Evidence map›Paper›PMID 40098749›Full record

ArticleMolecular imaging

A Pharmacokinetic Model Determination of Time Activity Curves in Radiopharmaceutical Therapy.

Joseph Steiner, Brandon Nguyen, Farhad Jafari

Abstract read
In one paragraph

Article in Molecular imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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.

Joseph SteinerDepartment of Radiology, University of Chicago, Chicago, IL, USA.
Brandon NguyenDepartment of Radiology, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Farhad JafariDepartment of Radiology, University of Minnesota Twin Cities, Minneapolis, MN, USA.ORCID 0000-0003-1256-2441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and Purpose: Radiopharmaceutical therapy (RPT) dosimetry can be challenging to perform due to sparse data measurements and variations in how the time activity curve (TAC) is determined. In this work, a single system of equations was theoretically derived to estimate the TAC. Methods: A pharmacokinetic (PK) model was developed to estimate patient specific rate constants for a given set of body compartments. The PK model and an optimizer were numerically implemented to determine the rate constants and, using these physiologic data, to generate TACs and time integrated activities (TIAs) for 3 tissue systems from clinical data gathered in 5 patients. A fourth (aggregate) tissue compartment is added using conservation of activity considerations. Results: Feasibility of the PK model was demonstrated by successfully generating TACs and TIAs for all patients in a manner comparable to existing methods in the literature. The data are compared to smaller sampling regimes. Differences between the 3- and 4-compartment models show that conservation of activity considerations should be part of TAC estimations. Conclusion: The results here suggest a new paradigm in RPT in using the rate constants so identified as a diagnostic tool and as a vehicle to achieving individualized tumorcidal dose and/or the maximum tolerable dose to normal tissues.

Indexed as

Models, BiologicalRadiopharmaceuticalsHumansRadiometryTime FactorsRadiopharmaceuticalsradiopharmaceutical therapy (RPT)rate constantstime activity curve (TAC)

Identifiers

PMID40098749
PMCPMC11911383

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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.