Evidence map›Paper›PMID 35976503›Full record

ArticleEJNMMI physics2022

Impact of the dead-time correction method on quantitative

Alessandro Desy, Guillaume F Bouvet, Nancy Lafrenière, Atefeh Zamanian, Philippe Després, Jean-Mathieu Beauregard

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. 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

6 authors.

Alessandro DesyDepartment of Medical Imaging, and Research Centre (Oncology Axis), CHU de Québec - Université Laval, 11 Côte du Palais, QC, G1R 2J6, Quebec City, Canada.
Guillaume F BouvetDepartment of Medical Imaging, and Research Centre (Oncology Axis), CHU de Québec - Université Laval, 11 Côte du Palais, QC, G1R 2J6, Quebec City, Canada.
Nancy LafrenièreDepartment of Medical Imaging, and Research Centre (Oncology Axis), CHU de Québec - Université Laval, 11 Côte du Palais, QC, G1R 2J6, Quebec City, Canada.
Atefeh ZamanianDepartment of Medical Imaging, and Research Centre (Oncology Axis), CHU de Québec - Université Laval, 11 Côte du Palais, QC, G1R 2J6, Quebec City, Canada.
Philippe DesprésDepartment of Radiation Oncology, and Research Centre (Oncology Axis), CHU de Québec - Université Laval, Quebec City, Canada.
Jean-Mathieu BeauregardDepartment of Medical Imaging, and Research Centre (Oncology Axis), CHU de Québec - Université Laval, 11 Côte du Palais, QC, G1R 2J6, Quebec City, Canada. jean-mathieu.beauregard@crchudequebec.ulaval.ca.ORCID http://orcid.org/0000-0003-2123-145X

Funding

Canadian Institutes of Health Research (CIHR) MOP-142233
6 · The paper itself

Abstract

backgroundDead-time correction is required for accurate quantitative SPECT-based dosimetry in the context of personalised

methodsData from 16 SPECT/CT acquisitions of a decaying

resultsBoth per-volume DTCMs (DTCM2 and DTCM3) were found to be equivalent, with VOI count differences not exceeding 0.8%. When comparing the per-volume post-reconstruction DTCM3 versus the per-projection pre-reconstruction DTCM1, differences in VOI counts and absorbed dose estimates did not exceed 2%, with very few exceptions. The largest absorbed dose deviation was observed for a kidney at 3.5%.

conclusionWhile per-projection dead-time correction appears ideal for QSPECT, post-reconstruction correction is an acceptable alternative that is more practical to implement in the clinics, and that results in minimal deviations in quantitative accuracy and dosimetry estimates, as compared to the per-projection correction.

Indexed as

Dead timeDosimetryLutetium-177Quantitative imagingRadiopharmaceutical therapySingle-photon emission computed tomography

Identifiers

PMID35976503
PMCPMC9385894

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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.