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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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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 |
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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 |
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