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@ARTICLE{Manera:154809,
author = {Manera, Ana L and Dadar, Mahsa and Van Swieten, John
Cornelis and Borroni, Barbara and Sanchez-Valle, Raquel and
Moreno, Fermin and Laforce, Robert and Graff, Caroline and
Synofzik, Matthis and Galimberti, Daniela and Rowe, James
Benedict and Masellis, Mario and Tartaglia, Maria Carmela
and Finger, Elizabeth and Vandenberghe, Rik and de Mendonca,
Alexandre and Tagliavini, Fabrizio and Santana, Isabel and
Butler, Christopher R and Gerhard, Alex and Danek, Adrian
and Levin, Johannes and Otto, Markus and Frisoni, Giovanni
and Ghidoni, Roberta and Sorbi, Sandro and Rohrer, Jonathan
Daniel and Ducharme, Simon and Collins, D Louis and Rosen,
Howard and Dickerson, Bradford C and Domoto-Reilly, Kimoko
and Knopman, David and Boeve, Bradley F and Boxer, Adam L
and Kornak, John and Miller, Bruce L and Seeley, William W
and Gorno-Tempini, Maria-Luisa and McGinnis, Scott and
Mandelli, Maria Luisa and Afonso, Sónia and Almeida, Maria
Rosario and Anderl-Straub, Sarah and Andersson, Christin and
Antonell, Anna and Archetti, Silvana and Arighi, Andrea and
Balasa, Mircea and Barandiaran, Myriam and Bargalló, Nuria
and Bartha, Robart and Bender, Benjamin and Benussi, Alberto
and Benussi, Luisa and Bessi, Valentina and Binetti,
Giuliano and Black, Sandra and Bocchetta, Martina and
Borrego-Ecija, Sergi and Bras, Jose and Bruffaerts, Rose and
Caroppo, Paola and Cash, David and Castelo-Branco, Miguel
and Convery, Rhian and Cope, Thomas and Cosseddu, Maura and
Arriba, María de and Fede, Giuseppe Di and Díaz, Zigor and
Duro, Diana and Fenoglio, Chiara and Ferrari, Camilla and
Ferreira, Carlos and Ferreira, Catarina B and Flanagan, Toby
and Fox, Nick and Freedman, Morris and Fumagalli, Giorgio
and Gabilondo, Alazne and Gasparotti, Roberto and Gauthier,
Serge and Gazzina, Stefano and Giaccone, Giorgio and
Gorostidi, Ana and Greaves, Caroline and Guerreiro, Rita and
Heller, Carolin and Hoegen, Tobias and Indakoetxea, Begoña
and Jelic, Vesna and Jiskoot, Lize and Karnath, Hans-Otto
and Keren, Ron and Leitão, Maria João and Lladó, Albert
and Lombardi, Gemma and Loosli, Sandra and Maruta, Carolina
and Mead, Simon and Meeter, Lieke and Miltenberger, Gabriel
and Minkelen, Rick van and Mitchell, Sara and Moore, Katrina
M and Nacmias, Benedetta and Neason, Mollie and Nicholas,
Jennifer and Öijerstedt, Linn and Olives, Jaume and
Ourselin, Sebastien and Padovani, Alessandro and Panman,
Jessica and Papma, Janne and Peakman, Georgia and Piaceri,
Irene and Pievani, Michela and Pijnenburg, Yolande and
Polito, Cristina and Premi, Enrico and Prioni, Sara and
Prix, Catharina and Rademakers, Rosa and Redaelli, Veronica
and Rittman, Tim and Rogaeva, Ekaterina and Rosa-Neto, Pedro
and Rossi, Giacomina and Rossor, Martin and Santiago,
Beatriz and Scarpini, Elio and Schönecker, Sonja and
Semler, Elisa and Shafei, Rachelle and Shoesmith, Christen
and Tábuas-Pereira, Miguel and Tainta, Mikel and Taipa,
Ricardo and Tang-Wai, David and Thomas, David L and
Thonberg, Hakan and Timberlake, Carolyn and Tiraboschi,
Pietro and Todd, Emily and Vandamme, Philip and
Vandenbulcke, Mathieu and Veldsman, Michele and Verdelho,
Ana and Villanua, Jorge and Warren, Jason and Wilke, Carlo
and Woollacott, Ione and Wlasich, Elisabeth and Zetterberg,
Henrik and Zulaica, Miren},
collaboration = {investigators, FTLDNI and Consortium, GENFI},
title = {{MRI} data-driven algorithm for the diagnosis of
behavioural variant frontotemporal dementia.},
journal = {Journal of neurology, neurosurgery, and psychiatry},
volume = {92},
number = {6},
issn = {1468-330X},
address = {London},
publisher = {BMJ Publishing Group},
reportid = {DZNE-2021-00387},
pages = {608 - 616},
year = {2021},
abstract = {Structural brain imaging is paramount for the diagnosis of
behavioural variant of frontotemporal dementia (bvFTD), but
it has low sensitivity leading to erroneous or late
diagnosis.A total of 515 subjects from two different bvFTD
cohorts (training and independent validation cohorts) were
used to perform voxel-wise morphometric analysis to identify
regions with significant differences between bvFTD and
controls. A random forest classifier was used to
individually predict bvFTD from deformation-based
morphometry differences in isolation and together with
semantic fluency. Tenfold cross validation was used to
assess the performance of the classifier within the training
cohort. A second held-out cohort of genetically confirmed
bvFTD cases was used for additional validation.Average
10-fold cross-validation accuracy was $89\%$ $(82\%$
sensitivity, $93\%$ specificity) using only MRI and $94\%$
$(89\%$ sensitivity, $98\%$ specificity) with the addition
of semantic fluency. In the separate validation cohort of
definite bvFTD, accuracy was $88\%$ $(81\%$ sensitivity,
$92\%$ specificity) with MRI and $91\%$ $(79\%$ sensitivity,
$96\%$ specificity) with added semantic fluency scores.Our
results show that structural MRI and semantic fluency can
accurately predict bvFTD at the individual subject level
within a completely independent validation cohort coming
from a different and independent database.},
cin = {Clinical Dementia Research München},
ddc = {610},
cid = {I:(DE-2719)1111016},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:33722819},
doi = {10.1136/jnnp-2020-324106},
url = {https://pub.dzne.de/record/154809},
}