Evidence map›Paper›PMID 29713958›Full record

ArticleMolecular imaging and biology2018

Noise-Induced Variability of Immuno-PET with Zirconium-89-Labeled Antibodies: an Analysis Based on Count-Reduced Clinical Images.

Yvonne W S Jauw, Dennis F Heijtel, Josée M Zijlstra, Otto S Hoekstra, Henrica C W de Vet, Danielle J Vugts, Henk M Verheul, Ronald Boellaard, Sonja Zweegman, Guus A M S van Dongen and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Whole-body CD8Nature communications · 2025
    Trial
  2. Article
  3. Advances and challenges in immunoPET methodology.Frontiers in nuclear medicine · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Noise sensitivity ofEJNMMI physics · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2020
    Review
  12. Review
  13. Sensitivity ofEJNMMI research · 2019
    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

13 authors at 2 institutions in 1 country.

Yvonne W S JauwDepartment of Hematology, VU University Medical Center, Amsterdam, The Netherlands. yws.jauw@vumc.nl.
Dennis F HeijtelPhilips Healthcare, Best, the Netherlands.
Josée M ZijlstraDepartment of Hematology, VU University Medical Center, Amsterdam, The Netherlands.
Otto S HoekstraDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Henrica C W de VetDepartment of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands.
Danielle J VugtsDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Henk M VerheulDepartment of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands.
Ronald BoellaardPhilips Healthcare, Best, the Netherlands.
Sonja ZweegmanDepartment of Hematology, VU University Medical Center, Amsterdam, The Netherlands.
Guus A M S van DongenDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
C Willemien Menke-van der Houven van OordtDepartment of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands.
Adriaan A LammertsmaDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Marc C HuismanDepartment of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
Amsterdam UMC Location VUmc · NLPhilips (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePositron emission tomography (PET) with Zirconium-89 (Zr-89)-labeled antibodies can be used for in vivo quantification of antibody uptake. Knowledge about measurement variability is required to ensure correct interpretation. However, no clinical studies have been reported on measurement variability of Zr-89 immuno-PET. As variability due to low signal-to-noise is part of the total measurement variability, the aim of this study was to assess noise-induced variability of Zr-89 -immuno-PET using count-reduced clinical images. PROCEDURES: Data were acquired from three previously reported clinical studies with [

resultsThe RC for the combined manually delineated organs for [

conclusionsBased on this study, noise-induced variability results in a RC for Zr-89-immuno-PET (37 MBq) around 6 % for manually delineated organs combined, increasing up to 43 % at D6 for blood pool and bone marrow, assuming similar biodistribution of antibodies. The signal-to-noise ratio leads to tumor RC up to 42 %.

Indexed as

Antibodies, MonoclonalHumansNeoplasmsPositron-Emission TomographyRadioisotopesReproducibility of ResultsZirconiumAntibodies, MonoclonalRadioisotopesZirconiumZirconium-89Immuno-PETMolecular imagingMonoclonal antibodiesPositron emission tomographyZirconium-89

Identifiers

PMID29713958
PMCPMC6244539
OpenAlexW2801121811

What OpenQuestion holds

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LicenceCC BY
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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.