Evidence map›Paper›PMID 19050876›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2009

Parametric renal blood flow imaging using [15O]H2O and PET.

Nobuyuki Kudomi, Niina Koivuviita, Kaisa E Liukko, Vesa J Oikonen, Tuula Tolvanen, Hidehiro Iida, Risto Tertti, Kaj Metsärinne, Patricia Iozzo, Pirjo Nuutila

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Article in European journal of nuclear medicine and molecular imaging, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Quantitative Total-Body Imaging of Blood Flow with High-Temporal-Resolution Early DynamicJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
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  6. Ex Vivo Simultaneous HJournal of imaging · 2024
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  7. Article
  8. MappingJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  9. Total-Body Perfusion Imaging with [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  10. Review
  11. Article
  12. Quantitative Analysis of Renal Perfusion by Arterial Spin Labeling.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  13. Article
  14. Renal statistical map for positron emission tomography with [O-15] water.American journal of nuclear medicine and molecular imaging · 2019
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Nobuyuki KudomiTurku PET Centre, University of Turku, Turku, Finland. nobuyuki.kudomi@tyks.fi
Niina Koivuviita
Kaisa E Liukko
Vesa J Oikonen
Tuula Tolvanen
Hidehiro Iida
Risto Tertti
Kaj Metsärinne
Patricia Iozzo
Pirjo Nuutila

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe quantitative assessment of renal blood flow (RBF) may help to understand the physiological basis of kidney function and allow an evaluation of pathophysiological events leading to vascular damage, such as renal arterial stenosis and chronic allograft nephropathy. The RBF may be quantified using PET with H(2)(15)O, although RBF studies that have been performed without theoretical evaluation have assumed the partition coefficient of water (p, ml/g) to be uniform over the whole region of renal tissue, and/or radioactivity from the vascular space (V(A). ml/ml) to be negligible. The aim of this study was to develop a method for calculating parametric images of RBF (K(1), k(2)) as well as V(A) without fixing the partition coefficient by the basis function method (BFM).

methodsThe feasibility was tested in healthy subjects. A simulation study was performed to evaluate error sensitivities for possible error sources.

resultsThe experimental study showed that the quantitative accuracy of the present method was consistent with nonlinear least-squares fitting, i.e. K(1,BFM)=0.93K(1,NLF)-0.11 ml/min/g (r=0.80, p<0.001), k(2,BFM)=0.96k(2,NLF)-0.13 ml/min/g (r=0.77, p<0.001), and V(A,BFM)=0.92V(A,NLF)-0.00 ml/ml (r=0.97, p<0.001). Values of the Akaike information criterion from this fitting were the smallest for all subjects except two. The quality of parametric images obtained was acceptable.

conclusionThe simulation study suggested that delay and dispersion time constants should be estimated within an accuracy of 2 s. V(A) and p cannot be neglected or fixed, and reliable measurement of even relative RBF values requires that V(A) is fitted. This study showed the feasibility of measurement of RBF using PET with H(2)(15)O.

Indexed as

Renal CirculationAgedComputer SimulationDiagnostic ImagingHumansImage Interpretation, Computer-AssistedKidneyMiddle AgedModels, StatisticalModels, TheoreticalOxygen RadioisotopesPositron-Emission TomographyRadiopharmaceuticalsReproducibility of ResultsWaterOxygen RadioisotopesRadiopharmaceuticalsWater

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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.