Evidence map›Paper›PMID 21603236›Full record

ArticleInternational journal of molecular imaging2011

Quantitative Accuracy of Low-Count SPECT Imaging in Phantom and In Vivo Mouse Studies.

Ciara M Finucane, Iain Murray, Jane K Sosabowski, Julie M Foster, Stephen J Mather

Abstract read
In one paragraph

Article in International journal of molecular imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Imaging ofEJNMMI physics · 2023
    Article
  2. Article
  3. Preclinical Voxel-Based Dosimetry in Theranostics: a Review.Nuclear medicine and molecular imaging · 2020
    Review
  4. Internal radiation dosimetry of aEJNMMI research · 2019
    Article
  5. Article
  6. Article
  7. Perfusion single photon emission computed tomography in a mouse model of neurofibromatosis type 1: towards a biomarker of neurologic deficits.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015
    Article
  8. Article
  9. Article
  10. Antitumor effects ofOncology letters · 2013
    Article
  11. 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

5 authors.

Ciara M FinucaneCentre for Molecular Oncology and Imaging, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Iain Murray
Jane K Sosabowski
Julie M Foster
Stephen J Mather

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the accuracy of a single photon emission computed tomography (SPECT) system in quantifying a wide range of radioactivity concentrations using different scan times in both phantom and animal models. A phantom containing various amounts of In-111 or Tc-99m was imaged until the activity had decayed close to background levels. Scans were acquired for different durations, employing different collimator pinhole sizes. VOI analysis was performed to quantify uptake in the images and the values compared to the true activity. The phantom results were then validated in tumour-bearing mice. The use of an appropriate calibration phantom and disabling of a background subtraction feature meant that absolute errors were within 12% of the true activity. Furthermore, a comparison of in vivo imaging and biodistribution studies in mice showed a correlation of 0.99 for activities over the 200 kBq to 5 MBq range. We conclude that the quantitative information provided by the NanoSPECT camera is accurate and allows replacement of dissection studies for assessment of radiotracer biodistribution in mouse models.

Identifiers

PMID21603236
PMCPMC3094821

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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.