Evidence map›Paper›PMID 41671073›Full record

ReviewJournal of breast imaging2026

Establishing an Evidence-based Modern Breast MRI Program.

Marco G Aru, Habib Rahbar, Debosmita Biswas, Suleeporn Y Sujichantararat, Brian Dontchos, Savannah C Partridge, Anum S Kazerouni

Abstract readReview
In one paragraph

Review in Journal of breast imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

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

2 citing papers in PubMed.

  1. Review
  2. Review
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

7 authors.

Marco G AruDepartment of Radiology, University of Washington, Seattle, WA, USA.
Habib RahbarDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID 0000-0003-4835-1478
Debosmita BiswasDepartment of Radiology, University of Washington, Seattle, WA, USA.
Suleeporn Y SujichantararatDepartment of Radiology, University of Washington, Seattle, WA, USA.
Brian DontchosDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-2779-2218
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, WA, USA.
Anum S KazerouniDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-4200-534X

Funding

Fred Hutchinson Breast Cancer Clinical Validation CenterU01CA152637 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christopher I Li, Savannah Corrina Partridge · 2010 to 2026
$14.6M
Quantitative characterization of tumor heterogeneity using habitat imaging for the prediction of patient outcome in triple negative breast cancerK99CA293004 · NCI · UNIVERSITY OF WASHINGTON · PI KAZEROUNI, ANUM SYED · 2024 to 2025
$203k
Friends for an Earlier Breast Cancer TestNCI NIH HHS K99 CA293004NCI NIH HHS K99CA293004NCI NIH HHS U01 CA152637NCI NIH HHS U01CA152637
6 · The paper itself

Abstract

Breast MRI has evolved over the past several decades into a cornerstone of breast imaging. Historically, dynamic contrast-enhanced (DCE) MRI has served as the foundation of breast MRI protocols for differentiation of benign and malignant lesions and was supplemented by additional sequences to refine diagnostic accuracy. More recently, advanced techniques, such as diffusion-weighted MRI, ultrafast DCE-MRI, and deep learning models, have further expanded capabilities of breast MRI. These innovations, however, have also contributed to substantial variability in breast MRI protocols across institutions. At the same time, the expanding indications for screening and diagnostic breast MRI are driving higher patient volumes, creating operational challenges for breast imaging centers tasked with balancing efficiency, accuracy, and limited resources. This review outlines the key elements and considerations of modern breast imaging protocols, discusses strategies for protocol optimization, and explores emerging technologies and future trends that are shaping the next generation of breast imaging.

Indexed as

Breast NeoplasmsEvidence-Based MedicineMagnetic Resonance ImagingBreastContrast MediaDiffusion Magnetic Resonance ImagingDynamic Contrast Enhanced Magnetic Resonance ImagingFemaleHumansContrast Mediaabbreviated MRIartificial intelligencediffusion-weighted MRIscreeningultrafast dynamic contrast-enhanced MRI

Identifiers

PMID41671073
PMCPMC12900033

What Socratic 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 Socratic graph.