Evidence map›Paper›PMID 40104982›Full record

ArticleJournal of breast imaging2025

Time to Enhancement Measured From Ultrafast Dynamic Contrast-Enhanced MRI for Improved Breast Lesion Diagnosis.

Yun An Chen, Anum S Kazerouni, Matthew D Phelps, Daniel S Hippe, Inyoung Youn, Janie M Lee, Savannah C Partridge, Habib Rahbar

Abstract read
In one paragraph

Article in Journal of breast imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yun An ChenDepartment of Radiology, University of Washington, Seattle, WA, USA.
Anum S KazerouniDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-4200-534X
Matthew D PhelpsDepartment of Radiology, University of Washington, Seattle, WA, USA.
Daniel S HippeClinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID 0000-0003-2427-4404
Inyoung YounDepartment of Radiology, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Janie M LeeDepartment of Radiology, University of Washington, Seattle, WA, USA.
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, WA, USA.
Habib RahbarDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID 0000-0003-4835-1478

Funding

Validation and Standardization of the Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker in Breast CancerR01CA207290 · NCI · UNIVERSITY OF WASHINGTON · PI PARTRIDGE, SAVANNAH CORRINA · 2017 to 2022
$2.2M
MRI Characterization of Biological Risk of Ductal Carcinoma in SituR01CA203883 · NCI · UNIVERSITY OF WASHINGTON · PI RAHBAR, HABIBOLLAH · 2017 to 2021
$1.8M
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
NCI NIH HHS K99 CA293004NCI NIH HHS R01 CA203883NCI NIH HHS R01 CA207290
6 · The paper itself

Abstract

objectiveBreast MRI affords high sensitivity with intermediate specificity for cancer detection. Ultrafast dynamic contrast-enhanced (DCE) MRI assesses early contrast inflow with potential to supplement or replace conventional DCE-MRI kinetic features. We sought to determine whether radiologist's evaluation of ultrafast DCE-MRI can increase specificity of a clinical MRI protocol.

methodsIn this IRB-approved, HIPAA-compliant study, breast MRIs from March 2019 to August 2020 with a BI-RADS category 3, 4, or 5 lesion were identified. Ultrafast DCE-MRI was acquired during the first 40 seconds after contrast injection and before conventional DCE-MRI postcontrast acquisitions in the clinical breast MRI protocol. Three radiologists masked to outcomes retrospectively determined lesion time to enhancement (TTE) on ultrafast DCE-MRI. Interreader agreement, differences between benign and malignant lesion TTE, and TTE diagnostic performance were evaluated.

resultsNinety-five lesions (20 malignant, 75 benign) were included. Interreader agreement in TTE was moderate to substantial for both ultrafast source images and subtraction maximum intensity projections (overall κ = 0.63). Time to enhancement was greater across benign lesions compared with malignancies (P <.05), and all lesions demonstrating no enhancement during the ultrafast series were benign. With a threshold TTE ≥40 seconds, ultrafast DCE-MRI yielded an average 40% specificity (95% CI, 30%-48%) and 92% sensitivity (95% CI, 81%-100%), yielding a potential reduction in 31% (95% CI, 23%-39%) of benign follow-ups based on conventional DCE-MRI.

conclusionUltrafast imaging can be added to conventional DCE-MRI to increase diagnostic accuracy while adding minimal scan time. Future work to standardize evaluation criteria may improve interreader agreement and allow for more robust ultrafast DCE-MRI assessment.

Indexed as

Breast NeoplasmsContrast MediaImage EnhancementMagnetic Resonance ImagingAdultAgedBreastFemaleHumansMiddle AgedRetrospective StudiesSensitivity and SpecificityTime FactorsContrast Mediabreast cancerbreast MRIscreeningultrafast imaging

Identifiers

PMID40104982
PMCPMC12403217

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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.