Evidence map›Paper›PMID 32770377›Full record

ArticleEuropean radiology2021

Prospective performance of clear cell likelihood scores (ccLS) in renal masses evaluated with multiparametric magnetic resonance imaging.

Ryan L Steinberg, Robert G Rasmussen, Brett A Johnson, Rashed Ghandour, Alberto Diaz De Leon, Yin Xi, Takeshi Yokoo, Sandy Kim, Payal Kapur, Jeffrey A Cadeddu and 1 more

Open access · greenAbstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 3% of its field
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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pre-operative imaging evaluation of renal cell carcinoma.Revista da Associacao Medica Brasileira (1992) · 2024
    Guideline
  2. Pooled it
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  12. Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  13. Review
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  15. Article
  16. Imaging in Renal Cell Carcinoma Detection.Diagnostics (Basel, Switzerland) · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Ryan L SteinbergDepartment of Urology, University of Texas Southwestern, Dallas, TX, USA.
Robert G RasmussenDepartment of Radiology, University of Texas Southwestern, NE6.216, 5323 Harry Hines Blvd, MC 9085, Dallas, TX, 75390, USA.
Brett A JohnsonDepartment of Urology, University of Texas Southwestern, Dallas, TX, USA.
Rashed GhandourDepartment of Urology, University of Texas Southwestern, Dallas, TX, USA.
Alberto Diaz De LeonDepartment of Radiology, University of Texas Southwestern, NE6.216, 5323 Harry Hines Blvd, MC 9085, Dallas, TX, 75390, USA.
Yin XiDepartment of Radiology, University of Texas Southwestern, NE6.216, 5323 Harry Hines Blvd, MC 9085, Dallas, TX, 75390, USA.
Takeshi YokooDepartment of Radiology, University of Texas Southwestern, NE6.216, 5323 Harry Hines Blvd, MC 9085, Dallas, TX, 75390, USA.
Sandy KimUniversity of Texas Southwestern Medical School, Dallas, TX, USA.
Payal KapurDepartment of Urology, University of Texas Southwestern, Dallas, TX, USA.
Jeffrey A CadedduDepartment of Urology, University of Texas Southwestern, Dallas, TX, USA.
Ivan PedrosaDepartment of Urology, University of Texas Southwestern, Dallas, TX, USA. Ivan.Pedrosa@UTSouthwestern.edu.ORCID http://orcid.org/0000-0002-0371-8689
The University of Texas Southwestern Medical Center · USAdvanced Imaging Research (United States) · USSouthwestern Medical Center · US

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
Quantitative Non-Contrast Perfusion using Arterial Spin Labeling for Assessment of Cancer Therapy ResponseU01CA207091 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MADHURANTHAKAM, ANANTH J, MALDJIAN, JOSEPH A · 2017 to 2022
$3.1M
Training Clinician Scientists as Outstanding Clinicians and Imaging ScientistsT32EB028093 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI ROBERT F MATTREY, Takeshi Yokoo · 2019 to 2026
$1.5M
NCI NIH HHS 5RO1CA154475NCI NIH HHS P50 CA196516NCI NIH HHS P50CA196516NCI NIH HHS R01 CA154475NCI NIH HHS U01 CA207091NCI NIH HHS U01CA207091NIBIB NIH HHS T32 EB028093
6 · The paper itself

Abstract

objectivesSolid renal masses have unknown malignant potential with commonly utilized imaging. Biopsy can offer a diagnosis of cancer but has a high non-diagnostic rate and complications. Reported use of multiparametric magnetic resonance imaging (mpMRI) to diagnose aggressive histology (i.e., clear cell renal cell carcinoma (ccRCC)) via a clear cell likelihood score (ccLS) was based on retrospective review of cT1a tumors. We aim to retrospectively assess the diagnostic performance of ccLS prospectively assigned to renal masses of all stages evaluated with mpMRI prior to histopathologic evaluation.

methodsIn this retrospective cohort study from June 2016 to November 2019, 434 patients with 454 renal masses from 2 institutions with heterogenous patient populations underwent mpMRI with prospective ccLS assignment and had pathologic diagnosis. ccLS performance was assessed by contingency table analysis. The association between ccLS and ccRCC was assessed with logistic regression.

resultsMean age and tumor size were 60 ± 13 years and 5.4 ± 3.8 cm. Characteristics were similar between institutions except for patient age and race (both p < 0.001) and lesion laterality and histology (both p = 0.04). The PPV of ccLS increased with each increment in ccLS (ccLS1 5% [3/55], ccLS2 6% [3/47], ccLS3 35% [20/57], ccLS4 78% [85/109], ccLS5 93% [173/186]). Pooled analysis for ccRCC diagnosis revealed sensitivity 91% (258/284), PPV 87% (258/295) for ccLS ≥ 4, and specificity 56% (96/170), NPV 94% (96/102) for ccLS ≤ 2. Diagnostic performance was similar between institutions.

conclusionsWe confirm the optimal diagnostic performance of mpMRI to identify ccRCC in all clinical stages. High PPV and NPV of ccLS can help inform clinical management decision-making. KEY POINTS: • The positive predictive value of the clear cell likelihood score (ccLS) for detecting clear cell renal cell carcinoma was 5% (ccLS1), 6% (ccLS2), 35% (ccLS3), 78% (ccLS4), and 93% (ccLS5). Sensitivity of ccLS ≥ 4 and specificity of ccLS ≤ 2 were 91% and 56%, respectively. • When controlling for confounding variables, ccLS is an independent risk factor for identifying clear cell renal cell carcinoma. • Utilization of the ccLS can help guide clinical care, including the decision for renal mass biopsy, reducing the morbidity and risk to patients.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMultiparametric Magnetic Resonance ImagingProstatic NeoplasmsHumansMagnetic Resonance ImagingMaleProspective StudiesRetrospective StudiesCarcinomaDiagnostic imagingKidney neoplasmsMultiparametric magnetic resonance imagingRenal cell

Identifiers

PMID32770377
PMCPMC7755825
OpenAlexW3047810719

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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.