@article{AnderlStraubLausserLombardietal.2021, author = {Anderl-Straub, Sarah and Lausser, Ludwig and Lombardi, Jolina and Uttner, Ingo and Fassbender, Klaus and Fliessbach, Klaus and Huppertz, Hans-J{\"u}rgen and Jahn, Holger and Kornhuber, Johannes and Obrig, Hellmuth and Schneider, Anja and Semler, Elisa and Synofzik, Matthis and Danek, Adrian and Prudlo, Johannes and Kassubek, Jan and Landwehrmeyer, Bernhard and Lauer, Martin and Volk, Alexander E. and Wiltfang, Jens and Diehl-Schmid, Janine and Ludolph, Albert C. and Schroeter, Matthias and Kestler, Hans A. and Otto, Markus}, title = {Predicting disease progression in behavioral variant frontotemporal dementia}, volume = {13}, pages = {e12262}, journal = {Alzheimer's \& Dementia: Diagnosis, Assessment \& Disease Monitoring}, number = {1}, publisher = {Alzheimer's Association}, address = {Chicago}, issn = {2352-8729}, doi = {https://doi.org/10.1002/dad2.12262}, year = {2021}, abstract = {Introduction The behavioral variant of frontotemporal dementia (bvFTD) is a rare neurodegenerative disease. Reliable predictors of disease progression have not been sufficiently identified. We investigated multivariate magnetic resonance imaging (MRI) biomarker profiles for their predictive value of individual decline. Methods One hundred five bvFTD patients were recruited from the German frontotemporal lobar degeneration (FTLD) consortium study. After defining two groups ("fast progressors" vs. "slow progressors"), we investigated the predictive value of MR brain volumes for disease progression rates performing exhaustive screenings with multivariate classification models. Results We identified areas that predict disease progression rate within 1 year. Prediction measures revealed an overall accuracy of 80\% across our 50 top classification models. Especially the pallidum, middle temporal gyrus, inferior frontal gyrus, cingulate gyrus, middle orbitofrontal gyrus, and insula occurred in these models. Discussion Based on the revealed marker combinations an individual prognosis seems to be feasible. This might be used in clinical studies on an individualized progression model.}, language = {en} }