Evidence map›Paper›PMID 41895351›Full record

ArticleMagnetic resonance imaging2026

Population arterial input function measured from low dose breast ultrafast dynamic contrast enhanced MRI and fitted with a new mathematic model.

Xiaobing Fan, Zhen Ren, Hiroyuki Abe, Kirti Kulkarni, Olufunmilayo I Olopade, Gregory S Karczmar

Abstract read
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Article in Magnetic resonance imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaobing FanDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA. Electronic address: xfan@uchicago.edu.
Zhen RenDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.
Hiroyuki AbeDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.
Kirti KulkarniDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.
Olufunmilayo I OlopadeDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.
Gregory S KarczmarDepartment of Radiology, University of Chicago, Chicago, IL 60637, USA.

Funding

The Funding Mechanism of the Pilot TrialR01CA276652 · NCI · UNIVERSITY OF CHICAGO · PI Hiroyuki Abe, Gregory S. Karczmar · 2023 to 2026
$5.0M
NCI NIH HHS R01 CA276652
6 · The paper itself

Abstract

purposeTo introduce a method for measuring an arterial input function (AIF) from breast ultrafast dynamic contrast enhanced (DCE) MRI with a very low dose (15% of standard dose) of contrast media, and fit it with a new empirical mathematical model (EMM) to produce a population AIF.

methodsTotal 18 patients were enrolled in this study. Axial DCE-MRI data were acquired on a Philips 3-Tesla scanner using a standard 16-element breast coil with a temporal resolution of 1.6 s/image. The AIF was extracted from the descending aorta in four steps by eliminating pixels that did not satisfy specific criteria. The final AIF was averaged from five connected slices and fitted with a new eight-parameter EMM-AIF. Additionally, the EMM-AIF was used to fit Parker's population AIF calculated by using the average parameter values.

resultsThe AIF can be accurately extracted from breast DCE-MRI using our method. The EMM-AIF accurately fits the extracted AIF for both the 1st and 2nd passes of the contrast agent bolus. The EMM-AIF accurately fits Parker's population AIF. Our low dose AIF has significantly (p < 0.01) higher uptake slope, narrower full width at half maximum of the 1st pass, and lower ratio between the peak heights of the 1st and 2nd pass than Parker's AIF.

conclusionOur method to extract AIF can be easily implemented for breast DCE-MRI data. The eight-parameter EMM-AIF introduced here can be used to fit the low dose AIF. Our population AIF can be easily scaled and applied to general pharmacokinetic analysis.

Indexed as

BreastBreast NeoplasmsContrast MediaDynamic Contrast Enhanced Magnetic Resonance ImagingMagnetic Resonance ImagingAdultAgedAlgorithmsFemaleHumansMiddle AgedModels, TheoreticalReproducibility of ResultsContrast MediaArterial input functionsBreast DCE-MRIEmpirical mathematical modelPharmacokinetic model

Identifiers

PMID41895351
PMCPMC13051399

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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.