Evidence map›Paper›PMID 39832118›Full record

SynthesisAnnals of nuclear medicine2025

Compartmental modeling for blood flow quantification from dynamic

Oona Rainio, Riku Klén

Abstract readSystematic Review
In one paragraph

Synthesis in Annals of nuclear medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. New compartment model for hepatic blood flow quantification in humans from 15O-water PET images.European journal of nuclear medicine and molecular imaging · 2025
    Article
  4. 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

2 authors.

Oona RainioTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland. ormrai@utu.fi.ORCID http://orcid.org/0000-0002-7775-7656
Riku KlénTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.ORCID http://orcid.org/0000-0002-0982-8360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic positron emission tomography (PET) can be used to non-invasively estimate the blood flow of different organs via compartmental modeling. Out of different PET tracers, water labeled with the radioactive

Indexed as

Image Processing, Computer-AssistedOxygen RadioisotopesPositron-Emission TomographyRegional Blood FlowWaterHumansOxygen RadioisotopesWaterBlood flow quantificationCompartmental modelingDynamic positron emission tomography

Identifiers

PMID39832118
PMCPMC11829939

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.