Evidence map›Paper›PMID 30659696›Full record

ReviewJournal of magnetic resonance imaging : JMRI2019

Contrast-enhanced MRI for breast cancer screening.

Ritse M Mann, Christiane K Kuhl, Linda Moy

Registry-linked trialAbstract readReview
In one paragraph

Review 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. It is linked to trial NCT07598084 (Artificial Intelligence Solution for Simplifying the Diagnostic Workflow of Breast MRI), which is not on this map. Cited by 156 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 7 pooled it
–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.

NCT07598084 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Artificial Intelligence Solution for Simplifying the Diagnostic Workflow of Breast MRI: Development and Clinical Validation of a Diffusion-Weighted Imaging-Based Synthetic Contrast-Enhanced MRI System for Non-Contrast Breast Cancer Diagnosis and Risk Stratification

TypeobservationalSponsorPeking University People's HospitalRan2026 to 2027Enrolled12,000ConditionsBreast Neoplasms, Artificial Intelligence (AI), Magnetic Resonance Imaging (MRI), Diffusion Magnetic Resonance ImagingArmsNon-contrast breast MRI diagnostic model
3 · Its place in the literature

Who cites it

156 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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96 more citing papers are in PubMed but not listed here.

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

3 authors.

Ritse M MannDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Christiane K KuhlDepartment of Diagnostic and Interventional Radiology, University of Aachen, Aachen, Germany.
Linda MoyCenter for Advanced Imaging Innovation and Research / Department of Radiology, Laura and Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple studies in the first decade of the 21

Indexed as

Contrast MediaBreastBreast NeoplasmsFemaleHumansImage EnhancementMagnetic Resonance ImagingContrast Mediabreast cancermammographyMRIscreening

Identifiers

PMID30659696
PMCPMC6767440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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.