MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials
The final publication is available at IOS Press through http://dx.doi.org/10.3233/JAD-180299”.
| Autores: | , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/127331 |
| Acceso en línea: | https://hdl.handle.net/2117/127331 https://dx.doi.org/10.3233/JAD-180299 |
| Access Level: | acceso abierto |
| Palabra clave: | Machine learning Alzheimer's disease Amyloid pathology Clinical trial Preclinical Alzheimer’s disease Screening Secondaryprevention Aprenentatge automàtic Alzheimer, Malaltia d' Àrees temàtiques de la UPC::Ciències de la salut::Medicina Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
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MRI-based screening of preclinical Alzheimer's disease for prevention clinical trialsCasamitjana Díaz, Adrià|||0000-0002-0539-3638Petrone, PaulaTucholka, AlanFalcón, CarlosSkouras, StavrosMolinuevo, José LuisVilaplana Besler, Verónica|||0000-0001-6924-9961Gispert, Juan DomingoMachine learningAlzheimer's diseaseAmyloid pathologyClinical trialMachine learningPreclinical Alzheimer’s diseaseScreeningSecondarypreventionAprenentatge automàticAlzheimer, Malaltia d'Àrees temàtiques de la UPC::Ciències de la salut::MedicinaÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàticThe final publication is available at IOS Press through http://dx.doi.org/10.3233/JAD-180299”.The identification of healthy individuals harboring amyloid pathology represents one important challenge for secondary prevention clinical trials in Alzheimer’s disease (AD). Consequently, noninvasive and cost-efficient techniques to detect preclinical AD constitute an unmet need of critical importance. In this manuscript, we apply machine learning to structural MRI (T1 and DTI) of 96 cognitively normal subjects to identify amyloid-positive ones. Models were trained on public ADNI data and validated on an independent local cohort. Used for subject classification in a simulated clinical trial setting, the proposed method is able to save 60% of unnecessary CSF/PET tests and to reduce 47% of the cost of recruitment. This recruitment strategy capitalizes on available MR scans to reduce the overall amount of invasive PET/CSF tests in prevention trials, demonstrating a potential value as a tool for preclinical AD screening. This protocol could foster the development of secondary prevention strategies for AD.Peer ReviewedIOS Press20182018-01-0120192019-01-22journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/127331https://dx.doi.org/10.3233/JAD-180299reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1273312026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials |
| title |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials |
| spellingShingle |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials Casamitjana Díaz, Adrià|||0000-0002-0539-3638 Machine learning Alzheimer's disease Amyloid pathology Clinical trial Machine learning Preclinical Alzheimer’s disease Screening Secondaryprevention Aprenentatge automàtic Alzheimer, Malaltia d' Àrees temàtiques de la UPC::Ciències de la salut::Medicina Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
| title_short |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials |
| title_full |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials |
| title_fullStr |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials |
| title_full_unstemmed |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials |
| title_sort |
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials |
| dc.creator.none.fl_str_mv |
Casamitjana Díaz, Adrià|||0000-0002-0539-3638 Petrone, Paula Tucholka, Alan Falcón, Carlos Skouras, Stavros Molinuevo, José Luis Vilaplana Besler, Verónica|||0000-0001-6924-9961 Gispert, Juan Domingo |
| author |
Casamitjana Díaz, Adrià|||0000-0002-0539-3638 |
| author_facet |
Casamitjana Díaz, Adrià|||0000-0002-0539-3638 Petrone, Paula Tucholka, Alan Falcón, Carlos Skouras, Stavros Molinuevo, José Luis Vilaplana Besler, Verónica|||0000-0001-6924-9961 Gispert, Juan Domingo |
| author_role |
author |
| author2 |
Petrone, Paula Tucholka, Alan Falcón, Carlos Skouras, Stavros Molinuevo, José Luis Vilaplana Besler, Verónica|||0000-0001-6924-9961 Gispert, Juan Domingo |
| author2_role |
author author author author author author author |
| dc.subject.none.fl_str_mv |
Machine learning Alzheimer's disease Amyloid pathology Clinical trial Machine learning Preclinical Alzheimer’s disease Screening Secondaryprevention Aprenentatge automàtic Alzheimer, Malaltia d' Àrees temàtiques de la UPC::Ciències de la salut::Medicina Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
| topic |
Machine learning Alzheimer's disease Amyloid pathology Clinical trial Machine learning Preclinical Alzheimer’s disease Screening Secondaryprevention Aprenentatge automàtic Alzheimer, Malaltia d' Àrees temàtiques de la UPC::Ciències de la salut::Medicina Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
| description |
The final publication is available at IOS Press through http://dx.doi.org/10.3233/JAD-180299”. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2018-01-01 2019 2019-01-22 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/127331 https://dx.doi.org/10.3233/JAD-180299 |
| url |
https://hdl.handle.net/2117/127331 https://dx.doi.org/10.3233/JAD-180299 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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application/pdf |
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IOS Press |
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IOS Press |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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