Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC)
| Autor(a) principal: | |
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| Data de Publicação: | 2019 |
| Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| Texto Completo: | http://hdl.handle.net/10451/52357 |
Resumo: | © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/) |
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Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC)Amyloid PETSemi-quantificationVisual assessment© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/)Background: amyloid-PET reading has been classically implemented as a binary assessment, although the clinical experience has shown that the number of borderline cases is non negligible not only in epidemiological studies of asymptomatic subjects but also in naturalistic groups of symptomatic patients attending memory clinics. In this work we develop a model to compare and integrate visual reading with two independent semi-quantification methods in order to obtain a tracer-independent multi-parametric evaluation. Methods: We retrospectively enrolled three cohorts of cognitively impaired patients submitted to 18F-florbetaben (53 subjects), 18F-flutemetamol (62 subjects), 18F-florbetapir (60 subjects) PET/CT respectively, in 6 European centres belonging to the EADC. The 175 scans were visually classified as positive/negative following approved criteria and further classified with a 5-step grading as negative, mild negative, borderline, mild positive, positive by 5 independent readers, blind to clinical data. Scan quality was also visually assessed and recorded. Semi-quantification was based on two quantifiers: the standardized uptake value (SUVr) and the ELBA method. We used a sigmoid model to relate the grading with the quantifiers. We measured the readers accord and inconsistencies in the visual assessment as well as the relationship between discrepancies on the grading and semi-quantifications. Conclusion: It is possible to construct a map between different tracers and different quantification methods without resorting to ad-hoc acquired cases. We used a 5-level visual scale which, together with a mathematical model, delivered cut-offs and transition regions on tracers that are (largely) independent from the population. All fluorinated tracers appeared to have the same contrast and discrimination ability with respect to the negative-to-positive grading. We validated the integration of both visual reading and different quantifiers in a more robust framework thus bridging the gap between a binary and a user-independent continuous scale.V.G. was supported by the Swiss National Science Foundation (under grant SNF 320030_169876) and by the Velux Stiftung (project n. 1123). E.P. was supported by Airalzh Onlus – COOP Italia (grant number 138812/Rep n° 2459).ElsevierRepositório da Universidade de LisboaChincarini, A.Peira, E.Morbelli, S.Pardini, M.Bauckneht, M.Arbizu, J.Castelo-Branco, MiguelBüsing, K. A.De Mendonça, AlexandreDidic, M.Dottorini, M.Engelborghs, S.Ferrarese, C.Frisoni, G. B.Garibotto, V.Guedj, E.Hausner, L.Hugon, J.Verhaeghe, J.Mecocci, P.Musarra, M.Queneau, M.Riverol, M.Santana, I.Guerra, U. P.Nobili, F.2022-04-14T15:27:56Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/52357engNeuroimage Clin. 2019;23:10184610.1016/j.nicl.2019.1018462213-1582info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:57:31Zoai:repositorio.ul.pt:10451/52357Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:03:28.480424Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
| dc.title.none.fl_str_mv |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) |
| title |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) |
| spellingShingle |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) Chincarini, A. Amyloid PET Semi-quantification Visual assessment |
| title_short |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) |
| title_full |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) |
| title_fullStr |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) |
| title_full_unstemmed |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) |
| title_sort |
Semi-quantification and grading of amyloid PET: a project of the European Alzheimer's Disease Consortium (EADC) |
| author |
Chincarini, A. |
| author_facet |
Chincarini, A. Peira, E. Morbelli, S. Pardini, M. Bauckneht, M. Arbizu, J. Castelo-Branco, Miguel Büsing, K. A. De Mendonça, Alexandre Didic, M. Dottorini, M. Engelborghs, S. Ferrarese, C. Frisoni, G. B. Garibotto, V. Guedj, E. Hausner, L. Hugon, J. Verhaeghe, J. Mecocci, P. Musarra, M. Queneau, M. Riverol, M. Santana, I. Guerra, U. P. Nobili, F. |
| author_role |
author |
| author2 |
Peira, E. Morbelli, S. Pardini, M. Bauckneht, M. Arbizu, J. Castelo-Branco, Miguel Büsing, K. A. De Mendonça, Alexandre Didic, M. Dottorini, M. Engelborghs, S. Ferrarese, C. Frisoni, G. B. Garibotto, V. Guedj, E. Hausner, L. Hugon, J. Verhaeghe, J. Mecocci, P. Musarra, M. Queneau, M. Riverol, M. Santana, I. Guerra, U. P. Nobili, F. |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
| dc.contributor.author.fl_str_mv |
Chincarini, A. Peira, E. Morbelli, S. Pardini, M. Bauckneht, M. Arbizu, J. Castelo-Branco, Miguel Büsing, K. A. De Mendonça, Alexandre Didic, M. Dottorini, M. Engelborghs, S. Ferrarese, C. Frisoni, G. B. Garibotto, V. Guedj, E. Hausner, L. Hugon, J. Verhaeghe, J. Mecocci, P. Musarra, M. Queneau, M. Riverol, M. Santana, I. Guerra, U. P. Nobili, F. |
| dc.subject.por.fl_str_mv |
Amyloid PET Semi-quantification Visual assessment |
| topic |
Amyloid PET Semi-quantification Visual assessment |
| description |
© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/) |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z 2022-04-14T15:27:56Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/52357 |
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http://hdl.handle.net/10451/52357 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Neuroimage Clin. 2019;23:101846 10.1016/j.nicl.2019.101846 2213-1582 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Elsevier |
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Elsevier |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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