Evidence map›Paper›PMID 42536267›Full record

ReviewMolecular imaging and biology2026

Toward a Structured Imaging Reporting System for Kidney Masses: The Molecular Imaging Perspective on KI-RADS.

Wonkyu P Choi, Md Zobaer Islam, Louis J Mazzarelli, Lilja B Solnes, Brian Shuch, Benjamin L Viglianti, Michael C Repka, Asim Afaq, Rudolf A Werner, Michael A Gorin and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology, 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

11 authors.

Wonkyu P ChoiThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Md Zobaer IslamDepartment of Radiology, University of Texas Southwestern Medical Center, 5939 Harry Hines Blvd, Dallas, TX, 75390, USA.
Louis J MazzarelliDepartment of Radiology, Yale New Haven Health, New Haven, CT, USA.
Lilja B SolnesDepartment of Radiology, University of Texas Southwestern Medical Center, 5939 Harry Hines Blvd, Dallas, TX, 75390, USA.
Brian ShuchDepartment of Urology, University of California, Los Angeles, CA, USA.
Benjamin L VigliantiDepartment of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA.
Michael C RepkaDepartment of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Asim AfaqDepartment of Radiology, University of Texas Southwestern Medical Center, 5939 Harry Hines Blvd, Dallas, TX, 75390, USA.
Rudolf A WernerThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Michael A GorinMilton and Carroll Petrie Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Steven P RoweDepartment of Radiology, University of Texas Southwestern Medical Center, 5939 Harry Hines Blvd, Dallas, TX, 75390, USA. Steven.Rowe@UTSouthwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, a structured approach to renal mass characterization known as the Kidney Imaging Reporting and Data System (KI-RADS) was proposed. In that proposal, the authors noted the need for imaging characteristics to be rooted in the biological underpinnings of the tumors in order to optimally risk stratify patients with indeterminate renal masses. Although multi-parametric magnetic resonance imaging may be an important initial modality for locoregional staging and lesion characterization, molecular imaging may provide more fundamental biological insight. To date, the mitochondrial imaging agent

Indexed as

KI-RADSMolecular imagingRCCRenal massSestamibi

Identifiers

PMID42536267

What OpenQuestion holds

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Registered trials

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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.