Evidence map›Paper›PMID 15776232›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2005

Quantitative analysis of myocardial glucose utilization in patients with left ventricular dysfunction by means of 18F-FDG dynamic positron tomography and three-compartment analysis.

Koichi Morita, Chietsugu Katoh, Keiichiro Yoshinaga, Kazuyuki Noriyasu, Megumi Mabuchi, Takahiro Tsukamoto, Hiroyuki Kageyama, Tohru Shiga, Yuji Kuge, Nagara Tamaki

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Article in European journal of nuclear medicine and molecular imaging, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Glucagon-like peptide-1 decreases intracerebral glucose content by activating hexokinase and changing glucose clearance during hyperglycemia.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2012
    Trial
  3. Human cardiac metabolism.Cell metabolism · 2024
    Review
  4. Kinetic metrics ofEuropean journal of nuclear medicine and molecular imaging · 2021
    Article
  5. Frontiers in medicine · 2021
    Article
  6. Multiparametric CardiacIEEE transactions on radiation and plasma medical sciences · 2020
    Article
  7. SPECT and PET in ischemic heart failure.Heart failure reviews · 2017
    Review
  8. Review
  9. Article
  10. Nuclear cardiology and heart failure.European journal of nuclear medicine and molecular imaging · 2009
    Review
  11. Metabolic imaging using PET.European journal of nuclear medicine and molecular imaging · 2007
    Review
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

10 authors at 1 institution in 1 country.

Koichi MoritaDepartment of Nuclear Medicine, Hokkaido University Graduate School of Medicine, Kita-15, Nishi-7, Sapporo, 060-8638, Japan.
Chietsugu Katoh
Keiichiro Yoshinaga
Kazuyuki Noriyasu
Megumi Mabuchi
Takahiro Tsukamoto
Hiroyuki Kageyama
Tohru Shiga
Yuji Kuge
Nagara Tamaki
Hokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMyocardial glucose utilization (MGU) is altered in various heart diseases. The aim of this study was to quantitatively assess regional myocardial glucose utilization in patients with left ventricular (LV) dysfunction by dynamic( 18)F-fluorodeoxyglucose positron emission tomography (FDG PET).

methodsA total of 18 subjects were studied, including ten with LV dysfunction (seven with idiopathic dilated cardiomyopathy and three with aortic regurgitation; NYHA II in 8 and III in 2) and eight healthy normal volunteers. Patients with diabetes mellitus were excluded. A dynamic PET study was performed for 40 min following the injection of 370 MBq of FDG after 50-g glucose loading. On the basis of a three-compartment model, MGU, K1, k2, and k3 were computed on a pixel by pixel basis to generate LV myocardial parametric maps. FDG standardized uptake value (SUV) was also calculated using static images obtained 40 min after FDG injection. These metabolic values were compared with myocardial flow distribution (%Flow), LVEF, LV volumes, and LV wall thickening (WT) determined by gated myocardial single-photon emission computed tomography using QGS software in eight myocardial segments.

resultsMGU correlated positively with LV volumes and negatively with LVEF. K(1) was significantly higher in the segments of the patients than in those of the normal volunteers (0.082+/-0.055 vs 0.041+/-0.017 ml min(-1) g(-1), p<0.05), although there was no difference in MGU between the groups. On the other hand, SUV, k2, and k3 did not differ significantly between the groups. Among the patients, the K1 values were significantly higher in the areas with impaired WT (%WT<17%) (0.109+/-0.063 vs 0.069+/-0.062 ml min(-1) g(-1), p<0.05) and in the areas with flow reduction (%Flow<71%) (0.112+/-0.076 vs 0.071+/-0.046 ml min(-1) g(-1), p<0.05).

conclusionThese results indicate that glucose utilization was preserved in the patients with LV dysfunction, mainly due to an increase in glucose transport, particularly in the regions with severely impaired LV function. Thus, the quantitative assessment of myocardial glucose utilization by FDG dynamic PET may provide useful information for assessing the regional myocardial metabolic status in patients with LV dysfunction.

Indexed as

Fluorodeoxyglucose F18AgedBiological TransportBlood GlucoseFemaleGlucoseHeart VentriclesHumansKineticsMaleMiddle AgedMyocardiumPerfusionPositron-Emission TomographyRadiopharmaceuticalsTime FactorsBlood GlucoseFluorodeoxyglucose F18GlucoseRadiopharmaceuticals

Identifiers

PMID15776232
OpenAlexW2068590652

What OpenQuestion holds

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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.