Evidence map›Paper›PMID 37184824›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2023

Clinical Pharmacokinetics of Radiopharmaceuticals from SPECT/CT Image Acquisition by Contouring in Patients with Gastroenteropancreatic Neuroendocrine Tumors: Lu-177 DOTATATE (Lutathera

Anissa Barakat, Lore Santoro, Myrtille Vivien, Pierre-Olivier Kotzki, Emmanuel Deshayes, Sonia Khier

Open access · greenAbstract read
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In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2023. 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
0.2field-weighted citation impact, top 44% of its field
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 citations in OpenAlex.

  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

6 authors at 2 institutions in 1 country.

Anissa BarakatPharmacokinetics and Pharmacometrics Department, School of Pharmacy, UFR Pharmacie, Montpellier University, 15 Avenue Charles Flahault, 34000, Montpellier, France.
Lore SantoroNuclear Medicine Department, Montpellier Cancer Institute, Montpellier University, Montpellier, France.
Myrtille VivienBiostatistics, Informatics and pharmaceutical physic Laboratory, School of Pharmacy, UFR Pharmacie, Montpellier University, 15 Av. Ch. Flahault, 34000, Montpellier, France.
Pierre-Olivier KotzkiNuclear Medicine Department, Montpellier Cancer Institute, Montpellier University, Montpellier, France.
Emmanuel DeshayesNuclear Medicine Department, Montpellier Cancer Institute, Montpellier University, Montpellier, France.
Sonia KhierPharmacokinetics and Pharmacometrics Department, School of Pharmacy, UFR Pharmacie, Montpellier University, 15 Avenue Charles Flahault, 34000, Montpellier, France. sonia.khier@umontpellier.fr.ORCID http://orcid.org/0000-0001-6712-8461
Inserm · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveLu-177 DOTATATE (Lutathera

methodsFrom a retrospective study, SPECT/CT images were acquired at 4 h, 24 h, 72 h, and 192 h postadministration. From these images, volumic activities were calculated in blood and bone marrow. An individual non-compartmental pharmacokinetic analysis was performed, and the mean pharmacokinetic parameters of each tissue were compared together and with reference data. Blood volumic activities were then used to perform a population pharmacokinetic analysis (NONMEM).

resultsThe pharmacokinetic parameters (non-compartmental analysis) obtained from blood (clearance [CL] = 2.65 L/h, volume of distribution at steady state [Vss] = 309 L, elimination half-life [t

conclusionThis study is a proof of concept that obtaining pharmacokinetic parameters with image-based blood concentration is possible. Obtaining observed concentrations from SPECT/CT images, without the need for blood sampling, is a real advantage for the patient and the drug monitoring. Pharmacokinetic modeling could be combined with a deep learning model for automatic contouring and allow precise patient-specific dose adjustment in a non-invasive manner.

Indexed as

Neuroendocrine TumorsRadioisotopesHumansIntestinal NeoplasmsLutetiumOctreotideOrganometallic CompoundsPancreatic NeoplasmsPositron-Emission TomographyRadionuclide ImagingRadiopharmaceuticalsRetrospective StudiesStomach NeoplasmsTissue DistributionTomography, Emission-Computed, Single-PhotonTomography, X-Ray Computedcopper dotatate CU-64LutetiumLutetium-177lutetium Lu 177 dotatateOctreotideOrganometallic CompoundsRadioisotopesRadiopharmaceuticals

Identifiers

PMID37184824
OpenAlexW4376618613

What OpenQuestion holds

Textmetadata
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.