Evidence map›Paper›PMID 41077903›Full record

ArticleMagnetic resonance in medicine2026

Pharmacokinetic modeling strategies for dynamic hyperpolarized urea imaging.

Keith A Michel, Collin J Harlan, Christopher M Walker, Matthew E Merritt, Yunyun Chen, Stephen Y Lai, James A Bankson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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. Article
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.

Keith A MichelDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-4330-6881
Collin J HarlanDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-9424-1857
Christopher M WalkerDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-6381-8737
Matthew E MerrittDepartment of Biochemistry and Molecular Biology, The University of Florida, Gainesville, Florida, USA.
Yunyun ChenDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Stephen Y LaiDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
James A BanksonDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Leveraging Hyperpolarized MRI for Precision Oncology Approaches in Head and Neck CancerR01CA280980 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BANKSON, JAMES A, LAI, STEPHEN Y · 2022 to 2025
$3.3M
Multi-Site Development & Evaluation of a Quantitative 3D Hyperpolarized C-13 MRI Clinical Prostate Cancer ExamR01CA211150 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BANKSON, JAMES A · 2017 to 2021
$3.2M
Interdisciplinary Translational Pre/Postdoctoral Program in Cancer NanotechnologyT32CA196561 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Gang Bao, Konstantin V Sokolov · 2015 to 2026
$3.0M
Imaging Hepatic Gluconeogenesis with Hyperpolarized DihydroxyacetoneR01DK105346 · NIDDK · UNIVERSITY OF FLORIDA · PI MERRITT, MATTHEW E · 2016 to 2020
$1.7M
Cancer Prevention and Research Institute of Texas RP170366GE HealthcareNCI NIH HHS P30 CA016672NCI NIH HHS P30-CA016672NCI NIH HHS R01 CA211150NCI NIH HHS R01-CA211150NCI NIH HHS R01 CA280980NCI NIH HHS R01-CA280980, P30-CA016672NCI NIH HHS T32 CA196561NIDDK NIH HHS R01 DK105346NIDDK NIH HHS R01-DK105346
6 · The paper itself

Abstract

purposeTo evaluate pharmacokinetic modeling methods for quantification of tissue perfusion/permeability with hyperpolarized

methodsThree models for quantitative analysis of dynamic HP urea imaging data were proposed and evaluated in numerical simulations and a thyroid cancer mouse model. A multicompartment model resembling the extended Tofts model for DCE-MRI (Model I) and two simplified models were used. The simplified models each eliminate a volume parameter representing vascular (Model II) or impermeable cellular space (Model III). Signal curves were generated from Model I, and models were fit to these synthetic data to quantify the effects of acquisition settings, bias in simplified models, and noise.

resultsFor Model I, reproducible and accurate results from snapshot imaging occurred at excitation angles of roughly 10 to 40 degrees, with wider ranges of good performance at longer TRs. Models II and III exhibited bias in estimation of the trans-capillary transfer rate constant (k

conclusionOur results demonstrate the feasibility and relative performance of pharmacokinetic models for HP urea for quantification of tissue permeability and perfusion.

Indexed as

Models, BiologicalThyroid NeoplasmsUreaAnimalsCarbon IsotopesComputer SimulationMagnetic Resonance ImagingMaleMiceMice, NudePerfusionCarbon IsotopesUreahyperpolarized MRpharmacokinetic modelingurea

Identifiers

PMID41077903
PMCPMC12746374

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Registered trials

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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.