Evidence map›Paper›PMID 18483086›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2008

Lognormal distribution of cellular uptake of radioactivity: statistical analysis of alpha-particle track autoradiography.

Prasad V S V Neti, Roger W Howell

Abstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2008. 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
–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

6 citing papers in PubMed.

  1. Predicting response of micrometastases with MIRDcell V3: proof of principle withEuropean journal of nuclear medicine and molecular imaging · 2022
    Article
  2. Review
  3. Log-epsilon-skew normal: A generalization of the log-normal distribution.Communications in statistics: theory and methods · 2020
    Article
  4. Article
  5. Article
  6. 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

2 authors.

Prasad V S V NetiDivision of Radiation Research, Department of Radiology, New Jersey Medical School, University of Medicine and Dentistry of New Jersey, Newark, New Jersey 07103, USA.
Roger W Howell

Funding

EFFECTS OF NONUNIFORM DISTRIBUTIONS OF RADIOACTIVITYR01CA083838 · NCI · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI HOWELL, ROGER W. · 2000 to 2009
$2.2M
NCI NIH HHS R01 CA083838NCI NIH HHS R01CA83838
6 · The paper itself

Abstract

unlabelledRecently, the distribution of radioactivity among a population of cells labeled with 210Po was shown to be well described by a lognormal (LN) distribution function (J Nucl Med. 2006;47:1049-1058) with the aid of autoradiography. To ascertain the influence of Poisson statistics on the interpretation of the autoradiographic data, the present work reports on a detailed statistical analysis of these earlier data.

methodsThe measured distributions of alpha-particle tracks per cell were subjected to statistical tests with Poisson, LN, and Poisson-lognormal (P-LN) models.

resultsThe LN distribution function best describes the distribution of radioactivity among cell populations exposed to 0.52 and 3.8 kBq/mL of 210Po-citrate. When cells were exposed to 67 kBq/mL, the P-LN distribution function gave a better fit; however, the underlying activity distribution remained lognormal.

conclusionThe present analysis generally provides further support for the use of LN distributions to describe the cellular uptake of radioactivity. Care should be exercised when analyzing autoradiographic data on activity distributions to ensure that Poisson processes do not distort the underlying LN distribution.

Indexed as

Cell Physiological PhenomenaModels, BiologicalAlpha ParticlesAutoradiographyComputer SimulationData Interpretation, StatisticalImage Interpretation, Computer-AssistedLinear Energy TransferModels, StatisticalNormal DistributionPoloniumRadiation DosageRadiometryPolonium

Identifiers

PMID18483086
PMCPMC2911153

What OpenQuestion holds

Textmetadata
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.