Evidence map›Paper›PMID 40116877›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

New compartment model for hepatic blood flow quantification in humans from 15O-water PET images.

Oona Rainio, Juhani Knuuti, Riku Klén

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Oona RainioTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland. ormrai@utu.fi.ORCID 0000-0002-7775-7656
Juhani KnuutiTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.ORCID 0000-0003-3156-9593
Riku KlénTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.ORCID 0000-0002-0982-8360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent compartment models are commonly used to derive crucial information about blood flow, metabolism, and oxygenation from the results of a dynamic positron emission tomography (PET) scan. However, compared to blood flow in many other organs of interest, the hepatic blood flow (HBF) quantification is challenging due to the dual blood supply of liver from both the hepatic artery and the portal vein (PV). Here, we introduce a new model that can be used to estimate the HBF in combination with an automatic volume of interest selection method. MATERIALS AND

methodsBy using the

resultsWe obtained the mean arterial HBF of 0.299±0.168 mL/min/mL, the mean portal HBF of 0.930±0.520 mL/min/mL, and the total HBF of 1.229±0.612 mL/min/mL with our new model. Based on earlier research, both these estimates and also the results of two earlier versions of the original dual-input model are realistic. Out of these three models, our proposed model performed the best in terms of MRE (p-values

conclusionThe HBF can effectively be estimated from

Indexed as

LiverLiver CirculationModels, BiologicalPositron-Emission TomographyWaterAdultAgedAged, 80 and overFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedOxygen IsotopesOxygen RadioisotopesOxygen-15Oxygen IsotopesOxygen RadioisotopesWater15O-water positron emission tomographyCompartmental modellingDynamic positron emission tomographyHepatic blood flow

Identifiers

PMID40116877
PMCPMC12222372

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.