Evidence map›Paper›PMID 38353905›Full record

ReviewInsights into imaging2024

O-RADS MRI risk stratification system: pearls and pitfalls.

Stephanie Nougaret, Leo Razakamanantsoa, Elizabeth A Sadowski, Erica B Stein, Yulia Lakhman, Nicole M Hindman, Aurelie Jalaguier-Coudray, Andrea G Rockall, Isabelle Thomassin-Naggara

Open access · goldAbstract readReview
In one paragraph

Review in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Guideline
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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

9 authors at 8 institutions in 3 countries.

Stephanie NougaretDepartment of Radiology, Montpellier Cancer Institute, Montpellier, France. stephanienougaret@free.fr.ORCID http://orcid.org/0000-0002-6398-8648
Leo RazakamanantsoaSorbonne Université, INSERM UMR S 938 (CRSA - 75012), Assistance Publique des Hôpitaux de Paris, Hopital Tenon, Service IRIS, Paris, France.
Elizabeth A SadowskiDepartments of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI, 53792-3252, USA.
Erica B SteinDepartment of Radiology, University of Michigan Health System, 1500 E. Medical Center Drive UH B1 D502, Ann Arbor, MI, 48109-5030, USA.
Yulia LakhmanDepartments of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
Nicole M HindmanNew York University School of Medicine, 660 First Avenue, New York, NY, 10016, USA.
Aurelie Jalaguier-CoudrayDepartments of Radiology, Institut Paoli Calmettes and CRCM, Aix Marseille Université, , 13009, Marseille, France.
Andrea G RockallDivision of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK.
Isabelle Thomassin-NaggaraSorbonne Université, INSERM UMR S 938 (CRSA - 75012), Assistance Publique des Hôpitaux de Paris, Hopital Tenon, Service IRIS, Paris, France.
Inserm · FRAix-Marseille Université · FRHammersmith Hospital · GBInstitut de Recherche en Cancérologie de Montpellier · FRMemorial Sloan Kettering Cancer Center · USNew York University · USUniversity of Michigan · USUniversity of Wisconsin–Madison · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

In 2021, the American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) MRI Committee developed a risk stratification system and lexicon for assessing adnexal lesions using MRI. Like the BI-RADS classification, O-RADS MRI provides a standardized language for communication between radiologists and clinicians. It is essential for radiologists to be familiar with the O-RADS algorithmic approach to avoid misclassifications. Training, like that offered by International Ovarian Tumor Analysis (IOTA), is essential to ensure accurate and consistent application of the O-RADS MRI system. Tools such as the O-RADS MRI calculator aim to ensure an algorithmic approach. This review highlights the key teaching points, pearls, and pitfalls when using the O-RADS MRI risk stratification system.Critical relevance statement This article highlights the pearls and pitfalls of using the O-RADS MRI scoring system in clinical practice.Key points• Solid tissue is described as displaying post- contrast enhancement.• Endosalpingeal folds, fimbriated end of the tube, smooth wall, or septa are not solid tissue.• Low-risk TIC has no shoulder or plateau. An intermediate-risk TIC has a shoulder and plateau, though the shoulder is less steep compared to outer myometrium.

Indexed as

MRIO-RADSOvarian lesionStratification

Identifiers

PMID38353905
PMCPMC10866854
OpenAlexW4391818416

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.