Evidence map›Paper›PMID 41718533›Full record

ArticleRadiology. Imaging cancer2026

Evaluation, Optimization, and Validation of a Multiparametric CT Algorithm for Solid Renal Masses: CT-Score Version 2.0.

Satheesh Krishna, Mayooran Kandasamy, Rajesh Bhayana, Bipin Nanda, Kanika Diwan, Ameen Kamona, Sabah Sairafi, Susan Prendeville, Yangqing Deng, Antonio Finelli and 2 more

Erratum issuedAbstract readValidation Study
In one paragraph

Article in Radiology. Imaging cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

12 authors.

Satheesh KrishnaDepartment of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Street Address, Toronto, ON, Canada M5G 2C4.ORCID 0000-0001-6603-7621
Mayooran KandasamyDepartment of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Street Address, Toronto, ON, Canada M5G 2C4.
Rajesh BhayanaDepartment of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Street Address, Toronto, ON, Canada M5G 2C4.ORCID 0000-0002-8352-7953
Bipin NandaDepartment of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Street Address, Toronto, ON, Canada M5G 2C4.ORCID 0000-0002-2282-6167
Kanika DiwanDepartment of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada.
Ameen KamonaDepartment of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Street Address, Toronto, ON, Canada M5G 2C4.ORCID 0009-0002-0787-8281
Sabah SairafiDepartment of Medical Imaging, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, Street Address, Toronto, ON, Canada M5G 2C4.
Susan PrendevilleDepartment of Laboratory Medicine and Pathology, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-1068-355X
Yangqing DengDepartment of Biostatistics, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-6218-3437
Antonio FinelliDivision of Urology, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-4032-6120
Matthew S DavenportDepartments of Radiology and Urology, Michigan Medicine, Ann Arbor, Mich.ORCID 0000-0001-7943-7851
Nicola SchiedaDepartment of Medical Imaging, University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-2653-4786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To compare published CT-based systems for small solid renal mass (SoRM) assessment, propose modifications that may increase specificity and interreader agreement, and validate the revised system. Materials and Methods Our retrospective study included patients with histologically confirmed SoRMs measuring ≤4 cm who underwent CT imaging (single-institution internal dataset,

Indexed as

AlgorithmsCarcinoma, Renal CellKidney NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityAlgorithmClear Cell RCCCTKidneyOncologyPapillary RCCRenal MassUrinary

Identifiers

PMID41718533
PMCPMC13036657

What OpenQuestion holds

Textmetadata
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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.