Evidence map›Paper›PMID 38775035›Full record

ArticleMagnetic resonance in medicine2024

A pharmacokinetic model for hyperpolarized

Sule Sahin, Marie Frederikke Garnæs, Anna Bennett, Nicholas Dwork, Shuyu Tang, Xiaoxi Liu, Manushka Vaidya, Zhen Jane Wang, Peder E Z Larson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2024. 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.

Sule SahinUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California, USA.ORCID 0000-0002-7006-4793
Marie Frederikke GarnæsDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
Anna BennettRadiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Nicholas DworkBiomedical Informatics and Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-9838-4772
Shuyu TangVista.ai, Palo Alto, California, USA.ORCID 0000-0002-9911-482X
Xiaoxi LiuRadiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID 0000-0003-0657-8922
Manushka VaidyaRadiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID 0000-0002-1473-2590
Zhen Jane WangRadiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Peder E Z LarsonUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, California, USA.ORCID 0000-0003-4183-3634

Funding

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
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
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
Hyperpolarized 13C Metabolic MRI for Noninvasive Monitoring of Kidney InjuryR21DK130002 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARSON, PEDER ERIC ZUFALL, WANG, ZHEN JANE · 2021 to 2022
$444k
American Cancer Society RSG-18-005-01-CCEDanmarks Grundforskningsfond DNRF124NCI NIH HHS R01 CA249909NHLBI NIH HHS R33 HL161816NIBIB NIH HHS P41 EB013598NIDDK NIH HHS R21 DK130002NIH HHS P41EB013598NIH HHS R01CA249909NIH HHS R21DK130002NIH HHS R33HL161816NIH HHS S10 OD025077NIH HHS S10OD025077
6 · The paper itself

Abstract

purposeMetabolite-specific balanced SSFP (MS-bSSFP) sequences are increasingly used in hyperpolarized [1-

methodsIn this work, a flexible MS-bSSFP model was built that can be used to fit conversion rate constants for these experiments. The model was validated in vivo using paired animal (healthy rat kidneys n = 8, transgenic adenocarcinoma of the mouse prostate n = 3) and human renal cell carcinoma (n = 3) datasets. Gradient echo (GRE) acquisitions were used with a previous GRE model to compare to the results of the proposed GRE-bSSFP model.

resultsWithin simulations, the proposed GRE-bSSFP model fits the simulated data well, whereas a GRE model shows bias because of model mismatch. For the in vivo datasets, the estimated conversion rate constants using the proposed GRE-bSSFP model are consistent with a previous GRE model. Jointly fitting the lactate T

conclusionThe proposed GRE-bSSFP model provides a method to estimate conversion rate constants, k

Indexed as

Carbon IsotopesMagnetic Resonance ImagingPyruvic AcidAlgorithmsAnimalsComputer SimulationHumansImage Processing, Computer-AssistedKidneyKidney NeoplasmsMaleMiceMice, TransgenicProstatic NeoplasmsRatsSignal-To-Noise RatioCarbon-13Carbon IsotopesPyruvic Acid13CbSSFPhyperpolarizedkPBkPLpharmacokinetic models

Identifiers

PMID38775035
PMCPMC11262974

What OpenQuestion holds

Textmetadata
LicenceTDM
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.