Evidence map›Paper›PMID 34918865›Full record

ArticleJournal of applied clinical medical physics2022

Technical note: Partitioning of gated single photon emission computed tomography raw data for protocols optimization.

Cleiton Cavalcante Queiroz, Marcos Antonio Dorea Machado, Antonio Augusto Brito Ximenes, Andre Gustavo Silva Pino, Eduardo Martins Netto

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Cleiton Cavalcante QueirozDepartment of Nuclear Medicine, São Rafael Hospital/ Rede D'or, Salvador, Bahia, Brazil.
Marcos Antonio Dorea MachadoDepartment of Nuclear Medicine, São Rafael Hospital/ Rede D'or, Salvador, Bahia, Brazil.
Antonio Augusto Brito XimenesDepartment of Nuclear Medicine, Cardio Pulmonar Hospital/ Rede D'or, Salvador, Bahia, Brazil.
Andre Gustavo Silva PinoDepartment of Nuclear Medicine, Hospital Universitario Professor Alberto Antunes/Ebserh, Maceio, Alagoas, Brazil.
Eduardo Martins NettoInfectious Disease Research Laboratory, Complexo Hospitalar Universitário Prof. Edgard Santos/Ebserh, Universidade Federal da Bahia, Salvador, Bahia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMethodologies for optimization of SPECT image acquisition can be challenging due to imaging throughput, physiological bias, and patient comfort constraints. We evaluated a vendor-independent method for simulating lower count image acquisitions.

methodsWe developed an algorithm that recombines the ECG-gated raw data into reduced counting acquisitions. We then tested the algorithm to simulate reduction of counting statistics from phantom SPECT image acquisition, which was synchronized with an ECG simulator. The datasets were reconstructed with a resolution recovery algorithm and the summed stress score (SSS) was assessed by three readers (two experts and one automatic).

resultsThe algorithm generated varying counting levels, simulating multiple examinations at the same time. The error between the expected and the simulated countings ranged from approximately 5% to 10% for the ungated simulations and 0% for the gated simulations.

conclusionsThe vendor-independent algorithm successfully generated lower counting statistics datasets from single-gated SPECT raw data. This method can be readily implemented for optimal SPECT research aiming to lower the injected activity and/ or to shorten the acquisition time.

Indexed as

AlgorithmsTomography, Emission-Computed, Single-PhotonHumansImage Processing, Computer-AssistedPhantoms, Imaginggated SPECTlow-doseoptimizationraw datashorter-scan-time

Identifiers

PMID34918865
PMCPMC8906212

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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.