A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images
Background: [18F]flutemetamol PET scanning provides information on brain amyloid load and has been approved for routine clinical use based upon visual interpretation as either negative (equating to none or sparse amyloid plaques) or amyloid positive (equating to moderate or frequent plaques). Quanti...
| Autores: | , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/48454 |
| Acceso en línea: | http://hdl.handle.net/10230/48454 http://dx.doi.org/10.1007/s00259-021-05311-5 |
| Access Level: | acceso abierto |
| Palabra clave: | Alzheimer’s disease Amyloid PET Image interpretation Quantification Visual inspection [18F]flutemetamol |
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| dc.title.none.fl_str_mv |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images |
| title |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images |
| spellingShingle |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images Bucci, Marco Alzheimer’s disease Amyloid PET Image interpretation Quantification Visual inspection [18F]flutemetamol |
| title_short |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images |
| title_full |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images |
| title_fullStr |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images |
| title_full_unstemmed |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images |
| title_sort |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images |
| dc.creator.none.fl_str_mv |
Bucci, Marco Savitcheva, Irina Farrar, Gill Salvadó, Gemma Collij, Lyduine E. Doré, Vincent Gispert, Juan Domingo Gunn, Roger Hanseeuw, Bernard Hansson, Oskar Shekari, Mahnaz Lhommel, Renaud Molinuevo, José Luis Rowe, Christopher Sur, Cyrille Whittington, Alex Buckley, Christopher, 1948- Nordberg, Agneta |
| author |
Bucci, Marco |
| author_facet |
Bucci, Marco Savitcheva, Irina Farrar, Gill Salvadó, Gemma Collij, Lyduine E. Doré, Vincent Gispert, Juan Domingo Gunn, Roger Hanseeuw, Bernard Hansson, Oskar Shekari, Mahnaz Lhommel, Renaud Molinuevo, José Luis Rowe, Christopher Sur, Cyrille Whittington, Alex Buckley, Christopher, 1948- Nordberg, Agneta |
| author_role |
author |
| author2 |
Savitcheva, Irina Farrar, Gill Salvadó, Gemma Collij, Lyduine E. Doré, Vincent Gispert, Juan Domingo Gunn, Roger Hanseeuw, Bernard Hansson, Oskar Shekari, Mahnaz Lhommel, Renaud Molinuevo, José Luis Rowe, Christopher Sur, Cyrille Whittington, Alex Buckley, Christopher, 1948- Nordberg, Agneta |
| author2_role |
author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Alzheimer’s disease Amyloid PET Image interpretation Quantification Visual inspection [18F]flutemetamol |
| topic |
Alzheimer’s disease Amyloid PET Image interpretation Quantification Visual inspection [18F]flutemetamol |
| description |
Background: [18F]flutemetamol PET scanning provides information on brain amyloid load and has been approved for routine clinical use based upon visual interpretation as either negative (equating to none or sparse amyloid plaques) or amyloid positive (equating to moderate or frequent plaques). Quantitation is however fundamental to the practice of nuclear medicine and hence can be used to supplement amyloid reading methodology especially in unclear cases. Methods: A total of 2770 [18F]flutemetamol images were collected from 3 clinical studies and 6 research cohorts with available visual reading of [18F]flutemetamol and quantitative analysis of images. These were assessed further to examine both the discordance and concordance between visual and quantitative imaging primarily using thresholds robustly established using pathology as the standard of truth. Scans covered a wide range of cases (i.e. from cognitively unimpaired subjects to patients attending the memory clinics). Methods of quantifying amyloid ranged from using CE/510K cleared marked software (e.g. CortexID, Brass), to other research-based methods (e.g. PMOD, CapAIBL). Additionally, the clinical follow-up of two types of discordance between visual and quantitation (V+Q- and V-Q+) was examined with competing risk regression analysis to assess possible differences in prediction for progression to Alzheimer's disease (AD) and other diagnoses (OD). Results: Weighted mean concordance between visual and quantitation using the autopsy-derived threshold was 94% using pons as the reference region. Concordance from a sensitivity analysis which assessed the maximum agreement for each cohort using a range of cut-off values was also estimated at approximately 96% (weighted mean). Agreement was generally higher in clinical cases compared to research cases. V-Q+ discordant cases were 11% more likely to progress to AD than V+Q- for the SUVr with pons as reference region. Conclusions: Quantitation of amyloid PET shows a high agreement vs binary visual reading and also allows for a continuous measure that, in conjunction with possible discordant analysis, could be used in the future to identify possible earlier pathological deposition as well as monitor disease progression and treatment effectiveness. