Evidence map›Paper›PMID 32144458›Full record

SynthesisEuropean radiology2020

Diagnostic test accuracy of ADC values for identification of clear cell renal cell carcinoma: systematic review and meta-analysis.

Mickael Tordjman, Rahul Mali, Guillaume Madelin, Vinay Prabhu, Stella K Kang

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Diffusion-Weighted MRI in the Genitourinary System.Journal of clinical medicine · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Imaging Characterization of Renal Masses.Medicina (Kaunas, Lithuania) · 2021
    Review
  11. Article
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

5 authors at 1 institution in 1 country.

Mickael TordjmanCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA. mickael_tordjman@hotmail.com.ORCID http://orcid.org/0000-0001-8212-7790
Rahul MaliCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Guillaume MadelinCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Vinay PrabhuCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Stella K KangCenter for Biomedical Imaging, Department of Radiology, New York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
New York University · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Arline Faustin · 2020 to 2026
$28.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
Patient-Centered Decision-Making for Management of Small Renal Tumors - SupplementK07CA197134 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KANG, STELLA · 2016 to 2021
$1.0M
Agence Régionale de Santé Ile de France (FR) NANCI NIH HHS K07 CA197134NCI NIH HHS K07CA197134NIA NIH HHS P30 AG066512NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

objectivesTo perform a systematic review on apparent diffusion coefficient (ADC) values of renal tumor subtypes and meta-analysis on the diagnostic performance of ADC for differentiation of localized clear cell renal cell carcinoma (ccRCC) from other renal tumor types.

methodsMedline, Embase, and the Cochrane Library databases were searched for studies published until May 1, 2019, that reported ADC values of renal tumors. Methodological quality was evaluated. For the meta-analysis on diagnostic test accuracy of ADC for differentiation of ccRCC from other renal lesions, we applied a bivariate random-effects model and compared two subgroups of ADC measurement with vs. without cystic and necrotic areas.

resultsWe included 48 studies (2588 lesions) in the systematic review and 13 studies (1126 lesions) in the meta-analysis. There was no significant difference in ADC of renal parenchyma using b values of 0-800 vs. 0-1000 (p = 0.08). ADC measured on selected portions (sADC) excluding cystic and necrotic areas differed significantly from whole-lesion ADC (wADC) (p = 0.002). Compared to ccRCC, minimal-fat angiomyolipoma, papillary RCC, and chromophobe RCC showed significantly lower sADC while oncocytoma exhibited higher sADC. Summary estimates of sensitivity and specificity to differentiate ccRCC from other tumors were 80% (95% CI, 0.76-0.88) and 78% (95% CI, 0.64-0.89), respectively, for sADC and 77% (95% CI, 0.59-0.90) and 77% (95% CI, 0.69-0.86) for wADC. sADC offered a higher area under the receiver operating characteristic curve than wADC (0.852 vs. 0.785, p = 0.02).

conclusionsADC values of kidney tumors that exclude cystic or necrotic areas more accurately differentiate ccRCC from other renal tumor types than whole-lesion ADC values. KEY POINTS: • Selective ADC of renal tumors, excluding cystic and necrotic areas, provides better discriminatory ability than whole-lesion ADC to differentiate clear cell RCC from other renal lesions, with area under the receiver operating characteristic curve (AUC) of 0.852 vs. 0.785, respectively (p = 0.02). • Selective ADC of renal masses provides moderate sensitivity and specificity of 80% and 78%, respectively, for differentiation of clear cell renal cell carcinoma (RCC) from papillary RCC, chromophobe RCC, oncocytoma, and minimal-fat angiomyolipoma. • Selective ADC excluding cystic and necrotic areas are preferable to whole-lesion ADC as an additional tool to multiphasic MRI to differentiate clear cell RCC from other renal lesions whether the highest b value is 800 or 1000.

Indexed as

Diffusion Magnetic Resonance ImagingAdenoma, OxyphilicAngiomyolipomaCarcinoma, PapillaryCarcinoma, Renal CellDiagnosis, DifferentialHumansKidney NeoplasmsROC CurveSensitivity and SpecificityClear cell renal cell carcinomaDiffusion weighted imagingKidney neoplasmsRenal cell carcinoma

Identifiers

PMID32144458
PMCPMC7315585
OpenAlexW3009463600

What OpenQuestion holds

Textmetadata
LicenceTDM
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.