Evidence map›Paper›PMID 39963732›Full record

ArticleMagnetic resonance in medicine2025

A data-driven approach for improved quantification of in vivo metabolic conversion rates of hyperpolarized [1-

Yaewon Kim, Tanner M Nickles, Philip M Lee, Robert A Bok, Jeremy W Gordon, Peder E Z Larson, Daniel B Vigneron, Cornelius von Morze, Michael A Ohliger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Yaewon KimDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-1016-1572
Tanner M NicklesDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-4322-2431
Philip M LeeDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Robert A BokDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Jeremy W GordonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-2760-4886
Peder E Z LarsonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-4183-3634
Daniel B VigneronDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Cornelius von MorzeMallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-3992-1793
Michael A OhligerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-6878-8189

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Daniel B Vigneron · 2011 to 2026
$19.9M
Supplement for Development and Translation of Specialized Hyperpolarized C-13 MRI Methods for Alzheimer's DiseaseU01EB026412 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORDON, JEREMY WILLIAM, VIGNERON, DANIEL B · 2019 to 2023
$6.6M
Measuring Metabolic Activity in Prostate Cancer Bone Metastases Using Hyperpolarized 13C Pyruvate MRI for Improved Targeted Therapy MonitoringR01CA256740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGGARWAL, RAHUL, VIGNERON, DANIEL B · 2021 to 2025
$3.3M
Hyperpolarized C-13 MRI Techniques to Monitor Radiation Therapy Response in Prostate Cancer PatientsR01CA238379 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOK, ROBERT A, VIGNERON, DANIEL B · 2021 to 2025
$3.3M
Hyperpolarized C-13 MRI for Early Detection of Aggressive Prostate Cancer in Active Surveillance PatientsU01CA232320 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOK, ROBERT A, VIGNERON, DANIEL B · 2019 to 2023
$3.2M
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor AggressivenessR01CA249909 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARSON, PEDER ERIC ZUFALL, WANG, ZHEN JANE · 2021 to 2025
$3.2M
Hyperpolarized 13C MRI of Cardiac Metabolic Remodeling in Heart DiseaseR01HL171992 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Maria Roselle Abraham, Peder Eric Zufall Larson · 2024 to 2026
$2.4M
Novel hyperpolarized 13C molecular imaging techniques for differentiating NAFLD and NASHR01DK115987 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OHLIGER, MICHAEL, VON MORZE, CORNELIUS · 2018 to 2022
$2.1M
Translating Hyperpolarized 13C MRI as a Novel Tool to Predict Treatment Response in Pancreatic CancerR01CA280071 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jeremy William Gordon, Zhen Jane Wang · 2024 to 2026
$2.0M
Upgrade of an Obsolete 3.35T DNP Polarizer to enable new HP C-13 Technology DevelopmentS10OD025077 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VIGNERON, DANIEL B · 2020 to 2020
$1.7M
Hyperpolarized Carbon-13 Metabolic MRI of the Human HeartR33HL161816 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABRAHAM, MARIA ROSELLE, LARSON, PEDER ERIC ZUFALL · 2022 to 2023
$965k
NCI NIH HHS R01 CA238379NCI NIH HHS R01 CA249909NCI NIH HHS R01 CA256740NCI NIH HHS R01 CA280071NCI NIH HHS U01 CA232320NHLBI NIH HHS R01 HL171992NHLBI NIH HHS R33 HL161816NIBIB NIH HHS P41 EB013598NIBIB NIH HHS U01 EB026412NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK115987NIH HHS P41EB013598NIH HHS R01CA238379NIH HHS R01CA249909NIH HHS R01CA256740NIH HHS R01CA280071NIH HHS R01DK115987NIH HHS R33HL161816NIH HHS S10 OD025077NIH HHS S10OD025077NIH HHS U01EB026412
6 · The paper itself

Abstract

purposeAccurate quantification of metabolism in hyperpolarized (HP)

methodsA data-driven kinetic fitting approach for HP

resultsSimulations showed that the proposed method reduced k

conclusionThe proposed data-driven kinetic fitting approach provided a method to accurately quantify HP

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingPyruvic AcidAlgorithmsAnimalsCarbon IsotopesComputer SimulationKidneyKineticsLactic AcidLiverMaleRatsRats, Sprague-DawleyCarbon-13Carbon IsotopesLactic AcidPyruvic Acidflip angle correctionhyerpolarized C‐13 pyruvatemetabolic conversion analysismetabolic imaging

Identifiers

PMID39963732
PMCPMC11971488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.