Evidence map›Paper›PMID 40100027›Full record

ReviewRadiology2025

In Pursuit of KI-RADS: Toward a Single, Evidence-based Imaging Classification of Renal Masses.

Stuart G Silverman, Ivan Pedrosa, Nicola Schieda, Vitaly Margulis, Payal Kapur, Matthew S Davenport

Abstract readReview
In one paragraph

Review in Radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

6 authors.

Stuart G SilvermanFrom the Division of Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (S.G.S.); Department of Radiology (I.P.), Advanced Imaging Research Center (I.P.), Department of Urology (I.P., V.M., P.K.), Kidney Cancer Program, Simmons Comprehensive Cancer Center (I.P., V.M., P.K.), and Department of Pathology (P.K.), University of Texas Southwestern Medical Center, Dallas, Tex; Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); and Departments of Radiology and Urology, Michigan Medicine, Ann Arbor, Mich (M.S.D.).ORCID 0000-0001-9461-8028
Ivan PedrosaFrom the Division of Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (S.G.S.); Department of Radiology (I.P.), Advanced Imaging Research Center (I.P.), Department of Urology (I.P., V.M., P.K.), Kidney Cancer Program, Simmons Comprehensive Cancer Center (I.P., V.M., P.K.), and Department of Pathology (P.K.), University of Texas Southwestern Medical Center, Dallas, Tex; Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); and Departments of Radiology and Urology, Michigan Medicine, Ann Arbor, Mich (M.S.D.).ORCID 0000-0002-0371-8689
Nicola SchiedaFrom the Division of Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (S.G.S.); Department of Radiology (I.P.), Advanced Imaging Research Center (I.P.), Department of Urology (I.P., V.M., P.K.), Kidney Cancer Program, Simmons Comprehensive Cancer Center (I.P., V.M., P.K.), and Department of Pathology (P.K.), University of Texas Southwestern Medical Center, Dallas, Tex; Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); and Departments of Radiology and Urology, Michigan Medicine, Ann Arbor, Mich (M.S.D.).ORCID 0000-0002-2653-4786
Vitaly MargulisFrom the Division of Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (S.G.S.); Department of Radiology (I.P.), Advanced Imaging Research Center (I.P.), Department of Urology (I.P., V.M., P.K.), Kidney Cancer Program, Simmons Comprehensive Cancer Center (I.P., V.M., P.K.), and Department of Pathology (P.K.), University of Texas Southwestern Medical Center, Dallas, Tex; Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); and Departments of Radiology and Urology, Michigan Medicine, Ann Arbor, Mich (M.S.D.).
Payal KapurFrom the Division of Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (S.G.S.); Department of Radiology (I.P.), Advanced Imaging Research Center (I.P.), Department of Urology (I.P., V.M., P.K.), Kidney Cancer Program, Simmons Comprehensive Cancer Center (I.P., V.M., P.K.), and Department of Pathology (P.K.), University of Texas Southwestern Medical Center, Dallas, Tex; Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); and Departments of Radiology and Urology, Michigan Medicine, Ann Arbor, Mich (M.S.D.).ORCID 0000-0002-4239-0495
Matthew S DavenportFrom the Division of Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (S.G.S.); Department of Radiology (I.P.), Advanced Imaging Research Center (I.P.), Department of Urology (I.P., V.M., P.K.), Kidney Cancer Program, Simmons Comprehensive Cancer Center (I.P., V.M., P.K.), and Department of Pathology (P.K.), University of Texas Southwestern Medical Center, Dallas, Tex; Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); and Departments of Radiology and Urology, Michigan Medicine, Ann Arbor, Mich (M.S.D.).ORCID 0000-0001-7943-7851

Funding

University of Texas Southwestern Medical Center SPORE in Kidney CancerP50CA196516 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI James Brugarolas · 2016 to 2026
$24.7M
NON-INVASIVE PHYSIOLOGIC PREDICTORS OF AGGRESSIVENESS IN RENAL CELL CARCINOMAR01CA154475 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI PEDROSA, IVAN · 2011 to 2024
$4.3M
NCI NIH HHS P50 CA196516NCI NIH HHS R01 CA154475
6 · The paper itself

Abstract

Despite the successful application of Imaging Reporting and Data Systems to improve the radiologic description and management of disease in many organs, one does not yet exist for the kidney. Instead, the radiologic approach to the kidney has focused on the Bosniak classification system, which is based on imaging characteristics for cystic renal masses, and detecting macroscopic fat within solid renal masses. Radiologically, cystic and solid renal masses are categorized and evaluated separately because of historical precedent, differences in appearance at imaging, and differences in biologic behavior. However, the World Health Organization classification of renal neoplasms does not support such separation. Further, the primary goal has been cancer diagnosis. Differentiating benign from malignant masses is important, but data show that many renal cancers, particularly when small, will not cause harm. Therefore, a critical goal of any unifying, single, imaging-based classification of kidney masses (ie, a Kidney Imaging Reporting and Data System) should be predicting the biologic behavior or aggressiveness of suspected kidney cancer. This system could inform the need for treatment or active surveillance and reduce prevalent overdiagnosis and overtreatment. This review describes the rationale for and challenges in creating such a system and the research needed for it to be developed.

Indexed as

Kidney NeoplasmsRadiology Information SystemsDiagnosis, DifferentialEvidence-Based MedicineHumans

Identifiers

PMID40100027
PMCPMC11950888

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.