Evidence map›Paper›PMID 36577862›Full record

ArticleEJNMMI physics2022

Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom.

Leonardo Alexandre-Santos, Ana Carolina Trevisan, Felipe Arriva Pitella, Vitor Tumas, Jose Henrique Silvah, Mery Kato, Eder Rezende de Moraes, Lauro Wichert-Ana

Abstract read
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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Leonardo Alexandre-SantosNuclear Medicine and PET/CT Section, Department of Medical Imaging, Hematology, and Clinical Oncology, University of São Paulo (USP), Ribeirão Preto, Brazil.
Ana Carolina TrevisanNuclear Medicine and PET/CT Section, Department of Medical Imaging, Hematology, and Clinical Oncology, University of São Paulo (USP), Ribeirão Preto, Brazil.
Felipe Arriva PitellaNuclear Medicine and PET/CT Section, Department of Medical Imaging, Hematology, and Clinical Oncology, University of São Paulo (USP), Ribeirão Preto, Brazil.
Vitor TumasInterunits Bioengineering Postgraduation Program, São Carlos School of Engineering, University of São Paulo (USP), Ribeirão Preto, Brazil.
Jose Henrique SilvahNuclear Medicine and PET/CT Section, Department of Medical Imaging, Hematology, and Clinical Oncology, University of São Paulo (USP), Ribeirão Preto, Brazil.
Mery KatoNuclear Medicine and PET/CT Section, Department of Medical Imaging, Hematology, and Clinical Oncology, University of São Paulo (USP), Ribeirão Preto, Brazil.
Eder Rezende de MoraesDepartment of Physics, Faculty of Philosophy, Sciences and Literature of Ribeirão Preto (FFCLRP), University of São Paulo (USP), Ribeirão Preto, Brazil.
Lauro Wichert-AnaNuclear Medicine and PET/CT Section, Department of Medical Imaging, Hematology, and Clinical Oncology, University of São Paulo (USP), Ribeirão Preto, Brazil. lwichert@fmrp.usp.br.ORCID http://orcid.org/0000-0003-2059-5120

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/25987-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/12671-3
6 · The paper itself

Abstract

BACKGROUND AND

aimsMolecular imaging of the dopamine transporters (DAT) provides valuable information about neurodegenerative diseases, such as Parkinson's. This study assessed the accuracy and precision of DAT-SPECT quantification methods.

methodsTwenty-three DAT-SPECT images of a striatal phantom were acquired. The specific (caudate and putamen) and the non-specific (background activity) chambers were filled with [

resultsThe SBR quantified in the specific and striatal chambers resulted in a CCC increase with a decrease in the nominal values. For lower SBR, MRI and CT showed higher CCCs when caudate ([Formula: see text] = 0.89 e [Formula: see text] = 0.84) and putamen ([Formula: see text] = 0.86 e [Formula: see text] = 0.82) were evaluated. For striatal assessments, the TwoBox method was the most accurate ([Formula: see text] = 0.95). High Pearson's coefficients were found in the correlations between all methods.

conclusionsAll five methods showed high precision even when applied to images with different activities. MRI and CT were the most accurate for assessing the caudate or putamen. To assess the striatal chamber and in the absence of structural information, the TwoBox method is advisable.

Indexed as

BrainDopamine transporterQuantificationSPECT

Identifiers

PMID36577862
PMCPMC9797635

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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.