Evidence map›Paper›PMID 42234111›Full record

ReviewAbdominal radiology (New York)2026

Spectral CT in renal cell carcinoma: the promising role of dual-energy and photon-counting techniques.

Maka Kekelidze, Roberto García-Figueiras, Mia Kolmos, Alicia Rantzau Silberbrandt, Weronika Elzbieta Olech, Jens Borgbjerg, Olga Śliwicka, Thomas Flohr, Hatem Alkadhi, Rebeca Mirón Mombiela

Abstract readReview
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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

10 authors.

Maka Kekelidze *Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Roberto García-Figueiras *Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain.
Mia KolmosDepartment of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark.
Alicia Rantzau SilberbrandtDepartment of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark.
Weronika Elzbieta OlechDepartment of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark.
Jens BorgbjergDepartment of Radiology, Akershus University Hospital, Nordbyhagen, Norway.
Olga ŚliwickaII Department of Radiology and Diagnostic Imaging, Central Teaching Hospital, Medical University of Lodz, Lodz, Poland.
Thomas FlohrDiagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Hatem AlkadhiDiagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Rebeca Mirón MombielaDepartment of Radiology, Herlev and Gentofte Hospital, Herlev, Denmark. rebeca.miron.mombiela@regionh.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expansion of cross-sectional imaging has led to a rise in the incidentally detected renal masses, including renal cell carcinomas (RCC). Though most incidentally detected renal masses are cysts, a clinical challenge is distinguishing cystic (often proteinaceous or hemorrhagic) from solid lesions, particularly when only a single phase examination is available. Spectral CT has the potential to offer advantages across different clinical applications in RCC. It has direct protocol implications, reducing the number of phases needed in CT urography or renal CT protocols, thereby lowering radiation dose while maintaining accuracy and cost-effectiveness. In addition, energy- and material-specific information can be extracted from a single data set, including quantitative data often regarded as surrogates of functional information (e.g., perfusion) that could be used to characterize renal lesions. Spectral CT imaging enables accurate distinction between cystic and solid renal masses. It could be a useful adjunct tool that improves characterization and monitoring, but it doesn't yet replace biopsy or histology, especially for subtype and grading, and may play an important role in post-treatment follow-up, assessment of therapy response, and differentiation of metastasis. Finally, PCCT offers the added advantages of improved spatial resolution and reduced contrast dose, image noise, and artifacts. PCCT may also enable new applications, such as K-edge imaging. The purpose of this article is to provide the reader with a summary of the technique's physics and its potential advantages, including both current and emerging applications in RCC.

Indexed as

Dual energy CT (DECT)Photon counting CT (PCCT)Renal cell carcinoma (RCC)Spectral CT

Identifiers

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.