonance imaging clinics of North America · 2019Review
- CT and MRI of small renal masses.The British journal of radiology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Renal cell carcinoma (RCC) is most commonly diagnosed as an incidental finding on cross-sectional imaging and represents a significant clinical challenge. Although most patients have a surgically curable lesion at the time of diagnosis, the variability in the biologic behavior of the different histologic subtypes and tumor grade of RCC, together with the increasing array of management options, creates uncertainty for the optimal clinical approach to individual patients. State-of-the-art magnetic resonance imaging (MRI) provides a comprehensive assessment of renal lesions that includes multiple forms of tissue contrast as well as functional parameters, which in turn provides information that helps to address this dilemma. In this article, we review this evolving and increasingly comprehensive role of MRI in the detection, characterization, perioperative evaluation, and assessment of the treatment response of renal neoplasms. We emphasize the ability of the imaging "phenotype" of renal masses on MRI to help predict the histologic subtype, grade, and clinical behavior of RCC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.