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Journal of Translational Medicine
Published in: Journal of Translational Medicine 1/2019

Open Access 01-12-2019 | Magnetic Resonance Imaging | Protocol

Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy

Authors: Rebecca J. Weiss, Sara V. Bates, Ya’nan Song, Yue Zhang, Emily M. Herzberg, Yih-Chieh Chen, Maryann Gong, Isabel Chien, Lily Zhang, Shawn N. Murphy, Randy L. Gollub, P. Ellen Grant, Yangming Ou

Published in: Journal of Translational Medicine | Issue 1/2019

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Abstract

Background

Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magnetic Resonance Images (MRI) and clinical records of neonatal hypoxic ischemic encephalopathy (HIE), from which clinically-relevant analytic algorithms can be developed for MRI-based HIE lesion detection and outcome prediction.

Methods

This retrospective study will use clinical registries and big data informatics tools to build a multi-site dataset that contains structural and diffusion MRI, clinical information including hospital course, short-term outcomes (during infancy), and long-term outcomes (~ 2 years of age) for at least 300 patients from multiple hospitals.

Discussion

Within machine learning frameworks, we will test whether the quantified deviation from our recently-developed normative brain atlases can detect abnormal regions and predict outcomes for individual patients as accurately as, or even more accurately, than human experts.
Trial Registration Not applicable. This study protocol mines existing clinical data thus does not meet the ICMJE definition of a clinical trial that requires registration
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Metadata
Title
Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy
Authors
Rebecca J. Weiss
Sara V. Bates
Ya’nan Song
Yue Zhang
Emily M. Herzberg
Yih-Chieh Chen
Maryann Gong
Isabel Chien
Lily Zhang
Shawn N. Murphy
Randy L. Gollub
P. Ellen Grant
Yangming Ou
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2019
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-019-2119-5

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