Evidence map›Paper›PMID 42449671›Full record

ReviewCancers2026

The Central Role of Imaging in Renal Cell Carcinoma: A Comprehensive Review of Tumor Aggressiveness, Histology, and Radiomics.

Andreu Ivars, Blanca Paño, Josep Puig, María Fresno, Leonardo Rodríguez, Carmen Sebastia, Carlos Nicolau

Abstract readReview
In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Andreu IvarsRadiology Department, Clinic Hospital, IDIBAPS, University of Barcelona (UB), 08036 Barcelona, Spain.ORCID 0009-0000-0702-1267
Blanca PañoRadiology Department, Clinic Hospital, IDIBAPS, University of Barcelona (UB), 08036 Barcelona, Spain.
Josep PuigRadiology Department, Clinic Hospital, IDIBAPS, University of Barcelona (UB), 08036 Barcelona, Spain.ORCID 0000-0003-2791-6599
María FresnoRadiology Department, Clinic Hospital, IDIBAPS, University of Barcelona (UB), 08036 Barcelona, Spain.
Leonardo RodríguezPathology Department, Clinic Hospital, IDIBAPS, University of Barcelona (UB), 08036 Barcelona, Spain.ORCID 0000-0002-7019-554X
Carmen SebastiaRadiology Department, Clinic Hospital, IDIBAPS, University of Barcelona (UB), 08036 Barcelona, Spain.
Carlos NicolauRadiology Department, Clinic Hospital, IDIBAPS, University of Barcelona (UB), 08036 Barcelona, Spain.ORCID 0000-0002-1381-6442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma encompasses a heterogeneous group of kidney tumors with wide variations in biological behavior, histologic subtype, and clinical aggressiveness. Accurate preoperative characterization is essential for management, yet remains challenging because benign, indolent, and aggressive lesions often show overlapping imaging features. CT is the most widely used modality for renal mass evaluation, offering broad availability, high spatial resolution, and multiphasic acquisition. This comprehensive narrative review summarizes current evidence on CT-based characterization of renal cell carcinoma, radiologic-pathologic correlation, imaging markers of tumor aggressiveness, renal mass biopsy, and radiomics. Radiomics and other quantitative imaging approaches may complement conventional imaging by capturing tumor heterogeneity and biologically relevant features; however, most studies remain retrospective, single-center, and methodologically heterogeneous. Multicenter validation, standardized acquisition and segmentation, transparent reporting, and demonstration of added clinical value are required before these methods can be implemented in routine care.

Indexed as

computed tomographyhistologic subtypesISUP gradequantitative imagingradiologic–pathologic correlationradiomicsrenal cell carcinomarenal masstumor aggressiveness

Identifiers

PMID42449671
PMCPMC13359438

What OpenQuestion holds

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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.