Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables

Krishnakant Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar Iyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Predicting the future course of a disease with limited information is an essential but challenging problem in health care. For older adults, especially the ones suffering from Alzheimer's disease, accurate prediction of their longitudinal trajectories of cognitive decline can facilitate appropriate prognostic clinical action. Increasing evidence has shown that longitudinal brain imaging data can aid in the prediction of cognitive trajectories. However, in many cases, only a single (base-line) measurement from imaging is available for prediction. We propose a novel model for predicting the trajectory of cognition, using only a baseline measurement, by leveraging the temporal dependence in cognition. On both a synthetic dataset and a real-world dataset, we demonstrate that our model is superior to prior approaches in predicting cognition trajectory over the next five years. We show that the model's ability to capture nonlinear interaction between features leads to improved performance. Further, the proposed model achieved significantly improved trajectory prediction in subjects at higher risk of cognitive decline (those with genetic risk and worse clinical profiles at baseline), highlighting its clinical utility.

Original languageEnglish (US)
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages1326-1330
Number of pages5
ISBN (Electronic)9781538693308
DOIs
StatePublished - Apr 2020
Event17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States
Duration: Apr 3 2020Apr 7 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2020-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
CountryUnited States
CityIowa City
Period4/3/204/7/20

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Saboo, K., Hu, C., Varatharajah, Y., Vemuri, P., & Iyer, R. (2020). Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. In ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging (pp. 1326-1330). [9098511] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2020-April). IEEE Computer Society. https://doi.org/10.1109/ISBI45749.2020.9098511