Evidence map›Paper›PMID 41774135›Full record

ReviewAbdominal radiology (New York)2026

Staging and imaging-based prognostication in renal cell carcinoma: current guidelines and practical considerations.

Yuki Arita, Anton Becker, Doris Leithner, Kye Jin Park, Sung Yoon Park, Samuel J Withey, Hiromi Edo, Motohiro Fujiwara, Sungmin Woo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yuki AritaDepartment of Radiology, University of California, San Francisco, San Francisco, USA. yukiarita1113@gmail.com.ORCID http://orcid.org/0000-0002-5285-0352
Anton BeckerDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, USA.
Doris LeithnerDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, USA.
Kye Jin ParkDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Sung Yoon ParkDepartment of Radiology, University of Washington School of Medicine, Seattle, USA.
Samuel J WitheyDepartment of Radiology, Royal Marsden NHS Foundation Trust, London, UK.
Hiromi EdoDepartment of Radiology, National Defense Medical College, Saitama, Japan.
Motohiro FujiwaraDepartment of Urology, Institute of Science Tokyo, Tokyo, Japan.
Sungmin WooDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging-based staging is a key component of renal cell carcinoma (RCC) management, yet anatomic labels alone do not fully capture tumor biology. This review highlights key aspects of RCC staging using computed tomography (CT) and magnetic resonance imaging (MRI), compares their use across major guidelines, and explores how integrating imaging-based prognostic markers can refine preoperative risk assessment. We summarize the pragmatic use of multiphase CT and MRI for T-staging, highlight pitfalls, and outline indications for chest and ancillary imaging based on American Urological Association, European Association of Urology, and National Comprehensive Cancer Network guidelines. We also discuss imaging-based prognostic biomarkers, including central non-enhancement and enhancement heterogeneity, diffusion metrics, and radiomic signatures, and we describe how they correlate with outcomes such as tumor grade, stage, molecular features, and survival. In addition, we dive into future directions, focusing on the potential integration of advanced technologies (e.g., photon-counting detector CT, [89Zr] Zr-deferoxamine (DFO)-girentuximab positron emission tomography/CT), integration with liquid biopsy, and development of standardized reporting systems focusing on cancer likelihood and aggressiveness (e.g., Kidney Imaging Reporting and Data System). By bridging staging descriptors with prognostic phenotypes, we aim to standardize reports, better inform management, and improve decision-making for patients with RCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMagnetic Resonance ImagingTomography, X-Ray ComputedHumansNeoplasm StagingPractice Guidelines as TopicPrognosisComputed tomographyMagnetic resonance imagingRenal cell carcinomaRisk assessment

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.