Evidence map›Paper›PMID 30693607›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

Renal and adrenal masses containing fat at MRI: Proposed nomenclature by the society of abdominal radiology disease-focused panel on renal cell carcinoma.

Nicola Schieda, Matthew S Davenport, Ivan Pedrosa, Atul Shinagare, Hersch Chandarana, Nicole Curci, Ankur Doshi, Gary Israel, Erick Remer, Jane Wang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Fat-only Dixon: how to use it in body MRI.Abdominal radiology (New York) · 2022
    Article
  11. Review
  12. Article
  13. Update on MRI of Cystic Renal Masses Including Bosniak Version 2019.Journal of magnetic resonance imaging : JMRI · 2021
    Review
  14. Article
  15. 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

11 authors at 8 institutions in 2 countries.

Nicola SchiedaDepartment of Medical Imaging, From the University of Ottawa, Ottawa Hospital, Ottawa, Ontario, Canada.
Matthew S DavenportDepartment of Radiology, Michigan University, Ann Arbor, Michigan, USA.
Ivan PedrosaDepartment of Radiology, UT Southwestern, Dallas, Texas, USA.
Atul ShinagareDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Hersch ChandaranaDepartment of Radiology, NYU School of Medicine, New York, New York, USA.
Nicole CurciDepartment of Radiology, Michigan University, Ann Arbor, Michigan, USA.
Ankur DoshiDepartment of Radiology, NYU School of Medicine, New York, New York, USA.
Gary IsraelDepartment of Radiology, Yale University, New Haven, Connecticut, USA.
Erick RemerDepartment Radiology and Diagnostic Imaging, Cleveland Clinic, Cleveland, Ohio, USA.
Jane WangDepartment of Radiology, UCSF, San Francisco, California, USA.
Stuart G SilvermanDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Brigham and Women's Hospital · USNew York University · USUniversity of Michigan · USCleveland Clinic · USSouthwestern Medical Center · USUniversity of California, San Francisco · USUniversity of Ottawa · CAYale University · US

Funding

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 R01 CA154475
6 · The paper itself

Abstract

This article proposes a consensus nomenclature for fat-containing renal and adrenal masses at MRI to reduce variability, improve understanding, and enhance communication when describing imaging findings. The MRI appearance of "macroscopic fat" occurs due to a sufficient number of aggregated adipocytes and results in one or more of: 1) intratumoral signal intensity (SI) loss using fat-suppression techniques, or 2) chemical shift artifact of the second kind causing linear or curvilinear India-ink (etching) artifact within or at the periphery of a mass at macroscopic fat-water interfaces. "Macroscopic fat" is most commonly observed in adrenal myelolipoma and renal angiomyolipoma (AML) and only rarely encountered in other adrenal cortical tumors and renal cell carcinomas (RCC). Nonlinear noncurvilinear signal intensity loss on opposed-phase (OP) compared with in-phase (IP) chemical shift MRI (CSI) may be referred to as "microscopic fat" and is due to: a) an insufficient amount of adipocytes, or b) the presence of fat within tumor cells. Determining whether the signal intensity loss observed on CSI is due to insufficient adipocytes or fat within tumor cells cannot be accomplished using CSI alone; however, it can be inferred when other imaging features strongly suggest a particular diagnosis. Fat-poor AML are homogeneously hypointense on T

Indexed as

AdipocytesAdipose TissueAdrenal Gland NeoplasmsAdultAlgorithmsAngiomyolipomaArtifactsCarbonCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedRadiologyCarbonchinese inkadrenalcarcinomafatlipidmagnetic resonance imagingMRIrenal

Identifiers

PMID30693607
PMCPMC6980339
OpenAlexW2913143244

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.