Cargando…
Comparison of automated quantification of amyloid deposition between PMOD and Heuron
Several programs are widely used for clinical and research purposes to automatically quantify the degree of amyloid deposition in the brain using positron emission tomography (PET) images. Given that very few studies have investigated the use of Heuron, a PET image quantification software approved f...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279744/ https://www.ncbi.nlm.nih.gov/pubmed/37336977 http://dx.doi.org/10.1038/s41598-023-36986-5 |
_version_ | 1785060654448640000 |
---|---|
author | Roh, Hyun Woong Son, Sang Joon Hong, Chang Hyung Moon, So Young Lee, Sun Min Seo, Sang Won Choi, Seong Hye Kim, Eun-Joo Cho, Soo Hyun Kim, Byeong Chae Park, Seongbeom Song, Soohwa An, Young-Sil |
author_facet | Roh, Hyun Woong Son, Sang Joon Hong, Chang Hyung Moon, So Young Lee, Sun Min Seo, Sang Won Choi, Seong Hye Kim, Eun-Joo Cho, Soo Hyun Kim, Byeong Chae Park, Seongbeom Song, Soohwa An, Young-Sil |
author_sort | Roh, Hyun Woong |
collection | PubMed |
description | Several programs are widely used for clinical and research purposes to automatically quantify the degree of amyloid deposition in the brain using positron emission tomography (PET) images. Given that very few studies have investigated the use of Heuron, a PET image quantification software approved for clinical use, this study aimed to compare amyloid deposition values quantified from (18)F-flutemetamol PET images using PMOD and Heuron. Amyloid PET data obtained from 408 patients were analysed using each quantitative program; moreover, the standardized uptake value ratios (SUVRs) of target areas were obtained by dividing the standardized uptake value (SUV) of the target region by the SUV of cerebellar grey matter as a reference. Compared with PMOD, Heuron yielded significantly higher SUVRs for all target areas (paired sample t-test, p < 0.001), except for the PC/PCC (p = 0.986). However, the Bland–Altman plot analysis indicated that the two quantitative methods may be used interchangeably. Moreover, receiver operating characteristic curve analysis revealed no significant between-method difference in the performance of the SUVRs in evaluating the visual positivity of amyloid deposits (p = 0.948). In conclusion, Heuron and PMOD have comparable performance in quantifying the degree of amyloid deposits in PET images. |
format | Online Article Text |
id | pubmed-10279744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102797442023-06-21 Comparison of automated quantification of amyloid deposition between PMOD and Heuron Roh, Hyun Woong Son, Sang Joon Hong, Chang Hyung Moon, So Young Lee, Sun Min Seo, Sang Won Choi, Seong Hye Kim, Eun-Joo Cho, Soo Hyun Kim, Byeong Chae Park, Seongbeom Song, Soohwa An, Young-Sil Sci Rep Article Several programs are widely used for clinical and research purposes to automatically quantify the degree of amyloid deposition in the brain using positron emission tomography (PET) images. Given that very few studies have investigated the use of Heuron, a PET image quantification software approved for clinical use, this study aimed to compare amyloid deposition values quantified from (18)F-flutemetamol PET images using PMOD and Heuron. Amyloid PET data obtained from 408 patients were analysed using each quantitative program; moreover, the standardized uptake value ratios (SUVRs) of target areas were obtained by dividing the standardized uptake value (SUV) of the target region by the SUV of cerebellar grey matter as a reference. Compared with PMOD, Heuron yielded significantly higher SUVRs for all target areas (paired sample t-test, p < 0.001), except for the PC/PCC (p = 0.986). However, the Bland–Altman plot analysis indicated that the two quantitative methods may be used interchangeably. Moreover, receiver operating characteristic curve analysis revealed no significant between-method difference in the performance of the SUVRs in evaluating the visual positivity of amyloid deposits (p = 0.948). In conclusion, Heuron and PMOD have comparable performance in quantifying the degree of amyloid deposits in PET images. Nature Publishing Group UK 2023-06-19 /pmc/articles/PMC10279744/ /pubmed/37336977 http://dx.doi.org/10.1038/s41598-023-36986-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Roh, Hyun Woong Son, Sang Joon Hong, Chang Hyung Moon, So Young Lee, Sun Min Seo, Sang Won Choi, Seong Hye Kim, Eun-Joo Cho, Soo Hyun Kim, Byeong Chae Park, Seongbeom Song, Soohwa An, Young-Sil Comparison of automated quantification of amyloid deposition between PMOD and Heuron |
title | Comparison of automated quantification of amyloid deposition between PMOD and Heuron |
title_full | Comparison of automated quantification of amyloid deposition between PMOD and Heuron |
title_fullStr | Comparison of automated quantification of amyloid deposition between PMOD and Heuron |
title_full_unstemmed | Comparison of automated quantification of amyloid deposition between PMOD and Heuron |
title_short | Comparison of automated quantification of amyloid deposition between PMOD and Heuron |
title_sort | comparison of automated quantification of amyloid deposition between pmod and heuron |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279744/ https://www.ncbi.nlm.nih.gov/pubmed/37336977 http://dx.doi.org/10.1038/s41598-023-36986-5 |
work_keys_str_mv | AT rohhyunwoong comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT sonsangjoon comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT hongchanghyung comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT moonsoyoung comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT leesunmin comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT seosangwon comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT choiseonghye comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT kimeunjoo comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT chosoohyun comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT kimbyeongchae comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT parkseongbeom comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT songsoohwa comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron AT anyoungsil comparisonofautomatedquantificationofamyloiddepositionbetweenpmodandheuron |