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Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review
Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and consistency in dementia diagnosis through the use of quantitative volumetric reporting tools (QReports). Translation into clinical settings should follow a structured framework of development, including technic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528755/ https://www.ncbi.nlm.nih.gov/pubmed/34476511 http://dx.doi.org/10.1007/s00234-021-02746-3 |
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author | Pemberton, Hugh G. Zaki, Lara A. M. Goodkin, Olivia Das, Ravi K. Steketee, Rebecca M. E. Barkhof, Frederik Vernooij, Meike W. |
author_facet | Pemberton, Hugh G. Zaki, Lara A. M. Goodkin, Olivia Das, Ravi K. Steketee, Rebecca M. E. Barkhof, Frederik Vernooij, Meike W. |
author_sort | Pemberton, Hugh G. |
collection | PubMed |
description | Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and consistency in dementia diagnosis through the use of quantitative volumetric reporting tools (QReports). Translation into clinical settings should follow a structured framework of development, including technical and clinical validation steps. However, published technical and clinical validation of the available commercial/proprietary tools is not always easy to find and pathways for successful integration into the clinical workflow are varied. The quantitative neuroradiology initiative (QNI) framework highlights six necessary steps for the development, validation and integration of quantitative tools in the clinic. In this paper, we reviewed the published evidence regarding regulatory-approved QReports for use in the memory clinic and to what extent this evidence fulfils the steps of the QNI framework. We summarize unbiased technical details of available products in order to increase the transparency of evidence and present the range of reporting tools on the market. Our intention is to assist neuroradiologists in making informed decisions regarding the adoption of these methods in the clinic. For the 17 products identified, 11 companies have published some form of technical validation on their methods, but only 4 have published clinical validation of their QReports in a dementia population. Upon systematically reviewing the published evidence for regulatory-approved QReports in dementia, we concluded that there is a significant evidence gap in the literature regarding clinical validation, workflow integration and in-use evaluation of these tools in dementia MRI diagnosis. |
format | Online Article Text |
id | pubmed-8528755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-85287552021-11-04 Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review Pemberton, Hugh G. Zaki, Lara A. M. Goodkin, Olivia Das, Ravi K. Steketee, Rebecca M. E. Barkhof, Frederik Vernooij, Meike W. Neuroradiology Review Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and consistency in dementia diagnosis through the use of quantitative volumetric reporting tools (QReports). Translation into clinical settings should follow a structured framework of development, including technical and clinical validation steps. However, published technical and clinical validation of the available commercial/proprietary tools is not always easy to find and pathways for successful integration into the clinical workflow are varied. The quantitative neuroradiology initiative (QNI) framework highlights six necessary steps for the development, validation and integration of quantitative tools in the clinic. In this paper, we reviewed the published evidence regarding regulatory-approved QReports for use in the memory clinic and to what extent this evidence fulfils the steps of the QNI framework. We summarize unbiased technical details of available products in order to increase the transparency of evidence and present the range of reporting tools on the market. Our intention is to assist neuroradiologists in making informed decisions regarding the adoption of these methods in the clinic. For the 17 products identified, 11 companies have published some form of technical validation on their methods, but only 4 have published clinical validation of their QReports in a dementia population. Upon systematically reviewing the published evidence for regulatory-approved QReports in dementia, we concluded that there is a significant evidence gap in the literature regarding clinical validation, workflow integration and in-use evaluation of these tools in dementia MRI diagnosis. Springer Berlin Heidelberg 2021-09-03 2021 /pmc/articles/PMC8528755/ /pubmed/34476511 http://dx.doi.org/10.1007/s00234-021-02746-3 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Pemberton, Hugh G. Zaki, Lara A. M. Goodkin, Olivia Das, Ravi K. Steketee, Rebecca M. E. Barkhof, Frederik Vernooij, Meike W. Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review |
title | Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review |
title_full | Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review |
title_fullStr | Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review |
title_full_unstemmed | Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review |
title_short | Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review |
title_sort | technical and clinical validation of commercial automated volumetric mri tools for dementia diagnosis—a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528755/ https://www.ncbi.nlm.nih.gov/pubmed/34476511 http://dx.doi.org/10.1007/s00234-021-02746-3 |
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