Evidence map›Paper›PMID 29481536›Full record

ArticleHealth physics2018

Murine-specific Internal Dosimetry for Preclinical Investigations of Imaging and Therapeutic Agents.

Bryan Bednarz, Joseph Grudzinski, Ian Marsh, Abby Besemer, Dana Baiu, Jamey Weichert, Mario Otto

Abstract read
In one paragraph

Article in Health physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
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  7. Article
  8. Antitumor efficacy ofJournal for immunotherapy of cancer · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Preclinical Voxel-Based Dosimetry in Theranostics: a Review.Nuclear medicine and molecular imaging · 2020
    Review
  15. PARaDIM: A PHITS-Based Monte Carlo Tool for Internal Dosimetry with Tetrahedral Mesh Computational Phantoms.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  16. Preclinical Characterization ofJournal 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

7 authors.

Bryan Bednarz
Joseph Grudzinski
Ian Marsh
Abby Besemer
Dana Baiu
Jamey Weichert
Mario Otto

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
A cancer-targeted phospholipid ether analog for molecular radiotherapy of pediatric solid tumorsR21CA198392 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEDNARZ, BRYAN PATRICK, OTTO, MARIO · 2015 to 2016
$366k
NCI NIH HHS P30 CA014520NCI NIH HHS R21 CA198392
6 · The paper itself

Abstract

There is a growing need to estimate the absorbed dose to small animals from preclinical investigations involving diagnostic and therapeutic radiopharmaceuticals. This paper introduces a Monte Carlo-based dosimetry platform called RAPID, which is capable of calculating murine-specific three-dimensional (3D) dose distributions. A comparison is performed between absorbed doses calculated with RAPID and absorbed doses calculated in a commonly used reference mouse phantom called MOBY. Four test mice containing different xenografts underwent serial PET/CT imaging using a novel diagnostic therapy (theranostic) agent NM404, which can be labeled with I for imaging or I for therapy. Using the PET/CT data, 3D dose distributions from I-NM404 were calculated in the mice using RAPID. Mean organ doses in these four test mice were compared to mean organ doses derived by using two previously published I S-values datasets in MOBY. In addition, mean tumor doses calculated in RAPID were compared to mean organ doses derived from unit density spheres. Large differences were identified between mean organ doses calculated in the test mice using RAPID and those derived in the MOBY phantom. Mean absorbed dose percent errors in organs ranged between 0.3% and 333%. Overall, mass scaling improved agreement between MOBY phantom calculations and RAPID, where percent errors were all less than 26%, with the exception of the lung in which percent errors reached values of 48%. Percent errors in mean tumor doses in the test mice and unit density spheres were less pronounced but still ranged between 8% and 23%. This work demonstrates the limitations of using pre-computed S-values in computational phantoms to predict organ doses in small animals from theranostic procedures. RAPID can generate accurate 3D dose distributions in small animals and in turn offer much greater insight on the ability of a given theranostic agent to image and treat diseases.

Indexed as

Drug Evaluation, PreclinicalPhantoms, ImagingAnimalsComputer SimulationHumansIodine RadioisotopesMaleMiceMice, Inbred NODMonte Carlo MethodNeoplasmsPositron Emission Tomography Computed TomographyRadiation DosageRadiopharmaceuticalsTumor Cells, CulturedXenograft Model Antitumor AssaysIodine RadioisotopesRadiopharmaceuticals

Identifiers

PMID29481536
PMCPMC5831541

What OpenQuestion holds

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LicenceTDM
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.