Evidence map›Paper›PMID 31307015›Full record

ArticlePhysics in medicine and biology2019

Non-invasive determination of blood input function to compute rate of myocardial glucose uptake from dynamic FDG PET images of rat heart in vivo: comparative study between the inferior vena cava and the left ventricular blood pool with spill over and partial volume corrections.

Qiao Huang, James C Massey, Krzysztof Mińczuk, Jie Li, Bijoy K Kundu

Open access · greenAbstract readComparative Study
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Imaging Diverse Pathogenic Bacteria In Vivo withJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
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  7. International journal of molecular sciences · 2022
    Article
  8. Dynamic FDG-PET demonstration of functional brain abnormalities.Annals of clinical and translational neurology · 2022
    Review
  9. Advances in Preclinical PET.Seminars in nuclear medicine · 2022
    Review
  10. Article
  11. HPhysics in medicine and biology · 2021
    Article
  12. Article
  13. 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

5 authors at 2 institutions in 2 countries.

Qiao HuangDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States of America.
James C MasseyDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States of America.
Krzysztof MińczukDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States of America.
Jie LiDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States of America.
Bijoy K KunduDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States of America.
University of Virginia · USMedical University of Białystok · PL

Funding

Myocardial Metabolic Remodeling in Cardiac HypertrophyR01HL123627 · NHLBI · UNIVERSITY OF VIRGINIA · PI KUNDU, BIJOY K · 2015 to 2018
$1.9M
Trimodal PET/SPECT/CT Preclinical Scanner for Biomedical ResearchS10OD021672 · OD · UNIVERSITY OF VIRGINIA · PI BERR, STUART S. · 2016 to 2016
$1.2M
NHLBI NIH HHS R01 HL123627NIH HHS S10 OD021672
6 · The paper itself

Abstract

The purpose of this work was to compute blood input function from the inferior vena cava (IVC) with partial volume (PV) corrections and compare to that obtained from the left ventricular blood pool (LVBP) with spill-over (SP) and PV corrections. These were then used to compute and validate rates of myocardial 2-deoxy-2-[18F]fluoro-D-glucose (FDG) uptake (Ki) from dynamic positron emission tomography (PET) images of rat hearts in vivo in comparison to that obtained from invasive arterial blood sampling. Whole body 60 min dynamic FDG PET/CT imaging of n  =  8 control Wistar Kyoto (WKY) rats were performed using Albira trimodal PET/CT/SPECT scanner. Image derived blood input function (IDIF) obtained from IVC corrected for PV averaging (IVC-PV) and IDIF from the left ventricular blood pool (LVBP) with SP and PV corrections (LVBP-SP-PV) were computed. Next, computed Ki (indirect comparison) in a 5-parameter (using IVC-PV) and a 15-parameter (using LVBP-SP-PV) 3-compartment models in WKY rat hearts in vivo were compared to that obtained using arterial blood sampling reported in literature in control Spraque Dawley (SD) rats. Using IVC-PV in a three-compartment five-parameter model resulted in a ~46% deviation in the mean computed Ki compared to that obtained with LVBP-SP-PV in a three-compartment 15-parameter model with a ~57% deviation in the mean computed Ki. The mean computed Ki in WKY rat hearts using the above methods, however, did not differ significantly to that obtained from invasive arterial blood sampling in SD rat hearts (p   =  0.91 for IVC-PV and p   =  0.58 for LVBP-SP-PV). Hence, Ki obtained in WKY rat hearts with input curve from IVC (IVC-PV) in a dynamic FDG PET scan is comparatively more repetitive to that obtained from the LVBP (LVBP-SP-PV). Ki computed using both the methods, however, agree well with each other and that obtained using arterial blood sampling.

Indexed as

Image Processing, Computer-AssistedPositron Emission Tomography Computed TomographyAlgorithmsAnimalsBiological TransportFluorodeoxyglucose F18GlucoseHeart VentriclesKineticsMaleMyocardiumRatsRats, Inbred WKYVena Cava, InferiorFluorodeoxyglucose F18Glucose

Identifiers

PMID31307015
PMCPMC7590261
OpenAlexW2962293197

What OpenQuestion holds

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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.