Evidence map›Paper›PMID 30294746›Full record

ArticleEJNMMI physics2018

Validation of gallbladder absorbed radiation dose reduction simulation: human dosimetry of [

Robert K Doot, Jacob G Dubroff, Joshua S Scheuermann, Kyle J Labban, Jenny Cai, Chia-Ju Hsieh, Shihong Li, Hsiaoju Lee, Erin K Schubert, Catherine Hou and 4 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Whole-body biodistribution of [Annals of nuclear medicine · 2026
    Article
  2. Article
  3. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  4. Review
  5. Article
  6. PennPET Explorer: Human Imaging on a Whole-Body Imager.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
    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

14 authors at 1 institution in 1 country.

Robert K DootDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. robdoot@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0003-1747-239X
Jacob G DubroffDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Joshua S ScheuermannDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kyle J LabbanDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jenny CaiDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Chia-Ju HsiehDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Shihong LiDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Hsiaoju LeeDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Erin K SchubertDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Catherine HouDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Regan ShefferDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Alexander SchmitzDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kuiying XuDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Robert H MachDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
University of Pennsylvania · US

Funding

PET RADIOTRACERS FOR IMAGING THE DOPAMINE D3 RECEPTORR01DA029840 · NIDA · WASHINGTON UNIVERSITY · PI MACH, ROBERT H · 2010 to 2020
$4.3M
The influence of nicotinic hepatic metabolism on neuroreceptor substrates of nicotine addictionK23DA038726 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI DUBROFF, JACOB · 2016 to 2020
$964k
Methodology for PET Imaging of Role of Dopamine D3 Receptor in AddictionK01DA040023 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI DOOT, ROBERT KENNETH · 2016 to 2020
$809k
National Institute on Drug Abuse K01DA040023National Institute on Drug Abuse K23DA038726National Institute on Drug Abuse R01DA029840NIDA NIH HHS K01 DA040023NIDA NIH HHS K23 DA038726NIDA NIH HHS R01 DA029840
6 · The paper itself

Abstract

background[

resultsEffective dose without a fatty meal was 0.022 ± 0.002 mSv/MBq (± standard deviation) with highest organ dose of 0.436 ± 0.178 mSv/MBq to the gallbladder wall (n = 10). Predicted gallbladder dose reduction with fatty meal consumed was 67.4% (n = 10). Meal consumption by four repeat volunteers decreased average gallbladder dose by 71.3% (n = 4) compared to the original ten volunteers.

conclusionsObserved effective doses were adequately low to continue studying FTP uptake in humans. Validated dosimetry simulations indicate up to a 71% reduction in gallbladder dose can be achieved by employing intrinsic physiology to contract the gallbladder via fatty meal ingestion. This methodology for predicting gallbladder absorbed dose reduction from fatty meal consumption can be applied to other radiopharmaceuticals and radiotherapies.

Indexed as

[18F]fluortrioprideDopamineDosimetryGallbladder absorbed dosePET

Identifiers

PMID30294746
PMCPMC6174116
OpenAlexW2809008994

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.