Cargando…
Validation of semi-automated flow-mediated dilation measurement in healthy volunteers
Flow-mediated dilation (FMD) is a non-invasive imaging modality used to measure endothelial function but has significant intra- and inter-observer variability. The use of semi-automated FMD devices could overcome this limitation. We assessed the reproducibility of same-day semi-automated FMD measure...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331823/ https://www.ncbi.nlm.nih.gov/pubmed/32304385 http://dx.doi.org/10.1097/MBP.0000000000000448 |
_version_ | 1783553407735300096 |
---|---|
author | Dobbie, Laurence J. Mackin, Sharon T. Hogarth, Katrina Lonergan, Frances Kannenkeril, Dennis Brooksbank, Katriona Delles, Christian |
author_facet | Dobbie, Laurence J. Mackin, Sharon T. Hogarth, Katrina Lonergan, Frances Kannenkeril, Dennis Brooksbank, Katriona Delles, Christian |
author_sort | Dobbie, Laurence J. |
collection | PubMed |
description | Flow-mediated dilation (FMD) is a non-invasive imaging modality used to measure endothelial function but has significant intra- and inter-observer variability. The use of semi-automated FMD devices could overcome this limitation. We assessed the reproducibility of same-day semi-automated FMD measurements by investigators who received basic training on the correct use of the device. METHODS: Forty-three healthy volunteers had two brachial artery FMD measurements performed 20 minutes apart using the UNEX EF 38G device, and automated outputs were produced. Images were also manually analysed using edge-detection software. The reproducibility of repeat FMD measurements within individuals was compared for automated and manual readings, and the correlation between analytical techniques was calculated. RESULTS: Twenty-five percent of scans were of non-diagnostic quality (n = 32). Automated analyses demonstrated sub-optimal reproducibility and measurement variability [intraclass correlation coefficient (ICCC) = 0.334, coefficient of variation (CV) = 45.87%]. In contrast, manually analysed scans had excellent reproducibility and low measurement variance (ICCC = 0.815, CV = 11.40%). FMD values obtained from automated and manual analysis correlated poorly (r = 0.164), whereas resting (r = 0.955) and maximal brachial artery diameters demonstrated excellent correlation (r = 0.867). CONCLUSION: Manually evaluated serial UNEX EF readings have good reproducibility and therefore, the optimal FMD workflow involves manual analyses prior to independent automated interrogation. The high non-diagnostic scan rate is most likely the result of insufficient training and indicates that semi-automatic devices such as UNEX EF should be used by experienced investigators to achieve optimal results. |
format | Online Article Text |
id | pubmed-7331823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-73318232020-07-13 Validation of semi-automated flow-mediated dilation measurement in healthy volunteers Dobbie, Laurence J. Mackin, Sharon T. Hogarth, Katrina Lonergan, Frances Kannenkeril, Dennis Brooksbank, Katriona Delles, Christian Blood Press Monit Analytic Methods and Statistical Analysis Flow-mediated dilation (FMD) is a non-invasive imaging modality used to measure endothelial function but has significant intra- and inter-observer variability. The use of semi-automated FMD devices could overcome this limitation. We assessed the reproducibility of same-day semi-automated FMD measurements by investigators who received basic training on the correct use of the device. METHODS: Forty-three healthy volunteers had two brachial artery FMD measurements performed 20 minutes apart using the UNEX EF 38G device, and automated outputs were produced. Images were also manually analysed using edge-detection software. The reproducibility of repeat FMD measurements within individuals was compared for automated and manual readings, and the correlation between analytical techniques was calculated. RESULTS: Twenty-five percent of scans were of non-diagnostic quality (n = 32). Automated analyses demonstrated sub-optimal reproducibility and measurement variability [intraclass correlation coefficient (ICCC) = 0.334, coefficient of variation (CV) = 45.87%]. In contrast, manually analysed scans had excellent reproducibility and low measurement variance (ICCC = 0.815, CV = 11.40%). FMD values obtained from automated and manual analysis correlated poorly (r = 0.164), whereas resting (r = 0.955) and maximal brachial artery diameters demonstrated excellent correlation (r = 0.867). CONCLUSION: Manually evaluated serial UNEX EF readings have good reproducibility and therefore, the optimal FMD workflow involves manual analyses prior to independent automated interrogation. The high non-diagnostic scan rate is most likely the result of insufficient training and indicates that semi-automatic devices such as UNEX EF should be used by experienced investigators to achieve optimal results. Lippincott Williams & Wilkins 2020-05-11 2020-08 /pmc/articles/PMC7331823/ /pubmed/32304385 http://dx.doi.org/10.1097/MBP.0000000000000448 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/) (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Analytic Methods and Statistical Analysis Dobbie, Laurence J. Mackin, Sharon T. Hogarth, Katrina Lonergan, Frances Kannenkeril, Dennis Brooksbank, Katriona Delles, Christian Validation of semi-automated flow-mediated dilation measurement in healthy volunteers |
title | Validation of semi-automated flow-mediated dilation measurement in healthy volunteers |
title_full | Validation of semi-automated flow-mediated dilation measurement in healthy volunteers |
title_fullStr | Validation of semi-automated flow-mediated dilation measurement in healthy volunteers |
title_full_unstemmed | Validation of semi-automated flow-mediated dilation measurement in healthy volunteers |
title_short | Validation of semi-automated flow-mediated dilation measurement in healthy volunteers |
title_sort | validation of semi-automated flow-mediated dilation measurement in healthy volunteers |
topic | Analytic Methods and Statistical Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331823/ https://www.ncbi.nlm.nih.gov/pubmed/32304385 http://dx.doi.org/10.1097/MBP.0000000000000448 |
work_keys_str_mv | AT dobbielaurencej validationofsemiautomatedflowmediateddilationmeasurementinhealthyvolunteers AT mackinsharont validationofsemiautomatedflowmediateddilationmeasurementinhealthyvolunteers AT hogarthkatrina validationofsemiautomatedflowmediateddilationmeasurementinhealthyvolunteers AT lonerganfrances validationofsemiautomatedflowmediateddilationmeasurementinhealthyvolunteers AT kannenkerildennis validationofsemiautomatedflowmediateddilationmeasurementinhealthyvolunteers AT brooksbankkatriona validationofsemiautomatedflowmediateddilationmeasurementinhealthyvolunteers AT delleschristian validationofsemiautomatedflowmediateddilationmeasurementinhealthyvolunteers |