Evidence map›Paper›PMID 36512147›Full record

ArticleEJNMMI physics2022

Quantification and dosimetry of small volumes including associated uncertainty estimation.

Lily Carnegie-Peake, Jan Taprogge, Iain Murray, Glenn D Flux, Jonathan Gear

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2022. 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
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Inter-center variability of dosimetry methodology and the impact on reported absorbed dose for [European journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Dosimetry inJournal of clinical medicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. MIRD Pamphlet No. 33: MIRDpvc-A Software Tool for Recovery Coefficient-Based Partial-Volume Correction.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Lesion Dosimetry for [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    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 at 1 institution in 1 country.

Lily Carnegie-PeakeJoint Department of Physics, Royal Marsden NHSFT, Downs Road, Sutton, SM2 5PT, UK.
Jan TaproggeJoint Department of Physics, Royal Marsden NHSFT, Downs Road, Sutton, SM2 5PT, UK.
Iain MurrayJoint Department of Physics, Royal Marsden NHSFT, Downs Road, Sutton, SM2 5PT, UK.
Glenn D FluxJoint Department of Physics, Royal Marsden NHSFT, Downs Road, Sutton, SM2 5PT, UK.
Jonathan GearJoint Department of Physics, Royal Marsden NHSFT, Downs Road, Sutton, SM2 5PT, UK. Jonathan.Gear@icr.ac.uk.ORCID http://orcid.org/0000-0002-4292-6149
Royal Marsden NHS Foundation Trust · GB

Funding

Euratom Research and Training Programme 755523National Institute for Health Research (Policy Research Programme) PR-R14-0915-23006
6 · The paper itself

Abstract

backgroundAccurate quantification of radioactivity in a source of interest relies on accurate registration between SPECT and anatomical images, and appropriate correction of partial volume effects (PVEs). For small volumes, exact registration between the two imaging modalities and recovery factors used to correct for PVE are unreliable. There is currently no guidance relating to quantification or the associated uncertainty estimation for small volumes. MATERIAL AND

methodsA method for quantification of small sources of interest is proposed, which uses multiple oversized volumes of interest. The method was applied to three Na[

resultsThe method is accurate across a range of activities and in varied radioactivity distributions. Median percentage errors using the proposed method in no background, uniform backgrounds and non-uniform backgrounds were - 0.4%, - 0.3% and 1.7% with median associated uncertainties of 1.4%, 1.4% and 1.6%, respectively. The technique is more accurate and robust when compared to currently available alternative methods.

conclusionsThe proposed method provides a reliable and accurate method for quantification of sources of interest, which are less than three times the spatial resolution of the imaging system. The method may be of use in absorbed dose calculation in cases of bone metastasis, lung metastasis or thyroid remnants.

Indexed as

DosimetryI-131QuantificationUncertainty estimation

Identifiers

PMID36512147
PMCPMC9748012
OpenAlexW4311343865

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.