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2021 2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10230/48454 http://dx.doi.org/10.1007/s00259-021-05311-5 |
| url |
http://hdl.handle.net/10230/48454 http://dx.doi.org/10.1007/s00259-021-05311-5 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Eur J Nucl Med Mol Imaging. 2021;48(7):2183-99 |
| dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Springer |
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Springer |
| dc.source.none.fl_str_mv |
reponame:Repositorio Digital de la UPF instname:Universitat Pompeu Fabra |
| instname_str |
Universitat Pompeu Fabra |
| reponame_str |
Repositorio Digital de la UPF |
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Repositorio Digital de la UPF |
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1869418038501048320 |
| spelling |
A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET imagesBucci, MarcoSavitcheva, IrinaFarrar, GillSalvadó, GemmaCollij, Lyduine E.Doré, VincentGispert, Juan DomingoGunn, RogerHanseeuw, BernardHansson, OskarShekari, MahnazLhommel, RenaudMolinuevo, José LuisRowe, ChristopherSur, CyrilleWhittington, AlexBuckley, Christopher, 1948-Nordberg, AgnetaAlzheimer’s diseaseAmyloid PETImage interpretationQuantificationVisual inspection[18F]flutemetamolBackground: [18F]flutemetamol PET scanning provides information on brain amyloid load and has been approved for routine clinical use based upon visual interpretation as either negative (equating to none or sparse amyloid plaques) or amyloid positive (equating to moderate or frequent plaques). Quantitation is however fundamental to the practice of nuclear medicine and hence can be used to supplement amyloid reading methodology especially in unclear cases. Methods: A total of 2770 [18F]flutemetamol images were collected from 3 clinical studies and 6 research cohorts with available visual reading of [18F]flutemetamol and quantitative analysis of images. These were assessed further to examine both the discordance and concordance between visual and quantitative imaging primarily using thresholds robustly established using pathology as the standard of truth. Scans covered a wide range of cases (i.e. from cognitively unimpaired subjects to patients attending the memory clinics). Methods of quantifying amyloid ranged from using CE/510K cleared marked software (e.g. CortexID, Brass), to other research-based methods (e.g. PMOD, CapAIBL). Additionally, the clinical follow-up of two types of discordance between visual and quantitation (V+Q- and V-Q+) was examined with competing risk regression analysis to assess possible differences in prediction for progression to Alzheimer's disease (AD) and other diagnoses (OD). Results: Weighted mean concordance between visual and quantitation using the autopsy-derived threshold was 94% using pons as the reference region. Concordance from a sensitivity analysis which assessed the maximum agreement for each cohort using a range of cut-off values was also estimated at approximately 96% (weighted mean). Agreement was generally higher in clinical cases compared to research cases. V-Q+ discordant cases were 11% more likely to progress to AD than V+Q- for the SUVr with pons as reference region. Conclusions: Quantitation of amyloid PET shows a high agreement vs binary visual reading and also allows for a continuous measure that, in conjunction with possible discordant analysis, could be used in the future to identify possible earlier pathological deposition as well as monitor disease progression and treatment effectiveness.Springer202120212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/48454http://dx.doi.org/10.1007/s00259-021-05311-5reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésEur J Nucl Med Mol Imaging. 2021;48(7):2183-99© The Author(s) 2021. 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/.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/484542026-06-12T07:21:37Z |
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