Persistent homology approach distinguishes potential pattern between “Early” and “Not Early” hepatic decompensation groups using MRI modalities

Primary sclerosis cholangitis (PSC) predisposes individuals to liver failure, but it is challenging for radiologists examining radiologic images to predict which patients with PSC will ultimately develop liver failure. Motivated by algebraic topology, a topological data analysis - inspired framework...

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Bibliographic Details
Published in:Current directions in biomedical engineering 2021-10, Vol.7 (2), p.488-491
Main Authors: Singh, Yashbir, Jons, William, Conte, Gian Marco, Jagtap, Jaidip, Zhang, Kuan, Sobek, Joseph D., Rouzrokh, Pouria, Eaton, John E., Erickson, Bradley J.
Format: Article
Language:English
Subjects:
Hepatic decompensation
Persistent Homology
Primary sclerosing cholangitis
Topological data analysis
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Summary:Primary sclerosis cholangitis (PSC) predisposes individuals to liver failure, but it is challenging for radiologists examining radiologic images to predict which patients with PSC will ultimately develop liver failure. Motivated by algebraic topology, a topological data analysis - inspired framework was adopted in the study of the imaging pattern between the “Early Decompensation” and “Not Early” groups. The results demonstrate that the proposed methodology discriminates “Early Decompensation” and “Not Early” groups. Our study is the first attempt to provide a topological representation-based method into early hepatic decompensation and not early groups.
ISSN:2364-5504
2364-5504
DOI:10.1515/cdbme-2021-2124