Cargando…

An account of data entry inconsistencies and their impact on positron emission tomography quantification

Reproducibility is essential to clinical application of positron emission tomography (PET) quantification. Human lapses in data registration and protocol compliance are pervasive sources of intrasite quantification variability. Although rarely assessed or reported, these lapses are ultimately a limi...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Tram, Baun, Christina, Høilund-Carlsen, Poul Flemming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156030/
https://www.ncbi.nlm.nih.gov/pubmed/30212971
http://dx.doi.org/10.1097/MD.0000000000012312
_version_ 1783358017117356032
author Nguyen, Tram
Baun, Christina
Høilund-Carlsen, Poul Flemming
author_facet Nguyen, Tram
Baun, Christina
Høilund-Carlsen, Poul Flemming
author_sort Nguyen, Tram
collection PubMed
description Reproducibility is essential to clinical application of positron emission tomography (PET) quantification. Human lapses in data registration and protocol compliance are pervasive sources of intrasite quantification variability. Although rarely assessed or reported, these lapses are ultimately a limitation to harmonization in multicenter clinical trials. A comprehensive account of their possible extent is relayed here. This is a retrospective audit of errors in manual registration of study parameters and in protocol adherence across a sample of in-center research projects over one year (201 patients, 222 PET/CT scans). Discrepancies in patient height and weight; tracer type; dose; injection; and scan times were listed. Correspondent variances in standardized uptake values (SUVs) normalized by body weight, SUV (BW), and body surface area, SUV (BSA), were assessed. Manual misregistrations totalled 41.8%. These were mainly small, but with a few large deviations, and most significant in weight (range: -1–100 kg) and dose (-19 to 12 MBq). Errors were more frequent and generally larger in non-routine studies. This also applied to protocol compliance. A 50.7% noncompliance was found with significant deviations in dose (-106 to 208 MBq) and especially in early scan uptake times (-37 to 54 min). Although misregistrations did not overall translate into significant SUV variability, noncompliance did. These errors contributed a factor 0.02 to 1.45 and 0.71 to 3.09 SUV (BW) change, respectively. SUV (BSA) saw a significant 21% to 22% decrease with mistyped height and weight. Inconsistency was frequent but less prominent in data entry than in protocol compliance. As both caused some substantial SUV variances, intra-site assessments and data checking are required for clinical trials.
format Online
Article
Text
id pubmed-6156030
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-61560302018-11-08 An account of data entry inconsistencies and their impact on positron emission tomography quantification Nguyen, Tram Baun, Christina Høilund-Carlsen, Poul Flemming Medicine (Baltimore) Research Article Reproducibility is essential to clinical application of positron emission tomography (PET) quantification. Human lapses in data registration and protocol compliance are pervasive sources of intrasite quantification variability. Although rarely assessed or reported, these lapses are ultimately a limitation to harmonization in multicenter clinical trials. A comprehensive account of their possible extent is relayed here. This is a retrospective audit of errors in manual registration of study parameters and in protocol adherence across a sample of in-center research projects over one year (201 patients, 222 PET/CT scans). Discrepancies in patient height and weight; tracer type; dose; injection; and scan times were listed. Correspondent variances in standardized uptake values (SUVs) normalized by body weight, SUV (BW), and body surface area, SUV (BSA), were assessed. Manual misregistrations totalled 41.8%. These were mainly small, but with a few large deviations, and most significant in weight (range: -1–100 kg) and dose (-19 to 12 MBq). Errors were more frequent and generally larger in non-routine studies. This also applied to protocol compliance. A 50.7% noncompliance was found with significant deviations in dose (-106 to 208 MBq) and especially in early scan uptake times (-37 to 54 min). Although misregistrations did not overall translate into significant SUV variability, noncompliance did. These errors contributed a factor 0.02 to 1.45 and 0.71 to 3.09 SUV (BW) change, respectively. SUV (BSA) saw a significant 21% to 22% decrease with mistyped height and weight. Inconsistency was frequent but less prominent in data entry than in protocol compliance. As both caused some substantial SUV variances, intra-site assessments and data checking are required for clinical trials. Wolters Kluwer Health 2018-09-14 /pmc/articles/PMC6156030/ /pubmed/30212971 http://dx.doi.org/10.1097/MD.0000000000012312 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Nguyen, Tram
Baun, Christina
Høilund-Carlsen, Poul Flemming
An account of data entry inconsistencies and their impact on positron emission tomography quantification
title An account of data entry inconsistencies and their impact on positron emission tomography quantification
title_full An account of data entry inconsistencies and their impact on positron emission tomography quantification
title_fullStr An account of data entry inconsistencies and their impact on positron emission tomography quantification
title_full_unstemmed An account of data entry inconsistencies and their impact on positron emission tomography quantification
title_short An account of data entry inconsistencies and their impact on positron emission tomography quantification
title_sort account of data entry inconsistencies and their impact on positron emission tomography quantification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156030/
https://www.ncbi.nlm.nih.gov/pubmed/30212971
http://dx.doi.org/10.1097/MD.0000000000012312
work_keys_str_mv AT nguyentram anaccountofdataentryinconsistenciesandtheirimpactonpositronemissiontomographyquantification
AT baunchristina anaccountofdataentryinconsistenciesandtheirimpactonpositronemissiontomographyquantification
AT høilundcarlsenpoulflemming anaccountofdataentryinconsistenciesandtheirimpactonpositronemissiontomographyquantification
AT nguyentram accountofdataentryinconsistenciesandtheirimpactonpositronemissiontomographyquantification
AT baunchristina accountofdataentryinconsistenciesandtheirimpactonpositronemissiontomographyquantification
AT høilundcarlsenpoulflemming accountofdataentryinconsistenciesandtheirimpactonpositronemissiontomographyquantification