Evidence map›Paper›PMID 29577338›Full record

ArticleMedical physics2018

Technical Note: Single time point dose estimate for exponential clearance.

Mark T Madsen, Yusuf Menda, Thomas M O'Dorisio, M Sue O'Dorisio

Registry-linked trialAbstract read
In one paragraph

Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03923257 (Phase I Trial of Peptide Receptor Radiotherapy), which is not on this map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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.

NCT03923257 phase1 / phase2withdrawnnot on this mapstarted 2020, after this paper: background citation

Phase I Trial of Peptide Receptor Radiotherapy (PRRT) With 177Lu-DOTA-tyr3-Octreotate (177Lu-DOTATATE) in Children and Adolescents With Neuroendocrine Tumor or Pheochromocytoma/Paraganglioma

TypeinterventionalSponsorSue O'DorisioRan2020 to 2021Enrolled0ConditionsNeuroendocrine Tumors, Pheochromocytoma, ParagangliomaArms177Lu-DOTA-tyr3-OCTREOTATE, Peptide Receptor Radiotherapy (PRRT)
3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

  1. Radiation Dosimetry inJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
    Trial
  2. Review
  3. Outcome-driven dosimetry optimization for [European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026
    Review
  6. Article
  7. Article
  8. Clinical value of per-treatment whole-body single-time-point automated dosimetry for [European journal of nuclear medicine and molecular imaging · 2026
    Article
  9. Validation of Simplified Renal Dosimetry Protocols forMolecular imaging and radionuclide therapy · 2026
    Article
  10. OptimizingNuclear medicine and molecular imaging · 2026
    Article
  11. Fast [EJNMMI physics · 2026
    Article
  12. A Phase 0 Imaging Trial of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. Extravasation Frequency of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  17. CanJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  18. Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mark T MadsenDepartment of Radiology, University of Iowa, Iowa City, IA, 52242, USA.
Yusuf MendaDepartment of Radiology, University of Iowa, Iowa City, IA, 52242, USA.
Thomas M O'DorisioDepartment of Endocrinology, University of Iowa, Iowa City, IA, 52242, USA.
M Sue O'DorisioDepartment of Pediatrics, University of Iowa, Iowa City, IA, 52242, USA.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Project 4: New Approaches to Improving the Effectiveness of Radionuclide Targeted Treatments in Neuroendocrine TumorsP50CA174521 · NCI · UNIVERSITY OF IOWA · PI ODORISIO, THOMAS · 2015 to 2021
$13.2M
Eyestrain in RadiologistsR01EB004987 · NIBIB · UNIVERSITY OF ARIZONA · PI KRUPINSKI, ELIZABETH A · 2006 to 2016
$2.6M
Image-guided Diagnosis and Therapy of Neuroendocrine TumorsR01CA167632 · NCI · UNIVERSITY OF IOWA · PI MENDA, YUSUF, O'DORISIO, M. SUE · 2012 to 2016
$2.6M
NCI NIH HHS P50 CA174521NCI NIH HHS R01 CA167632NIBIB NIH HHS R01 EB004987
6 · The paper itself

Abstract

objectiveAlthough personalized dosimetry may be desirable for radionuclide therapy treatments, the multiple time samples required to determine the total integrated activity puts a burden on patients and clinic resources. The aim of this paper is to demonstrate that when some prior knowledge is known about the tracer kinetic parameters, the total integrated activity (and thus radiation dose) can be estimated from a single time sample.

methodsMathematical derivations have been performed to generate equations for the total integrated activity in terms of a single time sample of activity for monoexponential and biexponential clearance. Simulations were performed using both exponential models where the rate constants and associated parameters were randomly sampled from distributions with a known mean. The actual total integrated activity for each random sample was compared with the estimated total integrated activity using the mean value of the parameters. Retrospective analysis of

resultsThe optimal sampling time for the single point approach was found to be equal to the mean time of the rate constant. The simulation results for the monoexponential and biexpoential models were similar. Regressions comparing the actual and estimated total integrated activity had very high correlations (r

conclusionsIn situations where there is prior knowledge about the population averages of kinetic parameters, these results suggest that the single time point approach can be used to estimate the total integrated activity and dose with sufficient accuracy to manage radionuclide therapy. This will make personalized dosimetry much easier to perform and more available to the community.

Indexed as

Models, BiologicalRadiometryHumansKineticsNeoplasmsPrecision MedicineRadioactive TracersRadiotherapyRadioactive Tracersexponential clearancepersonalized radionuclide therapyradiation dose estimatesingle sample time

Identifiers

PMID29577338
PMCPMC5948162

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Registered trials

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.