Evidence map›Paper›PMID 30498938›Full record

ArticleEJNMMI research2018

Implementation of patient dosimetry in the clinical practice after targeted radiotherapy using [

Lore Santoro, Erick Mora-Ramirez, Dorian Trauchessec, Soufiane Chouaf, Pierre Eustache, Jean-Pierre Pouget, Pierre-Olivier Kotzki, Manuel Bardiès, Emmanuel Deshayes

Abstract read
In one paragraph

Article in EJNMMI research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. SPECT/CT Image-Derived Absorbed Dose to Red Marrow Correlates with Hematologic Toxicity in Patients Treated with [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  6. Article
  7. Review
  8. A single-institution experience withFrontiers in oncology · 2024
    Article
  9. Article
  10. Specific Uptake in the Bone Marrow Causes High Absorbed Red Marrow Doses During [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Deep-Learning Generation of Synthetic Intermediate Projections ImprovesJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Training Requirements for Theranostics: A Unique Opportunity for Collaboration.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 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

9 authors.

Lore SantoroNuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France. lore.santoro@icm.unicancer.fr.ORCID http://orcid.org/0000-0002-8935-1450
Erick Mora-RamirezCentre de Recherche en Cancérologie de Toulouse, Toulouse, France.
Dorian TrauchessecNuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.
Soufiane ChouafNuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.
Pierre EustacheNuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.
Jean-Pierre PougetInstitut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, Institut Régional du Cancer de Montpellier (ICM), Montpellier, France.
Pierre-Olivier KotzkiNuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.
Manuel BardièsCentre de Recherche en Cancérologie de Toulouse, Toulouse, France.
Emmanuel DeshayesNuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study's aim was to develop our dosimetric methodology using a commercial workstation for the routine evaluation of the organs at risk during peptide receptor radionuclide therapy (PRRT) with

methodsFirst, planar and SPECT sensitivity factors were determined on phantoms. The reconstruction parameters were optimized by SPECT/CT image acquisition using a NEMA IEC phantom containing a 500 ml bottle of

resultsSensitivity factors of 6.11 ± 0.01 and 5.67 ± 0.08 counts/s/MBq were obtained with planar and SPECT/CT acquisitions, respectively. A recovery coefficient of 0.78 was obtained for the modeled L2-L4 red marrow. The mean AD/A admin values were 0.43 ± 0.13 mGy/MBq [0.27-0.91] for kidneys, 0.54 ± 0.58 mGy/MBq [0.12-2.26] for liver, 0.61 ± 0.13 mGy/MBq [0.42-0.89] for spleen, and 0.04 ± 0.02 mGy/MBq [0.01-0.09] for red marrow. The AD/A admin values varied when calculated using the personalized and standard organ mass, particularly for kidneys (p = 1 × 10

conclusionsThe obtained AD/A admin values were in agreement with the literature data. This study shows the technical feasibility of patient dosimetry in clinical practice and the need to obtain patient-specific information.

Indexed as

[177Lu- [DOTA0, Tyr3]-octreotateMedical internal radiation dosePatient-specific dosimetryPeptide receptor radionuclide therapy

Identifiers

PMID30498938
PMCPMC6265360

What OpenQuestion holds

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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.