Evidence map›Paper›PMID 41264090›Full record

ArticleEJNMMI physics2025

Regional impact of time-to-equilibrium on indirect Patlak whole-body parametric imaging: a multi-tissue class analysis at the entire body level.

Abarnaa Sivapathasundaram, Agnieszka Buffon, Jérôme Ghidaglia, Yannick Jentreau, Léa Gomez, Axelle Jamet, Maïwenn Beau, Natacha Da Fonseca, Kevin Harnais, Stéphane Onephandara and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Abarnaa SivapathasundaramDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Agnieszka BuffonDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Jérôme GhidagliaDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Yannick JentreauDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Léa GomezDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Axelle JametDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Maïwenn BeauDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Natacha Da FonsecaDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Kevin HarnaisDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Stéphane OnephandaraDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Widad MakhloufDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Karim En NourhiDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Emmanuel DurandDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Sylvain FaureLaboratoire de Mathématiques d'Orsay, CNRS / Université Paris-Saclay / INRIA ParMa, Orsay, France.
Florent L BessonDepartment of Nuclear Medicine-Molecular Imaging, Hôpitaux Universitaires Paris-Saclay, AP-HP, DMU SMART IMAGING,, Hôpital Bicêtre, Le Kremlin-Bicêtre, France. florent.besson@aphp.fr.ORCID http://orcid.org/0000-0002-9826-3890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatlak parametric imaging is widely employed for kinetic modeling due to its simplicity and robustness. The time-to-equilibrium (t*), which must be defined to estimate kinetic parameters, is currently set empirically and uniformly across the entire body. In this study, we evaluate the regional impact of varying t* values on kinetic parameter estimates using a multi-tissue segmentation approach at the whole-body level.

methodsData from 53 patients who underwent one-hour dynamic 18 F-FDG PET/CT scans were retrospectively analyzed. Parametric maps of the net influx rate (K

resultsCompared to the reference t*30, K

conclusionKinetic parameter sensitivity to time-to-equilibrium (t*) varies across organs in Patlak whole-body parametric imaging, underscoring the necessity of adopting flexible or adaptive t* values at the whole-body level.

Indexed as

K0inetic modelingParametric imagingPatlakPETQuantificationVoxel-wise

Identifiers

PMID41264090
PMCPMC12634920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.