Evidence map›Paper›PMID 33863924›Full record

ArticleNPJ breast cancer2021

Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis.

Jennifer Xiao, Habib Rahbar, Daniel S Hippe, Mara H Rendi, Elizabeth U Parker, Neal Shekar, Michael Hirano, Kevin J Cheung, Savannah C Partridge

Abstract read
In one paragraph

Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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  6. European journal of nuclear medicine and molecular imaging · 2026
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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.

Jennifer XiaoDepartment of Radiology, University of Washington, Seattle, WA, USA.
Habib RahbarDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-4835-1478
Daniel S HippeDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2427-4404
Mara H RendiDepartment of Pathology, University of Washington, Seattle, WA, USA.
Elizabeth U ParkerDepartment of Pathology, University of Washington, Seattle, WA, USA.
Neal ShekarDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-4655-4629
Michael HiranoDepartment of Radiology, University of Washington, Seattle, WA, USA.
Kevin J CheungDepartment of Medicine, Division of Medical Oncology, University of Washington, Seattle, WA, USA.
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, WA, USA. scp3@uw.edu.ORCID http://orcid.org/0000-0001-6370-9111

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Multicenter Quantitative MRI Assessment of Breast Cancer Therapy ResponseR01CA248192 · NCI · WILLIAM BEAUMONT HOSPITAL RESEARCH INST · PI WEI HUANG, James H Holmes · 2021 to 2026
$2.8M
MRI Characterization of Biological Risk of Ductal Carcinoma in SituR01CA203883 · NCI · UNIVERSITY OF WASHINGTON · PI RAHBAR, HABIBOLLAH · 2017 to 2021
$1.8M
NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA203883NCI NIH HHS R01 CA248192U.S. Department of Defense (United States Department of Defense) W81XWH-18-1-0098
6 · The paper itself

Abstract

Angiogenesis is a critical component of breast cancer development, and identification of imaging-based angiogenesis assays has prognostic and treatment implications. We evaluated the association of semi-quantitative kinetic and radiomic breast cancer features on dynamic contrast-enhanced (DCE)-MRI with microvessel density (MVD), a marker for angiogenesis. Invasive breast cancer kinetic features (initial peak percent enhancement [PE], signal enhancement ratio [SER], functional tumor volume [FTV], and washout fraction [WF]), radiomics features (108 total features reflecting tumor morphology, signal intensity, and texture), and MVD (by histologic CD31 immunostaining) were measured in 27 patients (1/2016-7/2017). Lesions with high MVD levels demonstrated higher peak SER than lesions with low MVD (mean: 1.94 vs. 1.61, area under the receiver operating characteristic curve [AUC] = 0.79, p = 0.009) and higher WF (mean: 50.6% vs. 22.5%, AUC = 0.87, p = 0.001). Several radiomics texture features were also promising for predicting increased MVD (maximum AUC = 0.84, p = 0.002). Our study suggests DCE-MRI can non-invasively assess breast cancer angiogenesis, which could stratify biology and optimize treatments.

Identifiers

PMID33863924
PMCPMC8052427

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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.